[2409.11665] Community Shaping in the Digital Age: A Temporal Fusion Framework for Analyzing Discourse Fragmentation in Online Social Networks
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Computer Science > Social and Information Networks

arXiv:2409.11665 (cs)
[Submitted on 18 Sep 2024]

Title:Community Shaping in the Digital Age: A Temporal Fusion Framework for Analyzing Discourse Fragmentation in Online Social Networks

Authors:Amirhossein Dezhboro, Jose Emmanuel Ramirez-Marquez, Aleksandra Krstikj
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Abstract:This research presents a framework for analyzing the dynamics of online communities in social media platforms, utilizing a temporal fusion of text and network data. By combining text classification and dynamic social network analysis, we uncover mechanisms driving community formation and evolution, revealing the influence of real-world events. We introduced fourteen key elements based on social science theories to evaluate social media dynamics, validating our framework through a case study of Twitter data during major U.S. events in 2020. Our analysis centers on discrimination discourse, identifying sexism, racism, xenophobia, ableism, homophobia, and religious intolerance as main fragments. Results demonstrate rapid community emergence and dissolution cycles representative of discourse fragments. We reveal how real-world circumstances impact discourse dominance and how social media contributes to echo chamber formation and societal polarization. Our comprehensive approach provides insights into discourse fragmentation, opinion dynamics, and structural aspects of online communities, offering a methodology for understanding the complex interplay between online interactions and societal trends.
Subjects: Social and Information Networks (cs.SI); Computers and Society (cs.CY)
Cite as: arXiv:2409.11665 [cs.SI]
  (or arXiv:2409.11665v1 [cs.SI] for this version)
  https://doi.org/10.48550/arXiv.2409.11665

Submission history

From: Amirhossein Dezhboro [view email]
[v1] Wed, 18 Sep 2024 03:03:02 UTC (19,236 KB)
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