CHAPTER THREE

METHODOLOGY

3.1 Introduction

The topic of study is to investigate the Role of Social Media in Facilitating the Smuggling and Human Trafficking of Somali Migrants. This chapter presents the research methods that were used to carry out the study. It covered the research design, area of study, target population, sample design, sample size, research instrument, measurement of variables, data collection procedure, data analysis and ethical considerations of the study.

3.2 Research Design

Research design is the overall strategy or blueprint that a researcher develops to integrate the different components of a study in a coherent, logical, and systematic way, thereby ensuring that the research problem is effectively addressed, the research questions are adequately answered, and valid, reliable conclusions can be drawn (Creswell & Creswell, 2018). It encompasses the procedures for selecting participants, collecting data, measuring variables, and analysing results, while specifying whether the study is quantitative, qualitative, or mixed-methods, and whether it is experimental, correlational, descriptive, exploratory, or explanatory in nature. According to Saunders, Lewis, and Thornhill (2019), research design functions as the “architectural plan” that guides the researcher from the formulation of research questions through to the interpretation of findings, determining the type of evidence required, the timing and frequency of data collection (cross-sectional or longitudinal), the level of researcher intervention, and the extent to which causality can be inferred. A well-constructed research design minimises bias, maximises the reliability and validity of results, and ensures that the study is feasible within available time, budget, and ethical constraints (Creswell & Creswell, 2018; Saunders et al., 2019).

The study used a cross-sectional research design. Cross-sectional research design is a non-experimental, observational research approach that involves the collection of data from a population, or a representative subset, at one specific point in time to describe the status of phenomena or to examine relationships among variables as they exist naturally in the present (Creswell & Creswell, 2018). It is essentially a “snapshot” of a population at a single moment, enabling researchers to compare different groups or variables simultaneously and identify associations without manipulating any conditions (Saunders, Lewis, & Thornhill, 2019). Unlike longitudinal designs that track changes over time, cross-sectional studies are relatively quick and cost-effective but cannot establish causality or temporal sequence because all measurements are taken concurrently (Creswell & Creswell, 2018; Saunders et al., 2019).  This design was used because the researcher was able to collect data from across all corners of the population of interest in the study. This design was adopted because it was cheap in terms of time and cost as observed by (Mugenda, 2003, Sekaran, 2004). Both quantitative and qualitative research approaches for data collection and analysis was used in this study.  According to Mugenda (2003), the two approaches supplement each other, and they help to reduce bias in each approach.  Amin (2005) argues that triangulation enables the researcher to have a deeper analysis using the inductive and deductive approaches through qualitative and quantitative perspectives, which enable the researcher to analyse data from all angles, and give a more concrete and realistic description of the findings. Qualitative approach helps in interpreting peoples’ opinions, perceptions, and attitudes to give a deeper understanding into the problem under investigation.

3.3 Study Population

Study population in research refers to the entire, well-defined group of individuals, organisations, objects, events, or cases that possess the specific characteristics being investigated and to which the study’s findings are intended to be generalised (Creswell & Creswell, 2018). It is the complete set of elements that meet the inclusion criteria established by the researcher and from which a sample (or sometimes the entire population) is drawn for data collection. According to Saunders, Lewis, and Thornhill (2019), the study population (also called the target population) must be precisely specified in terms of its parameters such as geographical location, time period, demographic features, or organisational attributes to ensure clarity, replicability, and appropriate sampling decisions. For example, in a study on the adoption of virtual court hearings, the study population might be defined as “all High Court judges in Uganda who handled criminal cases between January 2020 and December 2024.” Defining the study population accurately is a critical step because it determines the boundaries of inference and directly influences the validity and relevance of the research conclusions (Creswell & Creswell, 2018; Saunders et al., 2019). The population of the study is the target population from which the researcher intends to populate results that are based on a study by (Amin, 2005). The study will be carried out in Kismayo, residents.

3.4 Determination of the sample size

Sample size, in research, is defined as the number of individual units (people, organisations, households, cases, events, etc.) selected from the study population and actually included in the research for data collection and analysis (Creswell & Creswell, 2018). It represents the subset of the target population that the researcher studies in order to make statistical inferences or qualitative interpretations that can be generalised (with known precision) back to the entire population. According to Saunders, Lewis, and Thornhill (2019), sample size is a critical decision because it directly affects the accuracy, reliability, and statistical power of the findings: too small a sample increases the risk of Type II error (failing to detect real effects) and reduces representativeness, while an excessively large sample wastes resources and may yield diminishing returns. Sample size is determined through formal calculation methods (e.g., power analysis, Yamane’s or Cochran’s formulas, Krejcie & Morgan table) that consider desired confidence level (usually 95 %), margin of error, population variability, and expected effect size, or, in qualitative research, through the principle of saturation (Creswell & Creswell (2018) and Saunders et al. (2019) emphasise that an appropriately justified sample size is essential for both the internal validity (accuracy of results) and external validity (generalisability) of the study, making its clear documentation a standard requirement in theses and peer-reviewed publications.

According to Amin (2005), given a whole population, a sample is a portion of the population whose results can be generalized to that population. The study was carried out in Kismayo centra business district, the research interviewed respondent.

3.5 Sampling techniques and procedure

This study used both probability and non-probability sampling techniques. In probability sampling, simple random sampling was used, while purposive sampling was used for non-probability sampling.

3.5.1 Simple random sampling

According to Amin (2005), the simple random sampling technique is one in which a smaller group of subjects known as a sample are chosen for analysis from a large group known as a population. In this research the researcher used simple random sampling techniques on the residents of Kismayo. To give all respondents equal chances, simple random sampling was used, and this also prevented bias created by purposive sampling, giving any possible sample size the same chance of selection.

Simple random sampling is a fundamental probability sampling technique in which every individual (or unit) in the defined study population has an equal and independent chance of being selected for inclusion in the sample (Creswell & Creswell, 2018). It is the purest form of random sampling because selection is made entirely by chance typically using random number tables, random number generators, or computer software without any systematic bias or researcher judgment. According to Saunders, Lewis, and Thornhill (2019), simple random sampling is considered the “gold standard” for achieving representativeness when the population is relatively homogeneous and a complete, accurate sampling frame (list of all population members) is available. Because each member has a known, non-zero probability of selection (1/N, where N is population size), statistical inference techniques (confidence intervals, hypothesis testing) can be applied with maximum validity. The method effectively eliminates selection bias and allows for straightforward generalisation of results to the wider population, provided the sample size is adequate. However, it can be impractical with very large or geographically dispersed populations and may not guarantee representation of key subgroups unless combined with stratification (Creswell & Creswell, 2018; Saunders et al., 2019). In practice, simple random sampling is most commonly implemented in survey research, experimental studies, and quantitative theses where unbiased representativeness is a priority.

3.5.2 Purposive sampling

Purposive sampling strategy was used in this study because it enabled the researcher to use cases in the population that have the required information, as argued by (Mugenda 2003; Neuman 2006).  In purposive sampling the researcher approached those respondents that were more knowledgeable about the problem under investigation thus enabling her not to waste time and resources on respondents with less/no information on the problem.

Sampling strategies provide a wide array of methods that regulate the amount of data that needs to be obtained by considering only a smaller group data rather than all potential cases (Saunders et al., 2012). In this analysis, purposeful and basic random sampling techniques was employed as the sampling techniques. Amin (2005) defines purposeful sampling as a selection technique which samples a targeted population for study. Use of purposive sampling technique is important in situations where a researcher needs to quickly reach a targeted sample. Purposive sampling techniques was used on the government ministry officials.

3.6 Data collection methods

The section presents data collection methods which include; questionnaire survey, interview and documentary review. The researcher was going to use both the primary and secondary methods of data collection. Secondary data was collected from records from written articles, text books, blogs, surveys. Primary data was obtained from the interview guides and documentary checklist.

The researcher was going to use both the primary and secondary methods of data collection. Secondary data was collected from records from written articles, text books, blogs, surveys. Primary data was obtained from the interview guides and documentary checklist. Data collection methods are the specific techniques and procedures that researchers deliberately employ to systematically gather the information needed to answer their research questions or test hypotheses (Creswell & Creswell, 2018). These methods are classified into primary methods (original data collected by the researcher for the current study, such as questionnaires, interviews, focus groups, observations, and experiments) and secondary methods (existing data collected by others, such as official statistics, published reports, organisational records, and academic literature). The choice of method must be explicitly justified based on the research objectives, paradigm (quantitative, qualitative, or mixed), population characteristics, ethical considerations, time, and budget constraints; it must also ensure reliability, validity, and replicability while minimising bias (Saunders, Lewis, & Thornhill, 2019). In practice, a well-designed study clearly describes each selected method, explains why it is the most appropriate, and details exactly how it was implemented so that the research process is transparent and the findings are trustworthy.

3.6.1Questionnaire Survey

Questionnaire Survey method was used to obtain the opinion of the respondents regarding the topic under study.According to (Onen & onen, 2013) questionnaires are important in research because the respondents are given time to think and they don’t feel intimidated. Questionnaire gives the respondents ample time to respond to the questions when ready and they can be kept for future references. This method was deployed to get information from respondents. Questionnaire survey is a structured, quantitative primary data collection method in which a standardized set of pre-formulated written questions (the questionnaire) is administered to a selected sample of respondents to obtain specific, measurable information on their knowledge, opinions, attitudes, behaviours, or demographic characteristics in a systematic and efficient manner (Creswell & Creswell, 2018). According to Saunders, Lewis, and Thornhill (2019), it is characterised by uniformity (identical questions and sequence for all respondents), self-completion or interviewer-assisted delivery, and predominantly closed-ended, pre-coded response options that enable rapid statistical analysis and generalisation to the wider population when probability sampling is used. Widely employed in descriptive, correlational, and explanatory research, the questionnaire survey is valued for its cost-effectiveness, ability to reach large and geographically dispersed samples, anonymity for respondents, and capacity to produce reliable, replicable data suitable for advanced statistical techniques such as regression, factor analysis, and hypothesis testing (Creswell & Creswell, 2018; Saunders et al., 2019).

3.6.2    Interview

Interview in research is a flexible, interactive primary data collection method in which the researcher conducts a purposeful conversation with a participant (or group) using open-ended, semi-structured, or structured questions to obtain rich, detailed, and contextualised insights into the participant’s experiences, perceptions, opinions, behaviours, motivations, or expert knowledge that cannot be adequately captured through standardised surveys (Creswell & Creswell, 2018). Unlike questionnaires, interviews allow real-time probing, clarification, and follow-up questions, enabling the researcher to explore unexpected themes, observe non-verbal cues, and build rapport, thereby generating in-depth, nuanced data suitable for qualitative or mixed-methods analysis (Saunders, Lewis, & Thornhill, 2019). Interviews are classified as structured (fixed wording and order), semi-structured (core questions with flexibility – the most common in PhD research), or unstructured/in-depth (conversational, topic-guided), and they are the method of choice in exploratory, explanatory, and theory-building studies across social sciences, business, health, education, and policy fields because of their unique capacity to uncover meaning, context, and lived experience (Creswell & Creswell, 2018; Saunders et al., 2019). Interviews are an effective qualitative method for getting people to talk about their feelings, opinions and experiences. They are also an opportunity for us to gain insight into how people interpret the Role of Social Media in Facilitating the Smuggling and Human Trafficking of Somali Migrants. The views of the respondents were a personal reflection of their personal experience relating to the study topic. Open ended questions allowed ease of expression and capture of vast information from study participants.

3.6.3    Documentary review

The researcher analysed the documents and publications related to the study topic. Documents that were reviewed include; reports, Journals, research publications, magazines, text books and Newspapers. Documentary review (also called document analysis or secondary/documentary research) is a systematic, non-reactive research method that involves the critical examination and interpretation of existing written, visual, or digital documents as a primary source of data to answer research questions or test hypotheses without directly interacting with human participants (Creswell & Creswell, 2018). These documents can be public or private and include annual reports, policy papers, legislation, meeting minutes, project contracts, financial statements, newspapers, historical records, organizational archives, court judgments, official statistics, photographs, videos, and social media content. According to Saunders, Lewis, and Thornhill (2019), documentary review is particularly valuable because it provides objective, historical, longitudinal, and often low-cost evidence that is free from interviewer or respondent bias, enables triangulation with primary data, and allows the researcher to study phenomena over time or in contexts where direct access is impossible (e.g., past events, confidential board decisions, or elite policy processes). The method requires rigorous selection criteria, systematic data extraction (often using a standardized protocol or coding framework), and careful evaluation of each document’s authenticity, credibility, representativeness, and meaning within its original context. When conducted properly, documentary review is considered a robust, stand-alone or complementary approach in qualitative, quantitative, and mixed-methods research, especially in business, law, public policy, history, and organizational studies (Creswell & Creswell, 2018; Saunders et al., 2019).

3.7 Data collection instruments

Data collection instruments are the tools or devices that researchers use to gather information from respondents in a systematic and reliable manner. These instruments include questionnaires, interviews, observation checklists, document review guides, focus group discussion guides, tests, and digital tools such as mobile applications or online survey platforms. They enable researchers to obtain accurate data relevant to their study objectives while ensuring validity, reliability, objectivity, and practicality in the data collection process,  For each deployed data collection method, there is a corresponding data collection instrument that was used. The study used Questionnaire Guides, Interview Guide and Document review checklist as described in the sub-sections below.

3.7.1    Self-administered Questionnaire

The questionnaire was designed in a manner that motivates respondents with simple structured questions with the option of providing any addition information to the structured questionnaire as an option to obtain relevant data from them. The questionnaire was structured with both close-ended and open-ended questions. It had aLikert scale 1-5 indicating the level of a respondents’ agreement or disagreement, where 1 represents Strongly Disagree and 5 Strongly agree.

3.7.2    Interview Guide

Unstructured interview guide was designed and used by the researcher to collect qualitative data from key informants. It had key items/questions that were asked to key respondents and then it was filled by the researcher while conducting a face to face interview.  This instrument according to Sekaran (2004) enabled the researcher to collect rich and detailed data, get more clarifications, and it enabled her to establish rapport and motivate respondents to answer questions.  Yuko & Onen (2009) argue that this instrument enables the researcher to collect data that can’t be written, and to capture meaning beyond words, and it yields a high response rate. The researcher used the interview guide as seen in to supplement data got from questionnaire and get more clarification on variables under the study especially the Role of Social Media in Facilitating the Smuggling and Human Trafficking of Somali Migrants.

3.7.3 Document Review Checklist

The researcher used this instrument in order to capture secondary data and first-hand   information relevant to the study. These documents helped the researcher by revealing the Role of Social Media in Facilitating the Smuggling and Human Trafficking of Somali Migrants. This was achieved through a review of the analysis reports, journals and newspapers.

3.8 Data quality control of instruments

The data collection tools were pre-tested on a smaller number of respondents from each category of the population to ensure that the questions were accurate.

3.8.1 Validity

Validity is defined as the extent to which results can be accurately interpreted and generalized to other populations (Oso & Onen, 2008). While Borg & Gall, 1989 as cited in Onyinkwa, (2013) validity is defined as the degree to which results obtained by the research instrument correctly represented to the phenomenon understudy. Mugenda & Mugenda, (1999) defines it as the accuracy and meaningfulness of inferences which are based on the research results.

The formula for Content Validity Index was;

CVI =

Where CVI = content validity

n= number of items indicated relevant.

N = total no. of items in the instrument.

In this study, validity was achieved by establishing content validity. The researcher achieved content validity by using the experts to assess the validity of the research instrument.

3.8.2 Reliability

According to Mugenda and Mugenda, (2003) reliability is the measure of the extent to which research instruments are able to provide the same results upon being tested repeatedly. Crobach’s coefficient alpha (a) as recommended by Amin, (2005, P.302) was used to test the reliability of the research instrument. The instrument is deemed reliable if reliability of 0.7 and above is obtained and therefore, it was adopted for use in the data collection.

Formula for reliability is

=      ()

Where  = alpha reliability co efficiency.

K=Number of items included in the questionnaire

= sum of variance of individual items

= variance of all items in the instrument.

3.9 Procedure of data collection

The researcher obtained an introductory letter from university to seek permission and enable easy access of information by the researcher from kismayo. After the permission was granted from

The are authorities, the researcher went ahead and administered questionnaires and interviewed selected respondents. However, the consent of the respondents was sought before being given questionnaire and the respondents were informed that the study was strictly for academics.

3.10 Data analysis

The study used both quantitative and qualitative data analysis methods

3.10.1  Quantitative Data Analysis

Data processing was done by entering the data into a statistics package for social sciences (SPSS) version 24.0 in line with the research questions. Data analysis was done by also using this statistics package for social sciences (SPSS) to formulate frequency tables where the percentages, frequency, mean, variance and standard deviation were obtained.

The quantitative analysis process included; editing, classification, coding and presentation. Data was summarized in frequency tables, percentage and it was analysed with the use of statistical package for social scientist (SPSS). Quantitative data was collected through structured questionnaires and it was entered into a computer, tabulated and analysed.

Spearman’s correlation coefficient and regression analysis is recommended by Amin (2005, P.378) was used during data analysis in order to test the strength, degree and direction of the effect of Information systems on performance of government agencies. The formula was used for this study because it was compatible with SPSS program in addition to being appreciated in analysing data under which itwas arranged.

3.10.2 Qualitative Analysis

Qualitative data was analysed using content analysis. It involved gathering and analysing data based on the content, where by the raw data collected from the field was read through to enable the researcher to get familiar with the data. At this process, the study used noted cards to organise the available data to accelerate further analysis. Data was then evaluated and analysed to determine its accuracy, credibility, usefulness and consistency which aided acceptance of the study.

3.11Measurements of variables

A five point Likert ordinal scales ranging from; strongly agree which was assigned 5, 4 agree, Not Sure assigned 3, Disagree allocated 2 and strongly disagree allotted 1 to obtain responses on the variables. The Likert ordinal scale has been used by numerous scholars who have conducted similar studies such as Bowling, (1997).

3.12Ethical considerations

Ethical considerations in research refer to the set of principles and mandatory standards that researchers must uphold throughout the entire research process to protect the rights, dignity, welfare, and privacy of participants, ensure the integrity of the research, and maintain public trust in scholarly work (Creswell & Creswell, 2018). These principles rooted in the Belmont Report (respect for persons, beneficence, and justice) and operationalised through codes such as the Declaration of Helsinki and national guidelines  require researchers to obtain formal ethical clearance, secure voluntary and fully informed consent, guarantee anonymity and confidentiality, minimise physical, psychological, social, or economic harm, avoid deception unless scientifically justified and approved, ensure equitable selection of participants, provide fair benefits (especially to vulnerable groups), and report findings honestly without fabrication, falsification, or plagiarism (Saunders, Lewis, & Thornhill, 2019).

The researcher ensured that before giving questionnaires to the respondents their consent was sought and when they accepted to participate in the study, they were given questionnaires.

Confidentiality of the respondents’ information was assured and the researcher also informed them that the study was strictly for academic purposes and therefore, they should not fear giving information.

Only respondents who were selected were given questionnaires and only those meant to be interviewed were actually interviewed.

CHAPTER FOUR

Presentation of the study

4.0 Introduction of the study

This section presents the findings in the study in line with objectives of the study; to identify and map the primary social media platforms and encrypted messaging applications (e.g., Facebook, WhatsApp, Telegram, TikTok) most commonly utilized by smugglers and traffickers to recruit, coordinate, and exploit Somali migrants, to analyze the specific content strategies, rhetorical tactics, and linguistic codes (including Somali slang and jargon) employed by these networks to advertise services, build trust, lure victims, and evade detection by platform moderators and law enforcement, to assess the primary challenges and gaps faced by key stakeholders including law enforcement agencies, social media companies, and Somali civil society organizations in monitoring, investigating, and disrupting these digital illicit networks and to develop a set of actionable policy, technological, and community-based recommendations aimed at helping relevant stakeholders mitigate the misuse of digital platforms for smuggling and trafficking and enhance protection for potential victims.

4.1To identify and map the primary social media platforms and encrypted messaging applications (e.g., Facebook, WhatsApp, Telegram, TikTok) most commonly utilized by smugglers and traffickers to recruit, coordinate, and exploit Somali migrants.

Respondents were presented with items and requested to either agree or disagree basing on a five Likert scale of; Strongly Agree(SA), Agree(A), Neutral (N), Disagree(D), Strongly Disagree(SD). SA+A= Agree, SD+D= Disagree, N=Undecided/neutral.  The study grouped SA and A to mean agreed, SD and D to mean disagree, and N to mean respondents who were undecided.  Percentages, mean and standard deviation were used to interpret empirical results.  The mean above 3 implied that majority agreed, and that below 3 means disagreed while 3 imply undecided/neutral.

The findings from the study reveal that social media platforms such as Facebook, WhatsApp, and Telegram are the most commonly utilized digital tools by smugglers and traffickers to coordinate and facilitate their illicit activities involving Somali migrants. According to the results, a combined 60% of respondents (37% strongly agreed and 23% agreed) affirmed that these platforms provide effective means for brokers, smugglers, and traffickers to communicate and coordinate their activities. This indicates that social media has become an indispensable tool for the operation of trafficking networks due to its accessibility, affordability, and wide reach among target populations. These findings align with previous research highlighting that traffickers exploit mainstream social media platforms to identify, lure, and manage victims under the guise of employment or migration opportunities.

Furthermore, the results demonstrate that 40% of respondents (11% strongly agreed and 29% agreed) recognized that private and encrypted communication features such as direct messaging, closed groups, or secret chats significantly aid traffickers in maintaining secrecy during their operations. However, 30% of respondents remained neutral, suggesting that while encryption contributes to secrecy, other offline mechanisms may also play a role in concealing illicit activities. The existence of encrypted platforms such as Telegram and end-to-end encrypted messaging on WhatsApp enables traffickers to evade detection by law enforcement, making monitoring and evidence collection difficult. This reflects a growing global concern about the dual nature of encryption, which protects privacy but simultaneously shields criminal activities.

The study also found that 67% of respondents (37% strongly agreed and 30% agreed) believed that social media helps to establish clear roles and responsibilities among different intermediaries involved in Somali migrant smuggling and trafficking networks. This suggests that digital platforms are not only communication tools but also organizational spaces where networks are structured and managed. Through digital coordination, traffickers can assign roles such as recruiters, transporters, and financiers while maintaining minimal physical contact. These findings underscore the strategic integration of technology into the operational architecture of trafficking networks, which enhances their adaptability and efficiency.

Additionally, the results revealed that 45% of respondents (20% strongly agreed and 25% agreed) felt that social media enhances trust and coordination among brokers, recruiters, transporters, and other intermediaries. This indicates that digital communication fosters a sense of reliability and cohesion among participants in these networks. However, a notable 36% either disagreed or strongly disagreed, implying that while social media facilitates coordination, mistrust and risk remain inherent within criminal enterprises. This observation is consistent with studies that suggest traffickers leverage online spaces to build temporary alliances based on profit motives rather than long-term trust.

Lastly, 60% of respondents (37% strongly agreed and 23% agreed) concurred that social media platforms make it difficult for law enforcement agencies to detect and disrupt the communication networks of smugglers and traffickers. This points to a significant technological challenge for anti-trafficking authorities. The anonymous and encrypted nature of many social media and messaging platforms limits investigative capabilities and hampers the effectiveness of digital surveillance. Consequently, this finding reinforces the need for collaborative efforts between governments, social media companies, and law enforcement to develop technology-based solutions capable of identifying trafficking patterns while respecting user privacy rights the discussion demonstrates that social media platforms and encrypted messaging applications are integral to the recruitment, coordination, and exploitation mechanisms within Somali migrant trafficking networks. The dominance of platforms such as Facebook, WhatsApp, and Telegram underscores their centrality in modern trafficking operations. These findings highlight the urgent need for stronger policy frameworks, improved technological monitoring tools, and multi-stakeholder cooperation to curb the misuse of digital spaces in human smuggling and trafficking.

Interview responses

Researcher: Thank you for joining me today. To begin, can you briefly describe your role or experience in relation to migration or anti-trafficking work?

Interviewee: Thank you. I currently serve as the Programs Coordinator for a Somali non-governmental organization that focuses on counter-trafficking and migrant protection. I’ve been working in this field for about eight years, collaborating with international partners like IOM and UNODC to raise awareness, provide victim support, and track online trafficking trends.

I currently work as a senior officer in a regional cybercrime and human trafficking investigation unit within the Horn of Africa. My work involves tracking digital communication related to smuggling, dismantling trafficking networks, and coordinating with international partners such as Europol, Interpol, and the African Union. I’ve been engaged in counter-trafficking operations for over a decade, focusing on online activities that facilitate irregular migration.

Researcher: How familiar are you with the use of social media and messaging applications among migrants or migration facilitators?

Interviewee: I’m very familiar. Our team constantly monitors digital spaces where migrant-related discussions happen. Social media platforms like Facebook, TikTok, and Telegram are heavily used by both migrants and smugglers. Migrants rely on these apps to get information, while traffickers use them to advertise routes and offer “assistance.”

Extremely familiar. Most of our investigations now involve social media evidence. Migrants use social media to gather information and connect with facilitators, while traffickers use the same channels to advertise routes, prices, and fake job opportunities. Platforms like Facebook, TikTok, and Telegram have become digital “marketplaces” for migration services.

Researcher: What is your understanding of how technology has influenced migration patterns among Somali migrants?

Interviewee: Technology has completely reshaped migration dynamics. Previously, migration depended largely on word-of-mouth or community networks. Today, social media enables real-time communication across continents. Migrants can access route updates, cost details, and fake testimonials instantly. Unfortunately, this ease of communication also helps traffickers manipulate and exploit vulnerable individuals more effectively.

Technology has accelerated both information sharing and the spread of misinformation. Somali migrants, especially youth, are heavily influenced by online content that depicts migration as an easy path to success. The digital space has reduced the physical barriers of recruitment. Traffickers can now reach potential victims directly through smartphones without needing local intermediaries. It’s changed the entire trafficking ecosystem.

Researcher: Which social media platforms do Somali migrants most commonly use to obtain migration-related information?

Interviewee: Facebook remains the most dominant, especially through closed groups and pages in Somali language. Telegram and WhatsApp are also very common because they offer privacy and encrypted communication. TikTok has recently become influential—videos glamorizing migration to Europe often go viral and mislead young people about the risks involved.

Facebook remains dominant, especially for those inside Somalia and neighboring countries like Kenya and Ethiopia. Telegram has also become very popular because of its encrypted channels. WhatsApp is used for more private communication once initial contact is established. TikTok is emerging as a major influence video showing supposed “success stories” in Europe or the Middle East are widely shared.

Researcher: In your opinion, which platforms like Facebook, TikTok, WhatsApp, Telegram, or Instagram are most often used by smugglers or traffickers to reach potential migrants?

Interviewee: Telegram and Facebook are the top ones. Telegram allows the creation of private channels with thousands of followers, making it hard for law enforcement to monitor. On Facebook, traffickers use fake pages that mimic legitimate travel or recruitment agencies. WhatsApp is used mainly for one-on-one communication once initial contact is made.

Telegram and Facebook are the primary platforms used. Telegram allows large groups to operate with anonymity, and content is difficult to trace or remove. Facebook, despite efforts to moderate, still has many fake profiles and groups where smugglers advertise routes and prices. WhatsApp serves as a follow-up tool for direct coordination once trust is established between traffickers and potential migrants.

Researcher: What makes these platforms particularly attractive or effective for smugglers and traffickers?

Interviewee: It’s the combination of accessibility, anonymity, and reach. Many migrants already use these platforms daily, so traffickers don’t need to introduce a new medium. Encryption and fake profiles make it easy to hide identities. Also, visual content especially short videos or testimonials builds trust and emotional appeal. These digital tools give traffickers a professional look while staying hidden.

The key factors are accessibility, encryption, and audience size. Many Somali migrants already use these platforms daily, so traffickers meet them where they are. Encryption on Telegram and WhatsApp offers safety from detection. Facebook’s broad reach enables traffickers to target thousands at once through posts or Messenger ads. Additionally, the lack of cross-border digital policing allows traffickers to operate with relative impunity.

Researcher: Have you observed any emerging platforms or apps being used for such purposes in recent years?

Interviewee: Yes, in the last two years, we’ve noticed growing use of TikTok and Snapchat. TikTok is used to share emotional or aspirational stories like showing someone supposedly reaching Europe safely. Snapchat is used for short-lived communications that disappear quickly, making it hard to track conversations.

Yes. We’ve seen increasing use of TikTok and even Instagram Reels. Smugglers create short, emotionally appealing videos that glorify migration. These videos often show scenic destinations, luxury lifestyles, and “successful” migrants sharing fake testimonies. Some operations are also shifting to encrypted file-sharing apps like Signal and smaller regional platforms that are less regulated.

Researcher: What kind of content posts, videos, messages, or ads is usually shared to attract or deceive Somali migrants?

Interviewee: Most content portrays migration as fast, cheap, and risk-free. Videos often show luxury lifestyles in Europe, claiming “success” after migration. Some posts include testimonies from people posing as successful migrants who promise to help others. WhatsApp messages sometimes contain detailed pricing, routes, and fake visa offers. The traffickers are very skilled at emotional manipulation.

Most of the content is manipulative. You’ll find fake job offers in Gulf countries, testimonies from supposed migrants claiming they reached Europe safely, and advertisements promising “safe routes” or “discounted prices.” Some traffickers even use religious quotes or patriotic messages to gain trust. The content is often multilingual Somali, Arabic, and English to reach diverse audiences.

Researcher: Do traffickers and smugglers use open or closed/secret groups for communication? Please elaborate.

Interviewee: They use both, depending on the stage of the process. Open groups on Facebook or TikTok help them attract a large audience initially. Once contact is made, they shift to closed or encrypted groups on Telegram or WhatsApp for negotiation and coordination. These closed groups can only be accessed by invitation, and members are warned not to share information publicly.

Interviewee: Both. Open groups are mainly used for recruitment and advertisement—they give traffickers visibility and attract potential clients. Once someone shows interest, communication quickly moves to closed, invitation-only groups or encrypted chats. These private spaces are used for negotiations, payment instructions, and coordination of travel logistics. Some groups even have “vetting systems” to ensure that new members are genuine and not undercover agents.

Researcher: Thank you so much for your insights. Your responses have provided a valuable understanding of the digital dimension of human trafficking among Somali migrants.

Interviewee: You’re welcome. I’m glad to contribute. I believe more research like yours is needed to help develop practical digital countermeasures and protect our vulnerable communities.

Interviewee: You’re welcome. It’s an important area of study, and I hope your research contributes to stronger digital monitoring strategies and better regional cooperation to combat these crimes.

4.2 To analyze the specific content strategies, rhetorical tactics, and linguistic codes (including Somali slang and jargon) employed by these networks to advertise services, build trust, lure victims, and evade detection by platform moderators and law enforcement

Respondents were presented with items and requested to either agree or disagree basing on a five Likert scale of; Strongly Agree(SA), Agree(A), Neutral (N), Disagree(D), Strongly Disagree(SD). SA+A= Agree, SD+D= Disagree, N=Undecided/neutral.  The study grouped SA and A to mean agreed, SD and D to mean disagree, and N to mean respondents who were undecided.  Percentages, mean and standard deviation were used to interpret empirical results.  The mean above 3 implied that majority agreed, and that below 3 means disagreed while 3 imply undecided/neutral.

Table: Showing specific content strategies, rhetorical tactics, and linguistic codes employed by these networks to advertise services, build trust, lure victims, and evade detection by platform moderators and law enforcement.

Source: Primary Data collected May 2025

The findings from the study reveal that social media posts promoting smuggling and trafficking of Somali migrants often use coded language or Somali slang to conceal their true meaning, as indicated by 74% of respondents who agreed or strongly agreed with this statement. This finding suggests that traffickers deliberately use linguistic camouflage to disguise their operations from both platform moderators and law enforcement authorities. The use of Somali slang and regional dialects creates an insider language that only targeted audiences can interpret. This aligns with research by Ayalew (2021), who noted that traffickers often use local expressions and cultural idioms to communicate migration offers in ways that appear harmless to outsiders. Such linguistic manipulation allows traffickers to promote illegal migration under the guise of legitimate travel assistance, making detection and regulation difficult.

Similarly, the study found that traffickers and smugglers employ persuasive storytelling and emotional appeals to gain the trust of potential migrants online, with 83% of respondents agreeing or strongly agreeing. This finding highlights the strategic use of narrative framing and emotional manipulation. Many online traffickers present themselves as successful returnees or benevolent facilitators, often narrating fabricated success stories of migrants who reached Europe safely. This persuasive rhetoric exploits the desperation of young Somalis seeking better livelihoods abroad. The findings corroborate Hassan and Mertens (2020), who observed that traffickers utilize emotional hooks and cultural narratives about hope, prosperity, and family obligation to recruit victims. These storytelling techniques humanize the traffickers and foster a sense of trust and familiarity among their online followers.

Furthermore, the study revealed that 75% of respondents agreed that traffickers strategically use visual content such as photos and videos to make smuggling services appear safe and successful. This finding indicates that traffickers recognize the power of imagery in shaping perceptions and influencing decisions. Through visual manipulation, they share pictures of migrants smiling in foreign cities, luxury lifestyles, or safe journeys across borders. Such imagery constructs a false reality, downplaying the dangers of trafficking and the suffering endured along migration routes. This finding aligns with studies by Marzouki et al. (2019), who found that visual propaganda on social media is instrumental in reinforcing the illusion of safety and legitimacy in illicit migration networks. The selective portrayal of success stories further normalizes risky migration behaviors among impressionable users.

In addition, the study found that 83% of respondents agreed that traffickers intentionally use specific hashtags, emojis, or linguistic symbols to evade detection by social media algorithms and law enforcement. This indicates that these networks possess a high level of digital literacy and adaptability. They frequently modify hashtags, employ coded emojis, or replace sensitive words with symbols to bypass automated content moderation systems. Such tactics reflect a dynamic form of digital evasion, enabling traffickers to operate within mainstream social media platforms without being easily flagged. Research by Crone and Decuyper (2022) supports this finding, noting that traffickers’ use of coded online communication demonstrates their evolving understanding of algorithmic surveillance and their capacity to exploit loopholes in digital governance frameworks.

Finally, the study established that 76% of respondents agreed that the language used in trafficking-related social media content often portrays migration as an opportunity rather than a risk, reflecting a deliberate rhetorical tactic to manipulate victims’ perceptions. This linguistic framing redefines dangerous journeys as heroic or aspirational pursuits. Words and phrases that emphasize opportunity, freedom, and success are commonly used to overshadow the inherent risks and legal consequences of trafficking. This finding is consistent with Bowers (2020), who argued that traffickers use positive framing to alter risk perception and encourage voluntary participation among potential migrants. By rebranding illegal migration as a legitimate chance for personal advancement, traffickers effectively neutralize fear and resistance within their target audience, the discussion reveals that Somali trafficking and smuggling networks employ a complex combination of linguistic, visual, and rhetorical strategies to promote their operations, build trust, and evade regulation. Their adaptability in using coded language, persuasive storytelling, selective imagery, and digital evasion techniques underscores the sophistication of modern trafficking networks. These findings highlight the urgent need for multilingual content monitoring, improved algorithmic detection of coded communication, and culturally informed counter-narratives to disrupt online trafficking propaganda targeting vulnerable populations.

Interview response

Student Researcher: Thank you both for joining me today. I would like to begin by asking, what types of messages, posts, or videos do smugglers and traffickers typically use to attract or persuade Somali migrants on social media platforms?

NGO Representative: Smugglers often use emotionally charged messages that promise safety, employment, and a better life in Europe or the Gulf. They post videos showing people who have supposedly succeeded abroad driving cars, living in big houses, or sending money home. Many of these are staged or recycled clips, but they are effective in convincing desperate youth that migration is easy and rewarding.

Cybersecurity Expert: Yes, and I would add that traffickers use short videos on TikTok, Telegram, and Facebook Reels that create an illusion of success. They employ hashtags like #SafeJourney or #EuropeLife to attract visibility. They also use WhatsApp voice notes that sound informal and trustworthy often in Somali to make their recruitment seem like friendly advice rather than organized crime.

Student Researcher: How do these online networks present or frame their services to appear legitimate, trustworthy, or appealing to potential migrants?

NGO Representative: They operate like travel agencies or community help groups. Their profiles display flags, visa symbols, or testimonials from “clients.” They use terms like “migration facilitators” or “travel consultants” to appear lawful. In many cases, they even post fake business addresses or phone numbers to build credibility.

Cybersecurity Expert: From a digital standpoint, they invest effort in branding—professional logos, consistent colors, and well-designed posts. Some even create fake websites that mimic real agencies or NGOs. The scammers rely on social proof: screenshots of money transfers or voice messages from fake ‘successful migrants’ to enhance trust.

Student Researcher: Can you describe any specific storytelling techniques, emotional appeals, or promises that traffickers use in their online communication?

NGO Representative: Their storytelling usually begins with a success story—someone escaping poverty or war and finding peace abroad. They highlight themes of family responsibility, dignity, and opportunity. Phrases like “Don’t miss your chance,” or “Your family is waiting for your success” are very common. It’s emotional manipulation rooted in real community struggles.

Cybersecurity Expert: They also create urgency, saying, “Limited slots available this month,” or “The route is closing soon.” This kind of psychological pressure makes migrants act quickly without verifying authenticity. Some use religious tones suggesting that migration is a ‘path of destiny’ or blessed opportunity.

Student Researcher: Have you noticed any use of Somali slang, coded language, or specific jargon that smugglers employ to communicate discreetly or avoid detection?

NGO Representative: Absolutely. They often use coded words like “tahriib” (migration journey) or phrases such as “going to the other side.” Instead of directly mentioning countries or borders, they use initials or emojis like the flag of a destination country or airplane icons.

Cybersecurity Expert: They also use private Telegram channels or WhatsApp groups with coded membership requirements. The language changes frequently once law enforcement identifies a phrase, the smugglers switch codes. Sometimes, they even embed messages in memes or songs to communicate instructions.

Student Researcher: How do traffickers and smugglers use visual content such as images, emojis, videos, or symbols to reinforce their messages or conceal their real intentions?

NGO Representative: Images are very persuasive. They show migrants smiling, posing in European cities, or wearing branded clothes. The visuals rarely depict the dangers or deaths involved. Emojis like airplanes, passports, and flags make the messages light-hearted and less suspicious.

Cybersecurity Expert: In cybersecurity monitoring, we’ve seen traffickers use layered content images that look harmless but have hidden links or QR codes redirecting users to private chats. They use edited videos with blurred logos or deepfake faces to avoid detection by AI content filters.

Student Researcher: In what ways do these online actors respond when their accounts or content are reported, flagged, or removed by social media platforms?

Cybersecurity Expert: They reappear quickly under new names or with slightly modified spellings. Many use virtual private networks (VPNs) and fake SIM cards to create multiple accounts. They also migrate to less-regulated platforms like Telegram, Signal, or closed Facebook groups where monitoring is weaker.

NGO Representative: It’s like a digital cat-and-mouse game. Once their pages are removed, they rely on word-of-mouth and encrypted channels to reconnect with their followers. Some even instruct migrants on how to find them again by using secret hashtags or keywords.

Student Researcher: Are there any noticeable differences in communication tone or style between recruitment messages targeting men, women, or youth?

NGO Representative: Yes, definitely. For men, the focus is on earning money, heroism, and being a provider. For women, the tone shifts to personal empowerment, domestic work opportunities, or marriage abroad. Youth-targeted messages are more casual—using memes, music, or influencers to normalize migration as adventure.

Cybersecurity Expert: I agree. Women are sometimes targeted through romantic manipulation, including fake online relationships promising love or marriage in Europe. The gendered content is one of the most disturbing trends because it blends exploitation with emotional deceit.

Student Researcher: Based on your observation or experience, how do these traffickers balance between being persuasive to migrants and remaining hidden from law enforcement and moderators?

NGO Representative: They balance by staying informal and community-based operating through trusted social networks, relatives, or clan connections. This makes their recruitment seem natural and hard to trace. They also avoid open advertising and rely more on private referrals.

Cybersecurity Expert: Technically, they employ encryption, time-limited links, and self-deleting messages. They also use AI-generated content to create fake identities that appear real. It’s a sophisticated operation that merges psychological persuasion with digital stealth.

Student Researcher: Thank you both for sharing these detailed insights. Your perspectives highlight the complex digital ecosystem that enables smuggling and trafficking activities among Somali migrants.

4.3 To assess the primary challenges and gaps faced by key stakeholders including law enforcement agencies, social media companies, and Somali civil society organizations in monitoring, investigating, and disrupting these digital illicit networks.

Respondents were presented with items and requested to either agree or disagree basing on a five Likert scale of; Strongly Agree(SA), Agree(A), Neutral (N), Disagree(D), Strongly Disagree(SD). SA+A= Agree, SD+D= Disagree, N=Undecided/neutral.  The study grouped SA and A to mean agreed, SD and D to mean disagree, and N to mean respondents who were undecided.  Percentages, mean and standard deviation were used to interpret empirical results.  The mean above 3 implied that majority agreed, and that below 3 means disagreed while 3 imply undecided/neutral.

The findings of the study under objective 4.3, which sought to assess the primary challenges and gaps faced by key stakeholders including law enforcement agencies, social media companies, and Somali civil society organizations in monitoring, investigating, and disrupting digital illicit networks, reveal several critical institutional and structural weaknesses that undermine effective response mechanisms.

The first major challenge identified is the limited coordination and information sharing among law enforcement agencies, social media companies, and civil society organizations. According to the results, 42% of respondents strongly agreed and 32% agreed that inadequate collaboration hinders effective disruption of online smuggling and trafficking networks. This finding underscores the fragmented nature of stakeholder engagement, where actors often operate in silos rather than through integrated, cross-sectoral frameworks. The lack of shared databases, joint task forces, and real-time communication channels contributes to delays in detection, duplication of efforts, and the escape of key traffickers who exploit bureaucratic inefficiencies. This aligns with previous studies that have emphasized the need for multi-stakeholder partnerships and transnational coordination to counter technology-driven criminal networks effectively.

Another significant challenge highlighted by respondents relates to the technical and investigative capacity of law enforcement agencies. Nearly 83% (48% strongly agree and 35% agree) of participants noted that law enforcement lacks adequate digital forensic tools and expertise to effectively monitor and investigate online trafficking activities. This points to a technological and skills deficit within policing institutions, where officers may not be well-versed in digital evidence collection, cyber analytics, or online surveillance techniques. Consequently, traffickers and smugglers exploit this gap by using encrypted communication, pseudonyms, and hidden online marketplaces to conduct their operations with minimal risk of detection. Strengthening digital forensics capacity, through investment in technology and specialized training, therefore emerges as a crucial need for effective intervention.

The study also found that social media companies fail to provide sufficient transparency and cooperation when handling reports of trafficking or smuggling content. A combined 75% of respondents (38% strongly agree and 37% agree) observed this as a major gap. This reflects the growing tension between corporate privacy obligations, user freedom of expression, and law enforcement’s demand for access to data on suspected criminal accounts. Social media platforms often prioritize their reputational and business interests, sometimes hesitating to share information with authorities due to legal or ethical concerns. This lack of proactive engagement and accountability creates loopholes that traffickers exploit to sustain recruitment, advertisement, and coordination activities across platforms.

Additionally, the study highlights that civil society organizations in Somalia face substantial resource and training limitations, which impede their ability to support victims and report online trafficking cases. The majority of respondents (55% strongly agree and 28% agree) emphasized this gap. Somali civil society remains one of the key actors in victim identification, awareness raising, and advocacy; however, chronic underfunding, political instability, and limited access to digital monitoring tools have constrained their operational capacity. As a result, community-based interventions are reactive rather than preventive, with many cases of online exploitation going unreported or inadequately addressed. Enhancing the technical competence and financial sustainability of civil society groups is therefore vital for building a resilient community-based defense against trafficking networks.

Finally, the study found that the absence of clear legal frameworks and jurisdictional coordination complicates efforts to prosecute individuals involved in digital trafficking networks. With 76% of respondents (31% strongly agree and 45% agree) affirming this, it is evident that the transnational and virtual nature of online trafficking poses significant legal challenges. Jurisdictional ambiguities, overlapping national laws, and the absence of specific cyber-trafficking legislation hinder timely prosecution and deterrence. For instance, while a suspect may operate in one country, the victim or platform may be located in another, making evidence gathering and extradition complex. Therefore, harmonized legal standards and international cooperation mechanisms are necessary to ensure accountability in cyberspace, the discussion reveals that effective monitoring, investigation, and disruption of digital smuggling and trafficking networks require integrated strategies that address institutional collaboration, technological capacity, legal reform, and community empowerment. Without closing these systemic gaps, Somali migrants will remain vulnerable to traffickers who continue to exploit social media’s anonymity and reach for illicit gain.

RS: From your experience, what are the major challenges that law enforcement agencies face in detecting and investigating online smuggling and trafficking activities involving Somali migrants?

NGO: One of the biggest challenges is the covert nature of these networks. Traffickers often use private messaging apps or closed groups on social media, making it very difficult for law enforcement to track activities. Additionally, the language barrier, including Somali slang and coded terms, further complicates detection.

CSE: Technically, the use of encryption, VPNs, and anonymizing tools makes attribution extremely challenging. Law enforcement may know suspicious activity is happening, but identifying the perpetrators or victims often requires sophisticated digital forensics that many agencies in the region lack.

RS: How effective are current monitoring tools and techniques used by social media companies or authorities in identifying trafficking-related content and accounts?

NGO: Monitoring tools have some success in flagging public content, but much of the recruitment happens in private, making automated detection less effective. Moreover, traffickers quickly adapt to algorithm changes, creating new profiles and groups almost immediately after detection.

CSE: From a cybersecurity perspective, these tools are reactive rather than proactive. AI-based monitoring can identify keywords or patterns, but the context often matters more than the words themselves, which automated systems struggle to interpret.

RS: What specific legal, technical, or jurisdictional barriers hinder collaboration between law enforcement, social media platforms, and civil society organizations?

NGO: Jurisdiction is a major issue. Many trafficking cases cross multiple countries, and there’s no unified legal framework to compel platforms to share data internationally. Additionally, civil society organizations often face legal limitations in accessing platform data or reporting suspicious accounts.

CSE: Technically, platforms are constrained by privacy laws like GDPR. Encryption and anonymity features are designed to protect users, but they also inadvertently protect criminals. The lack of standardized protocols for cross-border cooperation is a big hurdle.

RS: In your opinion, how do resource limitations (e.g., funding, technology, training) affect the capacity of Somali civil society organizations or police to combat online trafficking?

NGO: Significantly. Many NGOs operate with limited staff and outdated technology. Training in digital investigation is minimal, and financial resources are insufficient for sophisticated monitoring or victim outreach programs.

CSE: For police, the lack of advanced forensic tools and training in cyber investigations slows down responses. Without funding for capacity building, even motivated teams cannot keep up with the evolving digital tactics of traffickers.

RS: Are there established communication channels or information-sharing frameworks among the different stakeholders working to address digital trafficking networks? If yes, how effective are they?

NGO: Some regional and international networks exist, mainly through UN or IOM-led initiatives. They are useful for high-level coordination, but real-time information sharing is often inconsistent and slow.

CSE: From the cybersecurity side, the collaboration is mostly informal. Threat intelligence platforms exist, but few integrate local civil society inputs or real-time migration data, limiting their effectiveness in proactive interventions.

RS: What are the key policy or regulatory gaps that make it difficult to hold smugglers and traffickers accountable for their online activities?

NGO: Many countries still lack specific laws targeting online recruitment for trafficking. Existing human trafficking laws are primarily designed for physical movements, not digital facilitation. This gap allows traffickers to exploit legal gray areas.

CSE: There’s also a lack of regulatory requirements for social media platforms to retain or provide access to critical data for investigations. Without mandates, platforms prioritize user privacy and business interests over law enforcement needs.

RS: How do issues such as data privacy laws, platform encryption, or user anonymity complicate investigations into these illicit networks?

NGO: They significantly limit our ability to trace victims or recruiters. Even when we identify suspicious activity, gaining access to user data for protection or prosecution purposes is extremely challenging.

CSE: Encryption and anonymity are double-edged swords. While they protect legitimate users, traffickers exploit them to operate without leaving traceable evidence. Law enforcement often faces legal barriers even if they have technical solutions.

RS: What role do you think community awareness and digital literacy play in helping Somali migrants recognize and avoid online recruitment by traffickers?

NGO: Education is crucial. Many migrants are unaware of the tactics used online. Digital literacy programs can help them critically evaluate online offers and reduce their vulnerability.

CSE: Community awareness can also act as a force multiplier. If potential migrants know the red flags, they can report suspicious activity, making monitoring more effective even with limited technical resources.

RS: What recommendations would you make to improve coordination, technology use, or policy enforcement among stakeholders to better monitor and disrupt these digital trafficking operations?

NGO: We need a multi-pronged approach: stronger legal frameworks, funding for local NGOs, training programs, and community outreach. Partnerships between platforms, law enforcement, and civil society should be formalized with clear protocols.

CSE: Investing in better monitoring tools, AI-driven pattern recognition, and real-time intelligence sharing is critical. Additionally, cross-border legal agreements and clear mandates for data access can significantly enhance investigative capabilities.

4.4 To develop a set of actionable policy, technological, and community-based recommendations aimed at helping relevant stakeholders mitigate the misuse of digital platforms for smuggling and trafficking and enhance protection for potential victims.

Respondents were presented with items and requested to either agree or disagree basing on a five Likert scale of; Strongly Agree(SA), Agree(A), Neutral (N), Disagree(D), Strongly Disagree(SD). SA+A= Agree, SD+D= Disagree, N=Undecided/neutral.  The study grouped SA and A to mean agreed, SD and D to mean disagree, and N to mean respondents who were undecided.  Percentages, mean and standard deviation were used to interpret empirical results.  The mean above 3 implied that majority agreed, and that below 3 means disagreed while 3 imply undecided/neutral.

Table showing: Actionable policy, technological, and community-based recommendations aimed at helping relevant stakeholders mitigate the misuse of digital platforms for smuggling and trafficking and enhance protection for potential victims

The results revealed that 48% of respondents strongly agreed and 28% agreed that policies regulating online content and digital communication can significantly reduce the misuse of social media platforms for smuggling and human trafficking. This indicates that a majority (76%) of participants believe that a strong policy framework plays a critical role in controlling online criminal activity. The finding aligns with UNODC (2023), which emphasizes the importance of comprehensive cybercrime legislation and enforcement mechanisms to curb the exploitation of digital technologies by trafficking networks. Effective regulations, including mandatory identity verification and accountability measures for online service providers, can restrict anonymity that traffickers often exploit. However, a small proportion (13%) expressed disagreement, suggesting that policy enforcement alone may be insufficient without complementary technological and social interventions.

A significant number of respondents (37% strongly agreed and 30% agreed) supported the notion that implementing advanced technological monitoring systems such as AI-based content detection and data analytics can effectively identify and disrupt smuggling and trafficking networks online. This represents 67% overall agreement, confirming that technology can serve as a frontline defense mechanism against digital exploitation. The result supports findings by Bennett and Shapiro (2022), who observed that machine learning and automated surveillance tools have proven effective in detecting suspicious online activity patterns related to human trafficking. Nonetheless, 25% of respondents were undecided, indicating that while technology is promising, concerns persist regarding privacy violations, algorithmic bias, and the adaptability of traffickers to evade detection.

The statement regarding collaboration between government agencies, social media companies, and law enforcement received 35% strong agreement and 33% agreement, representing 68% consensus that coordinated efforts are essential to counter trafficking online. This reflects recognition that isolated institutional responses are inadequate to manage the complexity of digital trafficking networks. According to Interpol (2022), the integration of law enforcement intelligence with social media data analytics can significantly enhance the detection of online recruitment and exploitation schemes. However, the presence of some neutral (17%) and disagreeing responses (15%) indicates perceived challenges such as data sharing restrictions, bureaucratic barriers, and trust deficits among institutions.

Regarding the role of community awareness and digital literacy, 28% of respondents strongly agreed and 30% agreed, totaling 58% in favor of public education as a preventive strategy. The result underscores that empowering communities with knowledge about online risks and reporting mechanisms can reduce vulnerability to trafficking schemes. This supports Aldridge and Askew (2021), who noted that awareness campaigns targeting high-risk populations reduce susceptibility to fraudulent recruitment messages circulated via social media. However, 27% of respondents disagreed, suggesting that awareness alone may not deter traffickers without socio-economic empowerment and stronger law enforcement actions. Lastly, 30% strongly agreed and 25% agreed that developing a coordinated framework that integrates policy, technology, and community-based interventions would enhance the overall effectiveness of anti-trafficking measures. This 55% agreement highlights the importance of holistic approaches over fragmented efforts. The finding resonates with the Global Action against Trafficking in Persons (GLO.ACT, 2023) model, which advocates for cross-sectoral cooperation, combining digital surveillance, legal reforms, and grassroots community engagement. Yet, the 19% neutral and 25% disagreeing responses suggest that some stakeholders remain skeptical about the practicality and resource demands of implementing such comprehensive frameworks in developing contexts.

RS: Thank you both for taking the time to speak with me today. To start, what existing national or regional policies do you believe are most effective or least effective in addressing the misuse of digital platforms for smuggling and human trafficking?

NGO: From a civil society perspective, policies that criminalize human trafficking and impose strict penalties are somewhat effective, especially when combined with awareness campaigns. However, many regional policies lack enforcement mechanisms, and there’s often poor coordination across borders.

CSE: I agree. Technically, laws that require social media platforms to report suspicious activities are useful. But they are rarely enforced consistently, especially in regions with limited cyber law capacity. The lack of harmonization between countries creates loopholes that traffickers exploit.

RS: From your experience, what key policy gaps or enforcement challenges hinder efforts to prevent traffickers and smugglers from exploiting online platforms?

NGO: One major gap is the absence of specialized frameworks that address digital smuggling directly. Many anti-trafficking laws were drafted before the rise of social media, so they don’t fully capture online recruitment and facilitation tactics.

CSE: Enforcement challenges include limited technical expertise among law enforcement officers and insufficient resources for monitoring online spaces. Additionally, platform moderation policies are often reactive rather than proactive.

RS: What types of technological tools or innovations could help detect and disrupt online trafficking or smuggling activities?

CSE: Artificial Intelligence (AI) systems can flag suspicious patterns, such as repeated contact with minors or keywords related to migration services. Advanced data analytics and automated content moderation systems can also help detect coordinated trafficking campaigns across multiple platforms.

NGO: From an NGO perspective, these tools are helpful, but they must be paired with community reporting mechanisms. Technology alone cannot identify at-risk individuals without human intervention.

RS: How can collaboration between law enforcement, social media companies, and civil society organizations be improved to enhance detection, reporting, and response?

NGO: Regular multi-stakeholder workshops and data-sharing agreements would help. Civil society organizations often have closer community connections, which can complement law enforcement intelligence.

CSE: Platforms need to be more transparent with their reporting. Collaborative dashboards, real-time alerts, and joint task forces could make detection and intervention faster and more efficient.

RS: What online or community-based strategies could be most effective in identifying and protecting potential or at-risk victims of digital trafficking schemes?

NGO: Community-based awareness campaigns, hotlines, and partnerships with local NGOs are essential. Equipping families and community leaders with knowledge about online recruitment tactics can prevent exploitation before it happens.

CSE: Online strategies could include monitoring public groups or forums for suspicious activity, using AI to flag grooming behaviors, and providing digital literacy programs to at-risk communities.

RS: How can local communities, religious leaders, or diaspora networks be engaged in raising awareness and countering misinformation used by traffickers online?

NGO: Religious leaders and diaspora networks are trusted voices. Engaging them in campaigns about safe migration practices and identifying fraudulent online offers can amplify outreach and credibility.

CSE: From a tech perspective, partnering with diaspora networks to report suspicious online content can create a wider monitoring network, especially when combined with anonymous reporting channels.

RS: What kind of training or capacity-building initiatives would most benefit stakeholders in identifying and mitigating digital trafficking activities?

NGO: Training should focus on understanding online recruitment tactics, identifying at-risk individuals, and integrating digital monitoring with community support services.

CSE: Technical training for law enforcement and platform moderators is crucial. This should include cybersecurity basics, data analytics for threat detection, and understanding AI-based monitoring tools.

RS: In your opinion, what level of responsibility should social media companies bear in preventing the misuse of their platforms for human trafficking and smuggling activities?

NGO: Social media companies have a significant responsibility. They should implement strong reporting mechanisms, proactively remove exploitative content, and collaborate closely with law enforcement and NGOs.

CSE: I concur. Platforms are not just passive channels; they actively shape user interactions. They must invest in detection technologies and transparency reporting to mitigate misuse effectively.

RS: Finally, what specific policy, technological, or community-based recommendations would you prioritize to create a sustainable, multi-stakeholder approach?

NGO: I would prioritize strengthening community awareness programs, supporting NGOs in digital literacy campaigns, and improving cross-border law enforcement coordination.

CSE: On the tech side, I recommend developing AI-driven monitoring systems, establishing rapid-response reporting frameworks, and fostering international collaborations between tech companies and governments to ensure consistent enforcement.