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Fighting post-truth using natural language processing: A review and open challenges
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 …
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
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 …
are essential for extending the use of technology to numerous realistic scenarios. However …
[PDF][PDF] BERTective: Language models and contextual information for deception detection
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 …
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
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 …
physical and in computer-mediated human communication. Our focus is on automatic …
Explainable verbal deception detection using transformers
People are regularly confronted with potentially deceptive statements (eg, fake news,
misleading product reviews, or lies about activities). Only few works on automated text …
misleading product reviews, or lies about activities). Only few works on automated text …
The effect of personality type on deceptive communication style
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 …
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
Automatically detecting disinformation is an important Natural Language Processing (NLP)
task whose results can assist journalists and the general public. The European Commission …
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 …
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
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 …
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 …
We studied the obsession of Indians with the word boycott; to show the protest or dissent …