From pandemic to Plandemic: Examining the amplification and attenuation of COVID-19 misinformation on social media.

This study examines the proliferation of COVID-19 misinformation through Plandemic-a pseudo-documentary of COVID-19 conspiracy theories-on social media and examines how factors such as (a) themes of misinformation, (b) types of misinformation, (c) sources of misinformation, (d) emotions of misinformation, and (e) fact-checking labels amplify or attenuate online misinformation during the early days of the pandemic. Using CrowdTangle, a Facebook API, we collected a total of 5732 publicly available Facebook pages posts containing Plandemic-related keywords from January 1 to December 19, 2020. A random sample of 600 posts was subsequently coded, and the data were analyzed using negative binomial regression to examine factors associated with amplification and attenuation. Overall, the extended an extended Social Amplification of Risk Framework (SARF) provided a theoretical lens to understand why certain misinformation was amplified, while others were attenuated. As for posts with misinformation, results showed that themes related to private firms, treatment and prevention of virus transmission, diagnosis and health impacts, virus origins, and social impact were more likely to be amplified. While the different types of misinformation (manipulated, fabricated, or satire) and emotions were not associated with amplification, the type of fact-check labels did influence the virality of misinformation. Specifically, posts that were flagged as false by Facebook were more likely to be amplified, while the virality of posts flagged as containing partially false information was attenuated. Theoretical and practical implications were discussed.

Health-Seeking Behavior and Its Associated Technology Use: Interview Study Among Community-Dwelling Older Adults.

BACKGROUND: Understanding older people's health-seeking behavior (HSB) is crucial for uncovering their health needs and priorities and developing appropriate policies to address them and avert their disease progression. Technologies play an active role in our daily lives and have been incorporated into health activities to support the older population and facilitate their HSB. However, previous studies of HSB have mainly focused on behaviors during illness, and there are limited studies on how technologies have been used in older people's health-seeking activities. OBJECTIVE: This study aimed to investigate HSB and the associated technology use among the older population, ultimately proposing implications for practice to address their unmet health needs. METHODS: This paper presents partial data from a large qualitative study, which has been approved by the institutional review board and used a phenomenological approach. Semistructured interviews were conducted between April 2022 and July 2022, either via Zoom (Zoom Video Communications Inc) or face-to-face sessions. Inclusion criteria were being aged ≥50 years, long-term residence in Singapore, and being able to speak English or Mandarin. The interviews were manually transcribed verbatim, and thematic analysis was performed, with the individual as the unit of analysis to understand the patterns of behaviors. RESULTS: In total, 15 interviews were conducted to reach thematic saturation. We identified 5 main consequences of HSB, which were aligned with the original HSB model. Regarding technology use in health seeking, 4 themes were extracted: the most widely used digital technologies are the mobile health apps and wearable devices with the associated wellness programs launched by the government and local companies, and they have the potential to enhance health communication, promote health maintenance, and increase access to health services; information communication technologies and social media, though not primarily designed for health purposes, play a substantial role in easing the process of seeking health information and managing symptoms. Although the outbreak of the COVID-19 pandemic has resulted in some alterations to older adults' well-being, it has catalyzed the adoption of telehealth as a complement to access health care services, and older adults have different considerations when selecting technologies to facilitate their health seeking and fulfill their health needs. Moreover, 4 archetypes were proposed based on our findings and the insights gained from our participants' observations in their social networks. These findings led to several implications for practice regarding health communication and promotion, health education, technology design and improvement, telemonitoring service implementation, and solutions to address the needs of each proposed archetype. CONCLUSIONS: Unlike the commonly held belief that older adults resist technologies and lack technological proficiency, our findings showed that technologies could play a promising role in facilitating older adults' health seeking. Our findings have implications for the design and implementation of health services and policies.

Examining COVID-19 Tweet Diffusion Using an Integrated Social Amplification of Risk and Issue-Attention Cycle Framework.

Drawing upon the social amplification of risk (SARF) and the issue-attention cycle framework, we examined the amplification of COVID-19 risk-related tweets through (a) topics: key interests of discussion; (b) temperament: emotions of tweets; (c) topography (i.e., location); and (d) temporality (i.e., over time). We computationally analyzed 1,641,273 tweets, and conducted manual content analysis on a subset of 6,000 tweets to identify how topics, temperament, and topography of COVID-19 tweets were associated with risk amplification - retweet and favorite count - using negative binomial regression. We found 11 dominant COVID-19 topics-health impact, economic impact, reports of lockdowns, report of new cases, the need to stay home, coping with COVID-19, news about President Trump, government support, fight with COVID-19 by non-government entities, origins, and preventive measure in our corpus of tweets across the issue-attention cycle. The negative binomial regression results showed that at the pre-problem stage, topics on President Trump, speculation of origins, and initiatives to fight COVID-19 by non-government entities were most likely to be amplified, underscoring the inherent politicization of COVID-19 and erosion of trust in governments from the start of the pandemic. We also found that while tweets with negative emotions were consistently amplified throughout the issue-attention cycle, surprisingly tweets with positive emotions were amplified during the height of the pandemic - this counter-intuitive finding indicated signs of premature and misplaced optimism. Finally, our results showed that the locations of COVID-19 tweet amplification corresponded to the shifting COVID-19 hotspots across different continents across the issue-attention cycle. Theoretical and practical implications of risk amplification on social media are discussed.

Social media may hinder learning about science; social media's role in learning about COVID-19.

Despite widespread concerns that misinformation is rampant on social media, little systematic and empirical research has been conducted on whether and how news consumption via social media affects people's accurate knowledge about COVID-19. Against this background, this study examines the causal effects of social media use on COVID-19 knowledge (i.e., both in the form of factual knowledge and misinformation detection) as well as the underlying mechanisms through which such effects occur. Based on original panel survey data across six weeks (W1 N = 1,363, W2 N = 752) in the U.S., we found that consuming news from social media fostered the perception that one need not actively seek news anymore because it would reach them anyway through their social connections (i.e., "news-finds-me" perception). This, in turn, can make one both uninformed and misinformed about COVID-19 issues. Furthermore, this mediated relationship is stronger among those who experience higher levels of information overload while on social media.

Perceived Information Distortion about COVID-19 Vaccination and Addictive Social Media Use among Social Media Users in Hong Kong: The Moderating Roles of Functional Literacy and Critical Literacy.

During the COVID-19 pandemic, distorted information about the COVID-19 vaccination is widely disseminated through social media. The present study examined the association between perceived information distortion about COVID-19 vaccination on social media, individuals' functional and critical literacy, and addictive social media use (SMU), as well as the moderating roles of functional and critical literacy in the association between perceived information distortion and addictive SMU among social media users in Hong Kong. A web-based, cross-sectional survey was conducted among 411 Chinese citizens from June to August 2021. Findings showed that after adjusting for significant background variables, including age, gender, marital status, education, occupation, and income, functional literacy was negatively associated with addictive SMU. In addition, significant moderation effects of functional literacy and critical literacy were also observed, such that a positive association between perceived information distortion on social media and addictive SMU was significant among participants with lower functional literacy or higher critical literacy. Findings highlight the importance of improving functional literacy in addictive SMU prevention for social media users. Special attention should also be paid to the potential influence of critical literacy on addictive SMUs.

From frequency to fatigue: Exploring the influence of videoconference use on videoconference fatigue in Singapore

The use of videoconferencing platforms has increased drastically as a result of the COVID-19 pandemic. As a result of work-from-home orders, many employees found themselves attending meetings through virtual communication technologies instead of usual face-to-face discussions. As employees spend more time on videoconferencing, there have been increasing concerns of users affected by an occurrence we define as videoconference fatigue (VF). In this study, we explore the link between frequency of videoconferencing and VF. We further explore videoconference users' satisfaction with their internet connection as a moderator of this relationship. We study these in the context of the Technology Acceptance Model (TAM), which provides a framework for us to understand the factors leading to VF. A survey was conducted in Singapore with 1145 respondents who use videoconference apps. Results from structural equation modeling supported a model where perceived ease of use of videoconference apps led to perceived usefulness of these apps, which led to an increased frequency of use. There was a significant relationship between frequency of use and feelings of videoconference fatigue, with this relationship moderated by users’ perceived satisfaction with their internet connection. When usage frequency is low, having a reliable internet connection helps mitigate the impact of use on VF. However, high levels of usage can override the mitigating impact of internet satisfaction. We discuss the implications of these findings, which lend understanding into potential factors that can result in VF.

Uncovering temporal differences in COVID-19 tweets.

In the fight against the COVID-19 pandemic, understanding how the public responds to various initiatives is an important step in assessing current and future policy implementations. In this paper, we analyzed Twitter tweets using topic modeling to uncover the issues surrounding people's discussion of the disease. Our focus was on temporal differences in topics, prior and after the declaration of COVID-19 as a pandemic. Nine topics were identified in our analysis, each of which showed distinct levels of discussion over time. Our results suggest that as the pandemic progresses, the concerns of the public vary as new developments come to light.

We Need the Lens of Equity in COVID-19 Communication.

The ongoing COVID-19 pandemic has brought forward the centrality of public communication as a force for information, and in highlighting the differential impact on diverse segments of the society. Information and communication technologies-led developments including social media have previously been discussed as instruments of democratization of knowledge. However, the evidence so far shows that the promise remains unfulfilled as upper socioeconomic groups acquire information at a faster rate than others. The communication inequalities have only reinforced the existing societal fault lines of race, class and place. As the first pandemic of the social media age, COVID-19 has also given rise to an "infodemic", providing fertile ground for the spread of information, misinformation and disinformation. With limited gatekeeping, an immense amount of unprocessed scientific information is being put forward to publics not trained in science. In this commentary, we offer some propositions on how disinformation on COVID-19 has become mainstreamed through social media's spiral of amplification and what role public communication has in an emergency from a lens of equity. We raise the question of whether the tremendous flow of scientific information during the COVID-19 pandemic has a differential impact on different socioeconomic groups. We propose that more systematic research is urgently needed to understand how mis/disinformation originate, spread and what their consequences are. In our view, research in health communication inequalities is foundational to mitigating the current off-line and online ravages of the pandemic.