[1]
K. Shu, A. Sliva, S. H. Wang, J. L. Tang, and H. Liu, Fake news detection on social media: A data mining perspective, ACM SIGKDD Explorati., vol. 19, no. 1, pp. 22-36, 2017.
[2]
E. Tacchini, G. Ballarin, M. L. D. Vedova, S. Moret, and L. de Alfaro, Some like it hoax: Automated fake news detection in social networks, Tech. Rep. UCSC-SOE-17-05, School of Engineering, University of California, Santa Cruz, CA, USA, 2017.
[3]
M. M. Waldrop, News feature: The genuine problem of fake news, Proc. Natl. Acad. Sci. USA, vol. 114, no. 48, pp. 12631-12634, 2017.
[4]
Z. B. He, Z. P. Cai, and X. M. Wang, Modeling propagation dynamics and developing optimized countermeasures for rumor spreading in online social networks, in Proc. IEEE 35th Int. Conf. on Distributed Computing Systems, Columbus, OH, USA, 2015.
[5]
Z. B. He, Z. P. Cai, J. G. Yu, X. M. Wang, Y. C. Sun, and Y. S. Li, Cost-efficient strategies for restraining rumor spreading in mobile social networks, IEEE Trans. Veh. Technol., vol. 66, no. 3, pp. 2789-2800, 2017.
[6]
C. C. Shao, G. L. Ciampaglia, O. Varol, A. Flammini, and F. Menczer, The spread of fake news by social bots, arXiv preprint arXiv: 1707.07592v1, 2017.
[7]
J. Thorne, M. J. Chen, G. Myrianthous, J. S. Pu, X. X. Wang, and A. Vlachos, Fake news detection using stacked ensemble of classifiers, in Proc. EMNLP Workshop on Natural Language Processing Meets Journalism, Copenhagen, Denmark, 2017.
[8]
N. J. Conroy, V. L. Rubin, and Y. M. Chen, Automatic deception detection: Methods for finding fake news, Proc. Assoc. Inf. Sci. Technol., vol. 52, no. 1, pp. 1-4, 2015.
[9]
B. Markines, C. Cattuto, and F. Menczer, Social spam detection, in Proc. 5th Int. Workshop on Adversarial Information Retrieval on the Web, Madrid, Spain, 2009.
[10]
Y. M. Chen, N. J. Conroy, and V. L. Rubin, Misleading online content: Recognizing clickbait as “false news”, in Proc. 2015 ACM on Workshop on Multimodal Deception Detection, Seattle, WA, USA, 2015.
[11]
N. Ruchansky, S. Seo, and Y. Liu, CSI: A hybrid deep model for fake news detection, in Proc. 2017 ACM on Conf. on Information and Knowledge Management, Singapore, 2017.
[14]
G. Salton and M. J. McGill, Introduction to Modern Information Retrieval. New York, NY, USA: McGraw-Hill, Inc, 1986.
[15]
D. M. Blei, A. Y. Ng, and M. I. Jordan, Latent Dirichlet allocation, J. Mach. Learn. Res., vol. 3, no. 3, pp. 993-1022, 2003.
[16]
K. Stevens, P. Kegelmeyer, D. Andrzejewski, and D. Buttler, Exploring topic coherence over many models and many topics, in Proc. Joint Conf. on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Jeju Island, Korea, 2012.
[17]
F. Wang, H. Y. Wang, K. Xu, J. H. Wu, and X. H. Jia, Characterizing information diffusion in online social networks with linear diffusive model, in Proc. IEEE Int. Conf. on Distributed Computing Systems, Philadelphia, PA, USA, 2013.
[18]
V. L. Rubin, N. J. Conroy, Y. M. Chen, and S. Cornwell, Fake news or truth? Using satirical cues to detect potentially misleading news, in Proc. Ann. Conf. of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, San Diego, CA, USA, 2016.
[19]
M. Hardalov, I. Koychev, and P. Nakov, In search of credible news, in Proc. 17th Int. Conf. on Artificial Intelligence: Methodology, Systems, and Applications, Varna, Bulgaria, 2016.
[20]
M. Farajtabar, J. C. Yang, X. J. Ye, H. Xu, R. Trivedi, E. Khalil, S. Li, L. Song, and H. Y. Zha, Fake news mitigation via point process based intervention, in Proc. 34th Int. Conf. on Machine Learning, Sydney, Australia, 2017.
[21]
C. Chen, K. Wu, V. Srinivasan, and X. D. Zhang, Battling the internet water army: Detection of hidden paid posters, in Proc. IEEE/ACM Int. Conf. on Advances in Social Networks Analysis and Mining, Niagara, Canada, 2013.
[22]
F. Wang, K. Orton, P. Wagenseller, and K. Xu, Towards understanding community interests with topic modeling, IEEE Acc., vol. 6, pp. 24660-24668, 2018.
[23]
K. Lei, Y. Liu, S. R. Zhong, Y. B. Liu, K. Xu, Y. Shen, and M. Yang, Understanding user behavior in Sina Weibo online social network: A community approach, IEEE Acc., vol. 6, pp. 13302-13316, 2018.
[24]
K. Xu, F. Wang, H. Y. Wang, and B. Yang, A first step towards combating fake news over online social media, in Proc. 13th Int. Conf. on Wireless Algorithms, Systems, and Applications, Tianjin, China, 2018.
[25]
V. L. Rubin, Y. M. Chen, and N. J. Conroy, Deception detection for news: Three types of fakes, in Proc. 78th ASIS&T Ann. Meeting: Information Science with Impact: Research in and for the Community, Saint Louis, MO, USA, 2015.
[26]
W. Y. Wang, “Liar, liar pants on fire”: A new benchmark dataset for fake news detection, in Proc. 55th Ann. Meeting of the Association for Computational Linguistics, Vancouver, Canada, 2017.
[27]
T. Mikolov, K. Chen, G. S. Corrado, and J. Dean, Efficient estimation of word representations in vector space, in Proc. Int. Conf. on Learning Representations, Scottsdale, AZ, USA, 2013.