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10.3389/fpsyg.2020.566108 http://scihub22266oqcxt.onion/10.3389/fpsyg.2020.566108 33071894!7541968!33071894     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33071894&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Front+Psychol 2020 ; 11 (ä): 566108 Nephropedia Template TP {{tp|p=33071894|t=2020. Factors Predicting Willingness to Share COVID-19 Misinformation |pdf=|usr=}}{{33071894}} gab.com Text Factors Predicting Willingness to Share COVID-19 Misinformation JO: Front Psychol http://www.kidney.de/pget.php?&tw=1&pmid=33071894 #FOAvip We conducted a preregistered exploratory survey to assess whether patterns of individual differences in political orientation, social dominance orientation (SDO), traditionalism, conspiracy ideation, or attitudes about science predict willingness to share different kinds of misinformation regarding the COVID-19 pandemic online. Analyses revealed two orthogonal models of individual differences predicting the willingness to share misinformation over social media platforms. Both models suggest a sizable role of different aspects of political belief, particularly SDO, in predicting tendencies to share different kinds of misinformation, predominantly conspiracy theories. Although exploratory, results from this study can contribute to the formulation of a socio-cognitive profile of individuals who act as vectors for the spread of scientific misinformation online, and can be useful for computationally modeling misinformation diffusion. Twit Text FOAVip Factors Predicting Willingness to Share COVID-19 Misinformation ????Front Psychol http://www.kidney.de/pget.php?&tw=1&pmid=33071894 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33071894 #FOAvip English Wikipedia <ref>{{Cite pmid|33071894}}</ref> Factors Predicting Willingness to Share COVID-19 Misinformation #MMPMID33071894 Lobato EJC; Powell M; Padilla LMK; Holbrook C Front Psychol 2020[]; 11 (ä): 566108 PMID33071894show ga We conducted a preregistered exploratory survey to assess whether patterns of individual differences in political orientation, social dominance orientation (SDO), traditionalism, conspiracy ideation, or attitudes about science predict willingness to share different kinds of misinformation regarding the COVID-19 pandemic online. Analyses revealed two orthogonal models of individual differences predicting the willingness to share misinformation over social media platforms. Both models suggest a sizable role of different aspects of political belief, particularly SDO, in predicting tendencies to share different kinds of misinformation, predominantly conspiracy theories. Although exploratory, results from this study can contribute to the formulation of a socio-cognitive profile of individuals who act as vectors for the spread of scientific misinformation online, and can be useful for computationally modeling misinformation diffusion. äFactors Predicting Willingness to Share COVID-19 Misinformation (epmc).pdf DeepDyve Pubget Overpricing