The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Fake News or Truth? Using Satirical Cues to Detect Potentially Misleading News
Open accessAbstract
Satire is an attractive subject in deception detection research: it is a type of deception that intentionally incorporates cues revealing its own deceptiveness.Whereas other types of fabrications aim to instill a false sense of truth in the reader, a successful satirical hoax must eventually be exposed as a jest.This paper provides a conceptual overview of satire and humor, elaborating and illustrating the unique features of satirical news, which mimics the format and style of journalistic reporting.Satirical news stories were carefully matched and examined in contrast with their legitimate news counterparts in 12 contemporary news topics in 4 domains (civics, science, business, and "soft" news).Building on previous work in satire detection, we proposed an SVMbased algorithm, enriched with 5 predictive features (Absurdity, Humor, Grammar, Negative Affect, and Punctuation) and tested their combinations on 360 news articles.Our best predicting feature combination (Absurdity, Grammar and Punctuation) detects satirical news with a 90% precision and 84% recall (F-score=87%).Our work in algorithmically identifying satirical news pieces can aid in minimizing the potential deceptive impact of satire.
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Cites
The Development and Psychometric Properties of LIWC2015
Pennebaker, J. W., Boyd, R. L., Jordan, K., & Blackburn, K. (2015) · University of Texas at Austin · doi:10.15781/t25p41 · Cited by 1,674
Teaching and Learning with Humor: Experiment and Replication
Ziv, A. (1988) · The Journal of Experimental Education · doi:10.1080/00220973.1988.10806492 · Cited by 290
Cited by
Fake News Detection on Social Media: A Data Mining Perspective
Shu, K., Sliva, A., Wang, S., Tang, J., & Liu, H. (2017) · ACM SIGKDD Explorations Newsletter · doi:10.1145/3137597.3137600 · Cited by 3,304
An overview of online fake news: Characterization, detection, and discussion
Zhang, X., & Ghorbani, A. A. (2020) · Information Processing & Management · doi:10.1016/j.ipm.2019.03.004 · Cited by 997
Fake news, disinformation and misinformation in social media: a review
Aïmeur, E., Amri, S., & Brassard, G. (2023) · Social Network Analysis and Mining · doi:10.1007/s13278-023-01028-5 · Cited by 772
Horne, B., & Adali, S. (2017) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v11i1.14976 · Cited by 688
A Stylometric Inquiry into Hyperpartisan and Fake News
Potthast, M., Kiesel, J., Reinartz, K., Bevendorff, J., & Stein, B. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · doi:10.18653/v1/p18-1022 · Cited by 686
Metadata
- Authors
- Rubin, V., Conroy, N., Chen, Y., & Cornwell, S.
- Venue
- Proceedings of the Second Workshop on Computational Approaches to Deception Detection
- Published
- 2016
- Pages
- 7-17
- OpenAlex
- W2516338333
- Cited by
- 584
- References
- 2
- FWCI
- 141.25
- Type
- conference paper
- Language
- en
- Open access
- gold
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- Rubin, V., Conroy, N., Chen, Y., & Cornwell, S. (2016). Fake News or Truth? Using Satirical Cues to Detect Potentially Misleading News. Proceedings of the Second Workshop on Computational Approaches to Deception Detection. https://doi.org/10.18653/v1/w16-0802
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