Timo Spinde

According to our database, Timo Spinde authored at least 21 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

MAGPIE: Multi-Task Media-Bias Analysis Generalization for Pre-Trained Identification of Expressions.

Tomás Horych, Martin Wessel, Jan Philip Wahle, Terry Ruas, Jerome Waßmuth, André Greiner-Petter, Akiko Aizawa, Bela Gipp, Timo Spinde

CoRR, 2024

2023

What do Twitter comments tell about news article bias? Assessing the impact of news article bias on its perception on Twitter.

Timo Spinde, Elisabeth Richter, Martin Wessel, Juhi Kulshrestha, Karsten Donnay

Online Soc. Networks Media, September, 2023

The Media Bias Taxonomy: A Systematic Literature Review on the Forms and Automated Detection of Media Bias.

Timo Spinde, Smi Hinterreiter, Fabian Haak, Terry Ruas, Helge Giese, Norman Meuschke, Bela Gipp

CoRR, 2023

Introducing MBIB - The First Media Bias Identification Benchmark Task and Dataset Collection.

Martin Wessel, Tomás Horych, Terry Ruas, Akiko Aizawa, Bela Gipp, Timo Spinde

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

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, Jelena Mitrovic, Bela Gipp

Proceedings of the Information for a Better World: Normality, Virtuality, Physicality, Inclusivity, 2023

2022

A domain-adaptive pre-training approach for language bias detection in news.

Jan-David Krieger, Timo Spinde, Terry Ruas, Juhi Kulshrestha, Bela Gipp

Proceedings of the JCDL '22: The ACM/IEEE Joint Conference on Digital Libraries in 2022, Cologne, Germany, June 20, 2022

Exploiting Transformer-Based Multitask Learning for the Detection of Media Bias in News Articles.

Timo Spinde, Jan-David Krieger, Terry Ruas, Jelena Mitrovic, Franz Götz-Hahn, Akiko Aizawa, Bela Gipp

Proceedings of the Information for a Better World: Shaping the Global Future - 17th International Conference, iConference 2022, Virtual Event, February 28, 2022

2021

Automated identification of bias inducing words in news articles using linguistic and context-oriented features.

Timo Spinde, Lada Rudnitckaia, Jelena Mitrovic, Felix Hamborg, Michael Granitzer, Bela Gipp, Karsten Donnay

Inf. Process. Manag., 2021

How to Effectively Identify and Communicate Person-Targeting Media Bias in Daily News Consumption?

Felix Hamborg, Timo Spinde, Kim Heinser, Karsten Donnay, Bela Gipp

CoRR, 2021

MBIC - A Media Bias Annotation Dataset Including Annotator Characteristics.

Timo Spinde, Lada Rudnitckaia, Kanishka Sinha, Felix Hamborg, Bela Gipp, Karsten Donnay

CoRR, 2021

How to Effectively Identify and Communicate Person-Targeting Media Bias in Daily News Consumption? (short paper).

Felix Hamborg, Timo Spinde, Kim Heinser, Karsten Donnay, Bela Gipp

Proceedings of the 9th International Workshop on News Recommendation and Analytics (INRA 2021) co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), 2021

TASSY - A Text Annotation Survey System.

Timo Spinde, Kanishka Sinha, Norman Meuschke, Bela Gipp

Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2021

Towards A Reliable Ground-Truth For Biased Language Detection.

Timo Spinde, Jan-David Krieger, Manuel Plank, Bela Gipp

Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2021

Do You Think It's Biased? How To Ask For The Perception Of Media Bias.

Timo Spinde, Christina Kreuter, Wolfgang Gaissmaier, Felix Hamborg, Bela Gipp, Helge Giese

Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2021

Omission of Information: Identifying Political Slant via an Analysis of Co-occurring Entities.

Jonas Ehrhardt, Timo Spinde, Ali Vardasbi, Felix Hamborg

Proceedings of the Information between Data and Knowledge: Information Science and its Neighbors from Data Science to Digital Humanities, 2021

An Interdisciplinary Approach for the Automated Detection and Visualization of Media Bias in News Articles.

Timo Spinde

Proceedings of the 2021 International Conference on Data Mining, 2021

Identification of Biased Terms in News Articles by Comparison of Outlet-Specific Word Embeddings.

Timo Spinde, Lada Rudnitckaia, Felix Hamborg, Bela Gipp

Proceedings of the Diversity, Divergence, Dialogue, 2021

Neural Media Bias Detection Using Distant Supervision With BABE - Bias Annotations By Experts.

Timo Spinde, Manuel Plank, Jan-David Krieger, Terry Ruas, Bela Gipp, Akiko Aizawa

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

Media Bias in German News Articles: A Combined Approach.

Timo Spinde, Felix Hamborg, Bela Gipp

Proceedings of the ECML PKDD 2020 Workshops, 2020

An Integrated Approach to Detect Media Bias in German News Articles.

Timo Spinde, Felix Hamborg, Bela Gipp

Proceedings of the JCDL '20: Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020, 2020

Enabling News Consumers to View and Understand Biased News Coverage: A Study on the Perception and Visualization of Media Bias.

Timo Spinde, Felix Hamborg, Karsten Donnay, Angelica Becerra, Bela Gipp

Proceedings of the JCDL '20: Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020, 2020