@inproceedings{mahajan-shaikh-2020-studying,
title = "Studying The Effect of Emotional and Moral Language on Information Contagion during the Charlottesville Event",
author = "Mahajan, Khyati and
Shaikh, Samira",
editor = "Cunha, Rossana and
Shaikh, Samira and
Varis, Erika and
Georgi, Ryan and
Tsai, Alicia and
Anastasopoulos, Antonios and
Chandu, Khyathi Raghavi",
booktitle = "Proceedings of the Fourth Widening Natural Language Processing Workshop",
month = jul,
year = "2020",
address = "Seattle, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.winlp-1.34",
doi = "10.18653/v1/2020.winlp-1.34",
pages = "128--130",
abstract = "We highlight the contribution of emotional and moral language towards information contagion online. We find that retweet count on Twitter is significantly predicted by the use of negative emotions with negative moral language. We find that a tweet is less likely to be retweeted (hence less engagement and less potential for contagion) when it has emotional language expressed as anger along with a specific type of moral language, known as authority-vice. Conversely, when sadness is expressed with authority-vice, the tweet is more likely to be retweeted. Our findings indicate how emotional and moral language can interact in predicting information contagion.",
}
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<abstract>We highlight the contribution of emotional and moral language towards information contagion online. We find that retweet count on Twitter is significantly predicted by the use of negative emotions with negative moral language. We find that a tweet is less likely to be retweeted (hence less engagement and less potential for contagion) when it has emotional language expressed as anger along with a specific type of moral language, known as authority-vice. Conversely, when sadness is expressed with authority-vice, the tweet is more likely to be retweeted. Our findings indicate how emotional and moral language can interact in predicting information contagion.</abstract>
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%0 Conference Proceedings
%T Studying The Effect of Emotional and Moral Language on Information Contagion during the Charlottesville Event
%A Mahajan, Khyati
%A Shaikh, Samira
%Y Cunha, Rossana
%Y Shaikh, Samira
%Y Varis, Erika
%Y Georgi, Ryan
%Y Tsai, Alicia
%Y Anastasopoulos, Antonios
%Y Chandu, Khyathi Raghavi
%S Proceedings of the Fourth Widening Natural Language Processing Workshop
%D 2020
%8 July
%I Association for Computational Linguistics
%C Seattle, USA
%F mahajan-shaikh-2020-studying
%X We highlight the contribution of emotional and moral language towards information contagion online. We find that retweet count on Twitter is significantly predicted by the use of negative emotions with negative moral language. We find that a tweet is less likely to be retweeted (hence less engagement and less potential for contagion) when it has emotional language expressed as anger along with a specific type of moral language, known as authority-vice. Conversely, when sadness is expressed with authority-vice, the tweet is more likely to be retweeted. Our findings indicate how emotional and moral language can interact in predicting information contagion.
%R 10.18653/v1/2020.winlp-1.34
%U https://aclanthology.org/2020.winlp-1.34
%U https://doi.org/10.18653/v1/2020.winlp-1.34
%P 128-130
Markdown (Informal)
[Studying The Effect of Emotional and Moral Language on Information Contagion during the Charlottesville Event](https://aclanthology.org/2020.winlp-1.34) (Mahajan & Shaikh, WiNLP 2020)
ACL