Fighting post-truth using natural language processing: A review and open challenges

E Saquete, D Tomás, P Moreda… - Expert systems with …, 2020 - Elsevier
Post-truth is a term that describes a distorting phenomenon that aims to manipulate public
opinion and behavior. One of its key engines is the spread of Fake News. Nowadays most …

Social influence dialogue systems: A survey of datasets and models for social influence tasks

K Chawla, W Shi, J Zhang, G Lucas, Z Yu… - arxiv preprint arxiv …, 2022 - arxiv.org
Dialogue systems capable of social influence such as persuasion, negotiation, and therapy,
are essential for extending the use of technology to numerous realistic scenarios. However …

[PDF][PDF] BERTective: Language models and contextual information for deception detection

T Fornaciari, F Bianchi, M Poesio… - Proceedings of the 16th …, 2021 - iris.unibocconi.it
Spotting a lie is challenging but has an enormous potential impact on security as well as
private and public safety. Several NLP methods have been proposed to classify texts as …

Deception detection in text and its relation to the cultural dimension of individualism/collectivism

K Papantoniou, P Papadakos, T Patkos… - Natural Language …, 2022 - cambridge.org
Automatic deception detection is a crucial task that has many applications both in direct
physical and in computer-mediated human communication. Our focus is on automatic …

Explainable verbal deception detection using transformers

L Ilias, F Soldner, B Kleinberg - arxiv preprint arxiv:2210.03080, 2022 - arxiv.org
People are regularly confronted with potentially deceptive statements (eg, fake news,
misleading product reviews, or lies about activities). Only few works on automated text …

The effect of personality type on deceptive communication style

T Fornaciari, F Celli, M Poesio - 2013 European Intelligence …, 2013 - ieeexplore.ieee.org
It has long been hypothesized that the ability to deceive depends on personality-some
personality types arebetter'at deceiving in that their deception is harder to recognize. In this …

[PDF][PDF] New bulgarian resources for studying deception and detecting disinformation

I Temnikova¹, S Gargova¹⁴, R Margova¹⁵, V Kireva¹⁶… - 2023 - academia.edu
Automatically detecting disinformation is an important Natural Language Processing (NLP)
task whose results can assist journalists and the general public. The European Commission …

Development of a Chinese werewolf deception database

C Yang, X You, X **e, Y Duan, B Wang, Y Zhou… - Frontiers in …, 2023 - frontiersin.org
Although it is important to accurately detect deception, limited research in this area has been
undertaken involving Asian people. We aim to address this gap by undertaking research …

[PDF][PDF] On the use of homogenous sets of subjects in deceptive language analysis

T Fornaciari, M Poesio - Proceedings of the Workshop on …, 2012 - aclanthology.org
Recent studies on deceptive language suggest that machine learning algorithms can be
employed with good results for classification of texts as truthful or untruthful. However, the …

[PDF][PDF] Detection of semantic obsessive text in multimedia using machine and deep learning techniques and algorithms

MU MACHINE - Journal of Theoretical and Applied Information …, 2021 - jatit.org
Word boycott has been seen frequently trending in India on various social media platforms.
We studied the obsession of Indians with the word boycott; to show the protest or dissent …