Truth be Told: Fake News Detection Using User Reactions on Reddit

被引：8

作者：

Setty, Vinay ^{[1
]}

Rekve, Erlend ^{[1
]}

机构：

[1] Univ Stavanger, Stavanger, Norway

来源：

CIKM '20: PROCEEDINGS OF THE 29TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT | 2020年

关键词：

Fake news detection; Reddit comments; Deep neural networks;

D O I：

10.1145/3340531.3417463

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we provide a large dataset for fake news detection using social media comments. The dataset consists of 12,597 claims (of which 63% are labelled as fake) from four different sources (Snopes, Poltifact, Emergent and Twitter). The novel part of the dataset is that it also includes over 662K social media discussion comments related to these claims from Reddit. We make this dataset public for the research community. In addition, for the task of fake news detection using social media comments, we provide a simple but strong baseline solution deep neural network model which beats several solutions in the literature.

引用

页码：3325 / 3328

页数：4

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