INFLUENCE OF SOCIAL MEDIA ALGORITHMS IN SHAPING NEWS EXPOSURE AMONG UNDERGRADUATE STUDENTS IN UNIVERSITY OF BENIN
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This study examined the influence of social media algorithms in shaping news exposure among undergraduate students in the University of Benin. The objectives were to determine how students use social media for news consumption, their awareness of algorithmic filtering, and its effect on perceptions of news credibility. Guided by the Uses and Gratification Theory and Media Dependency Theory, the study adopted a survey design. A stratified random sampling technique was used to select 400 undergraduate students, and structured questionnaires served as the main instrument for data collection.Findings revealed that most undergraduate students in the University of Benin rely on social
media as their primary source of news, with Instagram, Twitter, and WhatsApp ranking highest. However, while many recognized the role of algorithms in shaping their news exposure, less than half verified stories before sharing, exposing gaps in media literacy. The study also found that algorithms not only determine the kind of news students encounter but also influence their perception of its credibility, with Instagram and Twitter considered more trustworthy due to their visual appeal and real-time updates.The study concludes that social media algorithms significantly shape news consumption and trust. It recommends strengthening media literacy and promoting fact-checking practices among students.
media as their primary source of news, with Instagram, Twitter, and WhatsApp ranking highest. However, while many recognized the role of algorithms in shaping their news exposure, less than half verified stories before sharing, exposing gaps in media literacy. The study also found that algorithms not only determine the kind of news students encounter but also influence their perception of its credibility, with Instagram and Twitter considered more trustworthy due to their visual appeal and real-time updates.The study concludes that social media algorithms significantly shape news consumption and trust. It recommends strengthening media literacy and promoting fact-checking practices among students.
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