Chinese dataset on COVID-19 misinformation. CHECKED provides ground-truth on credibility, carefully obtained by ensuring the specific sources are used. CHECKED includes microblogs related to COVID-19, identified by using a specific list of keywords, covering a total 2120 microblogs published from December 2019 to August 2020. The dataset contains a rich set of multimedia information for each microblog including ground-truth label, textual, visual, response, and social network information.
5 PAPERS • NO BENCHMARKS YET
MuMiN is a misinformation graph dataset containing rich social media data (tweets, replies, users, images, articles, hashtags), spanning 21 million tweets belonging to 26 thousand Twitter threads, each of which have been semantically linked to 13 thousand fact-checked claims across dozens of topics, events and domains, in 41 different languages, spanning more than a decade.
4 PAPERS • 3 BENCHMARKS
GeoCoV19 is a large-scale Twitter dataset containing more than 524 million multilingual tweets. The dataset contains around 378K geotagged tweets and 5.4 million tweets with Place information. The annotations include toponyms from the user location field and tweet content and resolve them to geolocations such as country, state, or city level. In this case, 297 million tweets are annotated with geolocation using the user location field and 452 million tweets using tweet content.
3 PAPERS • NO BENCHMARKS YET
This paper analyses two hitherto unstudied sites sharing state-backed disinformation, Reliable Recent News (rrn.world) and WarOnFakes (waronfakes.com), which publish content in Arabic, Chinese, English, French, German, and Spanish.
1 PAPER • NO BENCHMARKS YET
NAIST COVID is a multilingual dataset of social media posts related to COVID-19, consisting of microblogs in English and Japanese from Twitter and those in Chinese from Weibo. The data cover microblogs from January 20, 2020, to March 24, 2020.