Jeffrey T. Hancock

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Consumers increasingly rate, review and research products online (Jansen, 2010; Litvin et al., 2008). Consequently, websites containing consumer reviews are becoming targets of opinion spam. While recent work has focused primarily on manually identifiable instances of opinion spam, in this work we study deceptive opinion spam—fictitious opinions that have(More)
Emotional states can be transferred to others via emotional contagion, leading people to experience the same emotions without their awareness. Emotional contagion is well established in laboratory experiments, with people transferring positive and negative emotions to others. Data from a large real-world social network, collected over a 20-y period suggests(More)
The rising influence of user-generated online reviews (Cone, 2011) has led to growing incentive for businesses to solicit and manufacture DECEPTIVE OPINION SPAM—fictitious reviews that have been deliberately written to sound authentic and deceive the reader. Recently, Ott et al. (2011) have introduced an opinion spam dataset containing gold standard(More)
Our ability to express and accurately assess emotional states is central to human life. The present study examines how people express and detect emotions during text-based communication, an environment that eliminates the nonverbal cues typically associated with emotion. The results from 40 dyadic interactions suggest that users relied on four strategies to(More)
Discourse Processes Publication details, including instructions for authors and subscription information: http://www.informaworld.com/smpp/title~content=t775653637 On Lying and Being Lied To: A Linguistic Analysis of Deception in Computer-Mediated Communication Jeffrey T. Hancock a; Lauren E. Curry a; Saurabh Goorha a; Michael Woodworth b a Department of(More)
This study examines self-presentation in online dating profiles using a novel cross-validation technique for establishing accuracy. Eighty online daters rated the accuracy of their online self-presentation. Information about participants' physical attributes was then collected (height, weight, and age) and compared with their online profile, revealing that(More)
Synchronized verbal behavior can reveal important information about social dynamics. This study introduces the linguistic style matching (LSM) algorithm for calculating verbal mimicry based on an automated textual analysis of function words. The LSM algorithm was applied to language generated during a small group discussion in which 70 groups comprised of(More)
Social psychology has demonstrated that lying is an important, and frequent, part of everyday social interactions. As communication technologies become more ubiquitous in our daily interactions, an important question for developers is to determine how the design of these technologies affects lying behavior. The present research reports the results of a(More)
Following either a text-based, synchronous computer-mediated conversation (CMC) or a face-to-face dyadic interaction, 80 participants rated their partners’ personality profile. Impressions were assessed in terms of both their breadth (the comprehensiveness of the impression) and intensity (the magnitude of the attributions). Results indicated that(More)