The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Detection of Online Fake News Using N-Gram Analysis and Machine Learning Techniques
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Citations
Cites
"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection
Wang, W. Y. (2017) · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · doi:10.18653/v1/p17-2067 · Cited by 1,516
News use across social media platforms 2016
Gottfried, J. A., & Shearer, E. (2016) · Cited by 1,184
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
Fake News or Truth? Using Satirical Cues to Detect Potentially Misleading News
Rubin, V., Conroy, N., Chen, Y., & Cornwell, S. (2016) · Proceedings of the Second Workshop on Computational Approaches to Deception Detection · doi:10.18653/v1/w16-0802 · Cited by 584
Deception detection for news: Three types of fakes
Rubin, V. L., Chen, Y., & Conroy, N. K. (2015) · Proceedings of the Association for Information Science and Technology · doi:10.1002/pra2.2015.145052010083 · Cited by 546
Automatic satire detection: are you having a laugh?
Burfoot, C., & Baldwin, T. (2009) · Joint Conference of the Annual Meeting of the Association for Computational Linguistics and the International Joint Conference on Natural Language Processing (ACL-IJCNLP) · doi:10.3115/1667583.1667633 · Cited by 148
Cited by
Fake News Detection Using Machine Learning Ensemble Methods
Ahmad, I., Yousaf, M., Yousaf, S., & Ahmad, M. O. (2020) · Complexity · doi:10.1155/2020/8885861 · Cited by 474
An ensemble machine learning approach through effective feature extraction to classify fake news
Hakak, S., Alazab, M., Khan, S., Gadekallu, T. R., Maddikunta, P. K. R., & Khan, W. Z. (2021) · Future Generation Computer Systems · doi:10.1016/j.future.2020.11.022 · Cited by 425
A Comprehensive Review on Fake News Detection With Deep Learning
Mridha, M. F., Keya, A. J., Hamid, M. A., Monowar, M. M., & Rahman, M. S. (2021) · IEEE Access · doi:10.1109/access.2021.3129329 · Cited by 281
Automating fake news detection system using multi-level voting model
Kaur, S., Kumar, P., & Kumaraguru, P. (2020) · Soft Computing · doi:10.1007/s00500-019-04436-y · Cited by 190
Gongane, V. U., Munot, M. V., & Anuse, A. D. (2022) · Social Network Analysis and Mining · doi:10.1007/s13278-022-00951-3 · Cited by 153
Metadata
- Authors
- Ahmed, H., Traore, I., & Saad, S.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2017
- Pages
- 127-138
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2763699126
- Cited by
- 658
- References
- 6
- FWCI
- 83.09
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Detection of Online Fake News Using N-Gram Analysis and Machine Learning Techniques. https://app.cochat.ai/papers/10.1007/978-3-319-69155-8_9
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- Ahmed, H., Traore, I., & Saad, S. (2017). Detection of Online Fake News Using N-Gram Analysis and Machine Learning Techniques. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-319-69155-8_9
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
