*CFP* "HOW TO SURVIVE WITHIN THE INFORMATION FLOOD AROUND COVID-19", ONLINE 2021 CONCERENCE PAPERS BY THE FACULTY OF SOCIAL SCIENCES AT CHARLES UNIVERSITY

How to survive within the information flood around COVID-19

25th May 2021

ZOOM

 

One of the major societal issues regarding the current COVID-19 pandemic is an overwhelming, often contradictory, flow of information from both legacy and social media. This information influences the attitudes of citizens all around the world especially regarding how they will respond towards taking the necessary measures to prevent the spread of the virus (e.g. wearing of face masks, social distancing, lockdowns, etc.) and vaccination. At the same time, as has been observed by many researchers during the last year, both regional and local media can play a very positive role in sharing helpful information within communities and increasing common resolve to survive these tough times. But many questions remain, such as how to fight the spreading of fake news, how to update editorial principles, and is AI somehow able to support these processes? And how can scientists from other disciplines effectively take part in them?

The online international conference “How to survive within the information flood around COVID-19” organized by the Faculty of Social Sciences at Charles University in Prague (in collaboration with Masaryk University’s Institute of Biostatistics and Analyses and Newton Media company) on 25th May 2021, seeks papers sharing good editorial and journalistic practices on how to fight the described situation, sometimes called infodemia, as well as sharing knowledge about interdisciplinary cooperation. Contributions containing new technologies and AI involvement are especially welcomed. We encourage both scholars and journalists to take part in our conference. The abstract length should not be longer than 350 words and the abstracts should be delivered to The Center of Artificial Intelligence Journalism, Faculty of Social Sciences at Charles University in Prague at the email address aijournalism@fsv.cuni.cz no later than on 31st March 2021. The acceptance or rejection notifications will be sent by 15th April 2021.