Helpful or Hierarchical? Predicting the Communicative Strategies of Chat Participants, and their Impact on Success
Farzana Rashid, Tommaso Fornaciari, Dirk Hovy, Eduardo Blanco, Fernando Vega-Redondo
Abstract
When interacting with each other, we motivate, advise, inform, show love or power towards our peers. However, the way we interact may also hold some indication on how successful we are, as people often try to help each other to achieve their goals. We study the chat interactions of thousands of aspiring entrepreneurs who discuss and develop business models. We manually annotate a set of about 5,500 chat interactions with four dimensions of interaction styles (motivation, cooperation, equality, advice). We find that these styles can be reliably predicted, and that the communication styles can be used to predict a number of indices of business success. Our findings indicate that successful communicators are also successful in other domains.- Anthology ID:
- 2020.findings-emnlp.214
- Volume:
- Findings of the Association for Computational Linguistics: EMNLP 2020
- Month:
- November
- Year:
- 2020
- Address:
- Online
- Editors:
- Trevor Cohn, Yulan He, Yang Liu
- Venue:
- Findings
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 2366–2371
- Language:
- URL:
- https://aclanthology.org/2020.findings-emnlp.214
- DOI:
- 10.18653/v1/2020.findings-emnlp.214
- Cite (ACL):
- Farzana Rashid, Tommaso Fornaciari, Dirk Hovy, Eduardo Blanco, and Fernando Vega-Redondo. 2020. Helpful or Hierarchical? Predicting the Communicative Strategies of Chat Participants, and their Impact on Success. In Findings of the Association for Computational Linguistics: EMNLP 2020, pages 2366–2371, Online. Association for Computational Linguistics.
- Cite (Informal):
- Helpful or Hierarchical? Predicting the Communicative Strategies of Chat Participants, and their Impact on Success (Rashid et al., Findings 2020)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-2/2020.findings-emnlp.214.pdf