Access the full text.
Sign up today, get DeepDyve free for 14 days.
(2020)
Fighting COVID-19 misinformation on social media experimental evidence for a scalable accuracynudge intervention
Code availability The website presented in the current study uses custom code
(Marcoux T, Mead E, Agarwal N (2020) The Ebb and Flow of the COVID-19 Misinformation Themes. 5th international workshop on mining actionable insights from social networks special edition on dis/misinformation mining from social media (MAISON 2020). Co-located with 29th ACM international conference on information and knowledge management (CIKM 2020), October 20, 2020)
Marcoux T, Mead E, Agarwal N (2020) The Ebb and Flow of the COVID-19 Misinformation Themes. 5th international workshop on mining actionable insights from social networks special edition on dis/misinformation mining from social media (MAISON 2020). Co-located with 29th ACM international conference on information and knowledge management (CIKM 2020), October 20, 2020Marcoux T, Mead E, Agarwal N (2020) The Ebb and Flow of the COVID-19 Misinformation Themes. 5th international workshop on mining actionable insights from social networks special edition on dis/misinformation mining from social media (MAISON 2020). Co-located with 29th ACM international conference on information and knowledge management (CIKM 2020), October 20, 2020, Marcoux T, Mead E, Agarwal N (2020) The Ebb and Flow of the COVID-19 Misinformation Themes. 5th international workshop on mining actionable insights from social networks special edition on dis/misinformation mining from social media (MAISON 2020). Co-located with 29th ACM international conference on information and knowledge management (CIKM 2020), October 20, 2020
R. Kouzy, J. Jaoude, A. Kraitem, Molly Alam, Basil Karam, E. Adib, Jabra Zarka, C. Traboulsi, E. Akl, Khalil Baddour (2020)
Coronavirus Goes Viral: Quantifying the COVID-19 Misinformation Epidemic on TwitterCureus, 12
Kristin Decker (2016)
Ebb And Flow
(Kouzy R et al. (2020) Coronavirus goes viral: quantifying the COVID-19 misinformation epidemic on Twitter. eng. In: Cureus12.3 Publisher: Cureus, e7255–e7255. issn: 2168–8184. doi:10.7759/cureus.7255)
Kouzy R et al. (2020) Coronavirus goes viral: quantifying the COVID-19 misinformation epidemic on Twitter. eng. In: Cureus12.3 Publisher: Cureus, e7255–e7255. issn: 2168–8184. doi:10.7759/cureus.7255Kouzy R et al. (2020) Coronavirus goes viral: quantifying the COVID-19 misinformation epidemic on Twitter. eng. In: Cureus12.3 Publisher: Cureus, e7255–e7255. issn: 2168–8184. doi:10.7759/cureus.7255, Kouzy R et al. (2020) Coronavirus goes viral: quantifying the COVID-19 misinformation epidemic on Twitter. eng. In: Cureus12.3 Publisher: Cureus, e7255–e7255. issn: 2168–8184. doi:10.7759/cureus.7255
Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations
Qian Liu, Zequan Zheng, Jiabin Zheng, Qiuyi Chen, Guan Liu, Sihan Chen, Bojia Chu, Hongyu Zhu, B. Akinwunmi, Jian Huang, Casper Zhang, W. Ming (2020)
Health Communication Through News Media During the Early Stage of the COVID-19 Outbreak in China: Digital Topic Modeling ApproachJournal of Medical Internet Research, 22
The COVID-19 pandemic has seen the rise of many unique online narratives through social media and other sources. They can range from theories about the origin of the virus, to misinformation regarding personal health measures. Such narratives have a direct impact on public health and safety. In an effort to inform the general public and with support of the Arkansas Attorney General’s office our team sought to keep track of narratives for research purposes and provide near-real-time public documentation via a website with two main goals. The first is to track every unique narrative as curated by our analysts. This allows individuals to fact-check the information they consume. The second goal is to relay recommendations to the State Attorney General on how to detect such misinformation and avoid fraud and scams seeking to profit from this online fear and chaos. This paper showcases our website as well as some research findings from the data we collected. More broadly, this effort showcases a unique collaboration between scientists and policy makers to stem the flow of misinformation during a major public health crisis.
Social Network Analysis and Mining – Springer Journals
Published: May 5, 2021
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.