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Journal articles on the topic 'Public misinformation'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Vijayan, Vijesh, Temin Thomas, and Princy D. Nellanat. "Mapping fake news and misinformation in media: A two-decade bibliometric review of emerging trends." Insight - News Media 8, no. 1 (2025): 734. https://doi.org/10.18282/inm734.

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The rapid proliferation of fake news and misinformation poses significant challenges to media trust, public decision-making, and societal cohesion in the digital age. This study employs a bibliometric analysis to systematically map the scholarly landscape surrounding fake news and misinformation across media platforms, focusing on social media’s pivotal role in shaping public perception and trust. Utilizing data from the Scopus database, the study analyzes 560 documents published between 2005 and 2025, uncovering trends in annual scientific production, leading sources, author contributions, an

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Yvonne Oshevwe Okoro, Oluwatoyin Ayo-Farai, Chinedu Paschal Maduka, Chiamaka Chinaemelum Okongwu, and Olamide Tolulope Sodamade. "A REVIEW OF HEALTH MISINFORMATION ON DIGITAL PLATFORMS: CHALLENGES AND COUNTERMEASURES." International Journal of Applied Research in Social Sciences 6, no. 1 (2024): 23–36. http://dx.doi.org/10.51594/ijarss.v6i1.689.

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Health misinformation on digital platforms is a growing global concern, influencing individual health decisions, public health outcomes, and trust in healthcare systems. This review explores health misinformation's types, sources, and challenges, highlighting its diverse manifestations and societal impact. Countermeasures encompass regulatory frameworks, ethical content moderation, and digital literacy initiatives. Future directions emphasize interdisciplinary collaboration, leveraging artificial intelligence, and tailoring interventions for diverse audiences. As we confront the evolving lands

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Vogel, Lauren. "Viral misinformation threatens public health." Canadian Medical Association Journal 189, no. 50 (2017): E1567. http://dx.doi.org/10.1503/cmaj.109-5536.

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Genovese, Frank C. "Management Lamentations Provide Public Misinformation." American Journal of Economics and Sociology 51, no. 1 (1992): 85–86. http://dx.doi.org/10.1111/j.1536-7150.1992.tb02510.x.

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Goldstein, Neal D. "Misinformation." American Journal of Public Health 111, no. 2 (2021): e3-e4. http://dx.doi.org/10.2105/ajph.2020.306056.

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6

Brulle, Robert J., and J. Timmons Roberts. "Climate Misinformation Campaigns and Public Sociology." Contexts 16, no. 1 (2017): 78–79. http://dx.doi.org/10.1177/1536504217696081.

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Scholars share their experiences in bringing sociological analysis to the Senate floor in "Web of Denial" speeches rebutting climate change skeptics and revealing how echo chambers and network effects stifle the spread of scientific knowledge.

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Choi, Sera, Ashley A. Anderson, Shelby Cagle, Marilee Long, and Nicole Kelp. "Scientists’ deficit perception of the public impedes their behavioral intentions to correct misinformation." PLOS ONE 18, no. 8 (2023): e0287870. http://dx.doi.org/10.1371/journal.pone.0287870.

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This paper investigates the relationship between scientists’ communication experience and attitudes towards misinformation and their intention to correct misinformation. Specifically, the study focuses on two correction strategies: source-based correction and relational approaches. Source-based approaches combatting misinformation prioritize sharing accurate information from trustworthy sources to encourage audiences to trust reliable information over false information. On the other hand, relational approaches give priority to developing relationships or promoting dialogue as a means of addres

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Rodgers, Kimberly, and Nnandi Massac. "Misinformation." Journal of Public Health Management and Practice 26, no. 3 (2020): 294–96. http://dx.doi.org/10.1097/phh.0000000000001163.

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Ademola Adegboyega, Segun, Adekeye Emmanuel Toba, and Alade Moyosore Omowonuola. "Public Awareness of the Implications of AI in the Proliferation of Disinformation on Public Safety and Nigeria’s National Security." AKSU Journal of Administration and Corporate Governance 5, no. 2 (2025): 91–102. https://doi.org/10.61090/aksujacog.2025.016.

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The study examined public awareness of the effects of AI-proliferated misinformation on national security and public safety in Nigeria. Agenda Setting Theory served as the study’s foundation. Both primary and secondary sources provided data. Questionnaires were used to survey samples of 385 respondents who live in the Federal Capital Territory (FCT) in Abuja. Data were analysed using descriptive and inferential statistics. The results of the study demonstrated that the emergence and domination of information and communication technology, especially social media, in the information environment

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Bonnevie, Erika, Jennifer Sittig, and Joe Smyser. "The case for tracking misinformation the way we track disease." Big Data & Society 8, no. 1 (2021): 205395172110138. http://dx.doi.org/10.1177/20539517211013867.

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While public health organizations can detect disease spread, few can monitor and respond to real-time misinformation. Misinformation risks the public’s health, the credibility of institutions, and the safety of experts and front-line workers. Big Data, and specifically publicly available media data, can play a significant role in understanding and responding to misinformation. The Public Good Projects uses supervised machine learning to aggregate and code millions of conversations relating to vaccines and the COVID-19 pandemic broadly, in real-time. Public health researchers supervise this pro

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11

Pang, Natalie, and Joshua Ng. "Misinformation in a riot: a two-step flow view." Online Information Review 41, no. 4 (2017): 438–53. http://dx.doi.org/10.1108/oir-09-2015-0297.

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Purpose Misinformation can have lasting impacts in the management and control of a public emergency. The purpose of this paper is to demonstrate how misinformation flows and how user characteristics can shape such flows in the context of a violent riot in Singapore. Design/methodology/approach The authors apply the two-step flow theory and discuss the mixed methods approach involving wrangling Twitter data and descriptive analysis to develop and analyse two corpuses of misinformation related to the riot. Findings The findings are mostly consistent with the two-step flow theory, in that misinfo

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Sathianathan, Sharmila, Adliah Mhd Ali, and Wei Wen Chong. "How the General Public Navigates Health Misinformation on Social Media: Qualitative Study of Identification and Response Approaches." JMIR Infodemiology 5 (June 24, 2025): e67464. https://doi.org/10.2196/67464.

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Background Social media is widely used by the general public as a source of health information because of its convenience. However, the increasing prevalence of health misinformation on social media is becoming a serious concern, and it remains unclear how the general public identifies and responds to it. Objective This study aims to explore the approaches used by the general public for identifying and responding to health misinformation on social media. Methods Semistructured interviews were conducted with 22 respondents from the Malaysian general public. The theory of motivated information m

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13

Thapa Magar, Neelam, Binay Jung Thapa, and Yanan Li. "Climate Change Misinformation in the United States: An Actor–Network Analysis." Journalism and Media 5, no. 2 (2024): 595–613. http://dx.doi.org/10.3390/journalmedia5020040.

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Climate change misinformation refers to inaccurate, incomplete, or misleading climate change-related information created and spread in the public domain. Despite substantial consensus among the scientific community on the reality of anthropogenic climate change, public opinion still remains divided. Combating the climate crisis requires immediate and meaningful actions; however, various actors generate and propagate climate change misinformation, with vested interests in sowing doubts in the public sphere about the reality and urgency of climate impacts. The United States of America, where pub

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14

Stewart, Ruth, Andile Madonsela, Nkululeko Tshabalala, Linda Etale, and Nicola Theunissen. "The importance of social media users’ responses in tackling digital COVID-19 misinformation in Africa." DIGITAL HEALTH 8 (January 2022): 205520762210850. http://dx.doi.org/10.1177/20552076221085070.

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Objective Digital technologies present both an opportunity and a threat for advancing public health. At a time of pandemic, social media has become a tool for the rapid spread of misinformation. Mitigating the impacts of misinformation is particularly acute across Africa, where WhatsApp and other forms of social media dominate, and where the dual threats of misinformation and COVID-19 threaten lives and livelihoods. Given the scale of the problem within Africa, we set out to understand (i) the potential harm that misinformation causes, (ii) the available evidence on how to mitigate that misinf

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Greyson, Devon, Morgan Lundy, Sophie Rutter, and David Walugembe. "Health Misinformation Research." Proceedings of the Association for Information Science and Technology 61, no. 1 (2024): 758–61. http://dx.doi.org/10.1002/pra2.1095.

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ABSTRACTHealth misinformation research has dramatically increased since the start of the COVID‐19 pandemic, although not all of this work has taken advantage of the rich theoretical and methodological background information science as a discipline has to contribute. This panel presentation will feature information scientists conducting health misinformation research from and in various settings, to showcase the value and range of information science approaches to health misinformation research. Each panelist will describe their work in the area of understanding and/or addressing health misinfo

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Luo, Han, Meng Cai, and Ying Cui. "Spread of Misinformation in Social Networks: Analysis Based on Weibo Tweets." Security and Communication Networks 2021 (December 16, 2021): 1–23. http://dx.doi.org/10.1155/2021/7999760.

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Social networks are filled with a large amount of misinformation, which often misleads the public to make wrong decisions, stimulates negative public emotions, and poses serious threats to public safety and social order. The spread of misinformation in social networks has also become a widespread concern among scholars. In the study, we took the misinformation spread on social media as the research object and compared it with true information to better understand the characteristics of the spread of misinformation in social networks. This study adopts a deep learning method to perform content

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Huey, Laura. "Implications of Misinformation for Public Order Policing." Journal of Intelligence, Conflict, and Warfare 5, no. 2 (2022): 204–8. http://dx.doi.org/10.21810/jicw.v5i2.5071.

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On September 8th, 2022, Dr. Laura Huey, a professor of Sociology at the University of Western Ontario, presented on The Implications of Misinformation for Public Order Policing. The presentation was followed by a question-and-answer period with questions from the audience and CASIS-Vancouver executives. The key points discussed in Dr. Huey’s presentation highlighted the risks and effects of misinformation around policing and how they can quickly spiral globally and have harmful effects on the police force’s reputation and police officers.

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Su, Ziyi, and Ephraim Agyingi. "Modeling the Impact of Misinformation on the Transmission Dynamics of COVID-19." AppliedMath 4, no. 2 (2024): 544–60. http://dx.doi.org/10.3390/appliedmath4020029.

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The threat posed by the COVID-19 pandemic has been accompanied by an epidemic of misinformation, causing confusion and mistrust among the public. Misinformation about COVID-19 whether intentional or unintentional takes many forms, including conspiracy theories, false treatments, and inaccurate information about the origins and spread of the virus. Though the pandemic has brought to light the significant impact of misinformation on public health, mathematical modeling emerged as a valuable tool for understanding the spread of COVID-19 and the impact of public health interventions. However, ther

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Scheufele, Dietram A., Andrew J. Hoffman, Liz Neeley, and Czerne M. Reid. "Misinformation about science in the public sphere." Proceedings of the National Academy of Sciences 118, no. 15 (2021): e2104068118. http://dx.doi.org/10.1073/pnas.2104068118.

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Johnson, Karen S., and Dan Nimmo. "Commentary: Reporting Political Polling: Avoiding Public ‘Misinformation’." Newspaper Research Journal 7, no. 3 (1986): 69–76. http://dx.doi.org/10.1177/073953298600700308.

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21

Cacciatore, Michael A. "Misinformation and public opinion of science and health: Approaches, findings, and future directions." Proceedings of the National Academy of Sciences 118, no. 15 (2021): e1912437117. http://dx.doi.org/10.1073/pnas.1912437117.

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A summary of the public opinion research on misinformation in the realm of science/health reveals inconsistencies in how the term has been defined and operationalized. A diverse set of methodologies have been employed to study the phenomenon, with virtually all such work identifying misinformation as a cause for concern. While studies completely eliminating misinformation impacts on public opinion are rare, choices around the packaging and delivery of correcting information have shown promise for lessening misinformation effects. Despite a growing number of studies on the topic, there remain m

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22

Southwell, Brian G., J. Scott Babwah Brennen, Ryan Paquin, Vanessa Boudewyns, and Jing Zeng. "Defining and Measuring Scientific Misinformation." ANNALS of the American Academy of Political and Social Science 700, no. 1 (2022): 98–111. http://dx.doi.org/10.1177/00027162221084709.

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We define scientific misinformation as publicly available information that is misleading or deceptive relative to the best available scientific evidence and that runs contrary to statements by actors or institutions who adhere to scientific principles. Scientific misinformation violates the supposition that claims should be based on scientific evidence and relevant expertise. As such, misinformation is observable and measurable, but research on scientific misinformation to date has often missed opportunities to clearly articulate units of analysis, to consult with experts, and to look beyond c

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Alkhair, Khairul Hafidz, Muhammad Hafiz Yusof, Mohd Faiz Itam, Zul Aizat Mohamad Fisal, Mohd Hamzi Mohd Yatim, and Rosliza Abdul Manaf. "Analysing Public Health Impact of Misinformation During COVID-19 Pandemic using the Socio-Ecological Model: A Systematic Review." JANUARY 2023 19, no. 1 (2023): 242–53. http://dx.doi.org/10.47836/mjmhs.19.1.32.

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Introduction: Social media and Internet use during disasters have been proven to be useful tools in helping public health agencies to respond to pandemics. However, this tool can also be the culprit in the spread of misinformation to the public. This study aims to identify the public health impact of misinformation during the COVID-19 pandemic using the socio-ecological model. Methods: A systematic review guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines was initially undertaken by searching relevant articles published from January to November

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Luo, Yunjuan, and Yang Cheng. "The Presumed Influence of COVID-19 Misinformation on Social Media: Survey Research from Two Countries in the Global Health Crisis." International Journal of Environmental Research and Public Health 18, no. 11 (2021): 5505. http://dx.doi.org/10.3390/ijerph18115505.

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While the coronavirus 2019 (COVID-19) pandemic is spreading all over the world, misinformation, without prudent journalistic judgments of media content online, has begun circulating rapidly and influencing public opinion on social media. This quantitative study intends to advance the previous misinformation research by proposing and examining a theoretical model following an “influence of presumed influence” perspective. Two survey studies were conducted on participants located in the United States (N = 1793) and China (N = 504), respectively, to test the applicability of the influence of pres

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Devi, Kavita, and Palwinder Singh. "Truth in the Age of Clickbait: A Review of Social Media Misinformation Through Case Studies." Journal of Communication and Management 4, no. 02 (2025): 32–40. https://doi.org/10.58966/jcm2025424.

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The rapid dissemination of misinformation through social media platforms has profound implications for public health, particularly in the context of health-related information. Platforms such as Facebook, Instagram, YouTube, TikTok, and WhatsApp serve as critical channels for public health communication, fostering awareness and interaction between health authorities and the public. However, these platforms have also emerged as significant conduits for misinformation, contributing to adverse public health outcomes. This study employs a qualitative case study methodology to investigate the sprea

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I*, Cabelkova. "Understanding Public Perception of Genetically Modified Food: Navigating Misinformation and Trust." Food Science & Nutrition Technology 9, no. 3 (2024): 1–5. https://doi.org/10.23880/fsnt-16000354.

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Genetically modified (GM) foods have been at the center of global debate, resulting in diverse public perceptions and regulatory responses. Proponents argue that GM foods are crucial for addressing food security and climate change challenges, highlighting their potential to increase crop yields, enhance nutritional quality, and reduce the environmental impact of agriculture. However, skepticism persists, driven by concerns about potential health risks, environmental effects, and ethical implications. Despite a scientific consensus affirming the safety of GM foods, factors such as cultural valu

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Osterhage, Jennifer L., and Katherine Rogers-Carpenter. "Combatting Misinformation through Science Communication Training." American Biology Teacher 84, no. 7 (2022): 390–95. http://dx.doi.org/10.1525/abt.2022.84.7.390.

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As the dual crises of the ongoing COVID-19 pandemic and worsening climate change show, the public must be accurately informed about science. However, many barriers hinder effective messaging about science to the public, including little formal communication training for scientists and an abundance of misleading information from nonscientific sources. Being able to communicate with the public is a vital skill that should be a formal component of scientific training. Here, we synthesize the rationale for incorporating public science communication into undergraduate biology programs and provide s

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Jin young Hwang. "Misinformation and public trust: Investigating the role of media literacy in combating fake news in the digital age." International Journal of Science and Research Archive 15, no. 1 (2024): 1263–72. https://doi.org/10.30574/ijsra.2025.15.1.1177.

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This study investigates the critical role of media literacy in combating misinformation and restoring public trust in the digital age. Through a comprehensive review of existing literature and mixed-methods research, the study explores how misinformation proliferates on digital platforms, its impact on public trust, and the effectiveness of media literacy interventions. Key findings reveal that misinformation, fueled by algorithmic biases and echo chambers, significantly erodes trust in media, particularly in political and public health contexts. Media literacy emerges as a vital tool, equippi

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Ahmed Asiri, Abdulrahman, Wael Saeed Alharbi, Jehan Hamod Alhazmi, Abdalmjeed Hadram Alsahli, Moataz Ali Bajaber, and Alaa Mohammed Essawi. "Social Media and the Spread of Medical Misinformation Ethical Responsibilities of Healthcare Providers." JOURNAL OF HEALTHCARE SCIENCES 04, no. 12 (2024): 925–30. https://doi.org/10.52533/johs.2024.41236.

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Medical misinformation on social media has emerged as a critical challenge for public health, undermining trust in healthcare systems and promoting harmful practices. The rapid spread of unverified health information is fueled by social media algorithms prioritizing engagement over accuracy, creating echo chambers that reinforce misinformation. This phenomenon poses significant ethical dilemmas for healthcare providers, who must balance their responsibility to correct false claims with maintaining professional integrity and patient trust. Engaging with misinformation requires careful navigatio

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Roozenbeek, Jon, Claudia R. Schneider, Sarah Dryhurst, et al. "Susceptibility to misinformation about COVID-19 around the world." Royal Society Open Science 7, no. 10 (2020): 201199. http://dx.doi.org/10.1098/rsos.201199.

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Misinformation about COVID-19 is a major threat to public health. Using five national samples from the UK ( n = 1050 and n = 1150), Ireland ( n = 700), the USA ( n = 700), Spain ( n = 700) and Mexico ( n = 700), we examine predictors of belief in the most common statements about the virus that contain misinformation. We also investigate the prevalence of belief in COVID-19 misinformation across different countries and the role of belief in such misinformation in predicting relevant health behaviours. We find that while public belief in misinformation about COVID-19 is not particularly common,

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Medeiros, Ben, and Pawan Singh. "Addressing Misinformation on Whatsapp in India Through Intermediary Liability Policy, Platform Design Modification, and Media Literacy." Journal of Information Policy 10, no. 1 (2020): 276–98. http://dx.doi.org/10.5325/jinfopoli.10.1.0276.

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Abstract Through a case study of lynchings in India that are perceived to have been catalyzed by misinformation on WhatsApp, this article explores how policymakers can mitigate social media misinformation without compromising public discourse. We evaluate the costs and benefits of three approaches to managing misinformation: intermediary liability reform, changes to platform design, and public information endeavors addressing user attitudes and behaviors. We find that while current media literacy endeavors seem somewhat misdirected, more locally attuned initiatives might productively address t

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Erokhin, Dmitry. "Public Discourse Surrounding the 2025 California Wildfires: A Sentiment and Topic Analysis of High-Engagement YouTube Comments." Geosciences 15, no. 3 (2025): 100. https://doi.org/10.3390/geosciences15030100.

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This study explores public discourse surrounding the January 2025 California wildfires by analyzing high-engagement YouTube comments. Leveraging sentiment analysis, misinformation detection, and topic modeling, this research identifies dominant emotional tones, thematic patterns, and the prevalence of misinformation in discussions. The results show a predominantly neutral to positive sentiment, with notable emotional intensity in misinformation-related comments, which were rare but impactful. The thematic analysis highlights concerns about governance, environmental issues, and conspiracy theor

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Pagoto, Sherry L., Lindsay Palmer, and Nate Horwitz-Willis. "The Next Infodemic: Abortion Misinformation." Journal of Medical Internet Research 25 (May 4, 2023): e42582. http://dx.doi.org/10.2196/42582.

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The World Health Organization (WHO) defines an infodemic as the proliferation of false or misleading information that leads to confusion, mistrust in health authorities, and the rejection of public health recommendations. The devastating impacts of an infodemic on public health were felt during the COVID-19 pandemic. We are now on the precipice of another infodemic, this one regarding abortion. On June 24, 2022, the Supreme Court of the United States (SCOTUS) decision in Dobbs v. Jackson Women’s Health Organization resulted in the reversal of Roe v. Wade, which had protected a woman’s right to

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Pope, Johanna, Paula Byrne, Declan Devane, Tina D. Purnat, and Maura Dowling. "Health misinformation: protocol for a hybrid concept analysis and development." HRB Open Research 5 (November 1, 2022): 70. http://dx.doi.org/10.12688/hrbopenres.13641.1.

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Background: Misinformation represents a serious and growing concern in public health; and has attracted much interest from researchers, media, and the public over recent years. Despite increased concern about the impacts of misinformation on health and wellbeing, however, the concept of health misinformation remains underdeveloped. In particular, there is a need to clarify how certain types of health information come to be designated as “misinformation,” what characteristics are associated with this classification, and how the concept of misinformation is applied in public health interventions

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Aneela Khalid. "Influence of Health Misinformation on Vaccine Hesitancy: Mediated By Health Literacy." Critical Review of Social Sciences Studies 3, no. 1 (2025): 3483–94. https://doi.org/10.59075/x1k4xv95.

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Vaccine hesitancy remains a substantial population health challenge, largely driven amid the swift dissemination of health disinformation. Digital and virtual media platforms amplify misleading narratives, shaping public attitudes and fostering distrust in vaccines. This study explores the mediatory function of health education in the association between health-related misinformation and vaccine hesitancy. Findings from a sample of 300 participants reveal that exposure to misinformation substantially increases vaccine hesitancy, with health literacy playing a partial mediating role. People wit

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Lee, Jung Jae, Kyung-Ah Kang, Man Ping Wang, et al. "Associations Between COVID-19 Misinformation Exposure and Belief With COVID-19 Knowledge and Preventive Behaviors: Cross-Sectional Online Study." Journal of Medical Internet Research 22, no. 11 (2020): e22205. http://dx.doi.org/10.2196/22205.

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Background Online misinformation proliferation during the COVID-19 pandemic has become a major public health concern. Objective We aimed to assess the prevalence of COVID-19 misinformation exposure and beliefs, associated factors including psychological distress with misinformation exposure, and the associations between COVID-19 knowledge and number of preventive behaviors. Methods A cross-sectional online survey was conducted with 1049 South Korean adults in April 2020. Respondents were asked about receiving COVID-19 misinformation using 12 items identified by the World Health Organization. L

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Ghosh, Shreya, Prasenjit Mitra, and Preslav Nakov. "Clock against Chaos: Dynamic Assessment and Temporal Intervention in Reducing Misinformation Propagation." Proceedings of the International AAAI Conference on Web and Social Media 18 (May 28, 2024): 462–73. http://dx.doi.org/10.1609/icwsm.v18i1.31327.

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As social networks become the primary sources of information, the rise of misinformation poses a significant threat to the information ecosystem. Here, we address this challenge by proposing a dynamic system for real-time evaluation and assignment of misinformation scores to tweets, which can support the ongoing efforts to counteract the impact of misinformation public health, public opinion, and society. We use a unique combination of Temporal Graph Network (TGN) and Recurrent Neural Networks (RNNs) to capture both structural and temporal characteristics of misinformation propagation. We furt

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Kozyreva, Anastasia, Laura Smillie, and Stephan Lewandowsky. "Incorporating Psychological Science Into Policy Making." European Psychologist 28, no. 3 (2023): 206–24. http://dx.doi.org/10.1027/1016-9040/a000493.

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Abstract: The spread of false and misleading information in online social networks is a global problem in need of urgent solutions. It is also a policy problem because misinformation can harm both the public and democracies. To address the spread of misinformation, policymakers require a successful interface between science and policy, as well as a range of evidence-based solutions that respect fundamental rights while efficiently mitigating the harms of misinformation online. In this article, we discuss how regulatory and nonregulatory instruments can be informed by scientific research and us

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Jia, Liu. "Characteristics, Impacts, and Governance Strategies of Internet Misinformation Dissemination in the Era of Large Models." Journal of New Media and Economics 1, no. 6 (2024): 42–49. https://doi.org/10.62517/jnme.202410608.

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The dissemination of internet misinformation has become a global challenge in the era of large models. This study explores the characteristics, impacts, and governance strategies of misinformation, focusing on the role and unique features of large model technologies in generating and spreading false information. Through a combination of literature review, theoretical modeling, and empirical data analysis, the study systematically examines the mechanisms and socio-psychological roots of misinformation dissemination and develops a theoretical framework for the role of large models in this proces

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Malone, Ruth E., and Cheryl G. Healton. "MISINFORMATION ABOUT TOBACCO." American Journal of Public Health 100, no. 1 (2010): 6. http://dx.doi.org/10.2105/ajph.2009.180711.

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Chen, Kaiping, Yepeng Jin, and Anqi Shao. "Science Factionalism: How Group Identity Language Affects Public Engagement With Misinformation and Debunking Narratives on a Popular Q&A Platform in China." Social Media + Society 8, no. 1 (2022): 205630512210770. http://dx.doi.org/10.1177/20563051221077019.

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Misinformation and intergroup bias are two pathologies challenging informed citizenship. This article examines how identity language is used in misinformation and debunking messages about controversial science on the Chinese digital public spheres and their impact on how the public engage with science. We collected an 8-year time series dataset of public discussion ( N = 6,039) on one of the most controversial science issues in China (GMO) from a popular Q&A platform, Zhihu. We found that both misinformation and debunking messages use a substantial amount of group identity languages when d

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Swire-Thompson, Briony, and David Lazer. "Public Health and Online Misinformation: Challenges and Recommendations." Annual Review of Public Health 41, no. 1 (2020): 433–51. http://dx.doi.org/10.1146/annurev-publhealth-040119-094127.

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The internet has become a popular resource to learn about health and to investigate one's own health condition. However, given the large amount of inaccurate information online, people can easily become misinformed. Individuals have always obtained information from outside the formal health care system, so how has the internet changed people's engagement with health information? This review explores how individuals interact with health misinformation online, whether it be through search, user-generated content, or mobile apps. We discuss whether personal access to information is helping or hin

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Southwell, Brian G., Jeff Niederdeppe, Joseph N. Cappella, et al. "Misinformation as a Misunderstood Challenge to Public Health." American Journal of Preventive Medicine 57, no. 2 (2019): 282–85. http://dx.doi.org/10.1016/j.amepre.2019.03.009.

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van der Linden, Sander, Anthony Leiserowitz, Seth Rosenthal, and Edward Maibach. "Inoculating the Public against Misinformation about Climate Change." Global Challenges 1, no. 2 (2017): 1600008. http://dx.doi.org/10.1002/gch2.201600008.

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Lovari, Alessandro. "Spreading (Dis)Trust: Covid-19 Misinformation and Government Intervention in Italy." Media and Communication 8, no. 2 (2020): 458–61. http://dx.doi.org/10.17645/mac.v8i2.3219.

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The commentary focuses on the spread of Covid-19 misinformation in Italy, highlighting the dynamics that have impacted on its pandemic communication. Italy has recently been affected by a progressive erosion of trust in public institutions and a general state of information crisis regarding matters of health and science. In this context, the politicization of health issues and a growing use of social media to confront the Coronavirus “infodemic” have led the Italian Ministry of Health to play a strategic role in using its official Facebook page to mitigate the spread of misinformation and to o

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Stevens, Hannah, and Nicholas A. Palomares. "Constituents’ Inferences of Local Governments’ Goals and the Relationship Between Political Party and Belief in COVID-19 Misinformation: Cross-sectional Survey of Twitter Followers of State Public Health Departments." JMIR Infodemiology 2, no. 1 (2022): e29246. http://dx.doi.org/10.2196/29246.

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Background Amid the COVID-19 pandemic, social media have influenced the circulation of health information. Public health agencies often use Twitter to disseminate and amplify the propagation of such information. Still, exposure to local government–endorsed COVID-19 public health information does not make one immune to believing misinformation. Moreover, not all health information on Twitter is accurate, and some users may believe misinformation and disinformation just as much as those who endorse more accurate information. This situation is complicated, given that elected officials may pursue

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Sule, Sahana, Marisa C. DaCosta, Erin DeCou, Charlotte Gilson, Kate Wallace, and Sarah L. Goff. "Communication of COVID-19 Misinformation on Social Media by Physicians in the US." JAMA Network Open 6, no. 8 (2023): e2328928. http://dx.doi.org/10.1001/jamanetworkopen.2023.28928.

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ImportanceApproximately one-third of the more than 1 100 000 confirmed COVID-19–related deaths as of January 18, 2023, were considered preventable if public health recommendations had been followed. Physicians’ propagation of misinformation about COVID-19 on social media and other internet-based platforms has raised professional, public health, and ethical concerns.ObjectiveTo characterize (1) the types of COVID-19 misinformation propagated by US physicians after vaccines became available, (2) the online platforms used, and (3) the characteristics of the physicians spreading misinformation.Des

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Baum, Seth. "Countering Superintelligence Misinformation." Information 9, no. 10 (2018): 244. http://dx.doi.org/10.3390/info9100244.

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Superintelligence is a potential type of future artificial intelligence (AI) that is significantly more intelligent than humans in all major respects. If built, superintelligence could be a transformative event, with potential consequences that are massively beneficial or catastrophic. Meanwhile, the prospect of superintelligence is the subject of major ongoing debate, which includes a significant amount of misinformation. Superintelligence misinformation is potentially dangerous, ultimately leading bad decisions by the would-be developers of superintelligence and those who influence them. Thi

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Tejan, Mariama. "Part I: Misinformation in Public Health Emergencies." HPHR Journal, no. 31 (2021). http://dx.doi.org/10.54111/0001/ee9.

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Health misinformationis a health-related claim of fact that is currently false due to lack of scientific evidence. Misinformation frequently impacts health behaviors, particularly during Public Health Emergencies of International Concern (PHEICs). With the ongoing COVID-19 pandemic, misinformation will continue to impact adherence to public health measures such as mask wearing and vaccine hesitancy.

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Mathias itoe, Mokube. "Misinformation in the Public Sector." SSRN Electronic Journal, 2023. http://dx.doi.org/10.2139/ssrn.4440313.

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