TY - GEN
T1 - Helpful or hierarchical? Predicting the communicative strategies of chat participants, and their impact on success
AU - Rashid, Farzana
AU - Fornaciari, Tommaso
AU - Hovy, Dirk
AU - Blanco, Eduardo
AU - Vega-Redondo, Fernando
N1 - Publisher Copyright:
©2020 Association for Computational Linguistics
PY - 2020
Y1 - 2020
N2 - 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 and 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.
AB - 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 and 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.
UR - http://www.scopus.com/inward/record.url?scp=85118438687&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85118438687&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85118438687
T3 - Findings of the Association for Computational Linguistics Findings of ACL: EMNLP 2020
SP - 2366
EP - 2371
BT - Findings of the Association for Computational Linguistics Findings of ACL
PB - Association for Computational Linguistics (ACL)
T2 - Findings of the Association for Computational Linguistics, ACL 2020: EMNLP 2020
Y2 - 16 November 2020 through 20 November 2020
ER -