During the COVID-19 pandemic, people look for coronavirus information to keep their health. However, the more information is in demand, the more rumors and misinformation spread. We call this phenomenon an Infodemic. According to Wikipedia, infodemic is a hybrid word of “information” and “epidemic.” It typically refers to a rapid and far-reaching spread of accurate and inaccurate information about something, such as a disease. To mitigate the harmful impact of infodemics, we need to identify what information the public wants and provide reliable information as quickly as possible.
The Data Science Group of IBS detected public interest in COVID-19 from Wikipedia. By collaborating with Wikimedia Foundation and Max Planck Institute for Human Development, Berlin, Germany, we developed a novel method to retrieve COVID-19 topic related items.
The COVID-19 Wikipedia data is available in Figshare (https://doi.org/10.6084/m9.figshare.13239515.v4) for further research. Also, the code that generates topic related data in Wikipedia is available on Github (Code: https://github.com/jadhvank/COVID19-Wikipedia). For further analysis, have a look at the video above.
CHANGWOOK JUNG / DIEGO SÁEZ-TRUMPER / INHO HONG
and MEEYOUNG CHA