From Public Square to Echo Chamber: The Fragmentation of Online Discourse

TL;DR

This paper investigates how social media algorithms and filter bubbles contribute to discourse fragmentation, increasing polarization and discrimination, by combining philosophical insights with computational analysis of online interactions.

Contribution

It introduces a novel interdisciplinary approach integrating philosophy and computational social science to analyze discourse fragmentation on social media.

Findings

Social media algorithms amplify ideological divides.

Filter bubbles restrict cross-group dialogue.

Discourse fragmentation undermines societal cohesion.

Abstract

This paper examines how social media algorithms and filter bubbles contribute to the fragmentation of online discourse, fostering ideological divides and undermining shared understanding. Drawing on Michael Sandels philosophical emphasis on community and shared values, the study explores how digital platforms amplify discrimination discourse including sexism, racism, xenophobia, ableism, homophobia, and religious intolerance during periods of heightened societal tension. By analyzing the dynamics of digital communities, the research highlights mechanisms driving the emergence and evolution of discourse fragments in response to real world events. The findings reveal how social media structures exacerbate polarization, restrict cross group dialogue, and erode the collective reasoning essential for a just society. This study situates philosophical perspectives within a computational analysis of social media interactions, offering a nuanced understanding of the challenges posed by fragmented discourse in the digital age.