Algorithmic Filtering and Social Polarization

Azizova , Shodiya

Мактабгача ва мактаб таълими · 2025-yil

Annotatsiya

This article examines the impact of algorithmic filtering on social media platforms and its influence on users’perspectives and collective thinking. Algorithmic systems, which curate content based on user preferences, browsinghistory, and online behavior, often create “echo chambers” – environments where individuals are primarily exposed toinformation that aligns with their existing beliefs. As a result, users may become increasingly insulated from alternativeviewpoints, reinforcing preexisting opinions and contributing to social polarization. The study highlights the significantimplications of algorithmic filtering for both individual cognition and group dynamics. By shaping the information usersencounter, algorithms can influence political, social, and cultural attitudes while also affecting critical thinking, empathy,and engagement with diverse perspectives. The findings further suggest that understanding the relationship betweenalgorithmic recommendations and social integration is essential for developing strategies to foster a more balanced,inclusive, and critically engaged online environment.

Maqola ma’lumotlari
MualliflarAzizova , Shodiya
JurnalМактабгача ва мактаб таълими
Nashr sanasi2025-10-03
Jild3
Son10
TilO‘zbek
DOI10.5281/zenodo.17492988

Kalit so‘zlar

algorithmic filtering, echo chambers, social polarization, social media, collective thinking, information exposure, online behavior

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