Content Feature Extraction in the Context of Social Media Behavior

Neumann, Shai; Li, Charles; Lo, Chloe; Lee, Corinne; Rajwani, Shakeel; Sood, Suraj; Foster, Buttons A.; Hadgis, Toni; Savir, Yaniv; Michaels, Frankie; Ahmed, Alexis-Walid; Bernobic, Nikki; Hollander, Markus

doi:10.1007/978-3-319-58628-1_42

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Cited by 3 publications

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“…Finally, Neumann et al [26] developed and implemented a psychoinformatic method to predict whether Twitter users were "automated" (i.e., were bots) or "non-automated" (were human users). This Sirius team aimed to map Myers-Briggs personality type onto virtual bots constructed to partake in two economic games: the prisoner's dilemma and power-to-take [27].…”

Section: Resultsmentioning

confidence: 99%

The Psychoinformatic Complexity of Humanness and Person-Situation Interaction

Sood

2019

Lecture Notes in Networks and Systems

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This paper undertakes to answer the questions of how humanness is to be defined and computationally functionalized, as well as of how person-situation interaction is to be formalized mathematically. Complexity science and psychoinformatics are the two primary fields considered in addressing these questions. A novel "psychoinformatic complexity" (PIC) paradigm is outlined and argued to be an adequate one within which to operationalize modern-day Western humanness and person-situation interaction. The paper ends with a consideration of current PIC applications, including social media analytics and humanoid robotics.

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Section: Resultsmentioning

confidence: 99%