Deception Detection using Real-life Trial Data
By Verónica Pérez-Rosas, Mohamed Abouelenien, Rada Mihalcea, Mihai Burzo. 2015
266 citations recorded by the source corpus.
Subfields: Clinical Psychology, Political Science and International Relations, Social Psychology, Natural Language Processing, Safety, Robustness & Interpretability
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Political Science and International Relations
In Social Psychology
- Iason Gabriel
- Julia Hirschberg
- Vladimir Mikulik
- Tom Everitt
- Geoffrey Irving
- Angel Maredia
- Sarah Ita Levitan
- Zachary Kenton
In Natural Language Processing
- Iason Gabriel
- Julia Hirschberg
- Vladimir Mikulik
- Tom Everitt
- Geoffrey Irving
- Angel Maredia
- Sarah Ita Levitan
- Zachary Kenton
In Safety, Robustness & Interpretability
- Iason Gabriel
- Tom Everitt
- Vladimir Mikulik
- Geoffrey Irving
- Zachary Kenton
- Richard Ngo
- Shane Legg
- Zeerak Talat
Citations in the corpus
- Alignment of Language Agents (2021, background): “Detecting deception from human-generated text has been studied by e.g. Fornaciari and Poesio (2013), Pérez-Rosas et al. (2015) and Levitan et al. (2018).”
- Video-Based Facial Micro-Expression Analysis: A Survey of Datasets, Features and Algorithms (2021, background): “P´erez-Rosas et al. [112] discovered that the five micro-expressions most related to falsehood are: frowning, eyebrow raising, lip corners turning up, lips protruded and head turning to the side.”
- Linguistic Cues to Deception and Perceived Deception in Interview Dialogues (2018, methodology): “cused on real-world data obtained from court testimonies and depositions (Fornaciari and Poesio, 2013; Bachenko et al., 2008; Pérez-Rosas et al., 2015).”