Automatic deception detection in Italian court cases
By Tommaso Fornaciari, Massimo Poesio. 2013
93 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Social Psychology, Natural Language Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Iason Gabriel
- Verónica Pérez-Rosas
- Tom Everitt
- Geoffrey Irving
- Vladimir Mikulik
- Mohamed Abouelenien
- Mihai Burzo
- Laura Weidinger
In Social Psychology
- Verónica Pérez-Rosas
- Julia Hirschberg
- Iason Gabriel
- Angel Maredia
- Sarah Ita Levitan
- Mihai Burzo
- Mohamed Abouelenien
- Rada Mihalcea
In Natural Language Processing
- Iason Gabriel
- Verónica Pérez-Rosas
- Julia Hirschberg
- Rada Mihalcea
- Vladimir Mikulik
- Mihai Burzo
- Tom Everitt
- Mohamed Abouelenien
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).”
- Linguistic Cues to Deception and Perceived Deception in Interview Dialogues (2018, background): “Other research has focused on real-world data obtained from court tes-timonies and depositions (Fornaciari and Poesio, 2013; Bachenko et al., 2008; P´erez-Rosas et al., 2015).”
- Deception Detection using Real-life Trial Data (2015, methodology): “The work closest to ours is presented by Fornaciari and Poesio [14], which targets the identification of deception in statements issued by witnesses and defendants using a corpus collected from hearings in Italian courts.”