On deception and deception detection: content analysis of computer-mediated stated beliefs

Authors:
Victoria L. Rubin
Affiliations:
University of Western Ontario, London, Ontario, Canada
Venue:
Proceedings of the 73rd ASIS&T Annual Meeting on Navigating Streams in an Information Ecosystem - Volume 47
Year:
2010

Citing 10
Cited 2

Computer-mediated communication in collaborative educational settings: report of the ITiCSE '97 working group on CMC in collaborative educational settings

ACM SIGCUE Outlook - Special issue: ITiCSE '97 working group papers
The elements of computer credibility

Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Believe it or not: factors influencing credibility on the Web

Journal of the American Society for Information Science and Technology
Trust in digital information

Journal of the American Society for Information Science and Technology
Following linguistic footprints: automatic deception detection in online communication

Communications of the ACM - Enterprise information integration: and other tools for merging data
Opinion Mining and Sentiment Analysis

Foundations and Trends in Information Retrieval
Professional credibility: authority on the web

Proceedings of the 2nd ACM workshop on Information credibility on the web
Decision support for determining veracity via linguistic-based cues

Decision Support Systems
Verification and implementation of language-based deception indicators in civil and criminal narratives

COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Epistemic modality: From uncertainty to certainty in the context of information seeking as interactions with texts

Information Processing and Management: an International Journal

The role of innovation and wealth in the net neutrality debate: A content analysis of human values in congressional and FCC hearings

Journal of the American Society for Information Science and Technology
Identification of truth and deception in text: application of vector space model to rhetorical structure theory

EACL 2012 Proceedings of the Workshop on Computational Approaches to Deception Detection

Quantified Score

Hi-index	0.00

Visualization

Abstract

Deception in computer-mediated communication is defined as a message knowingly and intentionally transmitted by a sender to foster a false belief or conclusion by the perceiver. Stated beliefs about deception and deceptive messages or incidents are content analyzed in a sample of 324 computer-mediated communications. Relevant stated beliefs are obtained through systematic sampling and querying of the blogosphere based on 80 English words commonly used to describe deceptive incidents. Deception is conceptualized broader than lying and includes a variety of deceptive strategies: falsification, concealment (omitting material facts) and equivocation (dodging or skirting issues). The stated beliefs are argued to be valuable toward the creation of a unified multi-faceted ontology of deception, stratified along several classificatory facets such as (1) contextual domain (e.g., personal relations, politics, finances & insurance), (2) deception content (e.g., events, time, place, abstract notions), (3) message format (e.g., a complaint: they lied to us, a victim story: I was lied to or tricked, or a direct accusation: you're lying), and (4) deception variety, each tied to particular verbal cues (e.g., misinforming, scheming, misrepresenting, or cheating). The paper positions automated deception detection within the field of library and information science (LIS), as a feasible natural language processing (NLP) task. Key findings and important constructs in deception research from interpersonal communication, psychology, criminology, and language technology studies are synthesized into an overview. Deception research is juxtaposed to several benevolent constructs in LIS research: trust, credibility, certainty, and authority.