Special Section on Comparative Approaches to Mis/Disinformation: Introduction

From misleading news articles around elections in Brazil and the United States to mob lynchings fueled by false social media messages in India to made-up stories about COVID-19 vaccination, a deluge of disinformation and misinformation is affecting various aspects of citizens’ lives around the world. Although there is an increasing number of research papers dealing with disinformation or misinformation, a majority of these have focused on the United States. This Special Section on comparative approaches to mis/disinformation features conceptual and data-informed articles with international and global perspectives on the prevalence, impact, and diffusion of mis/disinformation in different countries. Articles selected for the Special Section provide new theoretical and empirical contributions to existing bodies of knowledge whether focusing on one country or offering comparative perspectives involving multiple countries. The articles, individually and collectively, offer important scholarly and policy implications for studying and combating mis/disinformation around the world

Topical Mining of malaria Using Social Media. A Text Mining Approach

Malaria is a life-threatening parasitic disease, common in subtropical and tropical climates caused by mosquitoes. Each year, several hundred thousand of people die from malaria infections. However, with the rapid growth, popularity and global reach of social media usage, a myriad of opportunities arises for extracting opinions and discourses on various topics and issues. This research examines the public discourse, trends and emergent themes surrounding malaria discussion. We query Twitter corpus leveraging text mining algorithms to extract and analyze topical themes. Further, to investigate these dynamics, we use Crimson social media analytics software to analyze topical emergent themes and monitor malaria trends. The findings reveal the discovery of pertinent topics and themes regarding malaria discourses. The implications include shedding insights to public health officials on sentiments and opinions shaping public discourse on malaria epidemic. The multi-dimensional analysis of data provides directions for future research and informs public policy decisions

Determinants of Infodemics During Disease Outbreaks: A Systematic Review

Background: The widespread use of social media represents an unprecedented opportunity for health promotion. We have more information and evidence-based health related knowledge, for instance about healthy habits or possible risk behaviors. However, these tools also carry some disadvantages since they also open the door to new social and health risks, in particular during health emergencies. This systematic review aims to study the determinants of infodemics during disease outbreaks, drawing on both quantitative and qualitative methods. Methods: We searched research articles in PubMed, Scopus, Medline, Embase, CINAHL, Sociological abstracts, Cochrane Library, and Web of Science. Additional research works were included by searching bibliographies of electronically retrieved review articles. Results: Finally, 42 studies were included in the review. Five determinants of infodemics were identified: (1) information sources; (2) online communities' structure and consensus; (3) communication channels (i.e., mass media, social media, forums, and websites); (4) messages content (i.e., quality of information, sensationalism, etc.,); and (5) context (e.g., social consensus, health emergencies, public opinion, etc.). Studied selected in this systematic review identified different measures to combat misinformation during outbreaks. Conclusion: The clarity of the health promotion messages has been proven essential to prevent the spread of a particular disease and to avoid potential risks, but it is also fundamental to understand the network structure of social media platforms and the emergency context where misinformation might dynamically evolve. Therefore, in order to prevent future infodemics, special attention will need to be paid both to increase the visibility of evidence-based knowledge generated by health organizations and academia, and to detect the possible sources of mis/disinformation

Determinants of Infodemics During Disease Outbreaks: A Systematic Review

Background: The widespread use of social media represents an unprecedented opportunity for health promotion. We have more information and evidence-based health related knowledge, for instance about healthy habits or possible risk behaviors. However, these tools also carry some disadvantages since they also open the door to new social and health risks, in particular during health emergencies. This systematic review aims to study the determinants of infodemics during disease outbreaks, drawing on both quantitative and qualitative methods. Methods: We searched research articles in PubMed, Scopus, Medline, Embase, CINAHL, Sociological abstracts, Cochrane Library, and Web of Science. Additional research works were included by searching bibliographies of electronically retrieved review articles. Results: Finally, 42 studies were included in the review. Five determinants of infodemics were identified: (1) information sources; (2) online communities' structure and consensus; (3) communication channels (i.e., mass media, social media, forums, and websites); (4) messages content (i.e., quality of information, sensationalism, etc.,); and (5) context (e.g., social consensus, health emergencies, public opinion, etc.). Studied selected in this systematic review identified different measures to combat misinformation during outbreaks. Conclusion: The clarity of the health promotion messages has been proven essential to prevent the spread of a particular disease and to avoid potential risks, but it is also fundamental to understand the network structure of social media platforms and the emergency context where misinformation might dynamically evolve. Therefore, in order to prevent future infodemics, special attention will need to be paid both to increase the visibility of evidence-based knowledge generated by health organizations and academia, and to detect the possible sources of mis/disinformation.JA-G was subsidized by the Ramon & Cajal research programme operated by the Ministry of Economy and Business (RYC-2016-19353), and the European Social Fund

#Zika #Olympics: The use of dialogue in tweets regarding the Zika virus and the 2016 Rio Olympics

Previous research has observed the use of social media by health organizations; however, few studies have addressed how health organizations use these media to build relationships with publics. This thesis addresses this gap by applying Kent and Taylor’s (2002) dialogic tenets to Twitter messages regarding the 2015-2016 Zika virus epidemic and the 2016 Rio Olympics. First a pilot study used a quantitative survey to find that individuals were using online media to seek information about Zika, and that the public generally had high threat salience toward the virus. Next, social network analyzer Netlytic was used to collect Tweets that mentioned both “Zika” and “Olympics” between August 5th and August 7th, 2016, during the Olympic Games. Data analysis and a qualitative content analysis found that health organizations were not engaged in the conversations regarding Zika during the Olympics on Twitter, and did not effectively employ the tenets of dialogue. Health organizations can potentially raise their level of dialogue with publics by interacting more with users on the Twitter platform. This thesis extends the literature surrounding dialogic theory, social media use, and health communication practices of public health organizations

When Infodemic Meets Epidemic: a Systematic Literature Review

Epidemics and outbreaks present arduous challenges requiring both individual and communal efforts. Social media offer significant amounts of data that can be leveraged for bio-surveillance. They also provide a platform to quickly and efficiently reach a sizeable percentage of the population, hence their potential impact on various aspects of epidemic mitigation. The general objective of this systematic literature review is to provide a methodical overview of the integration of social media in different epidemic-related contexts. Three research questions were conceptualized for this review, resulting in over 10000 publications collected in the first PRISMA stage, 129 of which were selected for inclusion. A thematic method-oriented synthesis was undertaken and identified 5 main themes related to social media enabled epidemic surveillance, misinformation management, and mental health. Findings uncover a need for more robust applications of the lessons learned from epidemic post-mortem documentation. A vast gap exists between retrospective analysis of epidemic management and result integration in prospective studies. Harnessing the full potential of social media in epidemic related tasks requires streamlining the results of epidemic forecasting, public opinion understanding and misinformation propagation, all while keeping abreast of potential mental health implications. Pro-active prevention has thus become vital for epidemic curtailment and containment

“Tweeting During Emergencies”: The Egyptian Ministry of Health Twitter Communication Strategy Under the Umbrella of the Crisis and Emergency Risk Communication Model (CERC) CASE STUDY: COVID-19 Pandemic

This research investigates using the Crisis and Emergency Risk Communication Model (CERC) for COVID- 19 communication by analyzing the content of Twitter messages posted by the Government of Egypt through the Egyptian Ministry of Health (MOHP). It further examines how official communicators and institutions utilize social media to contact the public during emergencies like the COVID-19 pandemic, highlighting critical strategies of recommendations. Crisis and Emergency Risk Communication (CERC), a five-staged theory, recommends a set of messaging and pertained communication characteristics to implement at each stage of the identified following stages: (1) “Pre-crisis, (2) Initial event, (3) Maintenance, (4) Resolution, and (5) Evaluation”. The Egyptian Ministry of Health succeeded in applying most, if not all, of the recommended messaging and communication characteristics with varying frequency levels; however, it did not comply with the recommended order of stages while applying these characteristics. Throughout the study, the MOHP’s tweets achieved each CERC principle. Like the CERC characteristics, all CERC principles were also achieved at varying frequency levels. This study also showed different levels of engagement with different CERC characteristics

Framing and visual type: Effect on future Zika vaccine uptake intent

Introduction: The Zika virus is associated with the birth defect microcephaly, and while a vaccine was not available in early- 2017, several were under development. This study’s purpose was to identify effective communication strategies to promote uptake of a new vaccine, particularly among women of reproductive age.Design and methods: In order to study the effects of Zika message framing (gain vs. loss) and visual type (photo vs. infographic) on future Zika vaccine uptake intent, a 2×2 between-subjects experiment was performed via an online survey in 2017 among 339 U.S. women of reproductive age (18-49 years). Participants were exposed to one of four messages, all resembling Instagram posts: gain-framed vs. loss-framed infographic, and gain-framed vs. loss-framed photo. These messages were followed by questions about Zika vaccine uptake intent as well as intermediate psychosocial variables that could lead to intent. Results: There was no interaction between framing and visual type (P=0.116), and there was no effect for framing (P=0.185) or visual type (P=0.724) on future Zika vaccine uptake intent, which is likely indicative of insufficient dosage of the intervention. However, when focusing on intermediate psychosocial constructs that are known to influence behavior and intent, gain-framed messages were more effective in increasing subjective norms (P=0.005) as related to a future Zika vaccine, as well as perceived benefits (P=0.016) and self-efficacy (P=0.032). Conclusions: Gain-framed messages seem to be more effective than loss-framed messages to increase several constructs that could, in turn, affect future Zika vaccine uptake intent. This is a novel finding since, traditionally, loss-framed messages are considered more beneficial in promoting vaccine-related health behaviors