Exploring nexus of social media algorithms, content creators, and gender bias: a systematic literature review
Abstract: Drawing on the PRISMA framework, this study systematically investigates the dynamics between social media algorithms, content creators, and gender bias. An analysis of 18 quantitative and mixed-method studies from the Web of Science and Scopus databases, spanning 2019 to 2023, uncovers thr...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Asian Scholars Network
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/117211/ http://psasir.upm.edu.my/id/eprint/117211/1/117211.pdf |
| _version_ | 1848867190052225024 |
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| author | Lou, Shijun Adzharuddin, Nor Azura Syed Zainudin, Sharifah Sofiah Omar, Siti Zobidah |
| author_facet | Lou, Shijun Adzharuddin, Nor Azura Syed Zainudin, Sharifah Sofiah Omar, Siti Zobidah |
| author_sort | Lou, Shijun |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Abstract: Drawing on the PRISMA framework, this study systematically investigates the dynamics between social media algorithms, content creators, and gender bias. An analysis of 18 quantitative and mixed-method studies from the Web of Science and Scopus databases, spanning 2019 to 2023, uncovers three main research trajectories: algorithms' influence on gender bias, their role in shaping content, and the interactions between algorithms, gender bias, and content creators. The review synthesizes diverse theoretical approaches and models, offering comprehensive insights into the complex nexus of algorithms, gender bias, and content creators. The application of varied research methodologies, including experiments, surveys, and content analyses, facilitates a thorough examination of algorithmic impacts. The chosen studies, focusing on different social media platforms and algorithmic features, reflect the varied interests of researchers. The findings reveal that algorithms perpetuate gender stereotypes by processing and learning content imbued with gender biases and further marginalizing gender minorities, reinforcing binary gender norms. The algorithmic curation of popular content also introduces inequities among content creators. Highlighting the need for equitable and inclusive digital environments, this review advocates for ethical content creation and algorithmic practices to mitigate gender bias and foster equality on social media platforms. |
| first_indexed | 2025-11-15T14:32:33Z |
| format | Article |
| id | upm-117211 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T14:32:33Z |
| publishDate | 2024 |
| publisher | Asian Scholars Network |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1172112025-05-02T03:13:01Z http://psasir.upm.edu.my/id/eprint/117211/ Exploring nexus of social media algorithms, content creators, and gender bias: a systematic literature review Lou, Shijun Adzharuddin, Nor Azura Syed Zainudin, Sharifah Sofiah Omar, Siti Zobidah Abstract: Drawing on the PRISMA framework, this study systematically investigates the dynamics between social media algorithms, content creators, and gender bias. An analysis of 18 quantitative and mixed-method studies from the Web of Science and Scopus databases, spanning 2019 to 2023, uncovers three main research trajectories: algorithms' influence on gender bias, their role in shaping content, and the interactions between algorithms, gender bias, and content creators. The review synthesizes diverse theoretical approaches and models, offering comprehensive insights into the complex nexus of algorithms, gender bias, and content creators. The application of varied research methodologies, including experiments, surveys, and content analyses, facilitates a thorough examination of algorithmic impacts. The chosen studies, focusing on different social media platforms and algorithmic features, reflect the varied interests of researchers. The findings reveal that algorithms perpetuate gender stereotypes by processing and learning content imbued with gender biases and further marginalizing gender minorities, reinforcing binary gender norms. The algorithmic curation of popular content also introduces inequities among content creators. Highlighting the need for equitable and inclusive digital environments, this review advocates for ethical content creation and algorithmic practices to mitigate gender bias and foster equality on social media platforms. Asian Scholars Network 2024-03-31 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/117211/1/117211.pdf Lou, Shijun and Adzharuddin, Nor Azura and Syed Zainudin, Sharifah Sofiah and Omar, Siti Zobidah (2024) Exploring nexus of social media algorithms, content creators, and gender bias: a systematic literature review. Asian Journal of Research in Education and Social Sciences, 6 (1). pp. 426-431. ISSN 2682-8502 https://myjms.mohe.gov.my/index.php/ajress/article/view/25798 10.55057/ajress.2024.6.1.39 |
| spellingShingle | Lou, Shijun Adzharuddin, Nor Azura Syed Zainudin, Sharifah Sofiah Omar, Siti Zobidah Exploring nexus of social media algorithms, content creators, and gender bias: a systematic literature review |
| title | Exploring nexus of social media algorithms, content creators, and gender bias: a systematic literature review |
| title_full | Exploring nexus of social media algorithms, content creators, and gender bias: a systematic literature review |
| title_fullStr | Exploring nexus of social media algorithms, content creators, and gender bias: a systematic literature review |
| title_full_unstemmed | Exploring nexus of social media algorithms, content creators, and gender bias: a systematic literature review |
| title_short | Exploring nexus of social media algorithms, content creators, and gender bias: a systematic literature review |
| title_sort | exploring nexus of social media algorithms, content creators, and gender bias: a systematic literature review |
| url | http://psasir.upm.edu.my/id/eprint/117211/ http://psasir.upm.edu.my/id/eprint/117211/ http://psasir.upm.edu.my/id/eprint/117211/ http://psasir.upm.edu.my/id/eprint/117211/1/117211.pdf |