Infodemia and COVID-19: a text mining analysis

Abstract Introduction Covid-19 epidemic lead a huge use of social media to comment and spread information from the widest sources. Infodemia looks at excessive amount of information circulating, which makes it difficult to orientate communities on a given topic due to the difficulty of identifying r...

Full description

Saved in:

Bibliographic Details
Published in:	European journal of public health 2020-09, Vol.30 (Supplement_5)
Main Author:	De Caro, W
Format:	Article
Language:	English
Subjects:	Attitudes Computer mediated communication Content analysis Coronaviruses COVID-19 Data mining Digital media Emergencies Emotions Epidemics Government agencies Health authorities Health information Information Mass media effects Misinformation Parallel Programme Public figures Public health Public interest Public officials Public opinion Real time Sentiment analysis Social capital Social interactions Social media Social networks Social participation Social support Temporal perception Time Viral diseases
Citations:	Items that cite this one
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!