Abstract
The impact of social media on information exchange is profound, providing valuable access to public information, but it can also intensify negative effects like cognitive bias, opinion extremism, and misinformation through the creation of echo chambers. These echo chambers, characterized by repeated information within closed systems, result from preferential exposure, homophily, and social impact. In this study, we present EchoSense, a framework that can conduct a comprehensive analysis of echo chambers on specific topics using both content and social network analysis and develop effective strategies to address the impact of echo chambers on public discourse and democratic processes. The objective of our developed framework is to serve as a comprehensive guide for detecting echo chambers, with a particular focus on the issue of racial discrimination and worker conditions in the Qatar World cup of 2022, For this purpose, over one million tweets were collected and stored, spanning from January 2022 to the beginning of the World Cup in Qatar. Through this comprehensive analysis, we aspire to contribute to a better understanding of echo chambers while addressing polarization concerns within online communities.
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Data availibility
The data sets generated and/or analyzed in this study are available from the corresponding author on reasonable request.
Code availability
All code for the echo chambers detection associated with the current submission is available at https://drive.google.com/drive/u/1/folders/1b_uJzg7_aUDBiFAew7zfYztQGPbT9nzs Any updates will also be published on Google Collab file, and the final DOI cited in the manuscript.
Notes
Examining a specific range of values becomes crucial in the context of illustrating the topology of the conversation graph. In this study, the weights assigned to edges take on integer values, representing the count of mentions within users’ tweets. This aligns with the upcoming discussion on the community detection algorithm, as detailed in the subsequent section.
QT / MT / RL: Quotes , Mentions and Replies
https://www.djangoproject.com/.. Django is a high-level Python web framework that is renowned for simplicity, robustness, and scalability. It offers a wide range of features and tools that can significantly streamline the development process.
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Both DCK and KG contributed to the writing, review, editing and validation. EA provided supervision and validation for the project. DCK contributed in data curation, data analysis, visualization and software development. KG was responsible for project administration and conceptualization. All authors reviewed and commented on further versions of the article. All authors read and approved the final article
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Kavargyris, D.C., Georgiou, K. & Angelis, L. EchoSense: a framework for analyzing the echo chambers phenomenon: a case study on Qatar events. Soc. Netw. Anal. Min. 14, 113 (2024). https://doi.org/10.1007/s13278-024-01275-0
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DOI: https://doi.org/10.1007/s13278-024-01275-0