Learn Before
Literature on COVID-19 Misinformation on Twitter
- "Detecting COVID-19 Misinformation on Social Media"
- "A first look at COVID-19 information and misinformation sharing on Twitter"
- "Coronavirus goes viral: quantifying the COVID-19 misinformation epidemic on Twitter"
- "Types, Sources, and Claims of COVID-19 Misinformation"
- "The COVID‑19 social media infodemic"
- "Characterizing COVID-19 Misinformation Communities Using a Novel Twitter Dataset"
- "COVID-19 infodemic: More retweets for science-based information on coronavirus than for false information"
- "Prevalence of low-credibility information on twitter during the covid-19 outbreak"
- "Top concerns of tweeters during the COVID-19 pandemic: infoveillance study"
- "Misinformation Warning Labels: Twitter's Soft Moderation Effects on COVID-19 Vaccine Belief Echoes"
- "Mining Trends of COVID-19 Vaccine Beliefs on Twitter with Lexical Embeddings"
- "An exploratory study of COVID-19 misinformation on Twitter"
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Contributors are:
Who are from:
Tags
CSCW (Computer-supported cooperative work)
Computing Sciences
Learn After
Detecting COVID-19 Misinformation on Social Media
Coronavirus goes viral: quantifying the COVID-19 misinformation epidemic on Twitter
The COVID‑19 social media infodemic
Characterizing COVID-19 Misinformation Communities Using a Novel Twitter Dataset
Types, Sources, and Claims of COVID-19 Misinformation
A first look at COVID-19 information and misinformation sharing on Twitter
COVID-19 infodemic: More retweets for science-based information on coronavirus than for false information
Top concerns of tweeters during the COVID-19 pandemic: infoveillance study
Prevalence of low-credibility information on twitter during the covid-19 outbreak
Misinformation Warning Labels: Twitter's Soft Moderation Effects on COVID-19 Vaccine Belief Echoes
An exploratory study of COVID-19 misinformation on Twitter
Mining Trends of COVID-19 Vaccine Beliefs on Twitter with Lexical Embeddings