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Rumor Detection on Social Media: Datasets, Methods and Opportunities
Quanzhi Li
|
Qiong Zhang
|
Luo Si
|
Yingchi Liu
|
Paper Details:
Month: November
Year: 2019
Location: Hong Kong, China
Venue:
EMNLP |
WS |
Citations
URL
No Citations Yet
https://figshare.com/articles/PHEME_rumour_scheme_da
https://figshare.com/articles/PHEME_dataset_for_Rumou
http://alt.qcri.org/~wgao/data/rumdect.zip
http://alt.qcri.org/~wgao/data/rumdect.zip
https://www.dropbox.com/s/7ewzdrbelpmrnxu/rumdetect
https://www.dropbox.com/s/7ewzdrbelpmrnxu/rumdetect
https://github.com/BuzzFeedNews/2016-
https://competitions.codalab.org/competitions/19938#lear
https://www.kaggle.com/arminehn/rumor-citation
https://www.kaggle.com/arminehn/rumor-citation
https://github.com/gabll/some-like-it-
https://www.kaggle.com/arminehn/rumor-citation
https://github.com/KaiDMML/FakeNewsNet
http://www.fakenewschallenge.org
https://www.kaggle.com/c/fake-news-
https://t.co/CDbjf65bKG
https://arxiv.org/abs/1807.03505
https://competitions.codalab.org/competitions/19938
https://arxiv.org/abs/1809.01286
https://arxiv.org/abs/1812.00315
Field Of Study
Linguistic Trends
Discourse
Syntax
Task
Information Retrieval
Approach
Deep Learning
Language
Chinese
Dataset
News
Chat
Social Media
Twitter