The COVID-19 social media infodemic

被引：1049

作者：

Cinelli, Matteo ^{[1
,2
]}

Quattrociocchi, Walter ^{[1
,2
,3
]}

Galeazzi, Alessandro ^{[4
]}

Valensise, Carlo Michele ^{[5
]}

Brugnoli, Emanuele ^{[1
]}

Schmidt, Ana Lucia ^{[2
]}

Zola, Paola ^{[6
]}

Zollo, Fabiana ^{[1
,2
,7
]}

Scala, Antonio ^{[1
,3
]}

机构：

[1] CNR, ISC, Rome, Italy

[2] Univ Ca Foscari Venezia, Venice, Italy

[3] Big Data Hlth Soc, Rome, Italy

[4] Univ Brescia, Brescia, Italy

[5] Politecn Milan, Milan, Italy

[6] CNR, IIT, Pisa, Italy

[7] Ctr Humanities & Social Change, Venice, Italy

来源：

SCIENTIFIC REPORTS | 2020年 / 10卷 / 01期

关键词：

NEWS; TWITTER; SPREAD;

D O I：

10.1038/s41598-020-73510-5

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

We address the diffusion of information about the COVID-19 with a massive data analysis on Twitter, Instagram, YouTube, Reddit and Gab. We analyze engagement and interest in the COVID-19 topic and provide a differential assessment on the evolution of the discourse on a global scale for each platform and their users. We fit information spreading with epidemic models characterizing the basic reproduction number R0 for each social media platform. Moreover, we identify information spreading from questionable sources, finding different volumes of misinformation in each platform. However, information from both reliable and questionable sources do not present different spreading patterns. Finally, we provide platform-dependent numerical estimates of rumors' amplification.

引用

页数：10

共 50 条

[41] Misinformation and Covid-19 Infodemic: Identifying Offline Social Spaces for Infodemic Diffusion in Selected Communities in Northern Nigeria
Hayatu, Muhammad Musa
Nasidi, Nadir A.
Adam, Usman Ahmed
Zakaria, Ahmed
QUALITATIVE & QUANTITATIVE METHODS IN LIBRARIES, 2024, 13 (02): : 243 - 260
[42] Is it the COVID-19 happy hypoxia syndrome or the COVID 19 infodemic syndrome?
Sahu, Dipit
Agrawal, Tushar
DIABETES & METABOLIC SYNDROME-CLINICAL RESEARCH & REVIEWS, 2020, 14 (05) : 1399 - 1399
[43] The COVID-19 Infodemic: Twitter versus Facebook
Yang, Kai-Cheng
Pierri, Francesco
Hui, Pik-Mai
Axelrod, David
Torres-Lugo, Christopher
Bryden, John
Menczer, Filippo
BIG DATA & SOCIETY, 2021, 8 (01):
[44] The ethical challenges of the infodemic: The case of COVID-19
Ramos Pozon, Sergio
LLENGUA SOCIETAT I COMUNICACIO, 2021, (19): : 60 - 66
[45] Physicians' Role in the COVID-19 Infodemic: A Reflection
Blankenship, Sydney B.
Nakano-Okuno, Mariko
Zhong, Rocksheng
SOUTHERN MEDICAL JOURNAL, 2021, 114 (12) : 812 - 814
[46] COVID-19: time to flatten the infodemic curve
Anastasios Tentolouris
Ioannis Ntanasis-Stathopoulos
Panayotis K. Vlachakis
Diamantis I. Tsilimigras
Maria Gavriatopoulou
Meletios A. Dimopoulos
Clinical and Experimental Medicine, 2021, 21 : 161 - 165
[47] Exploring social media users' disclosures of negative information during the COVID-19 infodemic: the moderating role of personality traits
Zhao, Laijun
Su, Xiaoxia
Zhou, Lixin
Li, Huiyong
Yang, Pingle
Qian, Ying
ONLINE INFORMATION REVIEW, 2025,
[48] Coronaphobia, infodemic and fakes during COVID-19
Burkova, Valentina Nikolaevna
Butovskaya, Marina Lvovna
SIBERIAN HISTORICAL RESEARCH-SIBIRSKIE ISTORICHESKIE ISSLEDOVANIYA, 2023, (02): : 55 - 75
[49] Offline: Managing the COVID-19 vaccine infodemic
Horton, Richard
LANCET, 2020, 396 (10261): : 1474 - 1474
[50] The Effects of Receiving and Expressing Health Information on Social Media during the COVID-19 Infodemic: An Online Survey among Malaysians
Zhang, Hongjie
Tham, Jen Sern
Waheed, Moniza
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (13)

← 1 2 3 4 5 →