1 |
Z. Jin, J. Cao, Y. Zhang & J. Luo. (2016). "News Verification by Exploiting Conflicting Social Viewpoints in Microblogs". Proceedings of AAAI, 2972-2978.
|
2 |
E. Tacchini, G. Ballarin, M. L. Della Vedova, S. Moret, & L. de Alfaro. (2017). "Some like it hoax: Automated fake news detection in social networks," CEUR Workshop Proceedings (1960), 1-12.
|
3 |
N. Ruchansky, S. Seo & Y. Liu. "CSI: A hybrid deep model for fake news detection". Proceedings of the 2017 ACM on Conference on Information and Knowledge Management (CIKM '17), 797-806.
|
4 |
S. Kwon, M. Cha, K. Jung, W. Chen & Y. Wang. (2013). "Prominent features of rumor propagation in online social media". IEEE 13th International Conference on Data Mining, 1103-1108.
|
5 |
T. Mikolov, K. Chen, G. Corrado & J. Dean. (2013). "Efficient Estimation of Word Representations in Vector Space". Proceedings of Workshop at ICLR, 1-12.
|
6 |
B. Perozzi, R. Al-Rfou & S. Skiena. (2014). "DeepWalk: Online learning of social representations". Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '14), 701-710.
|
7 |
A. Grover & J. Leskovec. (2016). "Node2Vec: Scalable feature learning for networks". Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '16), 855-864.
|
8 |
K. Shu, S. Wang & H. Liu. (2019). "Exploiting tri-relationship for fake news detection". Proceedings of 12th ACM International Conference on Web Search and Data Mining (WSDM 2019), arXiv:1712.07709.
|
9 |
H. Allcott & M. Gentzkow. (2017). "Social media and fake news in the 2016 election". Journal of Economic Perspectives, 31(2), 211-236. DOI: 10.1257/jep.31.2.211
DOI
|
10 |
N. J. Conroy, V. L. Rubin & Y. Chen. (2015). "Automatic deception detection: methods for finding fake news". Proceedings of the Association for Information Science and Technology, 52(1), 1-11.
|
11 |
E. Mustafaraj & P. T. Metaxas. (2017). "The fake news spreading plague: Was it preventable?". Proceedings of the 2017 ACM on Web Science Conference, 235-239.
|
12 |
M. Potthast, J. Kiesel, K. Reinartz, J. Bevendorff & B. Stein. (2018). "A stylometric inquiry into hyperpartisan and fake news". Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL'18), 231-240
|
13 |
J. Tang, Y. Chang, & H. Liu. (2014). "Mining social media with social theories: A survey". ACM SIGKDD Explorations Newsletter. 15(2), 20-29.
DOI
|
14 |
V. L. Rubin, Y. Chen & N. J. Conroy. (2015). "Deception detection for news: Three types of fakes". Proceedings of the Association for Information Science and Technology, 52(1), 1-11.
DOI
|
15 |
B. D. Horne & S. Adali. (2017). "This just in: Fake news packs a lot in title, uses simpler, repetitive content in text body, more similar to satire than real news". Proceedings of AAAI, 1-9.
|
16 |
H. Ahmed, I. Traore & S. Saad. (2017). "Detection of online fake news using n-gram analysis and machine learning techniques". International Conference on Intelligent, Secure, and Dependable Systems in Distributed and Cloud Environments, 127-138.
|
17 |
Z. Jia, L. Zhao & N. Zhou.. (2017). "The research on fraud group mining which based on social network analysis". IEEE International Conference on Computer and Communications Analysis, 2387-2391.
|