@inproceedings{prabhumoye-etal-2017-linguistic,
title = "Linguistic Markers of Influence in Informal Interactions",
author = "Prabhumoye, Shrimai and
Choudhary, Samridhi and
Spiliopoulou, Evangelia and
Bogart, Christopher and
Rose, Carolyn and
Black, Alan W",
editor = {Hovy, Dirk and
Volkova, Svitlana and
Bamman, David and
Jurgens, David and
O{'}Connor, Brendan and
Tsur, Oren and
Do{\u{g}}ru{\"o}z, A. Seza},
booktitle = "Proceedings of the Second Workshop on {NLP} and Computational Social Science",
month = aug,
year = "2017",
address = "Vancouver, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W17-2908",
doi = "10.18653/v1/W17-2908",
pages = "53--62",
abstract = "There has been a long standing interest in understanding {`}Social Influence{'} both in Social Sciences and in Computational Linguistics. In this paper, we present a novel approach to study and measure interpersonal influence in daily interactions. Motivated by the basic principles of influence, we attempt to identify indicative linguistic features of the posts in an online knitting community. We present the scheme used to operationalize and label the posts as influential or non-influential. Experiments with the identified features show an improvement in the classification accuracy of influence by 3.15{\%}. Our results illustrate the important correlation between the structure of the language and its potential to influence others.",
}
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%0 Conference Proceedings
%T Linguistic Markers of Influence in Informal Interactions
%A Prabhumoye, Shrimai
%A Choudhary, Samridhi
%A Spiliopoulou, Evangelia
%A Bogart, Christopher
%A Rose, Carolyn
%A Black, Alan W.
%Y Hovy, Dirk
%Y Volkova, Svitlana
%Y Bamman, David
%Y Jurgens, David
%Y O’Connor, Brendan
%Y Tsur, Oren
%Y Doğruöz, A. Seza
%S Proceedings of the Second Workshop on NLP and Computational Social Science
%D 2017
%8 August
%I Association for Computational Linguistics
%C Vancouver, Canada
%F prabhumoye-etal-2017-linguistic
%X There has been a long standing interest in understanding ‘Social Influence’ both in Social Sciences and in Computational Linguistics. In this paper, we present a novel approach to study and measure interpersonal influence in daily interactions. Motivated by the basic principles of influence, we attempt to identify indicative linguistic features of the posts in an online knitting community. We present the scheme used to operationalize and label the posts as influential or non-influential. Experiments with the identified features show an improvement in the classification accuracy of influence by 3.15%. Our results illustrate the important correlation between the structure of the language and its potential to influence others.
%R 10.18653/v1/W17-2908
%U https://aclanthology.org/W17-2908
%U https://doi.org/10.18653/v1/W17-2908
%P 53-62
Markdown (Informal)
[Linguistic Markers of Influence in Informal Interactions](https://aclanthology.org/W17-2908) (Prabhumoye et al., NLP+CSS 2017)
ACL
- Shrimai Prabhumoye, Samridhi Choudhary, Evangelia Spiliopoulou, Christopher Bogart, Carolyn Rose, and Alan W Black. 2017. Linguistic Markers of Influence in Informal Interactions. In Proceedings of the Second Workshop on NLP and Computational Social Science, pages 53–62, Vancouver, Canada. Association for Computational Linguistics.