[HTML][HTML] Impact of Trump's promotion of unproven COVID-19 treatments and subsequent internet trends: observational study

K Niburski, O Niburski - Journal of medical Internet research, 2020 - jmir.org
Background Individuals with large followings can influence public opinions and behaviors,
especially during a pandemic. In the early days of the pandemic, US president Donald J …

[HTML][HTML] Toward using Twitter for tracking COVID-19: a natural language processing pipeline and exploratory data set

AZ Klein, A Magge, K O'Connor, JI Flores Amaro… - Journal of medical …, 2021 - jmir.org
Background In the United States, the rapidly evolving COVID-19 outbreak, the shortage of
available testing, and the delay of test results present challenges for actively monitoring its …

Using Twitter data to understand public perceptions of approved versus off-label use for COVID-19-related medications

Y Hua, H Jiang, S Lin, J Yang, JM Plasek… - Journal of the …, 2022 - academic.oup.com
Objective Understanding public discourse on emergency use of unproven therapeutics is
essential to monitor safe use and combat misinformation. We developed a natural language …

[HTML][HTML] Global infodemiology of COVID-19: analysis of Google web searches and Instagram hashtags

A Rovetta, AS Bhagavathula - Journal of medical Internet research, 2020 - jmir.org
Background: Although “infodemiological” methods have been used in research on
coronavirus disease (COVID-19), an examination of the extent of infodemic moniker …

[HTML][HTML] Creating COVID-19 stigma by referencing the novel coronavirus as the “Chinese virus” on Twitter: quantitative analysis of social media data

H Budhwani, R Sun - Journal of medical Internet research, 2020 - jmir.org
Background Stigma is the deleterious, structural force that devalues members of groups that
hold undesirable characteristics. Since stigma is created and reinforced by society—through …

Misinformation dissemination in Twitter in the COVID-19 era

C Krittanawong, B Narasimhan, HUH Virk… - The American journal …, 2020 - amjmed.com
Twitter offers a potentially novel investigation line to evaluate self-perception and awareness
in the context of the public health response to the coronavirus disease (COVID-19) …

[HTML][HTML] Top concerns of tweeters during the COVID-19 pandemic: infoveillance study

A Abd-Alrazaq, D Alhuwail, M Househ, M Hamdi… - Journal of medical …, 2020 - jmir.org
Background The recent coronavirus disease (COVID-19) pandemic is taking a toll on the
world's health care infrastructure as well as the social, economic, and psychological well …

[HTML][HTML] Understanding the public discussion about the Centers for Disease Control and Prevention during the COVID-19 pandemic using Twitter data: Text mining …

JC Lyu, GK Luli - Journal of Medical Internet Research, 2021 - jmir.org
Background: The Centers for Disease Control and Prevention (CDC) is a national public
health protection agency in the United States. With the escalating impact of the COVID-19 …

[HTML][HTML] Political partisanship and antiscience attitudes in online discussions about COVID-19: Twitter content analysis

A Rao, F Morstatter, M Hu, E Chen, K Burghardt… - Journal of medical …, 2021 - jmir.org
Background The novel coronavirus pandemic continues to ravage communities across the
United States. Opinion surveys identified the importance of political ideology in shaping …

[HTML][HTML] Framing of and attention to COVID-19 on Twitter: thematic analysis of hashtags

I Tahamtan, D Potnis, E Mohammadi, LE Miller… - Journal of medical …, 2021 - jmir.org
Background Although past research has focused on COVID-19–related frames in the news
media, such research may not accurately capture and represent the perspectives of people …