POL infodemics
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{{tp|p=32648850|t=2020. Public Health in the Information Age: Recognizing the Infosphere as a Social Determinant of Health.|pdf=|usr=017}} | {{tp|p=32648850|t=2020. Public Health in the Information Age: Recognizing the Infosphere as a Social Determinant of Health.|pdf=|usr=017}} | ||
{{tp|p=32217507|t=2020. Assessment of Health Information About COVID-19 Prevention on the Internet: Infodemiological Study.|pdf=|usr=009}} | {{tp|p=32217507|t=2020. Assessment of Health Information About COVID-19 Prevention on the Internet: Infodemiological Study.|pdf=|usr=009}} | ||
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{{tp|p=32687807|t=2020. The COVID-19 infodemic.|pdf=|usr=014}} | {{tp|p=32687807|t=2020. The COVID-19 infodemic.|pdf=|usr=014}} | ||
{{tp|p=32693023|t=2020. Alcohol Intake in Attempt to Fight COVID-19: A Medical Myth in Iran.|pdf=|usr=014}} | {{tp|p=32693023|t=2020. Alcohol Intake in Attempt to Fight COVID-19: A Medical Myth in Iran.|pdf=|usr=014}} | ||
− | + | {{tp|p=32708231|t=2020. Social Networks' Engagement During the COVID-19 Pandemic in Spain: Health Media vs. Healthcare Professionals.|pdf=|usr=014}} | |
+ | {{tp|p=32712642|t=2020. The Role of Social Media During the COVID-19 Pandemic.|pdf=|usr=017}} | ||
+ | {{tp|p=32713092|t=2020. How infodemic during the COVID-19 outbreak influenced common clinical practice in an Outpatient Service of severe psoriasis.|pdf=|usr=014}} | ||
+ | {{tp|p=32715673|t=2020. Letter to the Editor: Social Media Is a Double-Edged Sword in the COVID-19 Pandemic.|pdf=|usr=014}} | ||
+ | {{tp|p=32719731|t=2020. COVID-19 therapeutics: how to sow confusion and break public trust during international public health emergencies.|pdf=|usr=014}} | ||
+ | {{tp|p=32725084|t=2020. COVID-19, as fake news e o sono da razao comunicativa gerando monstros: a narrativa dos riscos e os riscos das narrativas.|pdf=|usr=017}} | ||
+ | {{tp|p=32726144|t=2020. How Parents and Their Children Used Social Media and Technology at the Beginning of the COVID-19 Pandemic and Associations with Anxiety.|pdf=|usr=017}} | ||
+ | {{tp|p=32730221|t=2020. Evaluation of Korean-Language COVID-19-Related Medical Information on YouTube: Cross-Sectional Infodemiology Study.|pdf=|usr=018}} | ||
+ | {{tp|p=32731359|t=2020. Analyzing Spanish News Frames on Twitter during COVID-19-A Network Study of El Pais and El Mundo.|pdf=|usr=018}} | ||
+ | {{tp|p=32741134|t=2020. The "Infodemic" of COVID-19.|pdf=|usr=018}} | ||
+ | {{tp|p=32742059|t=2020. Telegram as a Tool to Supplement Online Medical Education During COVID-19 Crisis.|pdf=|usr=017}} | ||
+ | {{tp|p=32748790|t=2020. Global Infodemiology of COVID-19: Analysis of Google Web Searches and Instagram Hashtags.|pdf=|usr=018}} | ||
+ | {{tp|p=32750001|t=2020. Social Network Analysis of COVID-19 Sentiments: Application of Artificial Intelligence.|pdf=|usr=018}} | ||
+ | {{tp|p=32750005|t=2020. Digital Inequality During a Pandemic: Quantitative Study of Differences in COVID-19-Related Internet Uses and Outcomes Among the General Population.|pdf=|usr=017}} | ||
+ | {{tp|p=32750006|t=2020. Big Data, Natural Language Processing, and Deep Learning to Detect and Characterize Illicit COVID-19 Product Sales: Infoveillance Study on Twitter and Instagram.|pdf=|usr=017}} | ||
+ | {{tp|p=32754628|t=2020. Datasets on how misinformation promotes immune perception of COVID-19 pandemic in Africa.|pdf=|usr=017}} | ||
{{tp|p=32481773|t=2020. COVID-19: Misinformation Can Kill.|pdf=|usr=007}} | {{tp|p=32481773|t=2020. COVID-19: Misinformation Can Kill.|pdf=|usr=007}} | ||
+ | {{tp|p=32754859|t=2020. Why not use "Twitter" of core clinical journals for rapid dissemination of medical information during the COVID-19 pandemic?|pdf=|usr=017}} | ||
+ | {{tp|p=32757541|t=2020. For the future and possible ensuing waves of COVID-19: A perspective to consider when disseminating data.|pdf=|usr=017}} | ||
+ | {{tp|p=32757953|t=2020. Digital Disinformation About COVID-19 and the Third-Person Effect: Examining the Channel Differences and Negative Emotional Outcomes.|pdf=|usr=017}} | ||
+ | {{tp|p=32776899|t=2020. COVID-19 on TikTok: harnessing an emerging social media platform to convey important public health messages.|pdf=|usr=017}} | ||
+ | {{tp|p=32780635|t=2020. Medical populism and the COVID-19 pandemic.|pdf=|usr=018}} | ||
+ | {{tp|p=32781727|t=2020. Big Data Analysis of Media Reports Related to COVID-19.|pdf=|usr=018}} | ||
+ | {{tp|p=32783794|t=2020. COVID-19-Related Infodemic and Its Impact on Public Health: A Global Social Media Analysis.|pdf=|usr=019}} | ||
+ | {{tp|p=32784200|t=2020. Covid-19 misinformation sparks threats and violence against doctors in Latin America.|pdf=|usr=018}} | ||
+ | {{tp|p=32788143|t=2020. Excessive Media Consumption About COVID-19 is Associated With Increased State Anxiety: Outcomes of a Large Online Survey in Russia.|pdf=|usr=018}} | ||
+ | {{tp|p=32802003|t=2020. Quality of Novel Coronavirus Related Health Information over the Internet: An Evaluation Study.|pdf=|usr=018}} | ||
+ | {{tp|p=32806772|t=2020. Fake News and Covid-19 in Italy: Results of a Quantitative Observational Study.|pdf=|usr=018}} | ||
+ | {{tp|p=32809028|t=2020. Comparison of Readability of Official Public Health Information About COVID-19 on Websites of International Agencies and the Governments of 15 Countries.|pdf=|usr=018}} | ||
+ | {{tp|p=32834288|t=2021. Content matters. Different predictors and social consequences of general and government-related conspiracy theories on COVID-19.|pdf=|usr=018}} | ||
+ | {{tp|p=32838179|t=2020. The "Pandemic" of Disinformation in COVID-19.|pdf=|usr=018}} | ||
+ | {{tp|p=32840263|t=2020. Is fake news contributing to increased Covid-19 BAME deaths?|pdf=|usr=018}} | ||
+ | {{tp|p=32850213|t=2020. Upholding Scientific Duty Amidst Poisonous Disinformation.|pdf=|usr=018}} | ||
+ | {{tp|p=32852927|t=2020. Social Media in the Times of COVID-19.|pdf=|usr=018}} | ||
+ | {{tp|p=32855353|t=2020. Exposure to health misinformation about COVID-19 and increased tobacco and alcohol use: a population-based survey in Hong Kong.|pdf=|usr=018}} | ||
+ | {{tp|p=32864981|t=2020. Preference and Trust: An Investigation of Information Source of COVID-19 Among People Over 50 Years.|pdf=|usr=018}} | ||
+ | {{ttp|p=32868972|t=2020. Three contextual dimensions of information on social media: lessons learned from the COVID-19 infodemic.|pdf=|usr=018}} | ||
+ | {{tp|p=32873499|t=2020. TikTok and Its Role in Coronavirus Disease 2019 Information Propagation.|pdf=|usr=018}} | ||
+ | {{tp|p=32878092|t=2020. Information on the COVID-19 Pandemic in Daily Newspapers' Front Pages: Case Study of Spain and Italy.|pdf=|usr=018}} | ||
+ | {{tp|p=32882029|t=2020. A Thematic Analysis of Weibo Topics (Chinese Twitter Hashtags) regarding Older Adults During the COVID-19 Outbreak.|pdf=|usr=018}} | ||
+ | {{tp|p=32901533|t=2020. Geospatial correlation between COVID-19 health misinformation and poisoning with household cleaners in the Greater Boston Area.|pdf=|usr=019}} | ||
+ | {{tp|p=32901759|t=2020. Infodemia: excesso de quantidade em detrimento da qualidade das informacoes sobre a COVID-19.|pdf=|usr=019}} | ||
+ | {{tp|p=32902813|t=2020. Coverage of the COVID-19 Pandemic in the Online Versions of Highly Circulated U.S. Daily Newspapers.|pdf=|usr=019}} | ||
+ | {{tp|p=32904993|t=2020. How Partisanship Affected Public Reaction to Potential Treatments for COVID-19.|pdf=|usr=019}} | ||
+ | {{tp|p=32907685|t=2020. Social Network Analysis of COVID-19 Public Discourse on Twitter: Implications for Risk Communication.|pdf=|usr=019}} | ||
+ | {{tp|p=32910819|t=2020. COVID-19 conspiracy beliefs, health behaviors, and policy support.|pdf=|usr=019}} | ||
+ | {{tp|p=32911779|t=2020. The Role of Illness Perceptions, Coping, and Self-Efficacy on Adherence to Precautionary Measures for COVID-19.|pdf=|usr=019}} | ||
+ | {{tp|p=32911826|t=2020. Factors Influencing Rumour Re-Spreading in a Public Health Crisis by the Middle-Aged and Elderly Populations.|pdf=|usr=019}} | ||
+ | {{tp|p=32912996|t=2020. COVID-19 prevention and treatment information on the internet: a systematic analysis and quality assessment.|pdf=|usr=019}} | ||
+ | {{tp|p=32914831|t=2020. Predicting Social Distancing Intention and Behavior During the COVID-19 Pandemic: An Integrated Social Cognition Model.|pdf=|usr=019}} | ||
+ | {{tp|p=32926171|t=2020. Public Intent to Comply with COVID-19 Public Health Recommendations.|pdf=|usr=019}} | ||
+ | {{tp|p=32926172|t=2020. African American Adherence to COVID-19 Public Health Recommendations.|pdf=|usr=019}} | ||
+ | {{tp|p=32926173|t=2020. Disparities in Adherence to COVID-19 Public Health Recommendations.|pdf=|usr=019}} | ||
+ | {{tp|p=32926250|t=2020. Closed Facebook groups and COVID-19: an evaluation of utilization prior to and during the pandemic.|pdf=|usr=019}} | ||
+ | {{tp|p=32927311|t=2020. The role of psychiatrists in addressing COVID-19 conspiracy theories.|pdf=|usr=019}} | ||
+ | {{tp|p=32927793|t=2020. Impact of Social Support and Social Trust on Public Viral Risk Response: A COVID-19 Survey Study.|pdf=|usr=019}} | ||
+ | {{tp|p=32930670|t=2020. Association Between Public Knowledge About COVID-19, Trust in Information Sources, and Adherence to Social Distancing: Cross-Sectional Survey.|pdf=|usr=019}} | ||
+ | {{tp|p=32936771|t=2020. COVID-19 and the "Film Your Hospital" Conspiracy Theory: Social Network Analysis of Twitter Data.|pdf=|usr=019}} | ||
+ | {{tp|p=32936775|t=2020. Trends and Predictors of COVID-19 Information Sources and Their Relationship With Knowledge and Beliefs Related to the Pandemic: Nationwide Cross-Sectional Study.|pdf=|usr=019}} | ||
+ | {{tp|p=32943953|t=2020. An Extensive Search Trends-Based Analysis of Public Attention on Social Media in the Early Outbreak of COVID-19 in China.|pdf=|usr=019}} | ||
+ | {{ttp|p=32946412|t=2020. Topics, Delivery Modes, and Social-Epistemological Dimensions of Web-Based Information for Patients Undergoing Renal Transplant and Living Donors During the COVID-19 Pandemic: Content Analysis.|pdf=|usr=019}} | ||
+ | {{tp|p=32953977|t=2020. Characterizing communities of hashtag usage on twitter during the 2020 COVID-19 pandemic by multi-view clustering.|pdf=|usr=019}} | ||
+ | {{tp|p=32960775|t=2020. Collective Response to Media Coverage of the COVID-19 Pandemic on Reddit and Wikipedia: Mixed-Methods Analysis.|pdf=|usr=019}} | ||
+ | {{tp|p=32961275|t=2020. Anti-science extremism in America: escalating and globalizing.|pdf=|usr=019}} | ||
+ | {{tp|p=32962172|t=2020. Public Voice via Social Media: Role in Cooperative Governance during Public Health Emergency.|pdf=|usr=019}} | ||
+ | {{tp|p=32962712|t=2020. Coronavirus misinformation and the political scenario: the science cannot be 'another' barrier.|pdf=|usr=019}} | ||
+ | {{tp|p=32967786|t=2020. Conspiracy theories as barriers to controlling the spread of COVID-19 in the U.S.|pdf=|usr=019}} | ||
+ | {{tp|p=32984890|t=2020. User reactions to COVID-19 screening chatbots from reputable providers.|pdf=|usr=019}} | ||
+ | {{tp|p=32986469|t=2020. Whose Tweets on COVID-19 Gain the Most Attention: Celebrities, Political, or Scientific Authorities?|pdf=|usr=019}} | ||
+ | {{tp|p=32994354|t=2020. Social media in the era of COVID-19.|pdf=|usr=019}} | ||
+ | {{tp|p=32995894|t=2020. #Covid4Rheum: an analytical twitter study in the time of the COVID-19 pandemic.|pdf=|usr=019}} | ||
+ | {{tp|p=33001378|t=2020. Unicorn Poo and Blessed Waters: COVID-19 Quackery and FDA Warning Letters.|pdf=|usr=019}} | ||
+ | {{tp|p=33006608|t=2020. The significance of COVID-19-associated myocardial injury: how overinterpretation of scientific findings can fuel media sensationalism and spread misinformation.|pdf=|usr=019}} | ||
+ | {{tp|p=33006937|t=2020. Topics, Trends, and Sentiments of Tweets About the COVID-19 Pandemic: Temporal Infoveillance Study.|pdf=|usr=019}} | ||
+ | {{tp|p=33013254|t=2020. Sentiment Analysis of COVID-19 tweets by Deep Learning Classifiers-A study to show how popularity is affecting accuracy in social media.|pdf=|usr=019}} | ||
+ | {{tp|p=33020741|t=2020. Twitter and the pursuit of global health-care during COVID-19 pandemic.|pdf=|usr=019}} | ||
+ | {{tp|p=33021985|t=2020. Addressing immediate public coronavirus (COVID-19) concerns through social media: Utilizing Reddit's AMA as a framework for Public Engagement with Science.|pdf=|usr=019}} | ||
+ | {{tp|p=32836649|t=2020. Who do you trust? The digital destruction of shared situational awareness and the COVID-19 infodemic.|pdf=|usr=018}} | ||
+ | {{tp|p=32417871|t=2020. Information Disorder Syndrome and Its Management.|pdf=|usr=023}} | ||
+ | {{tp|p=32805227|t=2020. Misinformation Dissemination in Twitter in the COVID-19 Era.|pdf=|usr=020}} | ||
+ | {{tp|p=32942170|t=2020. The tsunami of misinformation on COVID-19 challenged the health information literacy of the general public and the readability of educational material: a commentary.|pdf=|usr=020}} | ||
+ | {{tp|p=33001730|t=2020. Concrete Recommendations for Cutting Through Misinformation During the COVID-19 Pandemic.|pdf=|usr=020}} | ||
+ | {{tp|p=33001735|t=2020. Using a Global Pandemic as a Teachable Moment to Promote Vaccine Literacy and Build Resilience to Misinformation.|pdf=|usr=020}} | ||
+ | {{tp|p=33013069|t=2020. "Infodemic" COVID 19: More Pandemic than the Virus.|pdf=|usr=020}} | ||
+ | {{tp|p=33024152|t=2020. The COVID-19 social media infodemic.|pdf=|usr=020}} | ||
+ | {{tp|p=33027357|t=2020. Fato ou Fake? Uma analise da desinformacao frente a pandemia da Covid-19 no Brasil.|pdf=|usr=020}} | ||
+ | {{tp|p=33031704|t=2020. Clinical update on managing media exposure and misinformation during COVID-19: recommendations for governments and healthcare professionals.|pdf=|usr=020}} | ||
+ | {{tp|p=33031753|t=2020. COVID-19: the deadly threat of misinformation.|pdf=|usr=020}} | ||
+ | {{tp|p=33031763|t=2020. Why misinterpretation of electron micrographs in SARS-CoV-2-infected tissue goes viral.|pdf=|usr=020}} | ||
+ | {{tp|p=33042290|t=2020. We Are All Victims: Questionable Content and Collective Victimisation in the Digital Age.|pdf=|usr=020}} | ||
+ | {{tp|p=33042491|t=2020. 'Infodemic' During COVID-19 Pandemic: Troubleshooting the Trouble in Troubled Time Through Primary Care Activism.|pdf=|usr=020}} | ||
+ | {{tp|p=33048825|t=2020. Associations Between COVID-19 Misinformation Exposure and Belief With COVID-19 Knowledge and Preventive Behaviors: Cross-Sectional Online Study.|pdf=|usr=020}} | ||
+ | {{tp|p=33050772|t=2020. The social life of COVID-19: Early insights from social media monitoring data collected in Poland.|pdf=|usr=020}} | ||
+ | {{tp|p=33052871|t=2020. COVID-19 and the Gendered Use of Emojis on Twitter: Infodemiology Study.|pdf=|usr=020}} | ||
+ | {{tp|p=33052967|t=2020. Countering misinformation via WhatsApp: Preliminary evidence from the COVID-19 pandemic in Zimbabwe.|pdf=|usr=020}} | ||
+ | {{tp|p=33070502|t=2020. Fighting an Infodemic in the Time of the COVID-19 Pandemic in India: Leveraging Technology and Social Media.|pdf=|usr=020}} | ||
+ | {{tp|p=33071894|t=2020. Factors Predicting Willingness to Share COVID-19 Misinformation.|pdf=|usr=020}} | ||
+ | {{tp|p=33072495|t=2020. Sources of information in times of health crisis: evidence from Turkey during COVID-19.|pdf=|usr=020}} | ||
+ | {{tp|p=33072524|t=2020. Different impacts of COVID-19-related information sources on public worry: An online survey through social media.|pdf=|usr=020}} | ||
+ | {{tp|p=33072716|t=2020. Fake News Affecting the Adherence of National Response Measures During the COVID-19 Lockdown Period: The Experience of Vietnam.|pdf=|usr=021}} | ||
+ | {{tp|p=33085719|t=2020. Public perceptions of conflicting information surrounding COVID-19: Results from a nationally representative survey of U.S. adults.|pdf=|usr=020}} | ||
+ | {{tp|p=33087194|t=2020. Misinformation in wake of the COVID-19 outbreak: Fueling shortage and misuse of lifesaving drugs in Pakistan.|pdf=|usr=020}} | ||
+ | {{tp|p=33090030|t=2020. Disinformation and Epidemics: Anticipating the Next Phase of Biowarfare.|pdf=|usr=021}} | ||
+ | {{tp|p=33090215|t=2020. Modelling the antecedent factors that affect online fake news sharing on COVID-19: the moderating role of fake news knowledge.|pdf=|usr=020}} | ||
+ | {{tp|p=33095740|t=2020. Concerns About Information Regarding COVID-19 on the Internet: Cross-Sectional Study.|pdf=|usr=020}} | ||
+ | {{tp|p=33102925|t=2020. Bots and online hate during the COVID-19 pandemic: case studies in the United States and the Philippines.|pdf=|usr=020}} | ||
+ | {{tp|p=33103291|t=2020. YouTube as a source of patient information for Covid-19: An enhanced content-quality and audience engagement analysis.|pdf=|usr=020}} | ||
+ | {{tp|p=33103578|t=2020. The spread of fake science: Lexical concreteness, proximity, misinformation sharing, and the moderating role of subjective knowledge.|pdf=|usr=020}} | ||
+ | {{tp|p=33106041|t=2020. Pandemics and PSAs: Rapidly Changing Information in a New Media Landscape.|pdf=|usr=021}} | ||
+ | {{tp|p=33106764|t=2020. "Show this thread": policing, disruption and mobilisation through Twitter. An analysis of UK law enforcement tweeting practices during the Covid-19 pandemic.|pdf=|usr=020}} | ||
+ | {{tp|p=33108310|t=2020. Public Perception of the COVID-19 Pandemic on Twitter: Sentiment Analysis and Topic Modeling Study.|pdf=|usr=020}} | ||
+ | {{tp|p=33110566|t=2020. The myth that Nigerians are immune to SARS-CoV-2 and that COVID-19 is a hoax are putting lives at risk.|pdf=|usr=020}} | ||
+ | {{tp|p=33119535|t=2020. Twitter Discussions and Emotions About the COVID-19 Pandemic: Machine Learning Approach.|pdf=|usr=020}} | ||
+ | {{tp|p=33122812|t=2020. Assessing the risks of 'infodemics' in response to COVID-19 epidemics.|pdf=|usr=020}} | ||
+ | {{tp|p=33134595|t=2020. Conspiracy in the time of corona: automatic detection of emerging COVID-19 conspiracy theories in social media and the news.|pdf=|usr=020}} | ||
+ | {{tp|p=33139966|t=2020. Sentiment analysis and its applications in fighting COVID-19 and infectious diseases: A systematic review.|pdf=|usr=020}} | ||
+ | {{tp|p=33145473|t=2020. Identifying propaganda from online social networks during COVID-19 using machine learning techniques.|pdf=|usr=020}} | ||
+ | {{tp|p=33146925|t=2020. Stem cell 'therapy' advertisements in China: Infodemic, regulations and recommendations.|pdf=|usr=020}} | ||
+ | {{tp|p=33151894|t=2020. Concerns Expressed by Chinese Social Media Users During the COVID-19 Pandemic: Content Analysis of Sina Weibo Microblogging Data.|pdf=|usr=020}} | ||
+ | {{tp|p=33156807|t=2020. The COVID-19 Infodemic: Infodemiology Study Analyzing Stigmatizing Search Terms.|pdf=|usr=020}} | ||
+ | {{tp|p=33163299|t=2020. Youtube as an Information Source During the Coronavirus Disease (COVID-19) Pandemic: Evaluation of the Turkish and English Content.|pdf=|usr=020}} | ||
+ | {{tp|p=33163352|t=2020. COVID-19 misinformation: Accuracy of articles about coronavirus prevention mostly shared on social media.|pdf=|usr=020}} | ||
+ | {{tp|p=33163618|t=2020. Effects of misinformation diffusion during a pandemic.|pdf=|usr=020}} | ||
+ | {{tp|p=33167736|t=2021. Health Information Consumption under COVID-19 Lockdown: An Interview Study of Residents of Hubei Province, China.|pdf=|usr=021}} | ||
+ | {{tp|p=33169067|t=2020. An Investigation of Misinformation Harms Related to Social Media during Two Humanitarian Crises.|pdf=|usr=023}} | ||
+ | {{tp|p=33171724|t=2020. Information in Spanish on the Internet about the Prevention of COVID-19.|pdf=|usr=020}} | ||
+ | {{tp|p=33171843|t=2020. A Social Network Analysis of Tweets Related to Masks during the COVID-19 Pandemic.|pdf=|usr=020}} | ||
+ | {{tp|p=33173813|t=2020. COVID-19 pandemic and information diffusion analysis on Twitter.|pdf=|usr=020}} | ||
+ | {{tp|p=33173823|t=2020. Social media and COVID-19: Characterizing anti-quarantine comments on Twitter.|pdf=|usr=020}} | ||
+ | {{tp|p=33173826|t=2020. Network typology, information sources, and messages of the infodemic twitter network under COVID-19.|pdf=|usr=020}} | ||
+ | {{tp|p=33173830|t=2020. Investigating COVID-19-Related query logs of Chinese search engine users.|pdf=|usr=020}} | ||
+ | {{tp|p=33175693|t=2020. Characterizing Weibo Social Media Posts from Wuhan, China During the Early Stages of the COVID-19 Pandemic: A Qualitative Content Analysis.|pdf=|usr=020}} | ||
+ | {{tp|p=33183090|t=2021. Impact of Information Exposure on Perceived Risk, Efficacy, and Preventative Behaviors at the Beginning of the COVID-19 Pandemic in the United States.|pdf=|usr=021}} | ||
+ | {{tp|p=33186091|t=2020. Health Information Sources and the Influenza Vaccination: The Mediating Roles of Perceived Vaccine Efficacy and Safety.|pdf=|usr=021}} | ||
+ | {{tp|p=33188231|t=2020. Exploring the construction and infiltration strategies of social bots in sina microblog.|pdf=|usr=023}} | ||
+ | {{tp|p=33192827|t=2020. The Role of News Consumption and Trust in Public Health Leadership in Shaping COVID-19 Knowledge and Prejudice.|pdf=|usr=020}} | ||
+ | {{tp|p=33199259|t=2020. Israel National Obstetric Anesthesia WhatsApp group as a communication tool, before and during the COVID-19 pandemic.|pdf=|usr=021}} | ||
+ | {{ttp|p=33209940|t=2020. Why the tremendous potential of uploading health educational material on medical institutions' website remains grossly underutilized in the era of the Fourth Industrial Revolution?|pdf=|usr=023}} | ||
+ | {{tp|p=33214193|t=2020. What people share about the COVID-19 outbreak on Twitter? An exploratory analysis.|pdf=|usr=021}} | ||
+ | {{ttp|p=33223952|t=2020. Social cybersecurity: an emerging science.|pdf=|usr=023}} | ||
+ | {{tp|p=33224060|t=2020. Dealing With the COVID-19 Infodemic: Distress by Information, Information Avoidance, and Compliance With Preventive Measures.|pdf=|usr=021}} | ||
+ | {{tp|p=33238567|t=2020. Social Bots' Sentiment Engagement in Health Emergencies: A Topic-Based Analysis of the COVID-19 Pandemic Discussions on Twitter.|pdf=|usr=021}} | ||
+ | {{tp|p=33244280|t=2020. Community Level of COVID-19 Information Exposure and Influencing Factors in Northwest Ethiopia.|pdf=|usr=021}} | ||
+ | {{tp|p=33246674|t=2020. Countering fake news in the COVID-19 era: The public's opinion on the role of an honest and reliable website.|pdf=|usr=021}} | ||
+ | {{tp|p=33248795|t=2020. The way in which COVID-19 changed behaviour on social media in Malta.|pdf=|usr=021}} | ||
+ | {{tp|p=33251095|t=2020. Health practitioners should caution about misinformation and association of adverse effects of electronic cigarette use and COVID-19.|pdf=|usr=021}} | ||
+ | {{tp|p=33251373|t=2020. Misinformation, manipulation, and abuse on social media in the era of COVID-19.|pdf=|usr=021}} | ||
+ | {{tp|p=33259825|t=2020. Readability, content, and quality of COVID-19 patient education materials from academic medical centers in the United States.|pdf=|usr=022}} | ||
+ | {{tp|p=33264102|t=2020. Characterizing the Spread of COVID-19 Misinformation in Eight Countries Using Exponential Growth Models.|pdf=|usr=022}} | ||
+ | {{tp|p=33270783|t=2020. COVID-19 misinformation: Mere harmless delusions or much more? A knowledge and attitude cross-sectional study among the general public residing in Jordan.|pdf=|usr=022}} | ||
+ | {{tp|p=33271779|t=2020. Social Media Activities, Emotion Regulation Strategies, and Their Interactions on People's Mental Health in COVID-19 Pandemic.|pdf=|usr=022}} | ||
+ | {{tp|p=33294685|t=2020. The use of Twitter by state leaders and its impact on the public during the COVID-19 pandemic.|pdf=|usr=022}} | ||
+ | {{tp|p=33295429|t=2020. COVID-19 information exposure in digital media and implications for employees in the health care sector: findings from an online survey.|pdf=|usr=022}} | ||
+ | {{tp|p=33304681|t=2020. The COVID-19 Infodemic: A Quantitative Analysis Through Facebook.|pdf=|usr=023}} | ||
+ | {{tp|p=33305034|t=2020. Content analysis of social and economic issues in Indonesia during the COVID-19 pandemic.|pdf=|usr=023}} | ||
+ | {{tp|p=33312921|t=2020. Fake news in COVID-19: A perspective.|pdf=|usr=023}} | ||
+ | {{tp|p=33339642|t=?. The QR code: A treatment for COVID-19 information overload.|pdf=|usr=023}} | ||
+ | {{tp|p=C7212244|t=?. The easy weaponization of social media: why profit has trumped security for U.S. companies.|pdf=|usr=015}} | ||
+ | {{tp|p=C7250114|t=2021. Approaches to Identify Fake News: A Systematic Literature Review.|pdf=|usr=015}} | ||
+ | {{tp|p=C7251254|t=?. How Right-Leaning Media Coverage of COVID-19 Facilitated the Spread of Misinformation in the Early Stages of the Pandemic in the U.S.|pdf=|usr=015}} | ||
+ | {{tp|p=C7255994|t=2020. The infodemics of COVID-19 amongst healthcare professionals in India.|pdf=|usr=015}} | ||
+ | {{tp|p=C7309924|t=?. Retweets of officials? alarming vs reassuring messages during the COVID-19 pandemic: Implications for crisis management.|pdf=|usr=015}} | ||
+ | {{tp|p=C7315956|t=?. The extent of people s response to rumors and false news in light of the crisis of the Corona virus.|pdf=|usr=015}} | ||
+ | {{tp|p=C7323338|t=?. Political Polarization Drives Online Conversations About COVID?19 in the United States.|pdf=|usr=015}} | ||
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+ | {{tp|p=C7332744|t=?. Politicizing the Pandemic: A Schemata Analysis of COVID-19 News in Two Selected Newspapers.|pdf=|usr=015}} | ||
+ | {{tp|p=C7337776|t=?. An ?Infodemic?: Leveraging High-Volume Twitter Data to Understand Early Public Sentiment for the COVID-19 Outbreak.|pdf=|usr=015}} | ||
+ | {{tp|p=C7340407|t=2020. Sharing of fake news on social media: Application of the honeycomb framework and the third-person effect hypothesis.|pdf=|usr=015}} | ||
+ | {{tp|p=C7351412|t=?. COVID-19: Fear quackery false representations and the law?.|pdf=|usr=015}} | ||
+ | {{tp|p=C7354273|t=2020. Misinformation sharing and social media fatigue during COVID-19: An affordance and cognitive load perspective.|pdf=|usr=015}} | ||
+ | {{tp|p=C7646503|t=?. Design and analysis of a large-scale COVID-19 tweets dataset.|pdf=|usr=023}} | ||
+ | {{tp|p=C7655817|t=2020. Using the president?s tweets to understand political diversion in the age of social media.|pdf=|usr=023}} | ||
+ | {{tp|p=C7300839|t=?. Creative Production of ?COVID?19 Social Distancing? Narratives on Social Media.|pdf=|usr=015}} | ||
+ | {{tp|p=C7276806|t=?. Dealing with the unexpected: new forms of mytho?praxis in the age of COVID?19.|pdf=|usr=015}} | ||
+ | {{tp|p=C7276822|t=?. Corona conspiracies: a call for urgent anthropological attention.|pdf=|usr=015}} | ||
+ | ---- vintage | ||
+ | |||
+ | {{tp|p=32188445|t=2020. Coronavirus: the spread of misinformation |pdf=|usr=}} | ||
+ | {{tp|p=32248871|t=ä. The Twitter pandemic: The critical role of Twitter in the dissemination of medical information and misinformation during the COVID-19 pandemic |pdf=|usr=}} | ||
+ | {{tp|p=C7152572|t=ä. Coronavirus Goes Viral: Quantifying the COVID-19 Misinformation Epidemic on Twitter |pdf=|usr=}} | ||
+ | {{tp|p=32235433|t=2020. Corona Virus (COVID-19) ?Infodemic? and Emerging Issues through a Data Lens: The Case of China |pdf=|usr=}} | ||
+ | {{tp|p=32352383|t=2020. COVID-19 and the 5G Conspiracy Theory: Social Network Analysis of Twitter Data |pdf=|usr=}} | ||
+ | {{tp|p=32347895|t=ä. Internet Searches for Unproven COVID-19 Therapies in the United States |pdf=|usr=}} | ||
+ | {{tp|p=32250960|t=2020. Misinformation of COVID-19 on the Internet: Infodemiology Study |pdf=|usr=}} | ||
+ | {{tp|p=32059801|t=2020. 2019-nCoV, fake news, and racism |pdf=|usr=}} | ||
+ | {{tp|p=32205267|t=ä. YouTube as source of information on 2019 novel coronavirus outbreak: a cross sectional study of English and Mandarin content |pdf=|usr=}} | ||
+ | {{tp|p=32231320|t=2020. Blocking information on COVID-19 can fuel the spread of misinformation |pdf=|usr=}} | ||
+ | {{tp|p=32321859|t=2020. Twitter as a powerful tool for communication between pain physicians during COVID-19 pandemic |pdf=|usr=}} | ||
+ | {{tp|p=32198292|t=2020. Misguided drug advice for COVID-19 |pdf=|usr=}} | ||
+ | {{tp|p=C7180651|t=2020. To Tweet or Not to Tweet?a Review of the Viral Power of Twitter for Infectious Diseases |pdf=|usr=}} | ||
+ | {{tp|p=32338736|t=ä. Twitter-based learning for continuing medical education?: A new perspective for a paradigm shift in medical education, accelerated by COVID-19 |pdf=|usr=}} | ||
+ | {{tp|p=32191341|t=2020. Coronavirus disease 2019: The harms of exaggerated information and non?evidence?based measures |pdf=|usr=}} | ||
+ | {{tp|p=32301040|t=ä. Medical conspiracy theories: cognitive science and implications for ethics |pdf=|usr=}} | ||
+ | {{tp|p=32379194|t=2020. Demand for BCG Vaccine Due to Unproven Claims of its Role in Preventing COVID-19 Is Causing Shortages of Vaccines for Infants in Japan |pdf=|usr=}} | ||
+ | *[https://www.businessinsider.com/nearly-half-of-reopen-america-twitter-accounts-are-bots-report-2020-5?utmSource=twitter&utmContent=referral&utmTerm=topbar&referrer=twitter twitter botwar] | ||
+ | |||
+ | {{tp|p=32250961|t=2020. COVID-19 Related Misinformation on Social Media: A Qualitative Study from Iran |pdf=|usr=}} | ||
+ | {{tp|p=32287039|t=2020. Top Concerns of Tweeters During the COVID-19 Pandemic: Infoveillance Study |pdf=|usr=}} | ||
+ | {{tp|p=32332201|t=2020. Infodemic and the spread of fake news in the COVID-19-era |pdf=|usr=}} |
Aktuelle Version vom 28. Januar 2022, 09:30 Uhr
Politics main page |
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