Twitter Analysis of Covid-19 Misinformation in Spain

被引：0

作者：

Saby, Diego ^{[1
]}

Philippe, Olivier ^{[1
]}

Buslon, Nataly ^{[1
]}

del Valle, Javier ^{[1
]}

Puig, Oriol ^{[1
]}

Salaverria, Ramon ^{[2
]}

Jose Rementeria, Maria ^{[1
]}

机构：

[1] Barcelona Supercomp Ctr, Barcelona, Spain

[2] Univ Navarra, Pamplona, Spain

来源：

COMPUTATIONAL DATA AND SOCIAL NETWORKS, CSONET 2021 | 2021年 / 13116卷

关键词：

Misinformation diffusion; Twitter influence; Network analysis;

D O I：

10.1007/978-3-030-91434-9_24

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A graph analysis on the tweets and users networks from a set of curated news was done to study the existing difference in communication patterns between legitimate and misinformation news. Our findings suggest there is no difference in the influence of misinformation and legitimate news but misinformation news tend to be more shared and present than legitimate news, meaning that while misinformation tweets do not have more influence, their authors are more prolific. Misinformation reach wider audience even if the tweets, individually, are not more influential. A subsequent qualitative analysis on the users reveal that there is also influence of misinformation spreading in Spain from other Spanish speaking countries.

引用

页码：267 / 278

页数：12

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