Intention to trust and share health-related online rumors: Studying the role of risk propensity

Alton Y.K. Chua, Snehasish Banerjee, Ang Han Guan, Liew Jun Xian, Peng Peng

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

17 Citations (Scopus)

Abstract

As the Internet has become a popular avenue for users to seek health-related information, the prevalence of online rumors represents a growing concern. If users trust and share bogus health information on the Internet, repurcussions could be serious. Therefore, this paper examines how users' intention to trust and share rumors vary as a function of three factors: length, sentiment of rumors, and presence of pictures. The individual difference of risk propensity is also taken into account. Data were collected from 110 participants using a 2 (length of rumors: short or long) × 2 (rumor sentiments: positive or negative) × 2 (presence of pictures: present or absent) within-participants web-based experiment. Results indicate that long rumors as well as those without pictures were likely to be trusted and shared regardless of individuals' risk propensity. However, the relationship between rumor sentiment and intention was not always consistent between risk-averse and risk-seeking individuals. Implications of the results for both theory and practice are highlighted.

Original languageEnglish
Title of host publicationProceedings of 2016 SAI Computing Conference, SAI 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1136-1139
Number of pages4
ISBN (Electronic)9781467384605
DOIs
Publication statusPublished - Aug 29 2016
Externally publishedYes
Event2016 SAI Computing Conference, SAI 2016 - London, United Kingdom
Duration: Jul 13 2016Jul 15 2016

Publication series

NameProceedings of 2016 SAI Computing Conference, SAI 2016

Conference

Conference2016 SAI Computing Conference, SAI 2016
Country/TerritoryUnited Kingdom
CityLondon
Period7/13/167/15/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

ASJC Scopus Subject Areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Signal Processing
  • Modelling and Simulation

Keywords

  • health rumors
  • online rumors
  • risk propensity
  • share
  • trust
  • virality

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