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ORCIDTimo Spinde
Person information
- affiliation: University of Konstanz, Department of Computer and Information Science, Germany
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2020 – today
- 2024
[j3]Smi Hinterreiter
, Timo Spinde, Sebastian Oberdörfer, Isao Echizen, Marc Erich Latoschik:
News Ninja: Gamified Annotation of Linguistic Bias in Online News. Proc. ACM Hum. Comput. Interact. 8(CHI): 1-29 (2024)- [c16]Tomás Horych, Martin Paul Wessel, Jan Philip Wahle, Terry Ruas, Jerome Waßmuth, André Greiner-Petter, Akiko Aizawa, Bela Gipp, Timo Spinde:
MAGPIE: Multi-Task Analysis of Media-Bias Generalization with Pre-Trained Identification of Expressions. LREC/COLING 2024: 10903-10920 - [i18]Tomás Horych, Martin Wessel, Jan Philip Wahle, Terry Ruas, Jerome Waßmuth, André Greiner-Petter, Akiko Aizawa, Bela Gipp, Timo Spinde:
MAGPIE: Multi-Task Media-Bias Analysis Generalization for Pre-Trained Identification of Expressions. CoRR abs/2403.07910 (2024) - [i17]Smi Hinterreiter, Martin Wessel, Fabian Schliski, Isao Echizen, Marc Erich Latoschik, Timo Spinde:
NewsUnfold: Creating a News-Reading Application That Indicates Linguistic Media Bias and Collects Feedback. CoRR abs/2407.17045 (2024) - [i16]Smi Hinterreiter, Timo Spinde, Sebastian Oberdörfer, Isao Echizen, Marc Erich Latoschik:
News Ninja: Gamified Annotation of Linguistic Bias in Online News. CoRR abs/2407.17111 (2024) - [i15]Tomás Horych, Christoph Mandl, Terry Ruas, André Greiner-Petter, Bela Gipp, Akiko Aizawa, Timo Spinde:
The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection. CoRR abs/2411.11081 (2024) - 2023
- [j2]Timo Spinde, Elisabeth Richter, Martin Wessel, Juhi Kulshrestha, Karsten Donnay:
What do Twitter comments tell about news article bias? Assessing the impact of news article bias on its perception on Twitter. Online Soc. Networks Media 37-38: 100264 (2023) - [c15]Norman Meuschke, Apurva Jagdale, Timo Spinde, Jelena Mitrovic, Bela Gipp:
A Benchmark of PDF Information Extraction Tools Using a Multi-task and Multi-domain Evaluation Framework for Academic Documents. iConference (2) 2023: 383-405 - [c14]Martin Wessel, Tomás Horych, Terry Ruas, Akiko Aizawa, Bela Gipp, Timo Spinde:
Introducing MBIB - The First Media Bias Identification Benchmark Task and Dataset Collection. SIGIR 2023: 2765-2774 - [i14]Norman Meuschke, Apurva Jagdale, Timo Spinde, Jelena Mitrovic, Bela Gipp:
A Benchmark of PDF Information Extraction Tools using a Multi-Task and Multi-Domain Evaluation Framework for Academic Documents. CoRR abs/2303.09957 (2023) - [i13]Martin Wessel, Tomás Horych, Terry Ruas, Akiko Aizawa, Bela Gipp, Timo Spinde:
Introducing MBIB - the first Media Bias Identification Benchmark Task and Dataset Collection. CoRR abs/2304.13148 (2023) - [i12]Timo Spinde, Smi Hinterreiter, Fabian Haak, Terry Ruas, Helge Giese, Norman Meuschke, Bela Gipp:
The Media Bias Taxonomy: A Systematic Literature Review on the Forms and Automated Detection of Media Bias. CoRR abs/2312.16148 (2023) - 2022
- [c13]Timo Spinde, Jan-David Krieger, Terry Ruas, Jelena Mitrovic, Franz Götz-Hahn, Akiko Aizawa, Bela Gipp:
Exploiting Transformer-Based Multitask Learning for the Detection of Media Bias in News Articles. iConference (1) 2022: 225-235 - [c12]Jan-David Krieger, Timo Spinde, Terry Ruas, Juhi Kulshrestha, Bela Gipp:
A domain-adaptive pre-training approach for language bias detection in news. JCDL 2022: 3 - [i11]Jan-David Krieger, Timo Spinde, Terry Ruas, Juhi Kulshrestha, Bela Gipp:
A Domain-adaptive Pre-training Approach for Language Bias Detection in News. CoRR abs/2205.10773 (2022) - [i10]Timo Spinde, Manuel Plank, Jan-David Krieger, Terry Ruas, Bela Gipp, Akiko Aizawa:
Neural Media Bias Detection Using Distant Supervision With BABE - Bias Annotations By Experts. CoRR abs/2209.14557 (2022) - [i9]Timo Spinde, Jan-David Krieger, Terry Ruas, Jelena Mitrovic, Franz Götz-Hahn, Akiko Aizawa, Bela Gipp:
Exploiting Transformer-based Multitask Learning for the Detection of Media Bias in News Articles. CoRR abs/2211.03491 (2022) - 2021
- [j1]Timo Spinde, Lada Rudnitckaia, Jelena Mitrovic, Felix Hamborg, Michael Granitzer, Bela Gipp, Karsten Donnay:
Automated identification of bias inducing words in news articles using linguistic and context-oriented features. Inf. Process. Manag. 58(3): 102505 (2021) - [c11]Timo Spinde, Manuel Plank, Jan-David Krieger, Terry Ruas, Bela Gipp, Akiko Aizawa:
Neural Media Bias Detection Using Distant Supervision With BABE - Bias Annotations By Experts. EMNLP (Findings) 2021: 1166-1177 - [c10]Timo Spinde, Lada Rudnitckaia, Felix Hamborg, Bela Gipp:
Identification of Biased Terms in News Articles by Comparison of Outlet-Specific Word Embeddings. iConference (2) 2021: 215-224 - [c9]Timo Spinde:
An Interdisciplinary Approach for the Automated Detection and Visualization of Media Bias in News Articles. ICDM (Workshops) 2021: 1096-1103 - [c8]Jonas Ehrhardt, Timo Spinde, Ali Vardasbi, Felix Hamborg:
Omission of Information: Identifying Political Slant via an Analysis of Co-occurring Entities. ISI 2021: 80-93 - [c7]Timo Spinde, Christina Kreuter, Wolfgang Gaissmaier, Felix Hamborg, Bela Gipp, Helge Giese:
Do You Think It's Biased? How To Ask For The Perception Of Media Bias. JCDL 2021: 61-69 - [c6]Timo Spinde, Kanishka Sinha, Norman Meuschke, Bela Gipp:
TASSY - A Text Annotation Survey System. JCDL 2021: 322-323 - [c5]Timo Spinde, Jan-David Krieger, Manuel Plank, Bela Gipp:
Towards A Reliable Ground-Truth For Biased Language Detection. JCDL 2021: 324-325 - [c4]Felix Hamborg, Timo Spinde, Kim Heinser, Karsten Donnay, Bela Gipp:
How to Effectively Identify and Communicate Person-Targeting Media Bias in Daily News Consumption? (short paper). INRA@RecSys 2021: 19-28 - [i8]Timo Spinde, Felix Hamborg, Karsten Donnay, Angelica Becerra, Bela Gipp:
Enabling News Consumers to View and Understand Biased News Coverage: A Study on the Perception and Visualization of Media Bias. CoRR abs/2105.09640 (2021) - [i7]Timo Spinde, Lada Rudnitckaia, Kanishka Sinha, Felix Hamborg, Bela Gipp, Karsten Donnay:
MBIC - A Media Bias Annotation Dataset Including Annotator Characteristics. CoRR abs/2105.11910 (2021) - [i6]Felix Hamborg, Timo Spinde, Kim Heinser, Karsten Donnay, Bela Gipp:
How to Effectively Identify and Communicate Person-Targeting Media Bias in Daily News Consumption? CoRR abs/2110.09151 (2021) - [i5]Timo Spinde, Lada Rudnitckaia, Felix Hamborg, Bela Gipp:
Identification of Biased Terms in News Articles by Comparison of Outlet-specific Word Embeddings. CoRR abs/2112.07384 (2021) - [i4]Timo Spinde, Kanishka Sinha, Norman Meuschke, Bela Gipp:
TASSY - A Text Annotation Survey System. CoRR abs/2112.07391 (2021) - [i3]Timo Spinde, Christina Kreuter, Wolfgang Gaissmaier, Felix Hamborg, Bela Gipp, Helge Giese:
Do You Think It's Biased? How To Ask For The Perception Of Media Bias. CoRR abs/2112.07392 (2021) - [i2]Timo Spinde, Jan-David Krieger, Manuel Plank, Bela Gipp:
Towards A Reliable Ground-Truth For Biased Language Detection. CoRR abs/2112.07421 (2021) - [i1]Timo Spinde:
An Interdisciplinary Approach for the Automated Detection and Visualization of Media Bias in News Articles. CoRR abs/2112.13352 (2021) - 2020
- [c3]Timo Spinde, Felix Hamborg, Karsten Donnay, Angelica Becerra, Bela Gipp:
Enabling News Consumers to View and Understand Biased News Coverage: A Study on the Perception and Visualization of Media Bias. JCDL 2020: 389-392 - [c2]Timo Spinde, Felix Hamborg, Bela Gipp:
An Integrated Approach to Detect Media Bias in German News Articles. JCDL 2020: 505-506 - [c1]Timo Spinde, Felix Hamborg, Bela Gipp:
Media Bias in German News Articles: A Combined Approach. PKDD/ECML Workshops 2020: 581-590
Coauthor Index
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