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...

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Main Authors: Ho, Shirley S., Goh, Tong Jee, Leung, Yan Wah
Other Authors: Wee Kim Wee School of Communication and Information
Format: Article
Language:English
Published: 2022
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Online Access:https://hdl.handle.net/10356/155609
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Institution: Nanyang Technological University
Language: English
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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
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