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Wind energy: Influencing the dynamics of the public opinion formation through the retweet network.

Authors :
Mastroeni, Loretta
Naldi, Maurizio
Vellucci, Pierluigi
Source :
Technological Forecasting & Social Change; Sep2023, Vol. 194, pN.PAG-N.PAG, 1p
Publication Year :
2023

Abstract

Wind power is one of the primary renewable sources that are getting increasing support as a means of addressing climate changes. The debate on its use takes place on social media as a fast and unfiltered forum to express one's opinions. In this paper, we analyse the discussion concerning wind power coming up on Twitter. We measure the influence of opinions (and of the twitterers expressing them) by building a retweet network. A strong concentration of retweets is observed through the use of both the retweet distribution and the Hirschman–Herfindahl Index (HHI): the discussion appears to be driven by a handful of twitterers who are heavily retweeted. We provide a classification of such top influencers by their role in society. A single climate activist is, by far, the top influencer. International and governmental agencies come second, and energy consultants come third. Companies play quite a minor role, on a par with generalist individual twitterers, while scientists are the least-retweeted category. Those top influencers are also constantly present from month to month, while the overwhelming majority of twitterers change from month to month. Leading energy-related events appear to have a short-lived influence on the discussion (two weeks after their taking place). • We measure the influence of opinions on Twitter by building a retweet network. • The overwhelming majority of twitterers is made of lone influencers. • High influencers represent a fraction lower than what a power law would assume. • The top influencer often exerts a much stronger influence than his/her runner-up. • Climate activists is the overall top class influencer, even if among them there seems to be no consensus on climate change and renewables. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00401625
Volume :
194
Database :
Supplemental Index
Journal :
Technological Forecasting & Social Change
Publication Type :
Academic Journal
Accession number :
169731127
Full Text :
https://doi.org/10.1016/j.techfore.2023.122748