Linguistic Markers of Influence in Informal Interactions
Shrimai Prabhumoye, Samridhi Choudhary, Evangelia Spiliopoulou, Christopher Bogart, Carolyn Rose, Alan W Black
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.- Anthology ID:
- W17-2908
- Volume:
- Proceedings of the Second Workshop on NLP and Computational Social Science
- Month:
- August
- Year:
- 2017
- Address:
- Vancouver, Canada
- Editors:
- Dirk Hovy, Svitlana Volkova, David Bamman, David Jurgens, Brendan O’Connor, Oren Tsur, A. Seza Doğruöz
- Venue:
- NLP+CSS
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 53–62
- Language:
- URL:
- https://aclanthology.org/W17-2908
- DOI:
- 10.18653/v1/W17-2908
- Cite (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.
- Cite (Informal):
- Linguistic Markers of Influence in Informal Interactions (Prabhumoye et al., NLP+CSS 2017)
- PDF:
- https://preview.aclanthology.org/add_acl24_videos/W17-2908.pdf