Typology, Etiology, and Fact-Checking: A Pathological Study of Top Fake News in China-Reference-Cited by-同舟云学术

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Typology, Etiology, and Fact-Checking: A Pathological Study of Top Fake News in China

Published:2020-08-20 Issue: Volume: Page:1-19
ISSN:1751-2786
Container-title:Journalism Practice
language:en
Short-container-title:Journalism Practice

Author:

Wang Min¹,Rao Mingke²,Sun Zhipeng³

Affiliation:

1. Center of Studies for Media Development, School of Journalism and Communication, Wuhan University, Wuhan, People’s Republic of China

2. School of Media and Communication, University of Leeds, Leeds, UK

3. School of Journalism and Communication, Wuhan University, Wuhan, People’s Republic of China

Publisher

Informa UK Limited

Subject

Communication

Link

https://www.tandfonline.com/doi/pdf/10.1080/17512786.2020.1806723

Reference89 articles.

1. Detection of Online Fake News Using N-Gram Analysis and Machine Learning Techniques

2. Social Media and Fake News in the 2016 Election

3. Manufacturing process data analysis pipelines: a requirements analysis and survey

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1. Exploring the Influence of Cumulative Ecological Risk on Belief in Fake News: A Longitudinal Study;American Journal of Health Behavior;2024-04-30

2. The Methodology Used by Fact-Checkers. An In-Depth Analysis of Commonly Used Strategies;Journalism Practice;2024-04-16

3. Show Me the Facts: Newsroom-Affiliated and Independent Fact-Checkers’ Transparency Acts;Digital Journalism;2024-04-05

4. An exploration into how print and online news journalists manage political fake news in Ireland;2024

5. Disinformation and Artificial Intelligence: the Case of Online Journalism in China;Estudios sobre el Mensaje Periodístico;2023-12-12

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