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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]
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Database: Education Research Complete
Description
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]
ISSN:07475632
DOI:10.1016/j.chb.2023.107769