conspiracy theories
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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.

Sentiment analysis has recently become increasingly important with a massive increase in online content. It is associated with the analysis of textual data generated by social media that can be easily accessed, obtained, and analyzed. With the emergence of COVID-19, most published studies related to COVID-19’s conspiracy theories were surveys on the people's sentiments and opinions and studied the impact of the pandemic on their lives. Just a few studies utilized sentiment analysis of social media using a machine learning approach. These studies focused more on sentiment analysis of Twitter tweets in the English language and did not pay more attention to other languages such as Arabic. This study proposes a machine learning model to analyze the Arabic tweets from Twitter. In this model, we apply Word2Vec for word embedding which formed the main source of features. Two pretrained continuous bag-of-words (CBOW) models are investigated, and Naïve Bayes was used as a baseline classifier. Several single-based and ensemble-based machine learning classifiers have been used with and without SMOTE (synthetic minority oversampling technique). The experimental results show that applying word embedding with an ensemble and SMOTE achieved good improvement on average of F1 score compared to the baseline classifier and other classifiers (single-based and ensemble-based) without SMOTE.

Abstract The spread of the coronavirus disease-2019 (COVID-19) pandemic in 2020 was the impetus for an exogenous shock. In addition to the disruption brought on by the spread of COVID-19, conspiracy theories flourished on many aspects of the disease. However, the association between belief in conspiracy theories and voting behaviour has not been studied sufficiently, especially in the context of the COVID-19 pandemic. This paper investigates the association between a belief in conspiracy theories and an intention to vote for populist parties (PPs). This association is analysed in a case study of Italian voters, where PPs can be found in the government and in the opposition. By conducting a cross-sectional analysis during the third wave of panel data fielded in December 2020, this article shows that individuals who have anti-vax attitudes and who also have a higher propensity to believe in conspiracy theories are more likely to vote for PPs, although it is worth considering the roles PPs play in either the government or in the opposition.

The dissemination of purposely deceitful or misleading content to target audiences for political aims or economic purposes constitutes a threat to democratic societies and institutions, and is being increasingly recognized as a major security threat, particularly after evidence and allegations of hostile foreign interference in several countries surfaced in the last five years. Disinformation can also be part of hybrid threat activities. This research paper examines findings on the effects of disinformation and addresses the question of how effective counterstrategies against digital disinformation are, with the aim of assessing the impact of responses such as the exposure and disproval of disinformation content and conspiracy theories. The paper’s objective is to synthetize the main scientific findings on disinformation effects and on the effectiveness of debunking, inoculation, and forewarning strategies against digital disinformation. A mixed methodology is used, combining qualitative interpretive analysis and structured technique for evaluating scientific literature such as a systematic literature review (SLR), following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework.

COVID-19 vaccines have met varying levels of acceptance and hesitancy in different parts of the world, which has implications for eliminating the COVID-19 pandemic. The aim of this systematic review is to examine how and why the rates of COVID-19 vaccine acceptance and hesitancy differ across countries and continents. PubMed, Web of Science, IEEE Xplore and Science Direct were searched between 1 January 2020 and 31 July 2021 using keywords such as “COVID-19 vaccine acceptance”. 81 peer-reviewed publications were found to be eligible for review. The analysis shows that there are global variations in vaccine acceptance among different populations. The vaccine-acceptance rates were the highest amongst adults in Ecuador (97%), Malaysia (94.3%) and Indonesia (93.3%) and the lowest amongst adults in Lebanon (21.0%). The general healthcare workers (HCWs) in China (86.20%) and nurses in Italy (91.50%) had the highest acceptance rates, whereas HCWs in the Democratic Republic of Congo had the lowest acceptance (27.70%). A nonparametric one-way ANOVA showed that the differences in vaccine-acceptance rates were statistically significant (H (49) = 75.302, p = 0.009*) between the analyzed countries. However, the reasons behind vaccine hesitancy and acceptance were similar across the board. Low vaccine acceptance was associated with low levels of education and awareness, and inefficient government efforts and initiatives. Furthermore, poor influenza-vaccination history, as well as conspiracy theories relating to infertility and misinformation about the COVID-19 vaccine on social media also resulted in vaccine hesitancy. Strategies to address these concerns may increase global COVID-19 vaccine acceptance and accelerate our efforts to eliminate this pandemic.

AbstractIn 2020 governments worldwide implemented various laws and social distancing restrictions to contain the spread of the COVID-19 virus. At the same time, conspiracy theories emerged purporting that authorities were using the COVID-19 pandemic to permanently control or harm citizens. These conspiracies undermined government responses to the pandemic and in some cases elicited civil disobedience. Using survey data from 779 Australians collected eight months into the pandemic, we examined the relationship between conspiracy beliefs, trust in the government, and duty to comply with authorities during the COVID-19 pandemic. We also examined whether trust in government moderated the association between conspiracy beliefs and duty to comply. We found that those prone to conspiracy theory beliefs and who distrusted government were less likely to comply with authorities during the pandemic. We also found that trust in the government moderated the negative relationship between conspiracy beliefs and duty to comply; high trust served as a protective factor against conspiracy beliefs. Importantly, we found that how government actions were experienced and perceived during the pandemic were important correlates of Australians’ level of trust in the government. Our findings point to the importance of governments maintaining high trust in their efficacy and approach during a crisis.

This article examines the proliferation of alt. health influencers during the COVID-19 pandemic. I analyse the self-presentation strategies used by four alt. health influencers to achieve visibility and status on Instagram over a 12-month period from 11 March 2020, when the pandemic was declared by the World Health Organisation. My analysis reveals the ways in which these influencers appeal to the utopian discourses of early web culture and the underlying principles of wellness culture to build and sustain an online following. While early accounts of micro-celebrity treat participatory culture as democratising and progressive, this article demonstrates how the participatory affordances of social media have been exploited to spread misinformation, conspiratorial thinking and far-right extremism. These findings develop previous work on ‘conspirituality’ by demonstrating how wellness culture and web culture can coalesce for authoritarian ends.

This article critically examines how human life today is faced with issues of dishonesty and deception. Using the concept of post-truth in analyzing and understanding the context of change in a global society under neo-liberalism, it focuses on the way powerful people, groups, political parties, and media now take recourse to strategies such as falsification, manipulation, or deception to influence and control the human mind. Those involved in doing this use nostalgic narratives, idealize a fictional past and generate conspiracy theories to create false consciousness and thereby colonize the life world. Such colonization not only promotes social pathologies but also limits the democratic, secular, and plural spirits of multicultural nations like India. The article ends by arguing that there are limits to such politics and the best alternative to the conundrum is the assertion of human subjectivity and agency, and alternative media can play a major role in this endeavor.

Perceived stress has previously been implicated in the belief of conspiracies, with some authors suggesting that stress can precipitate increased belief in conspiracy theories. This preregistered survey study aimed to replicate findings by Swami et al. (2016) showing a positive correlation between belief in conspiracy theories and perceived stress. 372 Australian and New Zealand residents participated. Beliefs in conspiracy theories were measured using 11 items drawn mainly from existing scales (α = .87). Perceived stress was measured using the 10-item Perceived Stress Scale (PSS; α = .91). The average level of endorsement of conspiracy theories was relatively low (M = 1.89 on a Likert scale from 1 to 5; SD = 0.72). Supporting our hypothesis, we found a significant and positive correlation between perceived stress and belief in conspiracy theories, r(370) = .20, p = .001, 95% CI [.096, .292]. Future work could investigate the causal mechanism producing this association.