Users polarization and confirmation bias play a key role in misinformation spreading on online social media. Our aim is to use this information to determine in advance potential targets for hoaxes and fake news. In this paper, we introduce a general framework for promptly identifying polarizing content on social media and, thus, “predicting” future fake news topics. We validate the performances...

The Generative Adversarial Network framework has shown success in implicitly modeling data distributions and is able to generate realistic samples. Its architecture is comprised of a generator, which produces fake data that superficially seem to belong to the real data distribution, and a discriminator which is to distinguish fake from genuine samples. The Noiseless Joint Plug & Play model offe...

Although opinion spam (or fake review) detection has attracted significant research attention in recent years, the problem is far from solved. One key reason is that there is no large-scale ground truth labeled dataset available for model building. Some review hosting sites such as Yelp.com and Dianping.com have built fake review filtering systems to ensure the quality of their reviews, but the...

Abstract Social norms govern what is considered an acceptable show of emotions as a function of social circumstances. Yet, very little empirical work has been done on how the nature of a relationship influences reactions to faked emotions. Faking emotions has primarily been discussed in the context of service encounters. Popular theories encourage authenticity in a relationship. Our purpose was...

In southeast Asia, the widespread high prevalence of counterfeits tablets of the vital antimalarial artesunate is of great public health concern. To assess the seriousness of this problem, we quantified the amount of active ingredient present in artesunate tablets by liquid chromatography coupled to mass spectrometry. This method, in conjunction with analysis of the packaging, classified tablet...

The inference of entangled quantum states by recourse to the maximum entropy principle is considered in connection with the recently pointed out problem of fake inferred entanglement [R. Horodecki, et al., Phys. Rev. A 59 (1999) 1799]. We show that there are operators Â, both diagonal and non diagonal in the Bell basis, such that when the expectation value 〈Â〉 is taken as prior information the ...

Detecting and suspending fake accounts (Sybils) in online social networking (OSN) services protects both OSN operators and OSN users from illegal exploitation. Existing social-graph-based defense schemes effectively bound the accepted Sybils to the total number of social connections between Sybils and non-Sybil users. However, Sybils may still evade the defenses by soliciting many social connec...

This study evaluated a method of preventing sexual preference faking in phallometric assessments employing audiotaped stimuli. The stimuli were stories describing neutral heterosocial interactions, consenting heterosexual activity, rape, and nonsexual violence. Sixteen normal heterosexual males were each tested with ordinary instructions, with fake instructions (i.e., to appear sexually interes...

Social networks enable multimedia sharing between worldwide users, however, there is no automatic mechanism implemented aiming to verifying multimedia use. This has been known as a highly challenging problem due to the variety of media types and huge amount of information they convey. As a participating team of MediaEval 2016, we propose a hybrid approach for detecting misused multimedia on Twi...

With the proliferation of mobile devices, Location-Based Services (LBS) that provide networked services based on users’ locations have become increasingly popular. Such services, providing personalized and timely information, have raised privacy concerns such as unwanted revelation of users’ current locations to potential stalkers. Many prior studies have proposed to address LBS privacy by send...