| Automated identification of media bias in news articles: an interdisciplinary literature review F Hamborg, K Donnay, B Gipp International Journal on Digital Libraries 20 (4), 391-415, 2019 | 290 | 2019 |
| news-please: a Generic News Crawler and Extractor F Hamborg, N Meuschke, C Breitinger, B Gipp | 161 | 2017 |
| Automated identification of bias inducing words in news articles using linguistic and context-oriented features T Spinde, L Rudnitckaia, J Mitrović, F Hamborg, M Granitzer, B Gipp, ... Information Processing & Management 58 (3), 102505, 2021 | 80 | 2021 |
| NewsMTSC: a dataset for (multi-) target-dependent sentiment classification in political news articles F Hamborg, K Donnay, P Merlo Association for Computational Linguistics (ACL), 2021 | 72 | 2021 |
| Giveme5w1h: A universal system for extracting main events from news articles F Hamborg, C Breitinger, B Gipp arXiv preprint arXiv:1909.02766, 2019 | 67 | 2019 |
| MBIC--A Media Bias Annotation Dataset Including Annotator Characteristics T Spinde, L Rudnitckaia, K Sinha, F Hamborg, B Gipp, K Donnay arXiv preprint arXiv:2105.11910, 2021 | 65* | 2021 |
| Automated identification of media bias by word choice and labeling in news articles F Hamborg, A Zhukova, B Gipp 2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL), 196-205, 2019 | 56 | 2019 |
| Giveme5W: main event retrieval from news articles by extraction of the five journalistic w questions F Hamborg, S Lachnit, M Schubotz, T Hepp, B Gipp International conference on information, 356-366, 2018 | 49 | 2018 |
| Enabling news consumers to view and understand biased news coverage: a study on the perception and visualization of media bias T Spinde, F Hamborg, K Donnay, A Becerra, B Gipp Proceedings of the ACM/IEEE joint conference on digital libraries in 2020 …, 2020 | 48 | 2020 |
| Bias-aware news analysis using matrix-based news aggregation F Hamborg, N Meuschke, B Gipp International Journal on Digital Libraries 21 (2), 129-147, 2020 | 48 | 2020 |
| Introducing mathqa: a math-aware question answering system M Schubotz, P Scharpf, K Dudhat, Y Nagar, F Hamborg, B Gipp Information Discovery and Delivery 46 (4), 214-224, 2018 | 43 | 2018 |
| Matrix-based news aggregation: exploring different news perspectives F Hamborg, N Meuschke, B Gipp 2017 ACM/IEEE Joint Conference on Digital Libraries (JCDL), 1-10, 2017 | 40 | 2017 |
| Analyzing mathematical content to detect academic plagiarism N Meuschke, M Schubotz, F Hamborg, T Skopal, B Gipp Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 38 | 2017 |
| Media bias, the social sciences, and nlp: Automating frame analyses to identify bias by word choice and labeling F Hamborg Proceedings of the 58th annual meeting of the association for computational …, 2020 | 35 | 2020 |
| Evaluating and improving the extraction of mathematical identifier definitions M Schubotz, L Krämer, N Meuschke, F Hamborg, B Gipp Experimental IR Meets Multilinguality, Multimodality, and Interaction: 8th …, 2017 | 35 | 2017 |
| An integrated approach to detect media bias in german news articles T Spinde, F Hamborg, B Gipp Proceedings of the ACM/IEEE joint conference on digital libraries in 2020 …, 2020 | 30 | 2020 |
| Classification and clustering of arxiv documents, sections, and abstracts, comparing encodings of natural and mathematical language P Scharpf, M Schubotz, A Youssef, F Hamborg, N Meuschke, B Gipp Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020 …, 2020 | 30 | 2020 |
| Extraction of main event descriptors from news articles by answering the journalistic five W and one H questions F Hamborg, C Breitinger, M Schubotz, S Lachnit, B Gipp Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries …, 2018 | 26 | 2018 |
| Identification and analysis of media bias in news articles F Hamborg, N Meuschke, A Aizawa, B Gipp Humboldt-Universität zu Berlin, 2017 | 26 | 2017 |
| Media bias in german news articles: A combined approach T Spinde, F Hamborg, B Gipp Joint European Conference on Machine Learning and Knowledge Discovery in …, 2020 | 25 | 2020 |
Bela GippProfessor at the University of Göttingen & Director of Research at the SUB Göttingen在 uni-goettingen.de 的电子邮件经过验证
