Decoding the perception of sincerity in written dialogues

Codruta Girlea, Roxana Girju

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Understanding how people perceive sincerity is important in identifying malevolent deceptive behavior in social media. This is a difficult problem because the only signal in most such cases is written text, and the larger proportion of human communication is non-verbal. Furthermore, perception is very subjective, and people adapt to each other's perceptions. We define the problem of decoding sincerity perception for two domains, dating and online games. We introduce and evaluate new psycholinguistic features of perceived sincerity. Our results shed light into the connection between language, deception, and perception, and underline the challenges and difficulty of assessing perceptions from written text.

Original languageEnglish (US)
Title of host publication2017 7th International Conference on Affective Computing and Intelligent Interaction, ACII 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages448-455
Number of pages8
ISBN (Electronic)9781538605639
DOIs
StatePublished - Jan 29 2018
Event7th International Conference on Affective Computing and Intelligent Interaction, ACII 2017 - San Antonio, United States
Duration: Oct 23 2017Oct 26 2017

Publication series

Name2017 7th International Conference on Affective Computing and Intelligent Interaction, ACII 2017
Volume2018-January

Other

Other7th International Conference on Affective Computing and Intelligent Interaction, ACII 2017
CountryUnited States
CitySan Antonio
Period10/23/1710/26/17

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ASJC Scopus subject areas

  • Human-Computer Interaction
  • Behavioral Neuroscience
  • Social Psychology
  • Artificial Intelligence

Cite this

Girlea, C., & Girju, R. (2018). Decoding the perception of sincerity in written dialogues. In 2017 7th International Conference on Affective Computing and Intelligent Interaction, ACII 2017 (pp. 448-455). (2017 7th International Conference on Affective Computing and Intelligent Interaction, ACII 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACII.2017.8273638