RumourEval 2019: Determining Rumour Veracity and Support for Rumours

09/18/2018
by   Genevieve Gorrell, et al.
0

This is the proposal for RumourEval-2019, which will run in early 2019 as part of that year's SemEval event. Since the first RumourEval shared task in 2017, interest in automated claim validation has greatly increased, as the dangers of "fake news" have become a mainstream concern. Yet automated support for rumour checking remains in its infancy. For this reason, it is important that a shared task in this area continues to provide a focus for effort, which is likely to increase. We therefore propose a continuation in which the veracity of further rumours is determined, and as previously, supportive of this goal, tweets discussing them are classified according to the stance they take regarding the rumour. Scope is extended compared with the first RumourEval, in that the dataset is substantially expanded to include Reddit as well as Twitter data, and additional languages are also included.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
07/28/2020

Universal Fake News Collection System using Debunking Tweets

Large numbers of people use Social Networking Services (SNS) for easy ac...
research
12/16/2017

Characterizing Political Fake News in Twitter by its Meta-Data

This article presents a preliminary approach towards characterizing poli...
research
01/01/2022

Automated Fake News Detection using cross-checking with reliable sources

Over the past decade, fake news and misinformation have turned into a ma...
research
07/11/2022

Overview of the Shared Task on Fake News Detection in Urdu at FIRE 2021

Automatic detection of fake news is a highly important task in the conte...
research
04/11/2022

Methods of Informational Trends Analytics and Fake News Detection on Twitter

In the paper, different approaches for the analysis of news trends on Tw...
research
08/30/2020

QMUL-SDS at CheckThat! 2020: Determining COVID-19 Tweet Check-Worthiness Using an Enhanced CT-BERT with Numeric Expressions

This paper describes the participation of the QMUL-SDS team for Task 1 o...
research
01/12/2021

Fake News Detection System using XLNet model with Topic Distributions: CONSTRAINT@AAAI2021 Shared Task

With the ease of access to information, and its rapid dissemination over...

Please sign up or login with your details

Forgot password? Click here to reset