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Debate on online social networks at the time of COVID-19: An Italian case study

Trevisan, Martino
•
Vassio, Luca
•
Giordano, Danilo
2021
  • journal article

Periodico
ONLINE SOCIAL NETWORKS AND MEDIA
Abstract
The COVID-19 pandemic is not only having a heavy impact on healthcare but also changing people’s habits and the society we live in. Countries such as Italy have enforced a total lockdown lasting several months, with most of the population forced to remain at home. During this time, online social networks, more than ever, have represented an alternative solution for social life, allowing users to interact and debate with each other. Hence, it is of paramount importance to understand the changing use of social networks brought about by the pandemic. In this paper, we analyze how the interaction patterns around popular influencers in Italy changed during the first six months of 2020, within Instagram and Facebook social networks. We collected a large dataset for this group of public figures, including more than 54 million comments on over 140 thousand posts for these months. We analyze and compare engagement on the posts of these influencers and provide quantitative figures for aggregated user activity. We further show the changes in the patterns of usage before and during the lockdown, which demonstrated a growth of activity and sizable daily and weekly variations. We also analyze the user sentiment through the psycholinguistic properties of comments, and the results testified the rapid boom and disappearance of topics related to the pandemic. To support further analyses, we release the anonymized dataset.
DOI
10.1016/j.osnem.2021.100136
Archivio
http://hdl.handle.net/11368/3025165
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85104408779
https://www.sciencedirect.com/science/article/pii/S2468696421000203
Diritti
open access
license:copyright dell'editore
license:creative commons
license uri:publisher
license uri:http://creativecommons.org/licenses/by-nc-nd/4.0/
FVG url
https://arts.units.it/request-item?handle=11368/3025165
Soggetti
  • Social network

  • Big Data

  • COVID-19

  • Facebook

  • Instagram

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