Let's nab fake science news : predicting scientists' support for interventions using the influence of presumed media influence model
Fake science news is a type of fake news that can threaten the credibility of the scientific community. Scientists’ attention to fake science news can indirectly influence the way they react to tackling fake science news through socio-psychological factors. Applying the influence of presumed media i...
Saved in:
Main Authors: | , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/155609 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-155609 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-1556092024-03-10T15:32:56Z Let's nab fake science news : predicting scientists' support for interventions using the influence of presumed media influence model Ho, Shirley S. Goh, Tong Jee Leung, Yan Wah Wee Kim Wee School of Communication and Information Arts and Humanities Education Fake News Fake science news is a type of fake news that can threaten the credibility of the scientific community. Scientists’ attention to fake science news can indirectly influence the way they react to tackling fake science news through socio-psychological factors. Applying the influence of presumed media influence (IPMI), this study examines how scientists’ attention to fake science news indirectly influences their support for initiatives to tackle fake science news through presumed harm of fake science news on other scientists and the general public, as well as their attitude and personal norm towards tackling fake science news. Specifically, this study explicates the behavioural outcome into support for education and support for legislation against fake science news. The results from a survey of 706 Singapore-based scientists supported the relationships posited in the IPMI. Theoretical and practical implications are discussed. Ministry of Education (MOE) Published version The author(s) disclosed receipt of the following financial support for the research, authorship and/ or publication of this article: This work was supported by the Singapore Ministry of Education Tier 1 Grants [Grant Numbers 04MNP000073C440 and 04MNP000243C440]. 2022-03-16T06:57:03Z 2022-03-16T06:57:03Z 2022 Journal Article Ho, S. S., Goh, T. J. & Leung, Y. W. (2022). Let's nab fake science news : predicting scientists' support for interventions using the influence of presumed media influence model. Journalism, 23(4), 910-928. https://dx.doi.org/10.1177/1464884920937488 1464-8849 https://hdl.handle.net/10356/155609 10.1177/1464884920937488 2-s2.0-85087292767 4 23 910 928 en 04MNP000073C440 04MNP000243C440 Journalism © 2020 The Author(s). This is an open-access article distributed under the terms of the Creative Commons License. application/pdf |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
Arts and Humanities Education Fake News |
spellingShingle |
Arts and Humanities Education Fake News Ho, Shirley S. Goh, Tong Jee Leung, Yan Wah Let's nab fake science news : predicting scientists' support for interventions using the influence of presumed media influence model |
description |
Fake science news is a type of fake news that can threaten the credibility of the scientific community. Scientists’ attention to fake science news can indirectly influence the way they react to tackling fake science news through socio-psychological factors. Applying the influence of presumed media influence (IPMI), this study examines how scientists’ attention to fake science news indirectly influences their support for initiatives to tackle fake science news through presumed harm of fake science news on other scientists and the general public, as well as their attitude and personal norm towards tackling fake science news. Specifically, this study explicates the behavioural outcome into support for education and support for legislation against fake science news. The results from a survey of 706 Singapore-based scientists supported the relationships posited in the IPMI. Theoretical and practical implications are discussed. |
author2 |
Wee Kim Wee School of Communication and Information |
author_facet |
Wee Kim Wee School of Communication and Information Ho, Shirley S. Goh, Tong Jee Leung, Yan Wah |
format |
Article |
author |
Ho, Shirley S. Goh, Tong Jee Leung, Yan Wah |
author_sort |
Ho, Shirley S. |
title |
Let's nab fake science news : predicting scientists' support for interventions using the influence of presumed media influence model |
title_short |
Let's nab fake science news : predicting scientists' support for interventions using the influence of presumed media influence model |
title_full |
Let's nab fake science news : predicting scientists' support for interventions using the influence of presumed media influence model |
title_fullStr |
Let's nab fake science news : predicting scientists' support for interventions using the influence of presumed media influence model |
title_full_unstemmed |
Let's nab fake science news : predicting scientists' support for interventions using the influence of presumed media influence model |
title_sort |
let's nab fake science news : predicting scientists' support for interventions using the influence of presumed media influence model |
publishDate |
2022 |
url |
https://hdl.handle.net/10356/155609 |
_version_ |
1794549303175282688 |