| Abstract: |
Social media algorithms have become central to contemporary
communication by shaping how information is curated, prioritised,
and made visible on digital platforms. Through algorithmic filtering
and personalisation, these systems influence users' exposure to
content, patterns of interaction, and the formation of public
discourse. This study examines the implications of algorithmic
curation for information visibility, audience engagement, and
meaning construction in Nigeria. Adopting a qualitative conceptual
research design, the study is based on a systematic review and
critical analysis of relevant Nigerian and international scholarly
literature. Anchored in Agenda-Setting Theory, gatekeeping theory
and Algorithmic Governance Theory, the study argues that while
social media algorithms enhance personalized communication,
participation, and connectivity, they also reinforce selective
exposure, facilitate the spread of misinformation, and contribute to
polarisation. By functioning as automated gatekeepers, algorithms
determine which issues and voices gain prominence, thereby
reshaping agenda-setting processes and influencing the quality and
diversity of public discourse. The paper concludes by highlighting
implications for communication practice, scholarship, and digital
governance. It recommends enhanced media literacy, greater
algorithmic transparency, and platform designs that promote
exposure to diverse perspectives and balanced public discourse. The
study also underscores the importance of strengthening ethical and
civic online communication to address misinformation and
polarization in Nigeria. The study contributes a Nigeria-focused
perspective to understanding how algorithmic curation shapes
information visibility and public communication in digital
environments. |
