Literature DB >> 28263685

Normative Mechanism of Rumor Dissemination on Twitter.

Hyegyu Lee1, Hyun Jung Oh2.   

Abstract

This study aims to understand the impact of descriptive social norms on message believability and transmission and its underlying mechanism on Twitter. Using two types of information (i.e., news and rumor) presented as a tweet message, the influence of the number of retweets as a normative cue was tested. A result of an online experiment with 639 Twitter users suggests that regardless of the label of the information, message believability and intention to share were stronger for a tweet with a high number of retweets. The mediation test showed that the presumption that a message is believable to others mediates the relationship between a high number of retweets and message believability.

Keywords:  descriptive norms; message believability; news; retweet; rumor

Mesh:

Year:  2017        PMID: 28263685     DOI: 10.1089/cyber.2016.0447

Source DB:  PubMed          Journal:  Cyberpsychol Behav Soc Netw        ISSN: 2152-2715


  2 in total

1.  The popularity of contradictory information about COVID-19 vaccine on social media in China.

Authors:  Dandan Wang; Yadong Zhou
Journal:  Comput Human Behav       Date:  2022-05-05

2.  Rumor Transmission in Online Social Networks Under Nash Equilibrium of a Psychological Decision Game.

Authors:  Wenjia Liu; Jian Wang; Yanfeng Ouyang
Journal:  Netw Spat Econ       Date:  2022-06-30       Impact factor: 2.484

  2 in total

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