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      Finding Someone to Blame: The Link Between COVID-19 Conspiracy Beliefs, Prejudice, Support for Violence, and Other Negative Social Outcomes

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          Abstract

          One of the appeals of conspiracy theories in times of crises is that they provide someone to blame for what has happened. Thereby, they increase distrust, negative feelings, and hostility toward implicated actors, whether those are powerful social outgroups or one’s own government representatives. Two studies reported here examine associations of COVID-19 conspiracy theories with prejudice, support for violence, and other and negative social outcomes. In Study 1 ( N = 501), the endorsement of the more specific conspiracy theories about the alleged role of China was associated with more prejudiced views of Chinese and Italian people. In Study 2 ( N = 1024), lowered trust in government regulations and increased hostility associated with the COVID-19 and generic conspiracy beliefs were correlated with justification of and willingness to engage in non-compliance with regulations, violent attacks on 5G masts, and anti-government protests. Across both of the studies, higher exposure to news about COVID-19 was associated with lower endorsement of conspiracy theories, but also with increased feelings of anxiety and lack of control, which in turn were correlated with higher COVID-19 conspiracy beliefs endorsement. We highlight the potential social problems which are associated with the wide-spread endorsement of COVID-19 conspiracy theories.

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          Most cited references75

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          G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences

          G*Power (Erdfelder, Faul, & Buchner, 1996) was designed as a general stand-alone power analysis program for statistical tests commonly used in social and behavioral research. G*Power 3 is a major extension of, and improvement over, the previous versions. It runs on widely used computer platforms (i.e., Windows XP, Windows Vista, and Mac OS X 10.4) and covers many different statistical tests of the t, F, and chi2 test families. In addition, it includes power analyses for z tests and some exact tests. G*Power 3 provides improved effect size calculators and graphic options, supports both distribution-based and design-based input modes, and offers all types of power analyses in which users might be interested. Like its predecessors, G*Power 3 is free.
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            Impact of COVID-19 Pandemic on Mental Health in the General Population: A Systematic Review

            Highlights • The Coronavirus disease 2019 (COVID-19) pandemic has resulted in unprecedented hazards to mental health globally. • Relatively high rates of anxiety, depression, post-traumatic stress disorder, psychological distress, and stress were reported in the general population during the COVID-19 pandemic in eight countries. • Common risk factors associated with mental distress during the COVID-19 pandemic include female gender, younger age group (≤40 years), presence of chronic/psychiatric illnesses, unemployment, student status, and frequent exposure to social media/news concerning COVID-19. • Mitigation of COVID-19 induced psychological distress requires government intervention and individual efforts.
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              Mental health problems and social media exposure during COVID-19 outbreak

              Huge citizens expose to social media during a novel coronavirus disease (COVID-19) outbroke in Wuhan, China. We assess the prevalence of mental health problems and examine their association with social media exposure. A cross-sectional study among Chinese citizens aged≥18 years old was conducted during Jan 31 to Feb 2, 2020. Online survey was used to do rapid assessment. Total of 4872 participants from 31 provinces and autonomous regions were involved in the current study. Besides demographics and social media exposure (SME), depression was assessed by The Chinese version of WHO-Five Well-Being Index (WHO-5) and anxiety was assessed by Chinese version of generalized anxiety disorder scale (GAD-7). multivariable logistic regressions were used to identify associations between social media exposure with mental health problems after controlling for covariates. The prevalence of depression, anxiety and combination of depression and anxiety (CDA) was 48.3% (95%CI: 46.9%-49.7%), 22.6% (95%CI: 21.4%-23.8%) and 19.4% (95%CI: 18.3%-20.6%) during COVID-19 outbroke in Wuhan, China. More than 80% (95%CI:80.9%-83.1%) of participants reported frequently exposed to social media. After controlling for covariates, frequently SME was positively associated with high odds of anxiety (OR = 1.72, 95%CI: 1.31–2.26) and CDA (OR = 1.91, 95%CI: 1.52–2.41) compared with less SME. Our findings show there are high prevalence of mental health problems, which positively associated with frequently SME during the COVID-19 outbreak. These findings implicated the government need pay more attention to mental health problems, especially depression and anxiety among general population and combating with “infodemic” while combating during public health emergency.
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                Author and article information

                Contributors
                Journal
                Front Psychol
                Front Psychol
                Front. Psychol.
                Frontiers in Psychology
                Frontiers Media S.A.
                1664-1078
                14 January 2022
                2021
                14 January 2022
                : 12
                : 726076
                Affiliations
                Institute of Experimental Psychology, Centre of Social and Psychological Sciences, Slovak Academy of Sciences , Bratislava, Slovakia
                Author notes

                Edited by: Cristina Zogmaister, University of Milano-Bicocca, Italy

                Reviewed by: Dan Romer, University of Pennsylvania, United States; Marios Constantinou, University of Nicosia, Cyprus

                *Correspondence: Jakub Šrol, jakub.srol@ 123456savba.sk

                This article was submitted to Personality and Social Psychology, a section of the journal Frontiers in Psychology

                Article
                10.3389/fpsyg.2021.726076
                8795973
                35095634
                177ad2bb-13bd-4d40-a01f-e9f1de9480ce
                Copyright © 2022 Šrol, Čavojová and Ballová Mikušková.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 16 June 2021
                : 15 December 2021
                Page count
                Figures: 0, Tables: 6, Equations: 0, References: 76, Pages: 16, Words: 14261
                Funding
                Funded by: Vedecká Grantová Agentúra MŠVVaŠ SR a SAV, doi 10.13039/501100006109;
                Award ID: APVV-20-0335
                Award ID: VEGA 2/0053/21
                Categories
                Psychology
                Original Research

                Clinical Psychology & Psychiatry
                conspiracy theories,covid-19,prejudice,support for violence,negative social outcomes

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