Pylons ablaze: Examining the role of 5G COVID-19 conspiracy beliefs and support for violence.

Amid increased acts of violence against telecommunication engineers and property, this pre-registered study (N = 601 Britons) investigated the association between beliefs in 5G COVID-19 conspiracy theories and the justification and willingness to use violence. Findings revealed that belief in 5G COVID-19 conspiracy theories was positively correlated with state anger, which in turn, was associated with a greater justification of real-life and hypothetical violence in response to an alleged link between 5G mobile technology and COVID-19, alongside a greater intent to engage in similar behaviours in the future. Moreover, these associations were strongest for those highest in paranoia. Furthermore, we show that these patterns are not specific to 5G conspiratorial beliefs: General conspiracy mentality was positively associated with justification and willingness for general violence, an effect mediated by heightened state anger, especially for those most paranoid in the case of justification of violence. Such research provides novel evidence on why and when conspiracy beliefs may justify the use of violence.

Jolley D ，Paterson JL 《-》

COVID-19 and the 5G Conspiracy Theory: Social Network Analysis of Twitter Data.

Since the beginning of December 2019, the coronavirus disease (COVID-19) has spread rapidly around the world, which has led to increased discussions across online platforms. These conversations have also included various conspiracies shared by social media users. Amongst them, a popular theory has linked 5G to the spread of COVID-19, leading to misinformation and the burning of 5G towers in the United Kingdom. The understanding of the drivers of fake news and quick policies oriented to isolate and rebate misinformation are keys to combating it. The aim of this study is to develop an understanding of the drivers of the 5G COVID-19 conspiracy theory and strategies to deal with such misinformation. This paper performs a social network analysis and content analysis of Twitter data from a 7-day period (Friday, March 27, 2020, to Saturday, April 4, 2020) in which the #5GCoronavirus hashtag was trending on Twitter in the United Kingdom. Influential users were analyzed through social network graph clusters. The size of the nodes were ranked by their betweenness centrality score, and the graph's vertices were grouped by cluster using the Clauset-Newman-Moore algorithm. The topics and web sources used were also examined. Social network analysis identified that the two largest network structures consisted of an isolates group and a broadcast group. The analysis also revealed that there was a lack of an authority figure who was actively combating such misinformation. Content analysis revealed that, of 233 sample tweets, 34.8% (n=81) contained views that 5G and COVID-19 were linked, 32.2% (n=75) denounced the conspiracy theory, and 33.0% (n=77) were general tweets not expressing any personal views or opinions. Thus, 65.2% (n=152) of tweets derived from nonconspiracy theory supporters, which suggests that, although the topic attracted high volume, only a handful of users genuinely believed the conspiracy. This paper also shows that fake news websites were the most popular web source shared by users; although, YouTube videos were also shared. The study also identified an account whose sole aim was to spread the conspiracy theory on Twitter. The combination of quick and targeted interventions oriented to delegitimize the sources of fake information is key to reducing their impact. Those users voicing their views against the conspiracy theory, link baiting, or sharing humorous tweets inadvertently raised the profile of the topic, suggesting that policymakers should insist in the efforts of isolating opinions that are based on fake news. Many social media platforms provide users with the ability to report inappropriate content, which should be used. This study is the first to analyze the 5G conspiracy theory in the context of COVID-19 on Twitter offering practical guidance to health authorities in how, in the context of a pandemic, rumors may be combated in the future.

Ahmed W ，Vidal-Alaball J ，Downing J ，López Seguí F ... -  《JOURNAL OF MEDICAL INTERNET RESEARCH》

Cultural orientation, power, belief in conspiracy theories, and intentions to reduce the spread of COVID-19.

Biddlestone M ，Green R ，Douglas KM 《-》

COVID-19 conspiracy beliefs, health behaviors, and policy support.

Conspiracy theories have been proliferating during the COVID-19 pandemic. Evidence suggests that belief in conspiracy theories undermines engagement in pro-health behaviors and support for public health policies. Moreover, previous work suggests that inoculating messages from opinion leaders that expose conspiracy theories as false before people are exposed to them can help to prevent belief in new conspiracies. Goals of this study were to: (a) explore associations between COVID-19 conspiracy beliefs with SARS-CoV-2 vaccine intentions, cooperation with public health recommendations, and support for public health policies among U.S. adults and (b) investigate trusted sources of COVID-19 information to inform strategies to address conspiracy beliefs. A cross-sectional, online survey was conducted with 845 U.S. adults in April 2020. Data were analyzed using analyses of variance and multivariable regressions. One-third (33%) of participants believed one or more conspiracies about COVID-19. Participants who believed conspiracies reported that their intentions to vaccinate were 3.9 times lower and indicated less support for COVID-19 public health policies than participants who disbelieved conspiracies. There were no differences in cooperation with public health recommendations by conspiracy belief endorsement in the multivariable regression analysis. Although there were some key differences in trusted sources of COVID-19 information, doctor(s) were the most trusted source of information about COVID-19 overall with 90% of participants trusting doctor(s). Doctor(s) may play a role in addressing COVID-19 conspiracy theories before people are exposed to them to promote COVID-19 prevention efforts.

Earnshaw VA ，Eaton LA ，Kalichman SC ，Brousseau NM ，Hill EC ，Fox AB ... -  《-》

Looking out for myself: Exploring the relationship between conspiracy mentality, perceived personal risk, and COVID-19 prevention measures.

This research examined how conspiracy mentality may affect compliance with preventive health measures necessary to fight the COVID-19 pandemic, and the underlying motivations to comply. We conducted two cross-sectional studies (Study 1 N = 762, Study 2 N = 229) on a French population, measuring conspiracy mentality, compliance with preventive health measures, and perceived risks related to COVID-19. We also measured motivations to comply with preventive measures in Study 2. We show that people high in conspiracy mentality are likely to engage in non-normative prevention behaviours (Study 1), but are less willing to comply with extreme preventive behaviours that are government-driven (Study 2). However, we demonstrate that a perceived risk to oneself (risk of death) and a motivation to protect oneself can act as a suppressor: Conspiracy mentality is linked with an increase in the perception of risk to oneself, which, in turn, is associated with normative compliance. We also find that perceived risk of death explains the relationship between conspiracy mentality and non-normative prevention behaviours. Our studies showcase how people high in conspiracy theorizing may (dis)engage with prevention behaviours, but that perceived risk and motivation to protect oneself could increase these individuals' compliance.

Marinthe G ，Brown G ，Delouvée S ，Jolley D ... -  《-》