Social network dynamics, bots, and community-based online misinformation spread: Lessons from anti-refugee and COVID-19 misinformation cases-Reference-Cited by-同舟云学术

Social network dynamics, bots, and community-based online misinformation spread: Lessons from anti-refugee and COVID-19 misinformation cases

Published:2022-11-08 Issue:1 Volume:39 Page:17-34
ISSN:0197-2243
Container-title:The Information Society
language:en
Short-container-title:The Information Society

Author:

Zhen Lichen¹^ORCID,Yan Bei²^ORCID,Tang Jack Lipei¹^ORCID,Nan Yuanfeixue¹^ORCID,Yang Aimei¹^ORCID

Affiliation:

1. Annenberg School for Communication and Journalism, University of Southern California, Los Angeles, California, USA

2. School of Business, Stevens Institute of Technology, Hoboken, New Jersey, USA

Funder

Annenberg School for Communication and Journalism, University of Southern California

Publisher

Informa UK Limited

Subject

Political Science and International Relations,Information Systems,Cultural Studies,Management Information Systems

Link

https://www.tandfonline.com/doi/pdf/10.1080/01972243.2022.2139031

Reference72 articles.

1. The disinformation order: Disruptive communication and the decline of democratic institutions

2. Beskow, D. M., and K. M. Carley. 2018. Bot-hunter: A tiered approach to detecting & characterizing automated activity on Twitter. Accessed October 16, 2022. http://www.casos.cs.cmu.edu/publications/papers/LB_5.pdf.

3. Reciprocity, transitivity, and the mysterious three-cycle

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