@inproceedings{a68b42bb83754a62b963d4144dee0cfd,
title = "Multilingual Deception Detection by Autonomous Agents",
abstract = "In this work we present the development of a multilingual deception detection model based on speech. In addition, we also develop a model that detects whether a statement will be perceived as a lie or not by human subjects. To this end, we developed a game for collecting a large scale and high quality labeled data-set in a controlled environments in English and Hebrew. We developed a model that can detect deception based only on a vocal statement from the participants of the experiment. The data-set will be released to the community.",
keywords = "Agents, Deception detection, Lie detection, Voice",
author = "{Hershkovitch Neiterman}, Evgeny and Moshe Bitan and Amos Azaria",
note = "Publisher Copyright: {\textcopyright} 2020 ACM.; 29th International World Wide Web Conference, WWW 2020 ; Conference date: 20-04-2020 Through 24-04-2020",
year = "2020",
month = apr,
day = "20",
doi = "10.1145/3366424.3384369",
language = "الإنجليزيّة",
series = "The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020",
pages = "480--484",
booktitle = "The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020",
}