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Echo Chamber and Polarization in Social Media
Details
This book addresses increasingly relevant social problems enabled by social media through the lens of system science research and modeling. Instead of evaluating existing patterns from existing social media data, the book focuses on exploring the possibility of various policies. Specifically, it provides fresh insight into the political echo chamber and polarization in social media using agent-based modeling and scenario analysis.
The book contains a practical framework to study the factors influencing echo chambers and polarization formation occurring in social media communication. By modeling individual social media users' information consumption, the influence of various behaviors and policies are captured as macro-phenomena. The book also introduces a comprehensive agent-based reinterpretation of the Zaller model, a classic in public opinion research. In addition, the book demonstrates two real-life applications of the model using empirical observations: resolving theconflicting observations of the online echo chamber effect, and modeling the influence of vaccine-related Facebook pages on users' opinions about vaccination.
Provides thorough coverage of the online echo chamber and polarization from the point of view of agent-based modeling Presents an agent-based interpretation of a classic political opinion formation model Contains two applications for relevant problems in including anti-vaccination opinion in social media
Autorentext
Muhammad Al Atiqi is a computational social scientist who studied at the Tokyo Institute of Technology. His interest lies in the intersection of technology and society, particularly the influence of internet-related phenomena to human behavior. During his graduate study, he researched on the formation of echo chamber and political polarization in social media and identifying important factors to determine policies to minimize their negative influences. Prior to his research career, he taught university-level physics at Nanyang Technological University in Singapore. Aside from his main work, he is also involved in community organizing projects such as various Indonesian communities overseas and an environmental project to provide clean water in rural Bali.
Inhalt
- Introduction.- 2. Conceptual Backgrounds.- 3. Agent-based modeling for social simulation methods.- 4. Simulating echo chamber and polarizations problems in social media.- 5. Agent-based interpretation of the Zaller Model.- 6. Application 1: Resolving the conflicting observation of echo chambers in social media.- 7. Application 2: Evaluating the influence of Facebook pages to individual user's vaccination opinion.- 8. Conclusion. <p
Weitere Informationen
- Allgemeine Informationen
- GTIN 09789819917723
- Lesemotiv Verstehen
- Genre Business, Finance & Law
- Auflage 2023
- Sprache Englisch
- Anzahl Seiten 112
- Herausgeber Springer Nature Singapore
- Gewicht 184g
- Größe H235mm x B155mm x T7mm
- Jahr 2024
- EAN 9789819917723
- Format Kartonierter Einband
- ISBN 9819917727
- Veröffentlichung 31.05.2024
- Titel Echo Chamber and Polarization in Social Media
- Autor Muhammad Al Atiqi
- Untertitel An Agent-Based Modeling Approach