The spread of low-credibility content by social bots

Autor: Chengcheng Shao, Giovanni Luca Ciampaglia, Onur Varol, Kai-Cheng Yang, Alessandro Flammini, Filippo Menczer
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Nature Communications, Vol 9, Iss 1, Pp 1-9 (2018)
Druh dokumentu: article
ISSN: 2041-1723
DOI: 10.1038/s41467-018-06930-7
Popis: Online misinformation is a threat to a well-informed electorate and undermines democracy. Here, the authors analyse the spread of articles on Twitter, find that bots play a major role in the spread of low-credibility content and suggest control measures for limiting the spread of misinformation.
Databáze: Directory of Open Access Journals