@inproceedings{rashid-etal-2020-helpful,
title = "Helpful or Hierarchical? Predicting the Communicative Strategies of Chat Participants, and their Impact on Success",
author = "Rashid, Farzana and
Fornaciari, Tommaso and
Hovy, Dirk and
Blanco, Eduardo and
Vega-Redondo, Fernando",
editor = "Cohn, Trevor and
He, Yulan and
Liu, Yang",
booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2020",
month = nov,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.findings-emnlp.214",
doi = "10.18653/v1/2020.findings-emnlp.214",
pages = "2366--2371",
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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T Helpful or Hierarchical? Predicting the Communicative Strategies of Chat Participants, and their Impact on Success
%A Rashid, Farzana
%A Fornaciari, Tommaso
%A Hovy, Dirk
%A Blanco, Eduardo
%A Vega-Redondo, Fernando
%Y Cohn, Trevor
%Y He, Yulan
%Y Liu, Yang
%S Findings of the Association for Computational Linguistics: EMNLP 2020
%D 2020
%8 November
%I Association for Computational Linguistics
%C Online
%F rashid-etal-2020-helpful
%X 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.
%R 10.18653/v1/2020.findings-emnlp.214
%U https://aclanthology.org/2020.findings-emnlp.214
%U https://doi.org/10.18653/v1/2020.findings-emnlp.214
%P 2366-2371
Markdown (Informal)
[Helpful or Hierarchical? Predicting the Communicative Strategies of Chat Participants, and their Impact on Success](https://aclanthology.org/2020.findings-emnlp.214) (Rashid et al., Findings 2020)
ACL