Promises and Limits of Using Targeted Social Media Advertising to Sample Global Migrant Populations: Nigerians at Home and Abroad
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| Title: | Promises and Limits of Using Targeted Social Media Advertising to Sample Global Migrant Populations: Nigerians at Home and Abroad |
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| Language: | English |
| Authors: | Thomas Soehl (ORCID |
| Source: | Sociological Methods & Research. 2026 55(1):268-298. |
| Availability: | SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com |
| Peer Reviewed: | Y |
| Page Count: | 31 |
| Publication Date: | 2026 |
| Document Type: | Journal Articles Reports - Research |
| Descriptors: | Foreign Countries, Social Media, Advertising, Demography, Marketing, Research Problems, Social Bias, Online Surveys, Recruitment, Age, Sex, Educational Background, Migrants, Sampling, Response Rates (Questionnaires) |
| Geographic Terms: | Canada, Italy, Nigeria |
| DOI: | 10.1177/00491241241266634 |
| ISSN: | 0049-1241 1552-8294 |
| Abstract: | Survey research on migrants is notoriously challenging, especially if the goal is to collect data across a range of countries. Social networking sites' ability to micro-target advertisements to migrant communities combined with their near-global reach makes them an attractive option. Yet there is little rigorous evaluation of the quality of data thus collected--especially for populations from developing countries. We compare samples of Nigerian emigrants in Canada and Italy and Nigerians (at home) in Nigeria recruited through targeted advertising on Facebook and Instagram to population estimates. We find our samples contain varying degrees of bias in the case of age and gender and systematically miss those with little formal education. How much this affects our samples' representativeness varies across contexts: discrepancies are much smaller for emigrant populations in Canada than in Italy and much larger in Nigeria, where a large share of the population has little formal education and limited literacy. Post-stratifying each sample on age, gender, and education does not ameliorate bias on other variables such as ethnicity, religion, period of migration, or political attitudes. We discuss the potential and limitations of social-media-driven sampling and highlight key considerations for implementing it to collect multi-sited data on migrants. |
| Abstractor: | As Provided |
| Entry Date: | 2026 |
| Accession Number: | EJ1496221 |
| Database: | ERIC |
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| Abstract: | Survey research on migrants is notoriously challenging, especially if the goal is to collect data across a range of countries. Social networking sites' ability to micro-target advertisements to migrant communities combined with their near-global reach makes them an attractive option. Yet there is little rigorous evaluation of the quality of data thus collected--especially for populations from developing countries. We compare samples of Nigerian emigrants in Canada and Italy and Nigerians (at home) in Nigeria recruited through targeted advertising on Facebook and Instagram to population estimates. We find our samples contain varying degrees of bias in the case of age and gender and systematically miss those with little formal education. How much this affects our samples' representativeness varies across contexts: discrepancies are much smaller for emigrant populations in Canada than in Italy and much larger in Nigeria, where a large share of the population has little formal education and limited literacy. Post-stratifying each sample on age, gender, and education does not ameliorate bias on other variables such as ethnicity, religion, period of migration, or political attitudes. We discuss the potential and limitations of social-media-driven sampling and highlight key considerations for implementing it to collect multi-sited data on migrants. |
|---|---|
| ISSN: | 0049-1241 1552-8294 |
| DOI: | 10.1177/00491241241266634 |
