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10.1080/10410236.2021.1929691 http://scihub22266oqcxt.onion/10.1080/10410236.2021.1929691 34015987!ä!34015987 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Health+Commun 2023 ; 38 (1): 21-30 Nephropedia Template TP {{tp|p=34015987|t=2023. Psycholinguistic Markers of COVID-19 Conspiracy Tweets and Predictors of Tweet Dissemination |pdf=|usr=}}{{34015987}} gab.com Text Psycholinguistic Markers of COVID-19 Conspiracy Tweets and Predictors of Tweet Dissemination JO: Health Commun http://www.kidney.de/pget.php?&tw=1&pmid=34015987 #FOAvip The adoption of conspiracy theories about COVID-19 has been fairly widespread among the general public and associated with the rejection of self-protective behaviors. Despite their significance, however, a gap remains in our understanding of the underlying characteristics of messages used to disseminate COVID-19 conspiracies. We used the construct of resonance as a framework to examine a sample of more than 1.8 million posts to Twitter about COVID-19 made between April and June 2020. Our analyses focused on the psycholinguistic properties that distinguish conspiracy theory tweets from other COVID-19 topics and predict their spread. COVID-19 conspiracy tweets were distinct and most likely to resonate when they provided explanations and expressed negative emotions. The results highlight the sensemaking functions served by conspiracy tweets in response to the profound upheaval caused by the pandemic. Twit Text FOAVip Psycholinguistic Markers of COVID-19 Conspiracy Tweets and Predictors of Tweet Dissemination ????Health Commun http://www.kidney.de/pget.php?&tw=1&pmid=34015987 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34015987 #FOAvip English Wikipedia <ref>{{Cite pmid|34015987}}</ref> Psycholinguistic Markers of COVID-19 Conspiracy Tweets and Predictors of Tweet Dissemination #MMPMID34015987 Rains SA; Leroy G; Warner EL; Harber P Health Commun 2023[Jan]; 38 (1): 21-30 PMID34015987show ga The adoption of conspiracy theories about COVID-19 has been fairly widespread among the general public and associated with the rejection of self-protective behaviors. Despite their significance, however, a gap remains in our understanding of the underlying characteristics of messages used to disseminate COVID-19 conspiracies. We used the construct of resonance as a framework to examine a sample of more than 1.8 million posts to Twitter about COVID-19 made between April and June 2020. Our analyses focused on the psycholinguistic properties that distinguish conspiracy theory tweets from other COVID-19 topics and predict their spread. COVID-19 conspiracy tweets were distinct and most likely to resonate when they provided explanations and expressed negative emotions. The results highlight the sensemaking functions served by conspiracy tweets in response to the profound upheaval caused by the pandemic. |*COVID-19/epidemiology[MESH] |*Social Media[MESH] |Humans[MESH] |Pandemics[MESH]Psycholinguistic Markers of COVID-19 Conspiracy Tweets and Predictors (epmc).pdf DeepDyve Pubget Overpricing