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Found 5 papers, 1 papers with code
Fraunhofer SIT at CheckThat! 2023: Tackling Classification Uncertainty Using Model Souping on the Example of Check-Worthiness Classification
Given a text snippet from a political debate, the aim of this task is to determine whether it should be assessed for check-worthiness.
Fraunhofer SIT at CheckThat! 2023: Mixing Single-Modal Classifiers to Estimate the Check-Worthiness of Multi-Modal Tweets
The option of sharing images, videos and audio files on social media opens up new possibilities for distinguishing between false information and fake news on the Internet.
Fake News Spreader Detection on Twitter using Character N-Grams. Notebook for PAN at CLEF 2020
Our final submitted systems use character n-grams as features in combination with a linear SVM for English and Logistic Regression for the Spanish language.
Similarity Detection Pipeline for Crawling a Topic Related Fake News Corpus
First, we propose a new, publicly available German topic related corpus for fake news detection.
Authorship verification in the absence of explicit features and thresholds
Moreover, many existing AV methods are based on explicit thresholds (needed to accept or reject a stated authorship), which are determined on training corpora.
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