It Takes Two to Lie: One to Lie, and One to Listen

Denis Peskov, Benny Cheng, Ahmed Elgohary, Joe Barrow, Cristian Danescu-Niculescu-Mizil, Jordan Boyd-Graber


Abstract
Trust is implicit in many online text conversations—striking up new friendships, or asking for tech support. But trust can be betrayed through deception. We study the language and dynamics of deception in the negotiation-based game Diplomacy, where seven players compete for world domination by forging and breaking alliances with each other. Our study with players from the Diplomacy community gathers 17,289 messages annotated by the sender for their intended truthfulness and by the receiver for their perceived truthfulness. Unlike existing datasets, this captures deception in long-lasting relationships, where the interlocutors strategically combine truth with lies to advance objectives. A model that uses power dynamics and conversational contexts can predict when a lie occurs nearly as well as human players.
Anthology ID:
2020.acl-main.353
Volume:
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Month:
July
Year:
2020
Address:
Online
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
3811–3854
Language:
URL:
https://aclanthology.org/2020.acl-main.353
DOI:
10.18653/v1/2020.acl-main.353
Bibkey:
Cite (ACL):
Denis Peskov, Benny Cheng, Ahmed Elgohary, Joe Barrow, Cristian Danescu-Niculescu-Mizil, and Jordan Boyd-Graber. 2020. It Takes Two to Lie: One to Lie, and One to Listen. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 3811–3854, Online. Association for Computational Linguistics.
Cite (Informal):
It Takes Two to Lie: One to Lie, and One to Listen (Peskov et al., ACL 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.acl-main.353.pdf
Video:
 http://slideslive.com/38928719