T. Homepage,

, The Times

C. Harris, Detecting deceptive opinion spam using human computation, Workshops at AAAI on Artificial Intelligence, pp.87-93, 2012.

A. Heydari, M. Ali-tavakoli, N. Salim, and Z. Heydari, Detection of review spam: A survey, Expert Systems with Applications, vol.42, issue.7, pp.3634-3642, 2015.

M. Crawford, T. M. Khoshgoftaar, J. D. Prusa, A. N. Richter, and H. Najada, Survey of review spam detection using machine learning techniques, Journal of Big Data, vol.2, issue.1, pp.1-23, 2015.

Y. Ren and D. Ji, Neural networks for deceptive opinion spam detection: An empirical study, Information Sciences, vol.385, pp.213-224, 2017.

T. Mikolov, I. Sutskever, K. Chen, G. S. Corrado, and J. Dean, Distributed representations of words and phrases and their compositionality, Advances in Neural Information Processing Systems, vol.26, pp.3111-3119, 2013.

Q. Le and T. Mikolov, Distributed representations of sentences and documents, International Conference on Machine Learning, vol.32, pp.1188-1196, 2014.

A. Barushka and P. Hajek, Spam filtering using regularized neural networks with rectified linear units, AI*IA 2016 Advances in Artificial Intelligence, vol.10037, pp.65-75, 2016.

A. Barushka and P. Hajek, Spam filtering using integrated distribution-based balancing approach and regularized deep neural networks, Applied Intelligence, vol.48, issue.10, pp.3538-3556, 2018.

A. Barushka and P. Hajek, Spam filtering in social networks using regularized deep neural networks with ensemble learning, IFIP Int. Conf. on Artificial Intelligence Applications and Innovations, pp.38-49, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01821042

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F. Li, M. Huang, Y. Yang, and X. Zhu, Learning to identify review spam, Int. Joint Conf. on Artificial Intelligence (IJCAI 2011), pp.2488-2493, 2011.

S. Rayana and L. Akoglu, Collective opinion spam detection: Bridging review networks and metadata, 21th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, pp.985-994, 2015.

S. Xie, G. Wang, S. Lin, and P. S. Yu, Review spam detection via temporal pattern discovery, 18th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, pp.823-831, 2012.

J. Ye, S. Kumar, and L. Akoglu, Temporal opinion spam detection by multivariate indicative signals, 10nth Int. AAAI Conf. on Web and Social Media (ICWSM 2016), pp.743-746, 2016.

H. Li, G. Fei, S. Wang, B. Liu, W. Shao et al., Bimodal distribution and co-bursting in review spam detection, 26th Int. Conf. on World Wide Web, pp.1063-1072, 2017.

H. Li, Z. Chen, A. Mukherjee, B. Liu, and J. Shao, Analyzing and detecting opinion spam on a large-scale dataset via temporal and spatial patterns, 9th Int. AAAI Conf. on Web and Social Media (ICWSM 2015), pp.634-637, 2015.

M. Ott, C. Cardie, and J. Hancock, Estimating the prevalence of deception in online review communities, 21st Int. Conf. on World Wide Web, pp.201-210, 2012.

Y. Liu and B. Pang, A unified framework for detecting author spamicity by modeling review deviation, Expert Systems with Applications, vol.112, pp.148-155, 2018.

M. Ott, C. Cardie, and J. T. Hancock, Negative deceptive opinion spam, 2013 Conf. of the North American Chapter of the Assoc. for Computational Linguistics: Human Language Technologies, pp.497-501, 2013.

C. M. Yilmaz and A. O. Durahim, SPR2EP: A semi-supervised spam review detection framework, 2018 IEEE/ACM Int. Conf. on Advances in Social Networks Analysis and Mining (ASONAM), pp.306-313, 2018.

L. Li, B. Qin, W. Ren, and T. Liu, Document representation and feature combination for deceptive spam review detection, Neurocomputing, vol.254, pp.33-41, 2017.

Y. Zhang, S. Wang, P. Phillips, and G. Ji, Binary PSO with mutation operator for feature selection using decision tree applied to spam detection, Knowledge-Based Systems, vol.64, pp.22-31, 2014.

T. Chen, X. Li, H. Yin, and J. Zhang, Call attention to rumors: Deep attention based recurrent neural networks for early rumor detection, Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2018), pp.40-52, 2018.