Many self-report measures of attitudes, beliefs, personality, and pathology include items that can be easily manipulated by respondents. For example, an individual may deliberately attempt to manipulate or distort responses to simulate grossly exaggerated physical or psychological symptoms in order to reach specific goals such as, for example, obtaining financial compensation, avoiding being ch...

This paper studied generating natural languages at particular contexts or situations. We proposed two novel approaches which encode the contexts into a continuous semantic representation and then decode the semantic representation into text sequences with recurrent neural networks. During decoding, the context information are attended through a gating mechanism, addressing the problem of long-r...

Content moderation on social media is at the center of public and academic debate. In this study, we advance our understanding which type election-related content gets suspended by platforms. For this, assess behavior shared accounts during most important elections in Europe 2017 (in France, United Kingdom, Germany). We identify significant differences when compare Twitter with all other active...

This paper proposes an end-to-end CNN(Convolutional Neural Networks) model that uses gram modules with parameters that are approximately 1.2MB in size to detect fake fingerprints. The proposed method assumes that texture is the most appropriate characteristic in fake fingerprint detection, and implements the gram module to extract textures from the CNN. The proposed CNN structure uses the fire ...

In this paper, we develop a signaling model of rational lovemaking. In the act of lovemaking, a man and a woman send each other possibly deceptive signals about their true state of ecstasy. For example, if one of the partners is not in ecstasy, then he or she may decide to fake it. The model predicts that (1) a higher cost of faking lowers the probability of faking; (2) middle-aged and old men ...

The purpose of this study was to examine the effectiveness of the 3 Modifying Indices of the Millon Clinical Multiaxial Inventory III (MCMI-III) in the detection of fake-bad and fake-good responding. The sample consisted of 160 psychiatric outpatients. Paired t tests were performed to examine the effects of instructional set (faking vs. standard instructions). As hypothesized, instructional set...

This research surveys the current state-of-the-art technologies that are instrumental in the adoption and development of fake news detection. “Fake news detection” is defined as the task of categorizing news along a continuum of veracity, with an associated measure of certainty. Veracity is compromised by the occurrence of intentional deceptions. The nature of online news publication has change...

Fake news pose serious threat to our society nowadays, particularly due to its wide spread through social networks. While human fact checkers cannot handle such tremendous information online in real time, AI technology can be leveraged to automate fake news detection. The first step leading to a sophisticated fake news detection system is the stance detection between statement and body text. In...

Many languages allow for ”fake” uses of their past tense marker: the marker can occur in certain contexts without conveying temporal pastness. Instead it appears to bear a modal meaning. Iatridou [2000] has coined this phenomenon Fake Tense. Fake Tense is particularly common to conditional construction. This paper proposes to explain Fake Tense in English conditional sentences as a certain kind...

560 Abstract— Counterfeit notes are one of the biggest problem occurring in cash transactions. For country like India, it is becoming big hurdle. Because of the advances in printing, scanning technologies it is easily possible for a person to print fake notes with use of latest hardware tools. Detecting fake notes manually becomes time-consuming and untidy process hence there is need of automat...