Automatic deception detection: Methods for finding fake news

Proceedings of the Association for Information Science and Technology

Volumn 52, Issue 1, 2015, Pages 1-4

  Conroy, Niall J ^a   Rubin, Victoria L ^a   Chen, Yimin ^a  

^a UNIVERSITY OF WESTERN ONTARIO   (Canada)

Author keywords

automation; Deception detection; fake news detection; fraud; knowledge networks; methods; news verification; predictive modelling; SVM; veracity assessment

Indexed keywords

ARTIFICIAL INTELLIGENCE; FAKE DETECTION; LEARNING SYSTEMS;

DECEPTION DETECTION; FAKE NEWS DETECTION; FRAUD; KNOWLEDGE NETWORKS; MACHINE-LEARNING; METHOD; NEWS VERIFICATION; PREDICTIVE MODELS; SVM; VERACITY ASSESSMENT;

LINGUISTICS;

EID: 84987722728     PISSN: None     EISSN: 23739231     Source Type: Journal    
DOI: 10.1002/pra2.2015.145052010082     Document Type: Article

References (22)

1. Ciampaglia, G., Shiralkar, P., Rocha, L., Bollen, J. Menczer, F., & Flammini, A. (2015). Computational fact checking from knowledge networks.
2. Chen, Y., Conroy, N. J., & Rubin, V. L. (2015). News in an Online World: The Need for an “Automatic Crap Detector”. In The Proceedings of the Association for Information Science and Technology Annual Meeting (ASIST2015), Nov. 6–10, St. Louis.
3. Chu, Z., Gianvecchio, S., Wang, H., & Jajodia, S. (2010). Who is tweeting on Twitter: Human, Bot, or Cyborg? in the Proceedings of the 26th Annual Computer Security Applications Conference, ACSAC ’10, pp. 21–30.
4. Cook, D., Waugh, B., Abdipanab, M, Hashemi, O., Rahman, S. (2013). Twitter Deception and Influence: Issues of Identity, Slacktivism and Puppetry
5. de Marneffe, M., MacCartney, B. & Manning, C. (2006). Generating typed dependency parses from phrase structure parses. In Proceedings of the 5th International Conference on Language Resources and Evaluation (LREC 2006).
6. Hancock, J., Woodworth, M. & Porter, S. (2011). Hungry like a wolf: A word pattern analysis of the language of psychopaths. Legal and Criminological Psychology. 113.
7. Hancock, J. & Markowitz, D. (2014). Linguistic Traces of a Scientific Fraud: The Case of Diederik Stapel. PLoS ONE, 9(8)
8. Feng, V. & Hirst, G. (2013) Detecting deceptive opinion with profile compatibility.
9. Feng, S., Banerjee, R. & Choi, Y. (2012). Syntactic Stylometry for Deception Detection. 50th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, 171–175.
10. Larcker, D., Zakolyukina, A. (2012). Detecting Deceptive Discussions in Conference Calls. Journal of Accounting Research, 50(2), 495540.
11. Mihalcea, R. & Strapparava, C. (2009). The Lie Detector: Explorations in the Automatic Recognition of Deceptive Language. Proceedings of the ACL-IJCNLP Conference Short Papers, pp. 309–312.
12. Oraby, S., Reed, L., Compton, R., Riloff, E., Walker, M. & Whittaker, S. (2015). And That's A Fact: Distinguishing Factual and Emotional Argumentation in Online Dialogue
13. Ott, M., Cardie, C. & Hancock, J. (2013). Negative Deceptive Opinion Spam. Proceedings of NAACLHLT. pp. 497–501.
14. Pang, B. & Lee, L. (2008). Opinion mining and sentiment analysis. Foundations and Trends in Information Retrieval, 2(1–2), pp. 1-135.
15. Papacharissi, Z. & Oliveira, M. (2012). The Rhythms of News Storytelling on #Egypt. Journal of Communication. 62. pp. 266–282.
16. Rahangdale, A. & Agrawa, A. (2014). Information extraction using discourse analysis from newswires. International Journal of Information Technology Convergence and Services. 4(3), pp. 21-30.
17. A. Towards News Verification: Deception Detection Methods for News Discourse. Hawaii International Conference on System Sciences.
18. B. Deception Detection for News: Three Types of Fakes. In The Proceedings of the Association for Information Science and Technology Annual Meeting (ASIST2015), Nov. 6–10, St. Louis.
19. Rubin, V. & Lukoianova, T. (2014). Truth and deception at the rhetorical structure level. Journal of the American Society for Information Science and Technology, 66(5).DOI: 10.1002/asi.23216
20. Strehl, A., Ghosh, J. & Mooney, R. (2000). Impact of Similarity Measures on Web-page Clustering. AAAI Technical Report WS-00-01.
21. Wu, G., Greene, D., Smyth, B. & Cunningham P. (2010). Distortion as a Validation Criterion in the Identification of Suspicious Reviews. 1st Workshop on Social Media Analytics.
22. Zhang, H., Fan, Z., Zeng, J. & Liu, Q. (2012). An Improving Deception Detection Method in Computer-Mediated Communication. Journal of Networks, 7 (11).