Search Results for author: Anders Edelbo Lillie

Found 3 papers, 2 papers with code

Joint Rumour Stance and Veracity Prediction

2 code implementations WS (NoDaLiDa) 2019 Anders Edelbo Lillie, Emil Refsgaard Middelboe, Leon Derczynski

In our experiments, monolinugal scores reach stance-based veracity accuracy of 0. 83 (F1 0. 68); applying the model across languages predicts veracity of claims with an accuracy of 0. 82 (F1 0. 67).

Rumour Detection Stance Classification

Danish Stance Classification and Rumour Resolution

1 code implementation2 Jul 2019 Anders Edelbo Lillie, Emil Refsgaard Middelboe

Furthermore, experiments show that stance labels can be used across languages and platforms with a HMM to predict the veracity of rumours, achieving an accuracy of 0. 82 and F1 score of 0. 67.

Classification Feature Engineering +3

Fake News Detection using Stance Classification: A Survey

no code implementations29 Jun 2019 Anders Edelbo Lillie, Emil Refsgaard Middelboe

This paper surveys and presents recent academic work carried out within the field of stance classification and fake news detection.

Classification Fake News Detection +3

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