A first look at COVID-19 information and misinformation sharing on Twitter
Not on the map. Why?
Abstract (arXiv)
Since December 2019, COVID-19 has been spreading rapidly across the world. Not surprisingly, conversation about COVID-19 is also increasing. This article is a first look at the amount of conversation taking place on social media, specifically Twitter, with respect to COVID-19, the themes of discussion, where the discussion is emerging from, myths shared about the virus, and how much of it is connected to other high and low quality information on the Internet through shared URL links. Our preliminary findings suggest that a meaningful spatio-temporal relationship exists between information flow and new cases of COVID-19, and while discussions about myths and links to poor quality information exist, their presence is less dominant than other crisis specific themes. This research is a first step toward understanding social media conversation about COVID-19.
Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). First posted on arXiv 31 Mar 2020.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 7; 2022: 3; 2023: 1; 2024: 1; 2025: 0; 2026: 1.
13 papers.
Sort:
By area:
- 2022CoVERT: A Corpus of Fact-checked Biomedical COVID-19 Tweetscited by 29
- 2021Model Generalization on COVID-19 Fake News Detectioncited by 11
- 2021Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of COVID-19 Infodemiccited by 9
- 2021COVID-19 Vaccine Misinformation Campaigns and Social Media Narrativescited by 7
- 2022Construction of Large-Scale Misinformation Labeled Datasets from Social Media Discourse using Label Refinementcited by 4
- 2021Eating Garlic Prevents COVID-19 Infection: Detecting Misinformation on the Arabic Content of Twittercited by 1
- 2021Looking for COVID-19 misinformation in multilingual social media textscited by 1
- 2021Tell Me Who Your Friends Are: Using Content Sharing Behavior for News Source Veracity Detectioncited by 0
- 2021Case Study on Detecting COVID-19 Health-Related Misinformation in Social Mediacited by 0
- 2022A Weakly-Supervised Iterative Graph-Based Approach to Retrieve COVID-19 Misinformation Topicscited by 0
- 2023A Large-Scale Comparative Study of Accurate COVID-19 Information versus Misinformationcited by 0
- 2024SocialNLP Fake-EmoReact 2021 Challenge Overview: Predicting Fake Tweets from Their Replies and GIFscited by 0
- 2026Agentic Mixed-Source Multi-Modal Misinformation Detection with Adaptive Test-Time Scaling3 Mar 2026
- 2024SocialNLP Fake-EmoReact 2021 Challenge Overview: Predicting Fake Tweets from Their Replies and GIFs31 May 2024
- 2023A Large-Scale Comparative Study of Accurate COVID-19 Information versus Misinformation10 Apr 2023
- 2022A Weakly-Supervised Iterative Graph-Based Approach to Retrieve COVID-19 Misinformation Topics19 May 2022
- 2022CoVERT: A Corpus of Fact-checked Biomedical COVID-19 Tweets26 Apr 2022
- 2022Construction of Large-Scale Misinformation Labeled Datasets from Social Media Discourse using Label Refinement24 Feb 2022
- 2021Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of COVID-19 Infodemic22 Jun 2021
- 2021COVID-19 Vaccine Misinformation Campaigns and Social Media Narratives15 Jun 2021
- 2021Case Study on Detecting COVID-19 Health-Related Misinformation in Social Media12 Jun 2021
- 2021Looking for COVID-19 misinformation in multilingual social media texts3 May 2021
- 2021Tell Me Who Your Friends Are: Using Content Sharing Behavior for News Source Veracity Detection15 Jan 2021
- 2021Model Generalization on COVID-19 Fake News Detection11 Jan 2021
- 2022CoVERT: A Corpus of Fact-checked Biomedical COVID-19 Tweetscited by 29
- 2021Model Generalization on COVID-19 Fake News Detectioncited by 11
- 2021Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of COVID-19 Infodemiccited by 9
- 2021COVID-19 Vaccine Misinformation Campaigns and Social Media Narrativescited by 7
- 2022Construction of Large-Scale Misinformation Labeled Datasets from Social Media Discourse using Label Refinementcited by 4
- 2021Eating Garlic Prevents COVID-19 Infection: Detecting Misinformation on the Arabic Content of Twittercited by 1
- 2021Looking for COVID-19 misinformation in multilingual social media textscited by 1
- 2021Tell Me Who Your Friends Are: Using Content Sharing Behavior for News Source Veracity Detectioncited by 0
- 2021Case Study on Detecting COVID-19 Health-Related Misinformation in Social Mediacited by 0
- 2022A Weakly-Supervised Iterative Graph-Based Approach to Retrieve COVID-19 Misinformation Topicscited by 0
- 2023A Large-Scale Comparative Study of Accurate COVID-19 Information versus Misinformationcited by 0
- 2024SocialNLP Fake-EmoReact 2021 Challenge Overview: Predicting Fake Tweets from Their Replies and GIFscited by 0
- 2024SocialNLP Fake-EmoReact 2021 Challenge Overview: Predicting Fake Tweets from Their Replies and GIFs31 May 2024
- 2023A Large-Scale Comparative Study of Accurate COVID-19 Information versus Misinformation10 Apr 2023
- 2022A Weakly-Supervised Iterative Graph-Based Approach to Retrieve COVID-19 Misinformation Topics19 May 2022
- 2022CoVERT: A Corpus of Fact-checked Biomedical COVID-19 Tweets26 Apr 2022
- 2022Construction of Large-Scale Misinformation Labeled Datasets from Social Media Discourse using Label Refinement24 Feb 2022
- 2021Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of COVID-19 Infodemic22 Jun 2021
- 2021COVID-19 Vaccine Misinformation Campaigns and Social Media Narratives15 Jun 2021
- 2021Case Study on Detecting COVID-19 Health-Related Misinformation in Social Media12 Jun 2021
- 2021Looking for COVID-19 misinformation in multilingual social media texts3 May 2021
- 2021Tell Me Who Your Friends Are: Using Content Sharing Behavior for News Source Veracity Detection15 Jan 2021
- 2021Model Generalization on COVID-19 Fake News Detection11 Jan 2021
- 2021Eating Garlic Prevents COVID-19 Infection: Detecting Misinformation on the Arabic Content of Twitter9 Jan 2021