24 citations · 58 across the 6 of their papers we have counts for
7 papers
The Media Bias Taxonomy: A Systematic Literature Review on the Forms and Automated Detection of Media Bias
Timo Spinde, Smi Hinterreiter, Fabian Haak +4
The way the media presents events can significantly affect public perception, which in turn can alter people's beliefs and views. Media bias describes a one-sided or polarizing per…
TEIMMA: The First Content Reuse Annotator for Text, Images, and Math
Ankit Satpute, André Greiner-Petter, Moritz Schubotz +4
This demo paper presents the first tool to annotate the reuse of text, images, and mathematical formulae in a document pair -- TEIMMA. Annotating content reuse is particularly usef…
Methods and Tools to Advance the Retrieval of Mathematical Knowledge from Digital Libraries for Search-, Recommendation-, and Assistance-Systems
Bela Gipp, André Greiner-Petter, Moritz Schubotz +1
This project investigated new approaches and technologies to enhance the accessibility of mathematical content and its semantic information for a broad range of information retriev…
A Benchmark of PDF Information Extraction Tools using a Multi-Task and Multi-Domain Evaluation Framework for Academic Documents
Norman Meuschke, Apurva Jagdale, Timo Spinde +2
Extracting information from academic PDF documents is crucial for numerous indexing, retrieval, and analysis use cases. Choosing the best tool to extract specific content elements…
AI Usage Cards: Responsibly Reporting AI-generated Content
Jan Philip Wahle, Terry Ruas, Saif M. Mohammad +2
Given AI systems like ChatGPT can generate content that is indistinguishable from human-made work, the responsible use of this technology is a growing concern. Although understandi…
Detecting Cross-Language Plagiarism using Open Knowledge Graphs
Johannes Stegmüller, Fabian Bauer-Marquart, Norman Meuschke +3
Identifying cross-language plagiarism is challenging, especially for distant language pairs and sense-for-sense translations. We introduce the new multilingual retrieval model Cros…
Testing the Generalization of Neural Language Models for COVID-19 Misinformation Detection
Jan Philip Wahle, Nischal Ashok, Terry Ruas +3
A drastic rise in potentially life-threatening misinformation has been a by-product of the COVID-19 pandemic. Computational support to identify false information within the massive…