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The contagiousness of memes: containing the spread of COVID-19 conspiracy theories in a forensic psychiatric hospital.

ABSTRACT: COVID-19 has transformed healthcare service provision. In addition to the spread of a virus, there has been an equally concerning emergence and spread of conspiracy theories. Such theories can threaten societal cohesion and adherence to the necessary public health guidance. In a forensic in-patient setting, such difficulties can be amplified. In this paper, we outline the key theory in relation to the development and spread of conspiracy theory memes. We propose primary, secondary and tertiary level responses to tackle the possible generation and spread of harmful conspiracies in the forensic in-patient setting. We consider this to be important, as there is a risk that such beliefs could affect patients' mental health and, in extremis, undermine physical health efforts to reduce the spread of COVID-19.

SUBMITTER: Panchal R

PROVIDER: S-EPMC7711333 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

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The contagiousness of memes: containing the spread of COVID-19 conspiracy theories in a forensic psychiatric hospital.

Panchal Reena R Jack Alexander A

BJPsych bulletin 20220201 1

COVID-19 has transformed healthcare service provision. In addition to the spread of a virus, there has been an equally concerning emergence and spread of conspiracy theories. Such theories can threaten societal cohesion and adherence to the necessary public health guidance. In a forensic in-patient setting, such difficulties can be amplified. In this paper, we outline the key theory in relation to the development and spread of conspiracy theory memes. We propose primary, secondary and tertiary l ...[more]

PMID: 33183398

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Project description:Conspiracy theories in social networks are considered to have adverse effects on individuals' compliance with public health measures in the context of a pandemic situation. A deeper understanding of how conspiracy theories propagate through social networks is critical for the development of countermeasures. The present work focuses on a novel approach to characterize the propagation of conspiracy theories through social networks by applying epidemiological models to Twitter data. A Twitter dataset was searched for tweets containing hashtags indicating belief in the "5GCoronavirus" conspiracy theory, which states that the COVID-19 pandemic is a result of, or enhanced by, the enrollment of the 5G mobile network. Despite the absence of any scientific evidence, the "5GCoronavirus" conspiracy theory propagated rapidly through Twitter, beginning at the end of January, followed by a peak at the beginning of April, and ceasing/disappearing approximately at the end of June 2020. An epidemic SIR (Susceptible-Infected-Removed) model was fitted to this time series with acceptable model fit, indicating parallels between the propagation of conspiracy theories in social networks and infectious diseases. Extended SIR models were used to simulate the effects that two specific countermeasures, fact-checking and tweet-deletion, could have had on the propagation of the conspiracy theory. Our simulations indicate that fact-checking is an effective mechanism in an early stage of conspiracy theory diffusion, while tweet-deletion shows only moderate efficacy but is less time-sensitive. More generally, an early response is critical to gain control over the spread of conspiracy theories through social networks. We conclude that an early response combined with strong fact-checking and a moderate level of deletion of problematic posts is a promising strategy to fight conspiracy theories in social networks. Results are discussed with respect to their theoretical validity and generalizability.

Project description:IntroductionCOVID-19 vaccine hesitancy is a worldwide phenomenon and a serious threat to pandemic control efforts. Until recently, COVID-19 vaccine hesitancy was not the cause of low vaccine coverage in Nigeria; vaccine scarcity was the problem. As the global supply of COVID-19 vaccines improves in the second half of 2021 and more doses are deployed in Nigeria, the supply/demand dynamic will switch. Vaccine acceptance will become a key driver of coverage; thus, amplifying the impact of vaccine hesitancy. Conspiracy theories and misinformation about COVID-19 are rampant and have been shown to drive vaccine hesitancy and refusal. This study systematically elicits the misinformation and conspiracy theories circulating about COVID-19 among the Nigerian public to understand relevant themes and potential message framing for communication efforts to improve vaccine uptake.MethodsFrom February 1 to 8, 2021, we conducted 22 focus group discussions and 24 key informant interviews with 178 participants from six states representing the six geopolitical zones. Participants were purposively selected and included sub-national program managers, healthcare workers, and community members. All interviews were iteratively analyzed using a framework analysis approach.ResultsWe elicited a total of 33 different conspiracy theories or misinformation that participants had heard about the COVID-19 virus, pandemic response, or vaccine. All participants had heard some misinformation. The leading claim was that COVID-19 was not real, and politicians took advantage of the situation and misused funds. People believed certain claims based on distrust of government, their understanding of Christian scripture, or their lack of personal experience with COVID-19.ConclusionsOur study is the first to report a thematic analysis of the range of circulating misinformation about COVID-19 in Nigeria. Our findings provide new insights into why people believe these theories, which could help the immunization program improve demand generation communication for COVID-19 vaccines by targeting unsubstantiated claims.

Dataset Information

The contagiousness of memes: containing the spread of COVID-19 conspiracy theories in a forensic psychiatric hospital.

Publications

The contagiousness of memes: containing the spread of COVID-19 conspiracy theories in a forensic psychiatric hospital.

Similar Datasets

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