The COVID-19 social media infodemic

被引：974

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
[J]. 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
[J]. 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
[J]. BIG DATA & SOCIETY, 2021, 8 (01):
[44] COVID-19: time to flatten the infodemic curve
Anastasios Tentolouris
Ioannis Ntanasis-Stathopoulos
Panayotis K. Vlachakis
Diamantis I. Tsilimigras
Maria Gavriatopoulou
Meletios A. Dimopoulos
[J]. Clinical and Experimental Medicine, 2021, 21 : 161 - 165
[45] Physicians' Role in the COVID-19 Infodemic: A Reflection
Blankenship, Sydney B.
Nakano-Okuno, Mariko
Zhong, Rocksheng
[J]. SOUTHERN MEDICAL JOURNAL, 2021, 114 (12) : 812 - 814
[46] The ethical challenges of the infodemic: The case of COVID-19
Ramos Pozon, Sergio
[J]. LLENGUA SOCIETAT I COMUNICACIO, 2021, (19): : 60 - 66
[47] Offline: Managing the COVID-19 vaccine infodemic
Horton, Richard
[J]. LANCET, 2020, 396 (10261): : 1474 - 1474
[48] Coronaphobia, infodemic and fakes during COVID-19
Burkova, Valentina Nikolaevna
Butovskaya, Marina Lvovna
[J]. SIBERIAN HISTORICAL RESEARCH-SIBIRSKIE ISTORICHESKIE ISSLEDOVANIYA, 2023, (02): : 55 - 75
[49] 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
[J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (13)
[50] Information Overload and Infodemic in the COVID-19 Pandemic
Rathore, Farooq Azam
Farooq, Fareeha
[J]. JOURNAL OF THE PAKISTAN MEDICAL ASSOCIATION, 2020, 70 (05) : S162 - S165

← 1 2 3 4 5 →