Effects of sentiments on the morphing of falsehoods and correction messages on social media

Kelvin K. King, Bin Wang, Diego Escobari

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The burgeoning literature on fake news reveals that the emotional context of the message is a major factor that drives its diffusion on social media. However, studies have largely missed a major aspect of the diffusion process, which is the morphing of the textual contents themselves during this process. Our study first visually illustrates through hazard functions that, while falsehoods morphs aggressively at the initial stages, correction messages morph more aggressively in the long run. In addition, we leverage on cosine distance and econometric modeling to empirically investigate how sentiment affects the morphing of fake news and their correction messages. We find that positive sentiments, emotionally charged messages and correction messages positively affect the morphing of messages during the diffusion process. Our results also show that, as time goes by, the impacts of sentiments on morphing change.

Original languageEnglish (US)
Title of host publicationProceedings of the 54th Annual Hawaii International Conference on System Sciences, HICSS 2021
EditorsTung X. Bui
PublisherIEEE Computer Society
Pages6563-6572
Number of pages10
ISBN (Electronic)9780998133140
StatePublished - 2021
Externally publishedYes
Event54th Annual Hawaii International Conference on System Sciences, HICSS 2021 - Virtual, Online
Duration: Jan 4 2021Jan 8 2021

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
Volume2020-January
ISSN (Print)1530-1605

Conference

Conference54th Annual Hawaii International Conference on System Sciences, HICSS 2021
CityVirtual, Online
Period1/4/211/8/21

ASJC Scopus subject areas

  • Engineering(all)

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