We present a study on predicting the factuality of reporting and bias of news media. While
previous work has focused on studying the veracity of claims or documents, here we are …

Social media have been growing rapidly and become essential elements of many people's
lives. Meanwhile, social media have also come to be a popular source for identity deception …

Understanding attitudes expressed in texts, also known as stance detection, plays an
important role in systems for detecting false information online, be it misinformation …

Given the constantly growing proliferation of false claims online in recent years, there has
been also a growing research interest in automatically distinguishing false rumors from …

We examine the disconnect between scholarship and practice in applying machine learning
to trust and safety problems, using misinformation detection as a case study. We survey …

In the context of fake news, bias, and propaganda, we study two important but relatively
under-explored problems:(i) trustworthiness estimation (on a 3-point scale) and (ii) political …

We present SemEval-2019 Task 8 on Fact Checking in Community Question Answering
Forums, which features two subtasks. Subtask A is about deciding whether a question asks …

We study the problem of automatic fact-checking, paying special attention to the impact of
contextual and discourse information. We address two related tasks:(i) detecting check …

Disinformation can be used to sway public opinion toward a certain political or economic
direction, adversely impact public health, and mobilize groups to engage in violent …

We introduce the notion of “seminar users”, who are social media users engaged in
propaganda in support of a political entity. We develop a framework that can identify such …