C
Chengcheng Shao
Researcher at National University of Defense Technology
Publications - 16
Citations - 1935
Chengcheng Shao is an academic researcher from National University of Defense Technology. The author has contributed to research in topics: Misinformation & Social media. The author has an hindex of 8, co-authored 16 publications receiving 1451 citations. Previous affiliations of Chengcheng Shao include Indiana University.
Papers
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Journal ArticleDOI
The spread of low-credibility content by social bots
Chengcheng Shao,Giovanni Luca Ciampaglia,Onur Varol,Kai-Cheng Yang,Alessandro Flammini,Filippo Menczer +5 more
TL;DR: In this paper, the authors analyze 14 million messages spreading 400 thousand articles on Twitter during ten months in 2016 and 2017 and find evidence that social bots played a disproportionate role in spreading articles from low-credibility sources.
Posted Content
The spread of fake news by social bots
TL;DR: Analysis of 14 million messages spreading 400 thousand claims on Twitter during and following the 2016 U.S. presidential campaign and election suggests that curbing social bots may be an effective strategy for mitigating the spread of online misinformation.
Journal ArticleDOI
The spread of low-credibility content by social bots.
Chengcheng Shao,Giovanni Luca Ciampaglia,Onur Varol,Kai-Cheng Yang,Alessandro Flammini,Filippo Menczer +5 more
TL;DR: It is found that bots play a major role in the spread of low-credibility content on Twitter, and control measures for limiting thespread of misinformation are suggested.
Proceedings ArticleDOI
Hoaxy: A Platform for Tracking Online Misinformation
TL;DR: Haxy is introduced, a platform for the collection, detection, and analysis of online misinformation and its related fact-checking efforts, and a preliminary analysis of a sample of public tweets containing both fake news and fact checking is presented.
Proceedings ArticleDOI
Hoaxy: A Platform for Tracking Online Misinformation
TL;DR: Hoaxy as discussed by the authors is a platform for the collection, detection, and analysis of online misinformation and its related fact-checking efforts, which can help researchers, journalists, and the general public understand the dynamics of real and fake news sharing.