Does negative news travel fast? Exploring the effect of news sentiment on interactive spiral

Jie Gu, Jing Tian, Xiaolun Wang, Hong Ling

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

3 Scopus citations

Abstract

The interactive essence of Web2.0 impacts news industry: users are extensively engaged in content creation and value contribution, yet a growing concern is that users’ interaction may amplify the negativity bias, resulting in a worrying media environment such that negative news drive out positive news. Focusing on interactive spiral of online news, this study examined the relationship between title sentiment and users’ different-stage reactions, including reading, commenting, like/dislike voting and forwarding. Against the traditional view that “negative news travels fast”, this study harvests opposite influence of title sentiment in different stages: although attracting users to read, title negativity decreased both the number of forwards and forwarding ratio.

Original languageEnglish (US)
Title of host publicationHCI International 2017 - Posters Extended Abstracts - 19th International Conference, HCI International 2017, Proceedings
EditorsConstantine Stephanidis
PublisherSpringer Verlag
Pages435-442
Number of pages8
ISBN (Print)9783319587493
DOIs
StatePublished - 2017
Event19th International Conference on Human-Computer Interaction, HCI International 2017 - Vancouver, Canada
Duration: Jul 9 2017Jul 14 2017

Publication series

NameCommunications in Computer and Information Science
Volume713
ISSN (Print)1865-0929

Other

Other19th International Conference on Human-Computer Interaction, HCI International 2017
Country/TerritoryCanada
CityVancouver
Period7/9/177/14/17

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • General Mathematics

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