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India 2014

Facebook ‘Like’ as a Predictor of Election Outcomes

Bibliographic Data

ID6233501
AuthorsFrancis Philip Barclay (0000-0002-7361-9651), C Pichandy, Anusha Venkat, Sreedevi Sudhakaran
Year2015
Volume23
Issue2
Pages134-160
Publication date2015-05-04
Open AccessNo
TypeARTICLE
VenueAsian Journal of Political Science (JOURNAL)
Journal identifiersISSN: 0218-5377 • E-ISSN: 1750-7812
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/02185377.2015.1020319
OpenAlexW2027176146
LanguageEN
Citations received5
References cited14

Can the count of 'likes' recorded on the Facebook page of a party predict whether it will win the elections or not? To answer this question in the Indian setting in the context of the 2014 Lok Sabha elections, the political trend on Facebook was estimated using the numbers of 'likes' recorded on verified Facebook fan pages during the period of study—24 January to 12 May 2014. A strong positive correlation was found to exist between the number of 'likes' a party or its leader secured on their official Facebook fan page and their popular vote share. A single latent variable—presumably, the political preferences of the people—explained 91.37% of the total variance in those two variables. Furthermore, the time period during which the 'likes' were recorded was found to have a moderating effect on the positive relationship between the 'likes' and votes. It was found that the month preceding the voting period was the best to predict the vote share using 'likes'—with 86.6% accuracy

Advertising · Business · Context (archaeology · Economics · General election · Period (music · Political science · Politics · Statistics · Variance (accounting · Voting · History · Law · Mathematics · Media Influence and Politics · Misinformation and Its Impacts · Psychology · Social Media and Politics · Social Psychology

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Citations per year0.56
Citation span2017 - 2024 (8)
Highly citedNo

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