SOTAVerified

Stance Prediction for Russian: Data and Analysis

2018-09-05Code Available0· sign in to hype

Nikita Lozhnikov, Leon Derczynski, Manuel Mazzara

Code Available — Be the first to reproduce this paper.

Reproduce

Code

Abstract

Stance detection is a critical component of rumour and fake news identification. It involves the extraction of the stance a particular author takes related to a given claim, both expressed in text. This paper investigates stance classification for Russian. It introduces a new dataset, RuStance, of Russian tweets and news comments from multiple sources, covering multiple stories, as well as text classification approaches to stance detection as benchmarks over this data in this language. As well as presenting this openly-available dataset, the first of its kind for Russian, the paper presents a baseline for stance prediction in the language.

Tasks

Benchmark Results

DatasetModelMetricClaimedVerifiedStatus
RuStanceBoostingF10.87Unverified

Reproductions