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|How do sentiments affect virality on Twitter?
|Jiménez-Zafra, Salud M.
Sáez-Castillo, Antonio J.
Martín-Valdivia, M. Teresa
|Virality on Twitter is catching the attention of researchers, trying to identify factors which increase or decrease the probability of retweeting. We study how terms expressing sentiments affect retweeting frequencies by means of a regression model on the number of retweets, which is specially accurate to deal with virality. We focus on the Spanish political situation during the pseudo-referendum held in Catalonia on 1 October 2017. We have found that the use of negativity in a tweet increases the probability of retweeting and that iSOL lexicon is the one that better determines the relationship between polarity and virality.
Generalized Waring Regression
|This work has been partially supported by a grant from Fondo Social Europeo, Administration of the Junta de Andalucía (DOC_01073), Ministerio de Educación Cultura y Deporte (MECD – scholarship FPU014/00983), Fondo Europeo de Desarrollo Regional (FEDER) and LIVING-LANG project (RTI2018-094653-B-C21) from the Spanish Government.
|The Royal Society
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