4 papers
Fraunhofer SIT at CheckThat! 2023: Tackling Classification Uncertainty Using Model Souping on the Example of Check-Worthiness Classification
Raphael Frick, Inna Vogel, Jeong-Eun Choi
This paper describes the second-placed approach developed by the Fraunhofer SIT team in the CLEF-2023 CheckThat! lab Task 1B for English. Given a text snippet from a political deba…
Fraunhofer SIT at CheckThat! 2023: Mixing Single-Modal Classifiers to Estimate the Check-Worthiness of Multi-Modal Tweets
Raphael Frick, Inna Vogel
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. Due to t…
Fake News Spreader Detection on Twitter using Character N-Grams. Notebook for PAN at CLEF 2020
Inna Vogel, Meghana Meghana
The authors of fake news often use facts from verified news sources and mix them with misinformation to create confusion and provoke unrest among the readers. The spread of fake ne…
Similarity Detection Pipeline for Crawling a Topic Related Fake News Corpus
Inna Vogel, Jeong-Eun Choi, Meghana Meghana
Fake news detection is a challenging task aiming to reduce human time and effort to check the truthfulness of news. Automated approaches to combat fake news, however, are limited b…