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Correcting climate change misinformation on social media: Reciprocal relationships between correcting others, anger, and environmental activism.

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Title: Correcting climate change misinformation on social media: Reciprocal relationships between correcting others, anger, and environmental activism.
Authors: Freiling, Isabelle1 (AUTHOR) isabelle.freiling@utah.edu, Matthes, Jörg1,2 (AUTHOR) joerg.matthes@univie.ac.at
Source: Computers in Human Behavior. Aug2023, Vol. 145, pN.PAG-N.PAG. 1p.
Subject Terms: *Social media, *Misinformation, Structural equation modeling, Questionnaires, Anger, Political participation, Climate change
Abstract: Although correcting others on social media is a frequently used strategy to combat the spreading of misinformation, we lack knowledge on the drivers of such corrective efforts. We theorize that climate change-related anger and political environmental activism can explain why people chose to correct others on social media. We further assume reciprocal relationships in which the act of correcting others predicts anger and political environmental activism. By doing so, we extend the concept of expression effects of correcting others from a cognitive level that predicts activism to an affective level (i.e., predicting anger). Structural equation modeling using data from a two-wave panel survey (N = 549) showed reciprocal relations between political environmental activism and correcting perceived climate change misinformation. Correction was further positively related to climate change-related anger, which, in turn, was positively related to political environmental activism. The data showed neither support for climate change-related anger predicting correction nor for political environmental activism predicting anger. This paper discusses the proposed extension of expression effects to an affective level in the context of misinformation research. • There were reciprocal relations between environmental activism and correcting perceived climate change misinformation. • Correcting perceived climate change misinformation was positively related to climate change-related anger. • Climate change-related anger was positively related to environmental activism. • The results support our proposed extension of expression effects to an affective level. [ABSTRACT FROM AUTHOR]
Copyright of Computers in Human Behavior is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: Correcting climate change misinformation on social media: Reciprocal relationships between correcting others, anger, and environmental activism.
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  Data: <searchLink fieldCode="AR" term="%22Freiling%2C+Isabelle%22">Freiling, Isabelle</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> isabelle.freiling@utah.edu</i><br /><searchLink fieldCode="AR" term="%22Matthes%2C+Jörg%22">Matthes, Jörg</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> joerg.matthes@univie.ac.at</i>
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  Data: <searchLink fieldCode="JN" term="%22Computers+in+Human+Behavior%22">Computers in Human Behavior</searchLink>. Aug2023, Vol. 145, pN.PAG-N.PAG. 1p.
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  Data: *<searchLink fieldCode="DE" term="%22Social+media%22">Social media</searchLink><br />*<searchLink fieldCode="DE" term="%22Misinformation%22">Misinformation</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+equation+modeling%22">Structural equation modeling</searchLink><br /><searchLink fieldCode="DE" term="%22Questionnaires%22">Questionnaires</searchLink><br /><searchLink fieldCode="DE" term="%22Anger%22">Anger</searchLink><br /><searchLink fieldCode="DE" term="%22Political+participation%22">Political participation</searchLink><br /><searchLink fieldCode="DE" term="%22Climate+change%22">Climate change</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Although correcting others on social media is a frequently used strategy to combat the spreading of misinformation, we lack knowledge on the drivers of such corrective efforts. We theorize that climate change-related anger and political environmental activism can explain why people chose to correct others on social media. We further assume reciprocal relationships in which the act of correcting others predicts anger and political environmental activism. By doing so, we extend the concept of expression effects of correcting others from a cognitive level that predicts activism to an affective level (i.e., predicting anger). Structural equation modeling using data from a two-wave panel survey (N = 549) showed reciprocal relations between political environmental activism and correcting perceived climate change misinformation. Correction was further positively related to climate change-related anger, which, in turn, was positively related to political environmental activism. The data showed neither support for climate change-related anger predicting correction nor for political environmental activism predicting anger. This paper discusses the proposed extension of expression effects to an affective level in the context of misinformation research. • There were reciprocal relations between environmental activism and correcting perceived climate change misinformation. • Correcting perceived climate change misinformation was positively related to climate change-related anger. • Climate change-related anger was positively related to environmental activism. • The results support our proposed extension of expression effects to an affective level. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Computers in Human Behavior is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=163469871
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.chb.2023.107769
    Languages:
      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
    Subjects:
      – SubjectFull: Social media
        Type: general
      – SubjectFull: Misinformation
        Type: general
      – SubjectFull: Structural equation modeling
        Type: general
      – SubjectFull: Questionnaires
        Type: general
      – SubjectFull: Anger
        Type: general
      – SubjectFull: Political participation
        Type: general
      – SubjectFull: Climate change
        Type: general
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      – TitleFull: Correcting climate change misinformation on social media: Reciprocal relationships between correcting others, anger, and environmental activism.
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            NameFull: Freiling, Isabelle
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          Name:
            NameFull: Matthes, Jörg
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            – D: 01
              M: 08
              Text: Aug2023
              Type: published
              Y: 2023
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              Value: 145
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