PHEMEPlus: Enriching Social Media Rumour Verification with External Evidence

John Dougrez-Lewis, Elena Kochkina, M. Arana-Catania, Maria Liakata, Yulan He
7/28/2022
cs.CLcs.AIcs.CY

No confident code implementation found for this paper.

Abstract

Work on social media rumour verification utilises signals from posts, their propagation and users involved. Other lines of work target identifying and fact-checking claims based on information from Wikipedia, or trustworthy news articles without considering social media context. However works combining the information from social media with external evidence from the wider web are lacking. To facilitate research in this direction, we release a novel dataset, PHEMEPlus, an extension of the PHEME benchmark, which contains social media conversations as well as relevant external evidence for each rumour. We demonstrate the effectiveness of incorporating such evidence in improving rumour verification models. Additionally, as part of the evidence collection, we evaluate various ways of query formulation to identify the most effective method.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Cite this paper

@article{dougrezlewis2022phemeplus,
  title  = {PHEMEPlus: Enriching Social Media Rumour Verification with External Evidence},
  author = {John Dougrez-Lewis and Elena Kochkina and M. Arana-Catania and Maria Liakata and Yulan He},
  year   = {2022},
  eprint = {2207.13970},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2207.13970v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2207.13970.svg)](https://codeofpaper.com/paper/2207.13970)

Discussion