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 language | English |
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Title of host publication | Proceedings of 2016 SAI Computing Conference, SAI 2016 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1136-1139 |
Number of pages | 4 |
ISBN (Electronic) | 9781467384605 |
DOIs | |
Publication status | Published - Aug 29 2016 |
Externally published | Yes |
Event | 2016 SAI Computing Conference, SAI 2016 - London, United Kingdom Duration: Jul 13 2016 → Jul 15 2016 |
Publication series
Name | Proceedings of 2016 SAI Computing Conference, SAI 2016 |
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Conference
Conference | 2016 SAI Computing Conference, SAI 2016 |
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Country/Territory | United Kingdom |
City | London |
Period | 7/13/16 → 7/15/16 |
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