This paper is in the following e-collection/theme issue:

JMIR Theme Issue: COVID-19 Special Issue (2388) Infodemiology and Infoveillance (1271) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1010) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1482) Outbreak and Pandemic Preparedness and Management (1673)

Published on in Vol 23, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27009, first published .
Echo Chamber Effect in Rumor Rebuttal Discussions About COVID-19 in China: Social Media Content and Network Analysis Study

Echo Chamber Effect in Rumor Rebuttal Discussions About COVID-19 in China: Social Media Content and Network Analysis Study

Echo Chamber Effect in Rumor Rebuttal Discussions About COVID-19 in China: Social Media Content and Network Analysis Study

Authors of this article:

Dandan Wang1, 2, 3 Author Orcid Image ;   Yuxing Qian1, 2, 3 Author Orcid Image
Article Authors Cited by (16) Tweetations (2) Metrics

Journals

  1. Chao F, Wang X, Yu G. The Influence of the Debunker’s Identity and Emotional Expression on the Sharing Behavior of Debunking Information. Frontiers in Psychology 2021;12 View
  2. Wang X, Chao F, Ma N, Yu G. Exploring the Effect of Spreading Fake News Debunking Based on Social Relationship Networks. Frontiers in Physics 2022;10 View
  3. Ceh S, Lebuda I. A Black Mirror of Bright Ideas: Could Media Educate towards Positive Creativity?. Education Sciences 2022;12(6):402 View
  4. Sun M, Ma X, Huo Y. Does Social Media Users’ Interaction Influence the Formation of Echo Chambers? Social Network Analysis Based on Vaccine Video Comments on YouTube. International Journal of Environmental Research and Public Health 2022;19(23):15869 View
  5. Lorenz-Spreen P, Oswald L, Lewandowsky S, Hertwig R. A systematic review of worldwide causal and correlational evidence on digital media and democracy. Nature Human Behaviour 2022;7(1):74 View
  6. Wang X, Chao F, Yu G, Zhang K. Factors influencing fake news rebuttal acceptance during the COVID-19 pandemic and the moderating effect of cognitive ability. Computers in Human Behavior 2022;130:107174 View
  7. Wang D, Zhou Y, Ma F. Opinion Leaders and Structural Hole Spanners Influencing Echo Chambers in Discussions About COVID-19 Vaccines on Social Media in China: Network Analysis. Journal of Medical Internet Research 2022;24(11):e40701 View
  8. Gupta V, Dass P, Arora R. Pendulating or resonating? A case of echo-chambers in twitter. Journal of Discrete Mathematical Sciences and Cryptography 2022;25(1):231 View
  9. Xu J, Guo D, Xu J, Luo C. How Do Multiple Actors Conduct Science Communication About Omicron on Weibo: A Mixed-Method Study. Media and Communication 2023;11(1):306 View
  10. Wang M, Liang D, Li D. A Two-Stage Method for Improving the Decision Quality of Consensus-Driven Three-Way Group Decision-Making. IEEE Transactions on Systems, Man, and Cybernetics: Systems 2023;53(5):2770 View
  11. Liu J, Liu X, Lai K, Zhang X, Ma X. Exploring rumor behavior during the COVID-19 pandemic through an information processing perspective: The moderating role of critical thinking. Computers in Human Behavior 2023;147:107842 View
  12. Ruggeri K, Vanderslott S, Yamada Y, Argyris Y, Većkalov B, Boggio P, Fallah M, Stock F, Hertwig R. Behavioural interventions to reduce vaccine hesitancy driven by misinformation on social media. BMJ 2024:e076542 View
  13. Xing Y, Zhang J, Storey V, Koohang A. Diving into the divide: a systematic review of cognitive bias-based polarization on social media. Journal of Enterprise Information Management 2024 View
  14. Chao F, Zhou Q, Zhao J, Xu Y, Yu G. Trustworthiness matters: Effect of source credibility on sharing debunking information across different rumour types. Information Processing & Management 2024;61(4):103747 View

Books/Policy Documents

  1. Bakir V, McStay A. Optimising Emotions, Incubating Falsehoods. View