To troll or not to troll: Young adults' anti-social behaviour on social media.

BACKGROUND: Online anti-social behaviour is on the rise, reducing the perceived benefits of social media in society and causing a number of negative outcomes. This research focuses on the factors associated with young adults being perpetrators of anti-social behaviour when using social media. METHOD: Based on an online survey of university students in Canada (n = 359), we used PLS-SEM to create a model and test the associations between four factors (online disinhibition, motivations for cyber-aggression, self-esteem, and empathy) and the likelihood of being a perpetrator of online anti-social behaviour. RESULTS: The model shows positive associations between two appetitive motives for cyber-aggression (namely recreation and reward) and being a perpetrator. This finding indicates that young adults engage in online anti-social behaviour for fun and social approval. The model also shows a negative association between cognitive empathy and being a perpetrator, which indicates that perpetrators may be engaging in online anti-social behaviour because they do not understand how their targets feel.

Heuristic responses to pandemic uncertainty: Practicable communication strategies of "reasoned transparency" to aid public reception of changing science.

Scientific uncertainty during pandemic outbreaks poses a challenge for health communicators. Debates continue over the extent to which health officials should be transparent about uncertainty and the extent to which they should suppress uncertainty and risk losing the public's trust when information changes. The middle ground, the concept of "reasoned transparency," proposes that communicators focus on interpreting uncertainty to the public in ways informed by risk research. However, little guidance exists for health officials on how to do so in this context. After conducting a series of one-to-one interviews about people's coronavirus disease 2019 information habits, we identified significant trends in the heuristics that people depended on to process uncertainty. Based on those trends, we propose health communicators use narratives of science as evolving to set expectations for change, and that when changes do occur, health communicators note divergences from the past and avoid simply replacing old information with new information.

"My People Already Know That": The Imagined Audience and COVID-19 Health Information Sharing Practices on Social Media.

This article examines how imagined audiences and impression management strategies shape COVID-19 health information sharing practices on social media and considers the implications of this for combatting the spread of misinformation online. In an interview study with 27 Canadian adults, participants were shown two infographics about masks and vaccines produced by the World Health Organization (WHO) and asked whether or not they would share these on social media. We find that interviewees' willingness to share the WHO infographics is negotiated against their mental perception of the online audience, which is conceptualized in three distinct ways. First, interviewees who would not share the infographics frequently describe a self-similar audience of peers that are "in the know" about COVID-19; second, those who might share the infographics conjure a specific and contextual audience who "needs" the information; and finally, those who said they would share the infographics most frequently conjure an abstract audience of "the public" or "my community" to explain that decision. Implications of these sharing behaviors for combatting the spread of misinformation are discussed.

Design Principles for an Educational Intervention Into Online Vaccine Misinformation.

As part of a design-based research effort into disrupting the spread of COVID-19 misinformation, we have iteratively designed, developed, and evaluated a learning intervention intended for public audiences. In this paper we describe the design principles we created to guide our applied research into education on the topic of online misinformation. The six principles guiding our design are: microlearning; equity; relevance and appeal to learners; interventions that do not inadvertently spread misinformation; effective counter messaging; and engagement on an emotional level. These principles are grounded on equitable design, anti-misinformation design, and emotional design.

An Evaluation of a Microlearning Intervention to Limit COVID-19 Online Misinformation.

As part of a design-based research project, we designed, developed, and evaluated a web-based microlearning intervention in the form of a comic into the problem of COVID-19 online misinformation. In this paper, we report on our formative evaluation efforts. Specifically, we assessed the degree to which the comic was effective and engaging via responses to a questionnaire (n = 295) in a posttest-only non-experimental design. The intervention focused on two learning objectives, aiming to enable users to recognize (a) that online misinformation is often driven by strong emotions like fear and anger, and (b) that one strategy for disrupting the spread of misinformation can be the act of stopping before reacting to misinformation. Results indicate that the comic was both effective and engaging in achieving these learning objectives.

Inoculating an Infodemic: An Ecological Approach to Understanding Engagement With COVID-19 Online Information: PROD

As the global COVID-19 pandemic has been concurrently labelled an “infodemic,” researchers have sought to improve how the general public engages with information that is relevant, timely, and accurate. In this study, we provide an overview of the reasons why people engage and disengage with COVID-19 information. We use context-rich semi-structured interviews which invited participants to discuss online COVID-19-related content they encountered. This qualitative approach allows us to uncover subtle but important details of influences that drive online engagement. Participants both engaged and disengaged with content for individual and social reasons, with seven themes emerging connected to their engagement including actions in response to information, reasoning for engagement, content, motivating concerns, frequency of engagement with information, site of exposure, and given reason for not engaging. Many of these themes intersected and informed each other. Our findings suggest that researchers and public health communicators should approach engagement as an ecology of intersecting influences, both human and algorithmic, which change over time. This information could be potentially helpful to public health communicators who are trying to engage the public with the best information to keep them safe during the pandemic.

Public responses to COVID-19 information from the public health office on Twitter and YouTube: implications for research practice

We collected tweets directed at the official Twitter account of the Canadian Public Health Office as well as comments on a Canadian Public Health Office press conference posted to YouTube. We used a mixed method corpus-assisted discourse analysis approach to categorize and analyze these data. We found key differences between comments on each platform, namely differences in tone and sarcasm in YouTube comments, and more balance in Twitter mentions. Findings suggest that studying public responses to health information on one platform in isolation does not provide an accurate picture. To generate a fuller picture of misinformation, researchers should conduct studies across digital platforms using diverse methods. This research could influence how studies of health communication and public opinion are approached in the future. [ABSTRACT FROM AUTHOR] Copyright of Journal of Information Technology & Politics is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The health belief model: How public health can address the misinformation crisis beyond COVID-19.

OBJECTIVES: This paper proposes an intervention into health misinformation that relies upon the health belief model as a means to bridge the risks associated with health misinformation and the impact on individual health, beyond the current recommendations for fact checking and information literacy. STUDY DESIGN: This is a short theoretical paper. METHODS: N/A. RESULTS: N/A. CONCLUSIONS: Misinformation researchers and public health practitioners and communicators can benefit using the infrastructures afforded by public health offices to mobilize the health belief model as a site for misinformation education.