Fake News Detection in Social Networks via Crowd Signals-Reference-Cited by-同舟云学术

Fake News Detection in Social Networks via Crowd Signals

Published:2018 Issue: Volume: Page:
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Container-title:Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18
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Author:

Tschiatschek Sebastian¹,Singla Adish²,Gomez Rodriguez Manuel³,Merchant Arpit⁴,Krause Andreas⁵

Affiliation:

1. Microsoft Research, Cambridge, United Kingdom

2. MPI-SWS, Saarbruecken, Germany

3. MPI-SWS, Kaiserslautern, Germany

4. IIIT-H, Hyderabad, India

5. ETH Zurich, Zurich, Switzerland

Publisher

ACM Press

Reference39 articles.

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2. Olivier Chapelle and Lihong Li. 2011. An empirical evaluation of thompson sampling. In NIPS. 2249--2257.

3. Liang Chen, Zheng Yan, Weidong Zhang, and Raimo Kantola. 2015. TruSMS: a trustworthy SMS spam control system based on trust management. Future Generation Computer Systems Vol. 49 (2015), 77--93.

4. Yuxin Chen, Jean-Michel Renders, Morteza Haghir Chehreghani, and Andreas Krause. 2017. Efficient Online Learning for Optimizing Value of Information: Theory and Application to Interactive Troubleshooting. In UAI.

5. Pern Hui Chia and Svein Johan Knapskog. 2011. Re-evaluating the wisdom of crowds in assessing web security International Conference on Financial Cryptography and Data Security. 299--314.

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