Detect Rumors on Twitter by Promoting Information Campaigns with Generative Adversarial Learning-Reference-Cited by-同舟云学术

Detect Rumors on Twitter by Promoting Information Campaigns with Generative Adversarial Learning

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:The World Wide Web Conference on - WWW '19
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Author:

Ma Jing¹,Gao Wei²,Wong Kam-Fai³

Affiliation:

1. The Chinese University of Hong Kong Hong Kong SAR

2. Victoria University of Wellington New Zealand

3. The Chinese University of Hong Kong & MoE Key Lab of High Con?dence Software Technologies, CUHK

Publisher

ACM Press

Reference22 articles.

1. G.W. Allport and L.J. Postman. 1965. The psychology of rumor. Russell & Russell.

2. Antoine Bordes, Le´on Bottou, and Patrick Gallinari. 2009. Sgd-qn: Careful quasi-newton stochastic gradient descent. Journal of Machine Learning Research 10, Jul (2009), 1737-1754.

3. Carlos Castillo, Marcelo Mendoza, and Barbara Poblete. 2011. Information credibility on twitter. In Proceedings of the 20th international conference on World wide web. 675-684.

4. Kyunghyun Cho, Bart van Merriënboer, Dzmitry Bahdanau, and Yoshua Bengio. 2014. On the properties of neural machine translation: Encoder-decoder approaches. arXiv preprint arXiv:1409.1259(2014).

5. Ronan Collobert, Jason Weston, Le´on Bottou, Michael Karlen, Koray Kavukcuoglu, and Pavel Kuksa. 2011. Natural language processing (almost) from scratch. Journal of Machine Learning Research 12, Aug (2011), 2493-2537.

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