Timo Spinde
YOU?
Author Swipe
View article: Leveraging Large Language Models for Automated Definition Extraction with TaxoMatic - a Case Study on Media Bias
Leveraging Large Language Models for Automated Definition Extraction with TaxoMatic - a Case Study on Media Bias Open
Defining complex, evolving concepts in academic research and extracting clear taxonomies from many publications is challenging. To streamline systematic reviews and capture shifts in conceptual understanding, we present our ongoing work on…
View article: NewsUnfold: Creating a News-Reading Application That Indicates Linguistic Media Bias and Collects Feedback
NewsUnfold: Creating a News-Reading Application That Indicates Linguistic Media Bias and Collects Feedback Open
Media bias is a multifaceted problem, leading to one-sided views and impacting decision-making. A way to address digital media bias is to detect and indicate it automatically through machine-learning methods. However, such detection is lim…
View article: Leveraging Large Language Models for Automated Definition Extraction with TaxoMatic A Case Study on Media Bias
Leveraging Large Language Models for Automated Definition Extraction with TaxoMatic A Case Study on Media Bias Open
This paper introduces TaxoMatic, a framework that leverages large language models to automate definition extraction from academic literature. Focusing on the media bias domain, the framework encompasses data collection, LLM-based relevance…
View article: Through the LLM Looking Glass: A Socratic Probing of Donkeys, Elephants, and Markets
Through the LLM Looking Glass: A Socratic Probing of Donkeys, Elephants, and Markets Open
While detecting and avoiding bias in LLM-generated text is becoming increasingly important, media bias often remains subtle and subjective, making it particularly difficult to identify and mitigate. In this study, we assess media bias in L…
View article: Conclusion and Future Work
Conclusion and Future Work Open
This chapter summarizes and concludes the contribution of this thesis in Sect. 8.1 and Section Sect. 8.2, respectively. Sect. 8.3 provides an overview of future work projects and the ethical implications of working on media bias.
View article: Feature-based Media Bias Detection
Feature-based Media Bias Detection Open
Thus far, we have presented a comprehensive literature review on media bias in Chap. 2, evaluated reliable measures for understanding media bias perception in Chap. 3, and introduced our two new datasets, MBIC and BABE, in Chap. 4. We now …
View article: Questionnaire Development
Questionnaire Development Open
As we laid out in Chap. 2, media bias is a complex concept to identify and analyze. Constructing a coherent framework to cover different bias types has been an important step in setting a basis for future work. However, not only inconsiste…
View article: Neural Media Bias Detection
Neural Media Bias Detection Open
We already introduced existing methodologies to automatically detect media bias in Chapter 2. We also saw one major example of a traditional feature-based classification system in the previous Chapter 5. Now, we dive more into neural class…
View article: Dataset Creation
Dataset Creation Open
At this juncture, we have provided an overview of the media bias domain in Chap. 2, and we have explored how to query the perception of bias in Chap. 3. Nevertheless, we also witnessed the vast array of methods for measuring media bias. Th…
View article: Visualization and Perception of Media Bias
Visualization and Perception of Media Bias Open
As we discuss throughout the thesis, media bias plays a significant role in shaping individual and collective perceptions of news, which can have profound implications on how people form opinions and make decisions based on the information…
View article: Media Bias
Media Bias Open
As portrayed in Chap. 1, media bias is a complex concept to identify and analyze. To construct a coherent framework to cover different bias types and to understand the state of the art in computer science when dealing with the domain of me…
View article: Introduction
Introduction Open
This thesis addresses the issue of automatically identifying media bias, mostly linguistic bias, in news articles. A varying word choice in any news content may have a major effect on the public and individual perception of societal issues…
View article: Enhancing Media Literacy: The Effectiveness of (Human) Annotations and Bias Visualizations on Bias Detection
Enhancing Media Literacy: The Effectiveness of (Human) Annotations and Bias Visualizations on Bias Detection Open
Marking biased texts is a practical approach to increase media bias awareness among news consumers. However, little is known about the generalizability of such awareness to new topics or unmarked news articles, and the role of machine-gene…
View article: The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection
The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Open
High annotation costs from hiring or crowdsourcing complicate the creation of large, high-quality datasets needed for training reliable text classifiers. Recent research suggests using Large Language Models (LLMs) to automate the annotatio…
View article: News Ninja: Gamified Annotation of Linguistic Bias in Online News
News Ninja: Gamified Annotation of Linguistic Bias in Online News Open
Recent research shows that visualizing linguistic bias mitigates its negative effects. However, reliable automatic detection methods to generate such visualizations require costly, knowledge-intensive training data. To facilitate data coll…
View article: MAGPIE: Multi-Task Media-Bias Analysis Generalization for Pre-Trained Identification of Expressions
MAGPIE: Multi-Task Media-Bias Analysis Generalization for Pre-Trained Identification of Expressions Open
Media bias detection poses a complex, multifaceted problem traditionally tackled using single-task models and small in-domain datasets, consequently lacking generalizability. To address this, we introduce MAGPIE, the first large-scale mult…
View article: The Media Bias Taxonomy: A Systematic Literature Review on the Forms and Automated Detection of Media Bias
The Media Bias Taxonomy: A Systematic Literature Review on the Forms and Automated Detection of Media Bias Open
The way the media presents events can significantly affect public perception, which in turn can alter people's beliefs and views. Media bias describes a one-sided or polarizing perspective on a topic. This article summarizes the research o…
View article: Introducing MBIB - The First Media Bias Identification Benchmark Task and Dataset Collection
Introducing MBIB - The First Media Bias Identification Benchmark Task and Dataset Collection Open
Although media bias detection is a complex multi-task problem, there is, to date, no unified benchmark grouping these evaluation tasks. We introduce the Media Bias Identification Benchmark (MBIB), a comprehensive benchmark that groups diff…
View article: Automated identification of bias inducing words in news articles using linguistic and context-oriented features
Automated identification of bias inducing words in news articles using linguistic and context-oriented features Open
Media has a substantial impact on public perception of events, and, accordingly, the way media presents events can potentially alter the beliefs and views of the public. One of the ways in which bias in news articles can be introduced is b…
View article: A Benchmark of PDF Information Extraction Tools Using a Multi-task and Multi-domain Evaluation Framework for Academic Documents
A Benchmark of PDF Information Extraction Tools Using a Multi-task and Multi-domain Evaluation Framework for Academic Documents Open
Extracting information from academic PDF documents is crucial for numerous\nindexing, retrieval, and analysis use cases. Choosing the best tool to extract\nspecific content elements is difficult because many, technically diverse tools\nare…
View article: What do Twitter Comments Tell About News Article Bias? Assessing the Impact of News Article Bias on its Perception on Twitter
What do Twitter Comments Tell About News Article Bias? Assessing the Impact of News Article Bias on its Perception on Twitter Open
This is the repository of "What do Twitter Comments Tell About News Article Bias? Assessing the Impact of News Article Bias on its Perception on Twitter" News stories circulating online, especially on social media platforms, are nowadays a…
View article: What do Twitter Comments Tell About News Article Bias? Assessing the Impact of News Article Bias on its Perception on Twitter
What do Twitter Comments Tell About News Article Bias? Assessing the Impact of News Article Bias on its Perception on Twitter Open
This is the repository of "What do Twitter Comments Tell About News Article Bias? Assessing the Impact of News Article Bias on its Perception on Twitter" News stories circulating online, especially on social media platforms, are nowadays a…
View article: A domain-adaptive pre-training approach for language bias detection in news
A domain-adaptive pre-training approach for language bias detection in news Open
Media bias is a multi-faceted construct influencing individual behavior and collective decision-making. Slanted news reporting is the result of one-sided and polarized writing which can occur in various forms. In this work, we focus on an …
View article: How do we raise media bias awareness effectively? Effects of visualizations to communicate bias
How do we raise media bias awareness effectively? Effects of visualizations to communicate bias Open
Media bias has a substantial impact on individual and collective perception of news. Effective communication that may counteract its potential negative effects still needs to be developed. In this article, we analyze how to facilitate the …
View article: An Interdisciplinary Approach for the Automated Detection and Visualization of Media Bias in News Articles
An Interdisciplinary Approach for the Automated Detection and Visualization of Media Bias in News Articles Open
Media coverage has a substantial effect on the public perception of events. Nevertheless, media outlets are often biased. One way to bias news articles is by altering the word choice. The automatic identification of bias by word choice is …