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Finding Deceptive Opinion Spam by Any Stretch of the Imagination
TLDR
This work develops and compares three approaches to detecting deceptive opinion spam, and develops a classifier that is nearly 90% accurate on the authors' gold-standard opinion spam dataset, and reveals a relationship between deceptive opinions and imaginative writing. Expand
Experimental evidence of massive-scale emotional contagion through social networks.
TLDR
The results indicate that emotions expressed by others on Facebook influence the authors' own emotions, constituting experimental evidence for massive-scale contagion via social networks, and suggest that the observation of others' positive experiences constitutes a positive experience for people. Expand
Negative Deceptive Opinion Spam
TLDR
This work creates and study the first dataset of deceptive opinion spam with negative sentiment reviews, and finds that standard n-gram text categorization techniques can detect negative deceptive opinions spam with performance far surpassing that of human judges. Expand
Mirror, Mirror on my Facebook Wall: Effects of Exposure to Facebook on Self-Esteem
TLDR
Results reveal that becoming self-aware by viewing one's own Facebook profile enhances self-esteem rather than diminishes it, and suggest that selective self-presentation in digital media, which leads to intensified relationship formation, also influences impressions of the self. Expand
On Lying and Being Lied To: A Linguistic Analysis of Deception in Computer-Mediated Communication
This study investigated changes in both the liar's and the conversational partner's linguistic style across truthful and deceptive dyadic communication in a synchronous text-based setting. AnExpand
Language Style Matching as a Predictor of Social Dynamics in Small Groups
TLDR
The results reveal that this type of automated measure of verbal mimicry can be an objective, efficient, and unobtrusive tool for predicting underlying social dynamics. Expand
Separating Fact From Fiction: An Examination of Deceptive Self-Presentation in Online Dating Profiles
TLDR
Self-presentation in online dating profiles is examined using a novel cross-validation technique for establishing accuracy and deception patterns suggest that participants strategically balanced the deceptive opportunities presented by online self- presentation with the social constraints of establishing romantic relationships. Expand
Verbal Irony Use in Face-To-Face and Computer-Mediated Conversations
Speakers use a range of cues to signal ironic intent, including cues based on contrast with context, verbal, and paralinguistic cues. Speakers also rely on cues provided by addressees regardingExpand
Profile as promise: A framework for conceptualizing veracity in online dating self-presentations
TLDR
This research explores how users conceptualize misrepresentation in a specific genre of online self-presentation: the online dating profile, and proposes the profile as promise framework as an analytic lens that captures user understandings about profile-based representation through a qualitative analysis of their retrospective reflections. Expand
Identity Shift in Computer-Mediated Environments
The present study uses a public commitment framework to examine how computer-mediated self-presentations can alter identities. Participants were asked to present with one of two traits, extroversionExpand
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