Prof. Dr. Béla Gipp

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unigoe
 

1-18 of 18
 
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  • 2023 Conference Paper
    ​ ​Introducing MBIB -- the first Media Bias Identification Benchmark Task and Dataset Collection​
    Wessel, M.; Horych, T.; Ruas, T. ; Aizawa, A.; Gipp, B.   & Spinde, T.​ (2023)
    ​Proceedings of the 46th International ACM SIGIR pp. 2765​-2774. ​46th International ACM SIGIR Conference on Research and Development in Information Retrieval​, Taipei.
    New York​: Association for Computing Machinery. DOI: https://doi.org/10.1145/3539618.3591882 
    Details  DOI 
  • 2023 Book Chapter
    ​ ​A Benchmark of PDF Information Extraction Tools Using a Multi-task and Multi-domain Evaluation Framework for Academic Documents​
    Meuschke, N. ; Jagdale, A.; Spinde, T.; Mitrović, J.& Gipp, B. ​ (2023)
    In:​Sserwanga, I.​ (Ed.), Information for a Better World: Normality, Virtuality, Physicality, Inclusivity pp. 383​-405. (Vol. 13972). ​Cham: ​Springer. DOI: https://doi.org/10.1007/978-3-031-28032-0_31 
    Details  DOI 
  • 2022 Conference Paper
    ​ ​Exploiting Transformer-Based Multitask Learning for the Detection of Media Bias in News Articles​
    Spinde, T.; Krieger, J.-D.; Ruas, T. ; Mitrović, J.; Götz-Hahn, F.; Aizawa, A. & Gipp, B. ​ (2022)
    In:Smits, Malte​ (Ed.), ​Information for a Better World: Shaping the Global Future pp. 225​-235. (Vol. 1). ​17th International Conference, iConference 2022​, Virtual Event.
    Cham​: Springer. DOI: https://doi.org/10.1007/978-3-030-96957-8_20 
    Details  DOI 
  • 2021 Preprint
    ​ ​Towards A Reliable Ground-Truth For Biased Language Detection​
    Spinde, T.; Krieger, D.; Plank, M.& Gipp, B. ​ (2021)
    Details  arXiv 
  • 2021 Preprint
    ​ ​Identification of Biased Terms in News Articles by Comparison of Outlet-specific Word Embeddings​
    Spinde, T.; Rudnitckaia, L.; Hamborg, F.& Gipp, B. ​ (2021)
    Details  arXiv 
  • 2021 Preprint
    ​ ​Do You Think It's Biased? How To Ask For The Perception Of Media Bias​
    Spinde, T.; Kreuter, C.; Gaissmaier, W.; Hamborg, F.; Gipp, B.  & Giese, H.​ (2021)
    Details  arXiv 
  • 2021 Preprint
    ​ ​TASSY -- A Text Annotation Survey System​
    Spinde, T.; Sinha, K.; Meuschke, N.  & Gipp, B. ​ (2021)
    Details  arXiv 
  • 2021 Preprint
    ​ ​How to Effectively Identify and Communicate Person-Targeting Media Bias in Daily News Consumption?​
    Hamborg, F.; Spinde, T.; Heinser, K.; Donnay, K.& Gipp, B. ​ (2021)
    Details  arXiv 
  • 2021 Preprint
    ​ ​Enabling News Consumers to View and Understand Biased News Coverage: A Study on the Perception and Visualization of Media Bias​
    Spinde, T.; Hamborg, F.; Donnay, K.; Becerra, A.& Gipp, B. ​ (2021)
    Details  arXiv 
  • 2021 Conference Paper
    ​ ​Enabling News Consumers to View and Understand Biased News Coverage: A Study on the Perception and Visualization of Media Bias​
    Spinde, T.; Hamborg, F.; Donnay, K.; Becerra, A. & Gipp, B. ​ (2021)
    In:Huang, Ruhua; Wu, Dan; Marchionini, Gary; He, Daqing; Cunningham, Sally Jo; Hansen, Preben​ (Eds.), ​Proceedings pp. 389​-392. ​JCDL '20: The ACM/IEEE Joint Conference on Digital Libraries in 2020​, Virtual Event.
    ACM Digital Library. DOI: https://doi.org/10.1145/3383583.3398619 
    Details  DOI 
  • 2021 Conference Paper
    ​ ​Do You Think It's Biased? How To Ask For The Perception Of Media Bias​
    Spinde, T.; Kreuter, C.; Gaissmaier, W.; Hamborg, F.; Gipp, B.   & Giese, H.​ (2021)
    ​Proceedings pp. 61​-69. ​2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL)​, Champaign, IL, USA. DOI: https://doi.org/10.1109/JCDL52503.2021.00018 
    Details  DOI 
  • 2021 Conference Paper
    ​ ​TASSY—A Text Annotation Survey System​
    Spinde, T.; Sinha, K.; Meuschke, N.   & Gipp, B. ​ (2021)
    ​Proceedings pp. 322​-323. ​2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL)​, Champaign, IL, USA. DOI: https://doi.org/10.1109/JCDL52503.2021.00052 
    Details  DOI 
  • 2021 Conference Paper
    ​ ​Neural Media Bias Detection Using Distant Supervision With BABE - Bias Annotations By Experts​
    Spinde, T.; Plank, M.; Krieger, J.-D.; Ruas, T. ; Gipp, B.   & Aizawa, A.​ (2021)
    ​Findings of the Association for Computational Linguistics pp. 1166​-1177. ​EMNLP 2021​, Punta Cana, Dominican Republic.
    Association for Computational Linguistics. DOI: https://doi.org/10.18653/v1/2021.findings-emnlp.101 
    Details  DOI 
  • 2021 Journal Article | Research Paper
    ​ ​Automated identification of bias inducing words in news articles using linguistic and context-oriented features​
    Spinde, T.; Rudnitckaia, L.; Mitrović, J.; Hamborg, F.; Granitzer, M.; Gipp, B.   & Donnay, K.​ (2021) 
    Information Processing & Management58(3) art. 102505​.​ DOI: https://doi.org/10.1016/j.ipm.2021.102505 
    Details  DOI 
  • 2021 Conference Paper
    ​ ​Identification of Biased Terms in News Articles by Comparison of Outlet-Specific Word Embeddings​
    Spinde, T.; Rudnitckaia, L.; Hamborg, F. & Gipp, B. ​ (2021)
    In:Toeppe, Katharina; Yan, Hui; Wah Chu, Samuel Kai​ (Eds.), ​Diversity, Divergence, Dialogue pp. 215​-224. (Vol. 1). ​16th International Conference, iConference 2021​, Beijing.
    Cham​: Springer. DOI: https://doi.org/10.1007/978-3-030-71305-8_17 
    Details  DOI 
  • 2021 Conference Paper
    ​ ​Towards A Reliable Ground-Truth For Biased Language Detection​
    Spinde, T.; Krieger, D.; Plank, M. & Gipp, B. ​ (2021)
    ​Proceedings pp. 324​-325. ​2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL)​, Champaign, IL, USA. DOI: https://doi.org/10.1109/JCDL52503.2021.00053 
    Details  DOI 
  • 2020 Conference Paper
    ​ ​An Integrated Approach to Detect Media Bias in German News Articles​
    Spinde, T.; Hamborg, F. & Gipp, B. ​ (2020)
    In:Huang, Ruhua; Wu, Dan; Marchionini, Gary; He, Daqing; Cunningham, Sally Jo; Hansen, Preben​ (Eds.), ​Proceedings pp. 505​-506. ​JCDL '20: The ACM/IEEE Joint Conference on Digital Libraries in 2020​, Virtual Event.
    ACM Digital Library. DOI: https://doi.org/10.1145/3383583.3398585 
    Details  DOI 
  • 2020 Conference Paper
    ​ ​Media Bias in German News Articles: A Combined Approach​
    Spinde, T.; Hamborg, F. & Gipp, B. ​ (2020)
    In:Koprinska, Irena; Kamp, Michael; Appice, Annalisa; Loglisci, Corrado; Antonie, Luiza; Zimmermann, Albrecht; Guidotti, Riccardo, et al.​ (Eds.), ​ECML PKDD 2020 Workshops pp. 581​-590. ​Joint European Conference on Machine Learning and Knowledge Discovery in Databases​, Ghent, Belgium.
    Cham​: Springer. DOI: https://doi.org/10.1007/978-3-030-65965-3_41 
    Details  DOI 

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