@inproceedings{6ecd176e2aa5459d8323ab90328c614e,
title = "An agent for deception detection in discussion based environments",
abstract = "Autonomous agents can be of assistance in detecting and reducing deception in computerized forums and chat-rooms. We focus on text-based environments where the deceiver is a member of a group which is holding a discussion. Deception detection methods which currently exist for such environments, heavily rely on either audio or visual information. We have developed DIG, an innovative machine learning-based autonomous agent, which joins a group of players as a regular member and assists them in catching a deceiver. We introduce {"}the pirate game{"} as a platform for deploying this agent. Our experimental study shows that although humans display difficulty detecting deception, DIG is not only capable of finding a deceptive player, it also helps increase the entire group's success.",
keywords = "Deception detection, Discussions, Human modeling",
author = "Amos Azaria and Ariella Richardson and Sarit Kraus",
note = "Publisher Copyright: Copyright {\textcopyright} 2014, International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.; 13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014 ; Conference date: 05-05-2014 Through 09-05-2014",
year = "2014",
language = "الإنجليزيّة",
series = "13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014",
pages = "1387--1388",
booktitle = "13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014",
}