13 citations · 46 across the 10 of their papers we have counts for
10 papers
Formalized Information Needs Improve Large-Language-Model Relevance Judgments
Jüri Keller, Maik Fröbe, Björn Engelmann +4
Cranfield-style retrieval evaluations with too few or too many relevant documents or with low inter-assessor agreement on relevance can reduce the reliability of observations. In e…
Dynamics in Search Engine Query Suggestions for European Politicians
Franziska Pradel, Fabian Haak, Sven-Oliver Proksch +1
Search engines are commonly used for online political information seeking. Yet, it remains unclear how search query suggestions for political searches that reflect the latent inter…
Perception-Aware Bias Detection for Query Suggestions
Fabian Haak, Philipp Schaer
Bias in web search has been in the spotlight of bias detection research for quite a while. At the same time, little attention has been paid to query suggestions in this regard. Awa…
Auditing Search Query Suggestion Bias Through Recursive Algorithm Interrogation
Fabian Haak, Philipp Schaer
Despite their important role in online information search, search query suggestions have not been researched as much as most other aspects of search engines. Although reasons for t…
Pairwise Comparison for Bias Identification and Quantification
Fabian Haak, Philipp Schaer
Linguistic bias in online news and social media is widespread but difficult to measure. Yet, its identification and quantification remain difficult due to subjectivity, context dep…
REANIMATOR: Reanimate Retrieval Test Collections with Extracted and Synthetic Resources
Björn Engelmann, Fabian Haak, Philipp Schaer +3
Retrieval test collections are essential for evaluating information retrieval systems, yet they often lack generalizability across tasks. To overcome this limitation, we introduce…
Investigating Bias in Political Search Query Suggestions by Relative Comparison with LLMs
Fabian Haak, Björn Engelmann, Christin Katharina Kreutz +1
Search query suggestions affect users' interactions with search engines, which then influences the information they encounter. Thus, bias in search query suggestions can lead to ex…
The Media Bias Taxonomy: A Systematic Literature Review on the Forms and Automated Detection of Media Bias
Timo Spinde, Smi Hinterreiter, Fabian Haak +4
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 per…
-- A Dataset on Media Bias in Search Queries and Query Suggestions
Fabian Haak, Philipp Schaer
This publication describes the motivation and generation of , a large dataset of Google and Bing search queries, a scraping tool and dataset for biased news articles, as…
Text Simplification of Scientific Texts for Non-Expert Readers
Björn Engelmann, Fabian Haak, Christin Katharina Kreutz +2
Reading levels are highly individual and can depend on a text's language, a person's cognitive abilities, or knowledge on a topic. Text simplification is the task of rephrasing a t…