PSIN 谣言检测——《Divide-and-Conquer: Post-User Interaction Network for Fake News Detection on Social Media》 _生活百科

论文信息

论文标题：Divide-and-Conquer: Post-User Interaction Network for Fake News Detection on Social Media论文作者：Erxue Min, Yu Rong, Yatao Bian, Tingyang Xu, Peilin Zhao, Junzhou Huang,Sophia Ananiadou论文来源：2022,WWW 论文地址：download 论文代码：download

Background挑战：
(1) 谣言检测涉及众多类型的实体和关系，需要一些方法来建模异质性；(2) 社交媒体中的话题出现了分布变化，显著降低了虚假新闻的性能；(3) 现有虚假新闻数据集通常缺乏较大规模、话题多样性和用户的社交关系；
基于文本的谣言检测方法存在如下两个问题：
(1) 首先，在新闻的社会背景下的信息是复杂的和异构的；
(2) 其次是分布偏移问题——训练分布不同于测试分布；
分布偏移例子：如虚假新闻分类器是在包含政治、体育、娱乐等普通主题的标记数据进行训练的，但是在测试集上出现了出现了诸如“黑天鹅事件”的新主题。
贡献：

We construct and publicize a new fake news dataset with social context named MC-Fake2 , which contains 27,155 news events in 5 topics, and their social context composed of 5 million posts, 2 million users and induced social graph with 0.2 billion edges.
We propose a novel Post-User Interaction Network (PSIN), which applies divide-and-conquer strategy to model the heterogeneous relations. Specifically, we integrate the post-post, user-user and post-user subgraphs with three variants of Graph Attention Networks based on their intrinsic characteristics. Additionally, we employ an additionally adversarial topic discriminator to learn topic-agnostic features for veracity classification.
We evaluate our proposed model on the curated dataset in two settings: in-topic split and out-of-topic split. The superior results of our model in both settings reveal the effectiveness of the proposed method.

2 Related work2.1 Fake News Datasets

BuzzFeedNews specializes in political news published on Facebook during the 2016 U.S. Presidential Election.
LIAR collects 12.8K short statements with manual labels from the political fact-checking website.
FA-KES consists of 804 articles around Syrian war.
CREDBANK contains about 1000 news events and 60 million tweets, labeled by Amazon mechanical Turk.
Twitter15 contains 778 reported events between March 2015 to December 2015, with 1 million posts from 500k users.
FakeNewsNet is a data repository with news content and related posts, containing political news and entertainment news which are checked by politifact and gossiocop.
FakeHealth is collected from healthcare information review website Health News Review, it contains over 2000 news articles, 500k posts and 27k user profiles, along with user networks.
COAID collects 1,896 news, 183,654 related user engagements, 516 social platform posts about COVID-19, and ground truth labels.
FakeCovid is a multilingual cross-domain dataset of 5,182 fact-checked news article for COVID-19 from 92 different fact-checking websites.
MM-COVID is a multilingual and multidimensional COVID-19 fake news data repository, containing 3,981 pieces of fake news content and 7,192 trustworthy information from 6 different languages.