The Media Bias Taxonomy: A Systematic Literature Review on the Forms and Automated Detection of Media Bias
Fuente:
arXiv
Saved in:
| Main Authors: | Spinde, Timo, Hinterreiter, Smi, Haak, Fabian, Ruas, Terry, Giese, Helge, Meuschke, Norman, Gipp, Bela |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Leveraging Large Language Models for Automated Definition Extraction with TaxoMatic A Case Study on Media Bias
by: Spinde, Timo, et al.
Published: (2025)
by: Spinde, Timo, et al.
Published: (2025)
The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection
by: Horych, Tomas, et al.
Published: (2024)
by: Horych, Tomas, et al.
Published: (2024)
Automated Detection of Media Bias
by: Spinde, Timo
Published: (2025)
by: Spinde, Timo
Published: (2025)
MAGPIE: Multi-Task Media-Bias Analysis Generalization for Pre-Trained Identification of Expressions
by: Horych, Tomáš, et al.
Published: (2024)
by: Horych, Tomáš, et al.
Published: (2024)
NewsUnfold: Creating a News-Reading Application That Indicates Linguistic Media Bias and Collects Feedback
by: Hinterreiter, Smi, et al.
Published: (2024)
by: Hinterreiter, Smi, et al.
Published: (2024)
Enhancing Media Literacy: The Effectiveness of (Human) Annotations and Bias Visualizations on Bias Detection
by: Spinde, Timo, et al.
Published: (2024)
by: Spinde, Timo, et al.
Published: (2024)
News Ninja: Gamified Annotation of Linguistic Bias in Online News
by: Hinterreiter, Smi, et al.
Published: (2024)
by: Hinterreiter, Smi, et al.
Published: (2024)
Testing the Generalization of Neural Language Models for COVID-19 Misinformation Detection
by: Wahle, Jan Philip, et al.
Published: (2021)
by: Wahle, Jan Philip, et al.
Published: (2021)
CADS: A Systematic Literature Review on the Challenges of Abstractive Dialogue Summarization
by: Kirstein, Frederic, et al.
Published: (2024)
by: Kirstein, Frederic, et al.
Published: (2024)
Text Generation: A Systematic Literature Review of Tasks, Evaluation, and Challenges
by: Becker, Jonas, et al.
Published: (2024)
by: Becker, Jonas, et al.
Published: (2024)
What's in the News? Towards Identification of Bias by Commission, Omission, and Source Selection (COSS)
by: Zhukova, Anastasia, et al.
Published: (2025)
by: Zhukova, Anastasia, et al.
Published: (2025)
Paraphrase Types for Generation and Detection
by: Wahle, Jan Philip, et al.
Published: (2023)
by: Wahle, Jan Philip, et al.
Published: (2023)
Citation Amnesia: On The Recency Bias of NLP and Other Academic Fields
by: Wahle, Jan Philip, et al.
Published: (2024)
by: Wahle, Jan Philip, et al.
Published: (2024)
Big Tech-Funded AI Papers Have Higher Citation Impact, Greater Insularity, and Larger Recency Bias
by: Gnewuch, Max Martin, et al.
Published: (2025)
by: Gnewuch, Max Martin, et al.
Published: (2025)
Is my Meeting Summary Good? Estimating Quality with a Multi-LLM Evaluator
by: Kirstein, Frederic, et al.
Published: (2024)
by: Kirstein, Frederic, et al.
Published: (2024)
What's Wrong? Refining Meeting Summaries with LLM Feedback
by: Kirstein, Frederic, et al.
Published: (2024)
by: Kirstein, Frederic, et al.
Published: (2024)
Piecing Together Cross-Document Coreference Resolution Datasets: Systematic Dataset Analysis and Unification
by: Zhukova, Anastasia, et al.
Published: (2026)
by: Zhukova, Anastasia, et al.
Published: (2026)
Diverse Word Choices, Same Reference: Annotating Lexically-Rich Cross-Document Coreference
by: Zhukova, Anastasia, et al.
Published: (2026)
by: Zhukova, Anastasia, et al.
Published: (2026)
CiteAssist: A System for Automated Preprint Citation and BibTeX Generation
by: Kaesberg, Lars Benedikt, et al.
Published: (2024)
by: Kaesberg, Lars Benedikt, et al.
Published: (2024)
Tell me what I need to know: Exploring LLM-based (Personalized) Abstractive Multi-Source Meeting Summarization
by: Kirstein, Frederic, et al.
Published: (2024)
by: Kirstein, Frederic, et al.
Published: (2024)
Re-FRAME the Meeting Summarization SCOPE: Fact-Based Summarization and Personalization via Questions
by: Kirstein, Frederic, et al.
Published: (2025)
by: Kirstein, Frederic, et al.
Published: (2025)
Who Watches the Watchmen? Humans Disagree With Translation Metrics on Unseen Domains
by: Schmidt, Finn, et al.
Published: (2026)
by: Schmidt, Finn, et al.
Published: (2026)
Paraphrase Types Elicit Prompt Engineering Capabilities
by: Wahle, Jan Philip, et al.
Published: (2024)
by: Wahle, Jan Philip, et al.
Published: (2024)
What's under the hood: Investigating Automatic Metrics on Meeting Summarization
by: Kirstein, Frederic, et al.
Published: (2024)
by: Kirstein, Frederic, et al.
Published: (2024)
How Large Language Models are Transforming Machine-Paraphrased Plagiarism
by: Wahle, Jan Philip, et al.
Published: (2022)
by: Wahle, Jan Philip, et al.
Published: (2022)
Towards Human Understanding of Paraphrase Types in Large Language Models
by: Meier, Dominik, et al.
Published: (2024)
by: Meier, Dominik, et al.
Published: (2024)
D3: A Massive Dataset of Scholarly Metadata for Analyzing the State of Computer Science Research
by: Wahle, Jan Philip, et al.
Published: (2022)
by: Wahle, Jan Philip, et al.
Published: (2022)
SPaRC: A Spatial Pathfinding Reasoning Challenge
by: Kaesberg, Lars Benedikt, et al.
Published: (2025)
by: Kaesberg, Lars Benedikt, et al.
Published: (2025)
You need to MIMIC to get FAME: Solving Meeting Transcript Scarcity with a Multi-Agent Conversations
by: Kirstein, Frederic, et al.
Published: (2025)
by: Kirstein, Frederic, et al.
Published: (2025)
TrojanStego: Your Language Model Can Secretly Be A Steganographic Privacy Leaking Agent
by: Meier, Dominik, et al.
Published: (2025)
by: Meier, Dominik, et al.
Published: (2025)
We are Who We Cite: Bridges of Influence Between Natural Language Processing and Other Academic Fields
by: Wahle, Jan Philip, et al.
Published: (2023)
by: Wahle, Jan Philip, et al.
Published: (2023)
Voting or Consensus? Decision-Making in Multi-Agent Debate
by: Kaesberg, Lars Benedikt, et al.
Published: (2025)
by: Kaesberg, Lars Benedikt, et al.
Published: (2025)
Overview of the Plagiarism Detection Task at PAN 2025
by: Greiner-Petter, André, et al.
Published: (2025)
by: Greiner-Petter, André, et al.
Published: (2025)
SciDef: Automating Definition Extraction from Academic Literature with Large Language Models
by: Kučera, Filip, et al.
Published: (2026)
by: Kučera, Filip, et al.
Published: (2026)
Mind the Gap Between Spatial Reasoning and Acting! Step-by-Step Evaluation of Agents With Spatial-Gym
by: Kaesberg, Lars Benedikt, et al.
Published: (2026)
by: Kaesberg, Lars Benedikt, et al.
Published: (2026)
Improved Models for Media Bias Detection and Subcategorization
by: Menzner, Tim, et al.
Published: (2024)
by: Menzner, Tim, et al.
Published: (2024)
Automated Collection of Evaluation Dataset for Semantic Search in Low-Resource Domain Language
by: Zhukova, Anastasia, et al.
Published: (2024)
by: Zhukova, Anastasia, et al.
Published: (2024)
Stay Focused: Problem Drift in Multi-Agent Debate
by: Becker, Jonas, et al.
Published: (2025)
by: Becker, Jonas, et al.
Published: (2025)
Perception-Aware Bias Detection for Query Suggestions
by: Haak, Fabian, et al.
Published: (2026)
by: Haak, Fabian, et al.
Published: (2026)
MALLM: Multi-Agent Large Language Models Framework
by: Becker, Jonas, et al.
Published: (2025)
by: Becker, Jonas, et al.
Published: (2025)
Similar Items
-
Leveraging Large Language Models for Automated Definition Extraction with TaxoMatic A Case Study on Media Bias
by: Spinde, Timo, et al.
Published: (2025) -
The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection
by: Horych, Tomas, et al.
Published: (2024) -
Automated Detection of Media Bias
by: Spinde, Timo
Published: (2025) -
MAGPIE: Multi-Task Media-Bias Analysis Generalization for Pre-Trained Identification of Expressions
by: Horych, Tomáš, et al.
Published: (2024) -
NewsUnfold: Creating a News-Reading Application That Indicates Linguistic Media Bias and Collects Feedback
by: Hinterreiter, Smi, et al.
Published: (2024)