Analysis of Research on Online Rumors

Anjan Pal, Alton Y.K. Chua

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

3 Citations (Scopus)

Abstract

The prevalence of online rumors has now become a serious concern. They have also been attracting much scholarly attention from various academic disciplines. This study seeks to investigate the following research question: How do scholars tackle the phenomenon of online rumors? Specifically, it identifies (a) the research aims that have been explored, and (b) the disciplines as well as authors' collaboration trends in the exploration. For this purpose, the study conducts a content analysis of 202 scholarly articles to review the landscape of research on online rumors. The findings are as follows: There are four groups of research aims: (1) how rumors spread, (2) how rumors can be detected, (3) how rumors are perceived by humans, and (4) how rumors can be mitigated. In terms of the disciplines and authors' collaboration trends, while 128 (63.37%) articles showed intra-disciplinary collaboration, 74 (36.63%) articles involved inter-disciplinary collaboration trends. This study identifies directions for future research.

Original languageEnglish
Title of host publication5th International Conference on Information Management, ICIM 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages108-112
Number of pages5
ISBN (Electronic)9781728134307
DOIs
Publication statusPublished - May 14 2019
Externally publishedYes
Event5th International Conference on Information Management, ICIM 2019 - Cambridge, United Kingdom
Duration: Mar 24 2019Mar 27 2019

Publication series

Name5th International Conference on Information Management, ICIM 2019

Conference

Conference5th International Conference on Information Management, ICIM 2019
Country/TerritoryUnited Kingdom
CityCambridge
Period3/24/193/27/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

ASJC Scopus Subject Areas

  • Computer Networks and Communications
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality

Keywords

  • Content analysis
  • Disinformation
  • Misinformation
  • Online rumor
  • Social media

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