Cargando…

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

BACKGROUND: The dissemination of rumor rebuttal content on social media is vital for rumor control and disease containment during public health crises. Previous research on the effectiveness of rumor rebuttal, to a certain extent, ignored or simplified the structure of dissemination networks and use...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wang, Dandan, Qian, Yuxing
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	JMIR Publications 2021
Materias:	Original Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7996199/ https://www.ncbi.nlm.nih.gov/pubmed/33690145 http://dx.doi.org/10.2196/27009

Ejemplares similares

The echo chamber effect of rumor rebuttal behavior of users in the early stage of COVID-19 epidemic in China
por: Wang, Dandan, et al.
Publicado: (2022)

Rumor Propagation is Amplified by Echo Chambers in Social Media
por: Choi, Daejin, et al.
Publicado: (2020)

Opinion Leaders and Structural Hole Spanners Influencing Echo Chambers in Discussions About COVID-19 Vaccines on Social Media in China: Network Analysis
por: Wang, Dandan, et al.
Publicado: (2022)

The echo chamber effect on social media
por: Cinelli, Matteo, et al.
Publicado: (2021)

The “Parallel Pandemic” in the Context of China: The Spread of Rumors and Rumor-Corrections During COVID-19 in Chinese Social Media
por: Song, Yunya, et al.
Publicado: (2021)

Multi-modal affine fusion network for social media rumor detection
por: Fu, Boyang, et al.
Publicado: (2022)

Rumor detection in social network based on user, content and lexical features
por: Shelke, Sushila, et al.
Publicado: (2022)

Impact of Rumors and Misinformation on COVID-19 in Social Media
por: Tasnim, Samia, et al.
Publicado: (2020)

A Study on the Effectiveness of Rumor Control via Social Media Networks to Alleviate Public Panic About COVID-19
por: Lu, Ben, et al.
Publicado: (2022)

Dynamic graph convolutional networks with attention mechanism for rumor detection on social media
por: Choi, Jiho, et al.
Publicado: (2021)

Fighting rumors to fight COVID-19: Investigating rumor belief and sharing on social media during the pandemic
por: Guo, Feng, et al.
Publicado: (2023)

Dynamic analysis of rumor propagation model with media report and time delay on social networks
por: Guo, Haoming, et al.
Publicado: (2023)

KAGN:knowledge-powered attention and graph convolutional networks for social media rumor detection
por: Cui, Wei, et al.
Publicado: (2023)

Informed public against false rumor in the social media era: Focusing on social media dependency
por: Lee, Jiyoung, et al.
Publicado: (2018)

Rumors clarification with minimum credibility in social networks
por: Yao, Xiaopeng, et al.
Publicado: (2021)

Detecting rumor outbreaks in online social networks
por: Frąszczak, Damian
Publicado: (2023)

Rebuttal to ‘Comments on “The HARP Time Projection Chamber: Characteristics and physics performance”’
por: Ammosov, V, et al.
Publicado: (2008)

Social Media Polarization and Echo Chambers in the Context of COVID-19: Case Study
por: Jiang, Julie, et al.
Publicado: (2021)

Rebuttal of Con
por: Fee, Chris
Publicado: (2006)

Rebuttal of Pro
por: Maxim, Preston
Publicado: (2006)

Rebuttal to “Saying No...”
por: Clements, R. Carter
Publicado: (2003)

Rumor detection on social media using hierarchically aggregated feature via graph neural networks
por: Xu, Shouzhi, et al.
Publicado: (2022)

Distress and rumor exposure on social media during a campus lockdown
por: Jones, Nickolas M., et al.
Publicado: (2017)

Machine Learning Methods to Predict Social Media Disaster Rumor Refuters
por: Wang, Shihang, et al.
Publicado: (2019)

Rumor Diffusion in an Interests-Based Dynamic Social Network
por: Tang, Mingsheng, et al.
Publicado: (2013)

Social Media Content About Children’s Pain and Sleep: Content and Network Analysis
por: Tougas, Michelle E, et al.
Publicado: (2018)

Emotions explain differences in the diffusion of true vs. false social media rumors
por: Pröllochs, Nicolas, et al.
Publicado: (2021)

HAT4RD: Hierarchical Adversarial Training for Rumor Detection in Social Media
por: Ni, Shiwen, et al.
Publicado: (2022)

Sociological perspectives of social media, rumors, and attacks on minorities: Evidence from Bangladesh
por: Roy, Sajal, et al.
Publicado: (2023)

A survey on rumor detection and prevention in social media using deep learning
por: Pattanaik, Barsha, et al.
Publicado: (2023)

Rebuttal to Douglas and Elliott
por: Hudson, Robert
Publicado: (2022)

Peer Review of “Social Media Polarization and Echo Chambers in the Context of COVID-19: Case Study”
por: Buente, Wayne
Publicado: (2021)

Peer Review of “Social Media Polarization and Echo Chambers in the Context of COVID-19: Case Study”
por: Gadarian, Shana
Publicado: (2021)

Dynamics and control of delayed rumor propagation through social networks
por: Ghosh, Moumita, et al.
Publicado: (2021)

The Evolution of Rumors on a Closed Social Networking Platform During COVID-19: Algorithm Development and Content Study
por: Wang, Andrea W, et al.
Publicado: (2021)

Does Social Media Users’ Interaction Influence the Formation of Echo Chambers? Social Network Analysis Based on Vaccine Video Comments on YouTube
por: Sun, Mingfei, et al.
Publicado: (2022)

Rumor /
por: Strauss, Botho, 1944-
Publicado: (1986)

Mental health issues mediate social media use in rumors: Implication for media based mental health literacy
por: Sharma, Manoj Kumar, et al.
Publicado: (2020)

COVID-19–Related Rumor Content, Transmission, and Clarification Strategies in China: Descriptive Study
por: Ning, Peishan, et al.
Publicado: (2021)

Rebuttal to “Pro Filming in the ED”
por: Geidesman, Joel
Publicado: (2003)

Cannot write session to /tmp/vufind_sessions/sess_ecpcu3gkr332plroi0jsejnmgt