How to fight an infodemic

Demographic Factors Influencing the Impact of Coronavirus-Related Misinformation on WhatsApp: Cross-sectional Questionnaire Study

Bapaye, J., & Bapaye, H. (2021) · JMIR Public Health and Surveillance · doi:10.2196/19858 · Cited by 71

Institutional trust is a distinct construct related to vaccine hesitancy and refusal

Krastev, S., Krajden, O., Vang, Z. M., Juárez, F. P.-G., Solomonova, E., Goldenberg, M. J., Weinstock, D., Smith, M. J., Dervis, E., Pilat, D., et al. (2023) · BMC Public Health · doi:10.1186/s12889-023-17345-5 · Cited by 74

Antecedents and consequences of COVID-19 conspiracy beliefs: a systematic reviewPreprint

van Mulukom, V., Pummerer, L., Alper, S., Bai, H., Čavojová, V., Farias, J. E. M., Kay, C. S., Lazarević, L. B., Lobato, E. J. C., Marinthe, G., et al. (2020) · doi:10.31234/osf.io/u8yah · Cited by 71

One Year of COVID-19 Vaccine Misinformation on Twitter: Longitudinal Study

Pierri, F., DeVerna, M., Yang, K.-C., Axelrod, D., Bryden, J., & Menczer, F. (2023) · Journal of Medical Internet Research · doi:10.2196/42227 · Cited by 78

Social Media and the New World of Scientific Communication During the COVID-19 Pandemic

Pollett, S., & Rivers, C. (2020) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa553 · Cited by 69

The infodemics of COVID-19 amongst healthcare professionals in India

Datta, R., Yadav, A. K., Singh, A. K., Datta, K., & Bansal, A. (2020) · Medical Journal Armed Forces India · doi:10.1016/j.mjafi.2020.05.009 · Cited by 73

COVID-19 on Instagram: A content analysis of selected accounts

Niknam, F., Samadbeik, M., Fatehi, F., Shirdel, M., Rezazadeh, M., & Bastani, P. (2020) · Health Policy and Technology · doi:10.1016/j.hlpt.2020.10.016 · Cited by 77

Conspiracy beliefs and vaccination intent for COVID-19 in an infodemic

Ghaddar, A., Khandaqji, S., Awad, Z., & Kansoun, R. (2022) · PLoS ONE · doi:10.1371/journal.pone.0261559 · Cited by 69

Mis–Dis Information in COVID-19 Health Crisis: A Narrative Review

Clemente‐Suárez, V. J., Navarro-Jiménez, E., Simón, J. A., Beltrán-Velasco, A. I., Laborde-Cárdenas, C. C., Benítez-Agudelo, J. C., Bustamante-Sánchez, Á., & Tornero-Aguilera, J. F. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19095321 · Cited by 76

Physical distancing or social distancing: that is the question

Aminnejad, R., & Alikhani, R. (2020) · Canadian Journal of Anesthesia/Journal canadien d anesthésie · doi:10.1007/s12630-020-01697-2 · Cited by 73

Fake news in COVID-19: A perspective

Carrión-Álvarez, D., & Tijerina-Salina, P. X. (2020) · Health Promotion Perspectives · doi:10.34172/hpp.2020.44 · Cited by 68

Enhancing COVID-19 public health communication for culturally and linguistically diverse communities: An Australian interview study with community representatives

Karidakis, M., Woodward‐Kron, R. E., Amorati, R., Hu, B., Pym, A., & Hajek, J. (2022) · Qualitative Health Communication · doi:10.7146/qhc.v1i1.127258 · Cited by 71

The COVID‐19 scamdemic: A survey of phishing attacks and their countermeasures during COVID‐19

Al-Qahtani, A. F., & Cresci, S. (2022) · IET Information Security · doi:10.1049/ise2.12073 · Cited by 83

Pandemic-related health literacy: a systematic review of literature in COVID-19, SARS and MERS pandemics

Seng, J. J. B., Yeam, C. T., Huang, C. W., Tan, N. C., & Low, L. L. (2023) · Singapore Medical Journal · doi:10.4103/singaporemedj.smj-2021-026 · Cited by 68

Developing critical thinking skills through gamification

Angelelli, C. V., Ribeiro, G. M. D. C., Severino, M. R., Johnstone, E., Borzenkova, G., & da Silva, D. C. O. (2023) · Thinking Skills and Creativity · doi:10.1016/j.tsc.2023.101354 · Cited by 67

The bright and dark sides of social media usage during the COVID-19 pandemic: Survey evidence from Japan

Cato, S., Iida, T., Ishida, K., Ito, A., Katsumata, H., McElwain, K. M., & Shoji, M. (2021) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2020.102034 · Cited by 66

Factors affecting individual online rumor sharing behavior in the COVID-19 pandemic

Luo, P., Wang, C., Guo, F., & Luo, L. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.106968 · Cited by 71

Public Health in the Information Age: Recognizing the Infosphere as a Social Determinant of Health

Morley, J., Cowls, J., Taddeo, M., & Floridi, L. (2020) · Journal of Medical Internet Research · doi:10.2196/19311 · Cited by 74

“Infodemic” in a Pandemic

Olatunji, O. S., Ayandele, O., Ashirudeen, D., & Olaniru, O. S. (2020) · Asian Journal of Social Health and Behavior · doi:10.4103/shb.shb_43_20 · Cited by 65

Characterizing the COVID-19 Infodemic on Chinese Social Media: Exploratory Study

Zhang, S., Pian, W., Ma, F., Ni, Z., & Liu, Y. (2021) · JMIR Public Health and Surveillance · doi:10.2196/26090 · Cited by 65

How Can We Fight Partisan Biases in the COVID-19 Pandemic? AI Source Labels on Fact-checking Messages Reduce Motivated Reasoning

Moon, W.-K., Chung, M., & Jones-Jang, S. M. (2022) · Mass Communication & Society · doi:10.1080/15205436.2022.2097926 · Cited by 68

Smart approaches to waste management for post‐COVID‐19 smart cities in Japan

Onoda, H. (2020) · IET Smart Cities · doi:10.1049/iet-smc.2020.0051 · Cited by 64

Coverage of the COVID-19 Pandemic in the Online Versions of Highly Circulated U.S. Daily Newspapers

Basch, C. H., Kecojević, A., & Wagner, V. H. (2020) · Journal of Community Health · doi:10.1007/s10900-020-00913-w · Cited by 64

Association Between Depression, Health Beliefs, and Face Mask Use During the COVID-19 Pandemic

Bressington, D. T., Cheung, T. C. C., Lam, S. C., Suen, L. K. P., Fong, T. K. H., Ho, H., & Xiang, Y. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.571179 · Cited by 68

Critical observations on and suggested ways forward for healthcare communication during COVID-19: pEACH position paper

White, S. J., Barello, S., Marco, E. C. D. S., Colombo, C., Eeckman, E., Gilligan, C., Graffigna, G., Jirasevijinda, T., Mosconi, P., Mullan, J., et al. (2020) · Patient Education and Counseling · doi:10.1016/j.pec.2020.12.025 · Cited by 67

Using Tweets to Understand How COVID-19–Related Health Beliefs Are Affected in the Age of Social Media: Twitter Data Analysis Study

Wang, H., Li, Y., Hutch, M. R., Naidech, A. M., & Luo, Y. (2021) · Journal of Medical Internet Research · doi:10.2196/26302 · Cited by 66

Network Amplification of Politicized Information and Misinformation about COVID-19 by Conservative Media and Partisan Influencers on Twitter

Zhang, Y., Chen, F., & Lukito, J. (2022) · Political Communication · doi:10.1080/10584609.2022.2113844 · Cited by 71

Practicing Information Sensibility: How Gen Z Engages with Online Information

Hassoun, A., Beacock, I., Consolvo, S., Goldberg, B., Kelley, P. G., & Russell, D. M. (2023) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581328 · Cited by 92

Digital health literacy and information-seeking behavior among university college students during the COVID-19 pandemic: a cross-sectional study from denmark

Bak, C. K., Krammer, J. Ø., Dadaczynski, K., Orkan, O., von Seelen, J., Prinds, C., Søbjerg, L. M., & Klakk, H. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19063676 · Cited by 66

Against modernist illusions: why we need more democratic and constructivist alternatives to debunking conspiracy theories

Harambam, J. (2021) · Journal for Cultural Research · doi:10.1080/14797585.2021.1886424 · Cited by 70

Mental health, compliance with measures and health prospects during the COVID-19 epidemic: the role of health literacy

Hermans, L., den Broucke, S. V., Gisle, L., Demarest, S. S., & Charafeddine, R. (2021) · BMC Public Health · doi:10.1186/s12889-021-11437-w · Cited by 72

Trust models and theories in human–computer interaction: A systematic literature review

Gulati, S., McDonagh, J., Sousa, S., & Lamas, D. (2024) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2024.100495 · Cited by 83

Artificial intelligence in healthcare: a scoping review of perceived threats to patient rights and safety

Botha, N. N., Segbedzi, C. E., Dumahasi, V. K., Maneen, S., Kodom, R. V., Tsedze, I. S., Akoto, L. A., Atsu, F. S., Lasim, O. U., & Ansah, E. W. (2024) · Archives of Public Health · doi:10.1186/s13690-024-01414-1 · Cited by 81

#lockdown: Network-Enhanced Emotional Profiling in the Time of COVID-19

Stella, M., Restocchi, V., & Deyne, S. D. (2020) · Big Data and Cognitive Computing · doi:10.3390/bdcc4020014 · Cited by 63

A diary study of impulsive buying during the COVID-19 pandemic

Xiao, H., Zhang, Z., & Zhang, L. (2020) · Current Psychology · doi:10.1007/s12144-020-01220-2 · Cited by 69

COVID-19 vaccine rollout risk communication strategies in Europe: a rapid response

Warren, G. W., & Löfstedt, R. E. (2021) · Journal of Risk Research · doi:10.1080/13669877.2020.1870533 · Cited by 62

Perceived Information Overload and Unverified Information Sharing on WeChat Amid the COVID-19 Pandemic: A Moderated Mediation Model of Anxiety and Perceived Herd

Huang, Q., Lei, S., & Ni, B. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.837820 · Cited by 74

Cause and effect: On the antecedents and consequences of conspiracy theory beliefs

Uscinski, J. E., Enders, A. M., Klofstad, C., & Stoler, J. B. (2022) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2022.101364 · Cited by 62

One Hundred Days of Coronavirus Disease 2019 Prevention and Control in China

Zhou, L., Wu, Z., Li, Z., Zhang, Y., McGoogan, J. M., Li, Q., Dong, X., Ren, R., Feng, L., Qi, X., et al. (2020) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa725 · Cited by 61

Environmental and psychological variables influencing reactions to the COVID‐19 outbreak

Rubaltelli, E., Tedaldi, E., Orabona, N., & Scrimin, S. (2020) · British Journal of Health Psychology · doi:10.1111/bjhp.12473 · Cited by 61

Predictors of eHealth Literacy and Its Associations with Preventive Behaviors, Fear of COVID-19, Anxiety, and Depression among Undergraduate Nursing Students: A Cross-Sectional Survey

Tran, H., Nguyen, M. H., Pham, T. T. M., Giang, K. B., Nguyen, H. T., Nguyen, N., Dam, H. T. B., Duong, T. H., Nguyen, Y. H., Do, T. T., et al. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19073766 · Cited by 61

Defining Misinformation and Related Terms in Health-Related Literature: Scoping Review

Mikati, I. K. E., Hoteit, R., Harb, T., Zein, O. E., Piggott, T., Melki, J. P., Mustafa, R. A., & Akl, E. A. (2023) · Journal of Medical Internet Research · doi:10.2196/45731 · Cited by 73

Using fake news as means of cyber-bullying: The link with compulsive internet use and online moral disengagement

Maftei, A., Holman, A. C., & Merlici, I.-A. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.107032 · Cited by 70

Intervening on Trust in Science to Reduce Belief in COVID-19 Misinformation and Increase COVID-19 Preventive Behavioral Intentions: Randomized Controlled Trial

Agley, J. D., Xiao, Y., Thompson, E. E., Chen, X., & Golzarri‐Arroyo, L. (2021) · Journal of Medical Internet Research · doi:10.2196/32425 · Cited by 77

Spread of Misinformation in Social Networks: Analysis Based on Weibo Tweets

Luo, H., Cai, M., & Cui, Y. (2021) · Security and Communication Networks · doi:10.1155/2021/7999760 · Cited by 78

The COVID-19 Infodemic: Infodemiology Study Analyzing Stigmatizing Search Terms

Zhi, H., Yang, Z., Li, Q., & Zhang, A. (2020) · Journal of Medical Internet Research · doi:10.2196/22639 · Cited by 61

Design principles for conversational agents to support Emergency Management Agencies

Stieglitz, S., Hofeditz, L., Brünker, F., Ehnis, C., Mirbabaie, M., & Roß, B. (2022) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2021.102469 · Cited by 61

Prevention is political: political party affiliation predicts perceived risk and prevention behaviors for COVID-19

Kiviniemi, M. T., Orom, H., Hay, J. L., & Waters, E. A. (2022) · BMC Public Health · doi:10.1186/s12889-022-12649-4 · Cited by 63

Unleashing the power of disruptive and emerging technologies amid COVID-19: A detailed reviewPreprint

Agarwal, S., Punn, N. S., Sonbhadra, S. K., Tanveer, M., Nagabhushan, P., Pandian, K. K. S., & Saxena, P. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2005.11507 · Cited by 93

The COVID-19 Pandemic and nursing challenges: A review of the early literature

Danesh, M. K., Garosi, E., & Golmohammadpour, H. (2021) · Work · doi:10.3233/wor-213458 · Cited by 59

A multilayer network model of the coevolution of the spread of a disease and competing opinions

Peng, K., Zheng, L., Lin, V., Lindstrom, M. R., Parkinson, C., Wang, C., Bertozzi, A. L., & Porter, M. A. (2021) · Mathematical Models and Methods in Applied Sciences · doi:10.1142/s0218202521500536 · Cited by 63

Health literacy predicts Covid‐19 awareness and protective behaviours of university students

Naveed, M. A., & Shaukat, R. (2021) · Health Information & Libraries Journal · doi:10.1111/hir.12404 · Cited by 65

Lessons from COVID-19 for managing transboundary climate risks and building resilience

Ringsmuth, A. K., Otto, I. M., van den Hurk, B., Lahn, G., Reyer, C., Carter, T. R., Magnuszewski, P., Monasterolo, I., Aerts, J. C. J. H., Benzie, M., et al. (2022) · Climate Risk Management · doi:10.1016/j.crm.2022.100395 · Cited by 58

Misinformation Is Contagious: Middle school students learn how to evaluate and share information responsibly through a digital game

Barzilai, S., Mor-Hagani, S., Abed, F., Tal-Savir, D., Goldik, N., Talmon, I., & Davidow, O. (2023) · Computers & Education · doi:10.1016/j.compedu.2023.104832 · Cited by 69

Sharing Information on COVID-19: the ethical challenges in the Malaysian setting

Yusof, A. N. M., Muuti, M. Z., Ariffin, L. A., & Tan, M. K. M. (2020) · Asian Bioethics Review · doi:10.1007/s41649-020-00132-4 · Cited by 58

Adapting mental health services to the COVID-19 pandemic: reflections from professionals in four countries

Jurcik, T., Jarvis, G. E., Đorić, J. Ž., Krasavtseva, Y. V., Yaltonskaya, A., Ogiwara, K., Sasaki, J., Dubois, S., & Grigoryan, K. (2020) · Counselling Psychology Quarterly · doi:10.1080/09515070.2020.1785846 · Cited by 69

Engagement of Government Social Media on Facebook during the COVID-19 Pandemic in Macao

Pang, P. C., Cai, Q., Jiang, W., & Chan, K. S. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18073508 · Cited by 57

How social identity shapes conspiratorial belief

Robertson, C. E., Pretus, C., Rathje, S., Harris, E. A., & Van Bavel, J. J. (2022) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2022.101423 · Cited by 57

Identifying and characterizing superspreaders of low-credibility content on Twitter

DeVerna, M., Aiyappa, R., Pacheco, D. F., Bryden, J., & Menczer, F. (2024) · PLoS ONE · doi:10.1371/journal.pone.0302201 · Cited by 73

COVID-19 and social-politics of medical misinformation on social media in Pakistan

Ittefaq, M., Hussain, S. A., & Fatima, M. (2020) · Media Asia · doi:10.1080/01296612.2020.1817264 · Cited by 56

COVID-19 misinformation: Accuracy of articles about coronavirus prevention mostly shared on social media

Obiała, J., Obiała, K., Mańczak, M., Owoc, J., & Olszewski, R. (2020) · Health Policy and Technology · doi:10.1016/j.hlpt.2020.10.007 · Cited by 56

COVID-19 and ‘immune boosting’ on the internet: a content analysis of Google search results

Rachul, C. M., Marcon, A. R., Collins, B., & Caulfield, T. (2020) · BMJ Open · doi:10.1136/bmjopen-2020-040989 · Cited by 56

Moral Emotions Shape the Virality of COVID-19 Misinformation on Social Media

Solovev, K., & Pröllochs, N. (2022) · International World Wide Web Conference (WWW) · doi:10.1145/3485447.3512266 · Cited by 74

Global Reach of an Online COVID-19 Course in Multiple Languages on OpenWHO in the First Quarter of 2020: Analysis of Platform Use Data

Utunen, H., Ndiaye, N. Y., Piroux, C., George, R., Attias, M., & Gamhewage, G. (2020) · Journal of Medical Internet Research · doi:10.2196/19076 · Cited by 56

Storytelling wisdom: Story, information, and DIKW

McDowell, K. (2021) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.24466 · Cited by 55

COVID-19 and Black, Asian, and Minority Ethnic Communities: A Complex Relationship Without Just Cause

Phiri, P., Delanerolle, G., Al-Sudani, A., & Rathod, S. (2021) · JMIR Public Health and Surveillance · doi:10.2196/22581 · Cited by 73

An Infoveillance System for Detecting and Tracking Relevant Topics From Italian Tweets During the COVID-19 Event

Santis, E. D., Martino, A., & Rizzi, A. (2020) · IEEE Access · doi:10.1109/access.2020.3010033 · Cited by 56

Characteristics of Misinformation Spreading on Social Media During the COVID-19 Outbreak in China: A Descriptive Analysis

Chen, K., Luo, Y., Hu, A., Zhao, J. W., & Zhang, L. (2021) · Risk Management and Healthcare Policy · doi:10.2147/rmhp.s312327 · Cited by 55

Large language models for science and medicine

Telenti, A., Auli, M., Hie, B., Maher, C., Saria, S., & Ioannidis, J. P. A. (2024) · European Journal of Clinical Investigation · doi:10.1111/eci.14183 · Cited by 62

Understanding and reducing the fear of COVID-19

Ng, K. H., & Kemp, R. (2020) · Journal of Zhejiang University SCIENCE B · doi:10.1631/jzus.b2000228 · Cited by 54

Information disorders during the COVID-19 infodemic: The case of Italian Facebook

Guarino, S., Pierri, F., Giovanni, M. D., & Celestini, A. (2021) · Online Social Networks and Media · doi:10.1016/j.osnem.2021.100124 · Cited by 66

COVID-19 and human reproduction: A pandemic that packs a serious punch

Anifandis, G., Tempest, H. G., Oliva, R., Swanson, G., Simopoulou, M., Easley, C. A., Primig, M., Messini, C. I., Turek, P. J., Šutovský, P., et al. (2021) · Systems Biology in Reproductive Medicine · doi:10.1080/19396368.2020.1855271 · Cited by 53

A ciência entre a infodemia e outras narrativas da pós-verdade: desafios em tempos de pandemia

Giordani, R. C. F., Donasolo, J. P. G., Ames, V. D. B., & Giordani, R. L. (2021) · Ciência & Saúde Coletiva · doi:10.1590/1413-81232021267.05892021 · Cited by 63

Understanding the impact of emotional support on mental health resilience of the community in the social media in Covid-19 pandemic

Hu, X., Song, Y., Zhu, R., He, S., Zhou, B., Xue-lian, L., Bao, H., Shen, S., & Liu, B. (2022) · Journal of Affective Disorders · doi:10.1016/j.jad.2022.04.105 · Cited by 78

Tackling fake news in socially mediated public spheres: A comparison of Weibo and WeChat

Pang, H., Liu, J., & Lu, J. (2022) · Technology in Society · doi:10.1016/j.techsoc.2022.102004 · Cited by 59

Health Perceptions and Misconceptions Regarding COVID-19 in China: Online Survey Study

Zhou, J., Bishwajit, G., Wang, R., Wu, R., Li, Z., Huang, R., Feng, D., Feng, Z., & Tang, S. (2020) · Journal of Medical Internet Research · doi:10.2196/21099 · Cited by 56

Lessons from the influx of preprints during the early COVID-19 pandemic

Brierley, L. (2021) · The Lancet Planetary Health · doi:10.1016/s2542-5196(21)00011-5 · Cited by 54

Data deprivations, data gaps and digital divides: Lessons from the COVID-19 pandemic

Naudé, W. A., & Vinuesa, R. (2021) · Big Data & Society · doi:10.1177/20539517211025545 · Cited by 54

Digital Health Literacy About COVID-19 as a Factor Mediating the Association Between the Importance of Online Information Search and Subjective Well-Being Among University Students in Vietnam

Nguyen, L. H. T., Vo, M. T. H., Tran, L. T. M., Dadaczynski, K., Okan, O., Murray, L., & Van Vo, T. (2021) · Frontiers in Digital Health · doi:10.3389/fdgth.2021.739476 · Cited by 54

Politics overwhelms science in the Covid-19 pandemic: Evidence from the whole coverage of the Italian quality newspapers

Crabu, S., Giardullo, P., Sciandra, A., & Neresini, F. (2021) · PLoS ONE · doi:10.1371/journal.pone.0252034 · Cited by 56

Recognizing fake information through a developed feature scheme: A user study of health misinformation on social media in China

Li, Y., Fan, Z., Yuan, X., & Zhang, X. (2021) · Information Processing & Management · doi:10.1016/j.ipm.2021.102769 · Cited by 57

Direct and Indirect Associations of Media Use With COVID-19 Vaccine Hesitancy in South Korea: Cross-sectional Web-Based Survey

Lee, M., & You, M. (2021) · Journal of Medical Internet Research · doi:10.2196/32329 · Cited by 56

What Is a Conspiracy Theory and Why Does It Matter?

Uscinski, J. E., & Enders, A. M. (2022) · Critical Review · doi:10.1080/08913811.2022.2115668 · Cited by 53

Information avoidance in the age of COVID-19: A meta-analysis

Li, J. (2022) · Information Processing & Management · doi:10.1016/j.ipm.2022.103163 · Cited by 54

A infodemia transcende a pandemia

Freire, N. P., Cunha, I. C. K. O., Neto, F. R. G. X., Machado, M. H., & Minayo, M. C. D. S. (2021) · Ciência & Saúde Coletiva · doi:10.1590/1413-81232021269.12822021 · Cited by 53

Characterizing network dynamics of online hate communities around the COVID-19 pandemic

Uyheng, J., & Carley, K. M. (2021) · Applied Network Science · doi:10.1007/s41109-021-00362-x · Cited by 65

Creative Production of ‘COVID‐19 Social Distancing’ Narratives on Social Media

Mohamad, S. M. (2020) · Tijdschrift voor Economische en Sociale Geografie · doi:10.1111/tesg.12430 · Cited by 58

Attitude, Perception, and Knowledge of COVID-19 Among General Public in Pakistan

Mahmood, S., Hussain, T. A., Mahmood, F., Ahmad, M., Majeed, A., Beg, B. M., & Areej, S. (2020) · Frontiers in Public Health · doi:10.3389/fpubh.2020.602434 · Cited by 53

Risk perceptions and health behaviors as COVID-19 emerged in the United States: Results from a probability-based nationally representative sample.

Garfin, D. R., Fischhoff, B., Holman, E. A., & Silver, R. C. (2021) · Journal of Experimental Psychology Applied · doi:10.1037/xap0000374 · Cited by 51

That's interesting! The role of epistemic emotions and perceived credibility in the relation between prior beliefs and susceptibility to fake-news

Rijo, A., & Waldzus, S. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107619 · Cited by 55

Parental Hesitancy and Concerns around Accessing Paediatric Unscheduled Healthcare during COVID-19: A Cross-Sectional Survey

Nicholson, E., McDonnell, T., Conlon, C., Barrett, M. J., Cummins, F., Hensey, C. C., & McAuliffe, É. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17249264 · Cited by 51

Are People With Chronic Diseases Satisfied With the Online Health Information Related to COVID-19 During the Pandemic?

Kor, P. P. K., Leung, A. Y. M., Parial, L. L., Wong, E. M. L., Dadaczynski, K., Okan, O., Amoah, P. A., Wang, S. S., Deng, R., Cheung, T. C. C., et al. (2021) · Journal of Nursing Scholarship · doi:10.1111/jnu.12616 · Cited by 52

A cross-national diagnosis of infodemics: comparing the topical and temporal features of misinformation around COVID-19 in China, India, the US, Germany and France

Zeng, J., & Chan, C. (2021) · Online Information Review · doi:10.1108/oir-09-2020-0417 · Cited by 56

What do we believe in? Rumors and processing strategies during the COVID-19 outbreak in China

Zou, W., & Tang, L. (2020) · Public Understanding of Science · doi:10.1177/0963662520979459 · Cited by 50

Overview of current state of research on the application of artificial intelligence techniques for COVID-19

Kumar, V., Singh, D., Kaur, M., & Damaševičius, R. (2021) · PeerJ Computer Science · doi:10.7717/peerj-cs.564 · Cited by 50

Infodemic vs. Pandemic Factors Associated to Public Anxiety in the Early Stage of the COVID-19 Outbreak: A Cross-Sectional Study in China

Xu, J., & Liu, C. (2021) · Frontiers in Public Health · doi:10.3389/fpubh.2021.723648 · Cited by 55

Face/Off: Changing the face of movies with deepfakes

Murphy, G., Ching, D., Twomey, J., & Linehan, C. (2023) · PLoS ONE · doi:10.1371/journal.pone.0287503 · Cited by 64

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COVID -19- Infodemic overtaking Pandemic? Time to disseminate facts over fear

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Global Challenge of Health Communication: Infodemia in the Coronavirus Disease (COVID-19) Pandemic

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Managing the infodemic about COVID‐19: Strategies for clinicians and researchers

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COVID-19: the deadly threat of misinformation

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Misinformation and the Contemporary World

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