J
Jeffrey T. Hancock
Researcher at Stanford University
Publications - 202
Citations - 15892
Jeffrey T. Hancock is an academic researcher from Stanford University. The author has contributed to research in topics: Deception & Interpersonal communication. The author has an hindex of 50, co-authored 182 publications receiving 13083 citations. Previous affiliations of Jeffrey T. Hancock include Florida State University & University of Arizona.
Papers
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Journal ArticleDOI
Experimental evidence of massive-scale emotional contagion through social networks
TL;DR: 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.
Proceedings Article
Finding Deceptive Opinion Spam by Any Stretch of the Imagination
TL;DR: 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.
Journal ArticleDOI
Mirror, mirror on my Facebook wall: effects of exposure to Facebook on self-esteem.
TL;DR: 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.
Posted Content
Finding Deceptive Opinion Spam by Any Stretch of the Imagination
TL;DR: This article developed and compared three approaches to detecting deceptive opinion spam, and ultimately developed a classifier that is nearly 90% accurate on the gold-standard opinion spam dataset. And they also made several theoretical contributions, including revealing a relationship between deceptive opinions and imaginative writing.
Journal ArticleDOI
Separating Fact From Fiction: An Examination of Deceptive Self-Presentation in Online Dating Profiles
TL;DR: The authors examined self-presentation in online dating profiles using a novel cross-validation technique for establishing accuracy, finding that participants' self-ratings of accuracy were significantly correlated with observed accuracy, suggesting that inaccuracies were intentional rather than self-deceptive.