- Researchers interested in studying the dissemination of COVID-19 publications through tweets versus citations
- Used LitCovid to collect 1328 publications from January 1 to March 18, 2020 
- Used sign tests and negative binomial regression to compare tweet vs. citation rates and quantify the relationship between tweet rate and article topic, author location, and citation count 
- Results showed that COVID-19 publications had significantly more tweets than citations

An analysis of COVID-19 article dissemination by Twitter compared to citation rates

- Researchers studied the similarities and differences between 3 models (simulated SIR model, observed SIR model based on Covid-19 cases, and observed information cascades on Twitter) to compare how Covid-19 information is spread 
- Want to measure similarities and differences between Twitter and individual diffusion
- SIR is a compartmental model used to study how information is passed on and spread through social networks 

Research questions
- What are the diffusion patterns of COVID-19 virus spread, based on SIRsim and SIRemp?
- What are the diffusion patterns of information cascades on Twitter (INFOcas), with respect to retweets, quote tweets, and replies?
- What are the major differences in diffusion patterns between SIRsim, SIRemp, and INFOcas?

COVID‐19 pandemic and information diffusion analysis on Twitter

- Researchers conducted both quantitative and qualitative analyses of Weibo posts about Covid-19 to see if they’re indicative or even predictive of the number of cases reported and study the most commonly discussed Covid-19-related topics on Weibo 
- Sina Weibo is the Chinese equivalent of Twitter and is largely used to share all sorts of content
- Weibo users’ discussions and perceptions altered with the release of new information
- There is a positive correlation between Weibo posts about Covid-19 and the number of cases officially reported in Wuhan at the beginning of the pandemic, meaning that Weibo posts can be used as a measure of changes in case counts 

Data mining and content analysis of the Chinese social media platform Weibo during the early COVID-19 outbreak: retrospective observational infoveillance study

- "An empirical study on Twitter’s use and crisis retweeting dynamics amid Covid-19"
- "An analysis of COVID-19 article dissemination by Twitter compared to citation rates"
- "Data mining and content analysis of the Chinese social media platform Weibo during the early COVID-19 outbreak: retrospective observational infoveillance study"
- "COVID‐19 pandemic and information diffusion analysis on Twitter"

University of Michigan - Ann Arbor

Twitter has been used for academic discussions and research related to COVID-19. 

COVID-19 Research on Twitter

- "Tracking the Twitter attention around the research efforts on the COVID-19 pandemic" 
- "Twitter as a powerful tool for communication between pain physicians during COVID-19 pandemic"
- "A scientometric overview of CORD-19"
- "Causal modeling of twitter activity during covid-19"
- "Using altmetrics for detecting impactful research in quasi-zero-day time-windows: the case of COVID-19"
- "COVID-19 publications: Database coverage, citations, readers, tweets, news, Facebook walls, Reddit posts"

Literature on COVID-19 Research on Twitter

- "#Covid4Rheum: an analytical twitter study in the time of the COVID-19 pandemic"
- "Characterization of the #Radiology Twitter Conversation During the Global COVID-19 Pandemic"
- "Social Media and the New World of Scientific Communication During the COVID-19 Pandemic"
- "International expert communities on Twitter become more isolated during the COVID-19 pandemic"
- "Experts and authorities receive disproportionate attention on Twitter during the COVID-19 crisis"
- "Examining risk and crisis communications of government agencies and stakeholders during early-stages of COVID-19 on Twitter"
- "Mining Physicians’ Opinions on Social Media to Obtain Insights
Into COVID-19: Mixed Methods Analysis"
- "Tracking the Twitter attention around the research efforts on the COVID-19 pandemic"
- "A large-scale COVID-19 Twitter chatter dataset for open scientific research - an international collaboration"
- "The COVID-19 Infodemic: The complex task of elevating signal and eliminating noise"
- "Emergency Medicine Influencers’ Twitter Use During the COVID-19 Pandemic: A Mixed-methods Analysis"
- "World leaders’ usage of Twitter in response to the COVID-19 pandemic: a content analysis"

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