most citedAuditing Search Query Suggestion Bias Through Recursive Algorithm Interrogation

13 citations · 23 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IR20263 cited

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…

cs.IR20267 cited

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…

cs.IR202613 cited

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…

cs.IR2025

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…

cs.IR2025

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…