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| − | {{pnc}}
| + | complex migration of contents into some POL threads via |
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| − | {{tp|p=32188445|t=2020. Coronavirus: the spread of misinformation |pdf=|usr=}} | + | {{migto|Politics main page}} |
| − | {{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=}}
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| − | {{tp|p=C7152572|t=ä. Coronavirus Goes Viral: Quantifying the COVID-19 Misinformation Epidemic on Twitter |pdf=|usr=}}
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| − | {{tp|p=32241328|t=ä. Limited Early Warnings and Public Attention to Coronavirus Disease 2019 in China, January?February, 2020: A Longitudinal Cohort of Randomly Sampled Weibo Users |pdf=|usr=}}
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| − | {{tp|p=32332201|t=2020. Infodemic and the spread of fake news in the COVID-19-era |pdf=|usr=}}
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| − | {{tp|p=32268929|t=ä. Level of underreporting including underdiagnosis before the first peak of COVID-19 in various countries: Preliminary retrospective results based on wavelets and deterministic modeling |pdf=|usr=}}
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| − | {{tp|p=32363010|t=2020. Do the current cases reported to the WHO provide a realistic incidence rate of countries infected with COVID-19?|pdf=|usr=}}
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| − | {{tp|p=32235433|t=2020. Corona Virus (COVID-19) ?Infodemic? and Emerging Issues through a Data Lens: The Case of China |pdf=|usr=}}
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| − | {{tp|p=32316647|t=2020. Using Social Media to Mine and Analyze Public Opinion Related to COVID-19 in China |pdf=|usr=}}
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| − | *[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]
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| − | *[https://www.frontpagemag.com/point/2020/05/obama-clinton-9th-circuit-judges-suspend-bill-daniel-greenfield/ judges declare the Bill of Rights is suspended until the Coronavirus is cured]
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| − | *[http://freerepublic.com/focus/f-news/3848303/posts They want you divided, and focused on other enemies.]
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| − | {{tp|p=32352383|t=2020. COVID-19 and the 5G Conspiracy Theory: Social Network Analysis of Twitter Data |pdf=|usr=}}
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| − | {{tp|p=32343669|t=2020. Creating COVID-19 Stigma by Referencing the Novel Coronavirus as the ?Chinese virus? on Twitter: Quantitative Analysis of Social Media Data |pdf=|usr=}}
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| − | {{tp|p=32250961|t=2020. COVID-19 Related Misinformation on Social Media: A Qualitative Study from Iran |pdf=|usr=}}
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| − | {{tp|p=32287039|t=2020. Top Concerns of Tweeters During the COVID-19 Pandemic: Infoveillance Study |pdf=|usr=}}
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| − | {{tp|p=32309854|t=ä. World leaders? usage of Twitter in response to the COVID-19 pandemic: a content analysis |pdf=|usr=}}
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| − | {{tp|p=32347895|t=ä. Internet Searches for Unproven COVID-19 Therapies in the United States |pdf=|usr=}}
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| − | {{tp|p=32250960|t=2020. Misinformation of COVID-19 on the Internet: Infodemiology Study |pdf=|usr=}}
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| − | {{tp|p=32222191|t=2020. COVID-19 cacophony: is there any orchestra conductor?|pdf=|usr=}}
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| − | {{tp|p=32122469|t=2020. Anti-Chinese sentiment during the 2019-nCoV outbreak |pdf=|usr=}}
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| − | {{tp|p=32113495|t=2020. How to fight an infodemic |pdf=|usr=}}
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| − | {{tp|p=32059801|t=2020. 2019-nCoV, fake news, and racism |pdf=|usr=}}
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| − | {{tp|p=32224298|t=ä. Historical linkages: epidemic threat, economic risk, and xenophobia |pdf=|usr=}}
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| − | {{tp|p=32305087|t=2020. COVID-19 exacerbating inequalities in the US |pdf=|usr=}}
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| − | {{tp|p=32246915|t=2020. Racism and discrimination in COVID-19 responses |pdf=|usr=}}
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| − | {{tp|p=32322814|t=ä. Building trust while influencing online COVID-19 content in the social media world |pdf=|usr=}}
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