Revisiting Rumour Stance Classification: Dealing with Imbalanced Data
Correctly classifying stances of replies can be significantly helpful for the automatic detection and classification of online rumours. One major challenge is that there are considerably more non-relevant replies (comments) than informative ones (supports and denies), making the task highly imbalanced. In this paper we revisit the task of rumour stance classification, aiming to improve the performance over the informative minority classes. We experiment with traditional methods for imbalanced data treatment with feature- and BERT-based classifiers. Our models outperform all systems in RumourEval 2017 shared task and rank second in RumourEval 2019.
Code (0)
등록된 구현이 없습니다.
Tasks
ClassificationRumour DetectionStance ClassificationSimilar Papers 제목 키워드 기반
Measuring What Counts: The case of Rumour Stance Classification
Stance classification can be a powerful tool for understanding whether and which users believe in online rumours. The task aims to automatically predict the stance of replies towards a given rumour, namely support, deny,…
ClassificationGeneral ClassificationRumour DetectionStance Classification+1Turing at SemEval-2017 Task 8: Sequential Approach to Rumour Stance Classification with Branch-LSTM
This paper describes team Turing's submission to SemEval 2017 RumourEval: Determining rumour veracity and support for rumours (SemEval 2017 Task 8, Subtask A). Subtask A addresses the challenge of rumour stance classific…
General ClassificationRumour DetectionStance ClassificationStance DetectionStance Classification for Rumour Analysis in Twitter: Exploiting Affective Information and Conversation Structure
Analysing how people react to rumours associated with news in social media is an important task to prevent the spreading of misinformation, which is nowadays widely recognized as a dangerous tendency. In social media con…
ClassificationGeneral ClassificationMisinformationRumour Detection+1Can We Identify Stance Without Target Arguments? A Study for Rumour Stance Classification
Considering a conversation thread, rumour stance classification aims to identify the opinion (e.g. agree or disagree) of replies towards a target (rumour story). Although the target is expected to be an essential compone…
ClassificationSentiment AnalysisStance ClassificationCan Rumour Stance Alone Predict Veracity?
Prior manual studies of rumours suggested that crowd stance can give insights into the actual rumour veracity. Even though numerous studies of automatic veracity classification of social media rumours have been carried o…
General ClassificationRumour DetectionVeracity Classification