Dataset of Fake News Detection and Fact Verification: A Survey
The rapid increase in fake news, which causes significant damage to society, triggers many fake news related studies, including the development of fake news detection and fact verification techniques. The resources for these studies are mainly available as public datasets taken from Web data. We surveyed 118 datasets related to fake news research on a large scale from three perspectives: (1) fake news detection, (2) fact verification, and (3) other tasks; for example, the analysis of fake news and satire detection. We also describe in detail their utilization tasks and their characteristics. Finally, we highlight the challenges in the fake news dataset construction and some research opportunities that address these challenges. Our survey facilitates fake news research by helping researchers find suitable datasets without reinventing the wheel, and thereby, improves fake news studies in depth.
Code (0)
등록된 구현이 없습니다.
Tasks
Fact VerificationFake News DetectionSatire DetectionSurveySimilar Papers 제목 키워드 기반
Connecting the Dots Between Fact Verification and Fake News Detection
Fact verification models have enjoyed a fast advancement in the last two years with the development of pre-trained language models like BERT and the release of large scale datasets such as FEVER. However, the challenging…
Fact VerificationFake News DetectionText SummarizationOverview of Factify5WQA: Fact Verification through 5W Question-Answering
Researchers have found that fake news spreads much times faster than real news. This is a major problem, especially in today's world where social media is the key source of news for many among the younger population. Fac…
Fact VerificationFake News DetectionQuestion AnsweringSynthetic News Generation for Fake News Classification
This study explores the generation and evaluation of synthetic fake news through fact based manipulations using large language models (LLMs). We introduce a novel methodology that extracts key facts from real articles, m…
ArticlesClassificationFact VerificationFake News Detection+3VeraCT Scan: Retrieval-Augmented Fake News Detection with Justifiable Reasoning
The proliferation of fake news poses a significant threat not only by disseminating misleading information but also by undermining the very foundations of democracy. The recent advance of generative artificial intelligen…
Fake News DetectionRetrievalNoFake at CheckThat! 2021: Fake News Detection Using BERT
Much research has been done for debunking and analysing fake news. Many researchers study fake news detection in the last year, but many are limited to social media data. Currently, multiples fact-checkers are publishing…
ArticlesClaim VerificationFake News Detection