Toward a Comprehensive Model of Fake News: A New Approach to Examine the Creation and Sharing of False Information

The authors discuss a new conceptual model to examine the phenomenon of fake news. Their model focuses on the relationship between the creator and the consumer of fake news and proposes a mechanism by which to determine how likely users may be to share fake news with others. In particular, it is hyp...

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Main Authors: Andrew P. Weiss, Ahmed Alwan, Eric P. Garcia, Antranik T. Kirakosian
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Societies
Subjects:
Online Access:https://www.mdpi.com/2075-4698/11/3/82
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spelling doaj-7f7ddb4ba27f4ec9aec4d12928517d192021-09-26T01:25:47ZengMDPI AGSocieties2075-46982021-07-0111828210.3390/soc11030082Toward a Comprehensive Model of Fake News: A New Approach to Examine the Creation and Sharing of False InformationAndrew P. Weiss0Ahmed Alwan1Eric P. Garcia2Antranik T. Kirakosian3University Library, California State University, Northridge, CA 91330, USAUniversity Library, California State University, Northridge, CA 91330, USAUniversity Library, California State University, Northridge, CA 91330, USADepartment of Psychology, California State University, Northridge, CA 91330, USAThe authors discuss a new conceptual model to examine the phenomenon of fake news. Their model focuses on the relationship between the creator and the consumer of fake news and proposes a mechanism by which to determine how likely users may be to share fake news with others. In particular, it is hypothesized that information users would likely be influenced by seven factors in choosing to share fake news or to verify information, including the user’s: (1) level of online trust; (2) level of self-disclosure online; (3) amount of social comparison; (4) level of FoMO anxiety; (5) level of social media fatigue; (6) concept of self and role identity; and (7) level of education attainment. The implications reach into many well-established avenues of inquiry in education, Library and Information Science (LIS), sociology, and other disciplines, including communities of practice, information acquiring and sharing, social positioning, social capital theory, self-determination, rational choice (e.g., satisficing and information overload), critical thinking, and information literacy. Understanding the multiple root causes of creating and sharing fake news will help to alleviate its spread. Relying too heavily on but one factor to combat fake news—education level, for example—may have limited impact on mitigating its effects. Establishing thresholds for a certain combination of factors may better predict the tendency of users to share fake news. The authors also speculate on the role information literacy education programs can play in light of a more complex understanding of how fake news operates.https://www.mdpi.com/2075-4698/11/3/82fake newsinformation literacysocial media fatiguecritical thinkingrational choice theorysocial capital
collection DOAJ
language English
format Article
sources DOAJ
author Andrew P. Weiss
Ahmed Alwan
Eric P. Garcia
Antranik T. Kirakosian
spellingShingle Andrew P. Weiss
Ahmed Alwan
Eric P. Garcia
Antranik T. Kirakosian
Toward a Comprehensive Model of Fake News: A New Approach to Examine the Creation and Sharing of False Information
Societies
fake news
information literacy
social media fatigue
critical thinking
rational choice theory
social capital
author_facet Andrew P. Weiss
Ahmed Alwan
Eric P. Garcia
Antranik T. Kirakosian
author_sort Andrew P. Weiss
title Toward a Comprehensive Model of Fake News: A New Approach to Examine the Creation and Sharing of False Information
title_short Toward a Comprehensive Model of Fake News: A New Approach to Examine the Creation and Sharing of False Information
title_full Toward a Comprehensive Model of Fake News: A New Approach to Examine the Creation and Sharing of False Information
title_fullStr Toward a Comprehensive Model of Fake News: A New Approach to Examine the Creation and Sharing of False Information
title_full_unstemmed Toward a Comprehensive Model of Fake News: A New Approach to Examine the Creation and Sharing of False Information
title_sort toward a comprehensive model of fake news: a new approach to examine the creation and sharing of false information
publisher MDPI AG
series Societies
issn 2075-4698
publishDate 2021-07-01
description The authors discuss a new conceptual model to examine the phenomenon of fake news. Their model focuses on the relationship between the creator and the consumer of fake news and proposes a mechanism by which to determine how likely users may be to share fake news with others. In particular, it is hypothesized that information users would likely be influenced by seven factors in choosing to share fake news or to verify information, including the user’s: (1) level of online trust; (2) level of self-disclosure online; (3) amount of social comparison; (4) level of FoMO anxiety; (5) level of social media fatigue; (6) concept of self and role identity; and (7) level of education attainment. The implications reach into many well-established avenues of inquiry in education, Library and Information Science (LIS), sociology, and other disciplines, including communities of practice, information acquiring and sharing, social positioning, social capital theory, self-determination, rational choice (e.g., satisficing and information overload), critical thinking, and information literacy. Understanding the multiple root causes of creating and sharing fake news will help to alleviate its spread. Relying too heavily on but one factor to combat fake news—education level, for example—may have limited impact on mitigating its effects. Establishing thresholds for a certain combination of factors may better predict the tendency of users to share fake news. The authors also speculate on the role information literacy education programs can play in light of a more complex understanding of how fake news operates.
topic fake news
information literacy
social media fatigue
critical thinking
rational choice theory
social capital
url https://www.mdpi.com/2075-4698/11/3/82
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