2026· International Journal of Scientific Research and Management· 1 citation· 7 references
Abstract
This study investigates the relationship between algorithm-driven social media content and the growing phenomenon of political polarization. With social media platforms increasingly relying on personalized algorithms to curate user feeds, concerns have emerged about the creation of ideological echo chambers and the reinforcement of partisan attitudes. This research adopts a mixed-methods approach, combining survey data and semi-structured interviews to examine users’ awareness of algorithmic filtering, exposure to opposing viewpoints, and perceptions of political division. Findings suggest that while users are moderately aware of how algorithms influence their content exposure, most perceive that their feeds largely reflect their existing beliefs. Moreover, the study identifies a significant association between algorithmic curation and heightened feelings of political division, particularly among frequent consumers of political content. The results contribute to ongoing debates about the societal implications of algorithmic personalization and offer recommendations for enhancing digital media literacy and platform transparency to mitigate polarization effects.
Social media platforms have become central to political communication, influencing how political information is produced, disseminated, and consumed. Beyond facilitating public engagement, these platforms rely on algorithmic recommendation systems that shape the visibility of political content and influence whose voice...
Divya Bhadoriya, Varsha Sagorkar· International Journal of Edu...· 0 citations
This study aims to examine the social media practices, platform preferences, and news trust behaviors of Generation Z through a qualitative and context-driven analytical framework. Using semi-structured interviews with young participants from diverse socio-demographic backgrounds, the research employs thematic analysis...
E. Kiraz· İletişim ve Toplum Araştırma...· 0 citations
This study explores how social media algorithms influence the growth of religious beliefs and
community involvement in today's digital landscape. As platforms like Facebook, YouTube,
Instagram, and TikTok increasingly suggest religious content through their algorithms, the way
people make meaning of their faith is s...
Ephraim Ogugbuaja· Journal of Humanities and So...· 4 citations
This paper introduces the concept of affective polarization – the tendency for an individual to distrust someone not because of their specific opinion, but because of their political party – into an opinion dynamics model and shows that incorporating affective polarization into the opinion dynamics model affects the le...
Affective polarization is defined by intense negative emotions between partisan groups and has seen a rapid increase worldwide, posing risks to democratic institutions and crisis management. This study examines the mediating role of political sensitivity in the relationship between social media use and affective polari...
N. Namrata, L. Moolathingal· Psikoloji Çalışmaları / Stud...· 0 citations
This article contends that when the privacy function of social media is used for politically relevant audience curation, users may take more partisan stances than they would otherwise, which therefore amplifies the observed political polarization. The privacy function allows users to selectively disclose their conten...
