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Barbara Brzic, Ivica Boticki and Marina Bagic Babac
Deception in computer-mediated communication represents a threat, and there is a growing need to develop efficient methods of detecting it. Machine learning models have, through natural language processing, proven to be extremely successful at detecting ...
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Noa Mansbach and Amos Azaria
It is difficult to overestimate the importance of detecting human deception, specifically by using speech cues. Indeed, several works attempt to detect deception from speech. Unfortunately, most works use the same people and environments in training and ...
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Dana Rad, Nicolae Paraschiv and Csaba Kiss
Polygraph tests have been used for many years as a means of detecting deception, but their accuracy has been the subject of much debate. In recent years, researchers have explored the use of neural networks in polygraph scoring to improve the accuracy of...
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Despoina Mouratidis, Maria Nefeli Nikiforos and Katia Lida Kermanidis
In the past decade, the rapid spread of large volumes of online information among an increasing number of social network users is observed. It is a phenomenon that has often been exploited by malicious users and entities, which forge, distribute, and rep...
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Max Ismailov, Michail Tsikerdekis and Sherali Zeadally
Identity deception in online social networks is a pervasive problem. Ongoing research is developing methods for identity deception detection. However, the real-world efficacy of these methods is currently unknown because they have been evaluated largely ...
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T. A. Litvinova,O. V. Zagorovskaya,O. A. Litvinova
Pág. 58 - 63
Text-based deception detection is presently on the way to gain even more significance as related studies certainly have both theoretical and practical value and a range of applications for police, security, and customs, as well as predatory communication...
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