Helena Häußler
Research Assistant
Helena Häußler, M.A., is a research assistant at the Department of Information at the Hamburg University of Applied Sciences. She is working on her doctoral research project „Trust in Search Engines“ (working title). Further research interests include information and data ethics and information literacy. She holds a M.A. degree in Information Science from Humboldt University Berlin and a B.A. degree in Library Management from University of Applied Sciences Potsdam. During her master programme, Helena spent an Erasmus semester at the School of Information at University of Copenhagen.
Publications
Articles in refereed journals
Häußler, H. (2021): The Underlying Values of Data Ethics Frameworks: A Critical Analysis of Discourses and Power Structures. LIBRI, 71, (4), S. 307-319. https://doi.org/10.1515/libri-2021-0095
Häußler, H. (2021): Data Ethics Frameworks: Werte und Machtstrukturen im Spannungsfeld von Technologie und moralischem Handeln. Information - Wissenschaft & Praxis, 72, (5-6), S. 291-298. https://doi.org/10.1515/iwp-2021-2178
Lewandowski, D.; Sünkler, S.; Schultheiß, S.; Häußler, H.; Spree, U.; Behnert, C. (2021): The Search Studies Group at Hamburg University of Applied Sciences. Datenbank Spektrum. https://doi.org/10.1007/s13222-021-00375-x
Articles in proceedings
Häußler, H. (2023).
Do users trust search engines? And if so, why?: Developing a trust measure and applying it in an experiment. In: ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR ’23), March 19–23, 2023, Austin, TX, USA. ACM, New York, NY, USA, 4 pages. https://doi.org/10.1145/3576840.3578280
Yagci, N.; Sünkler, S.; Häußler, H.; Lewandowski, D. (2022).
A Comparison of Source Distribution and Result Overlap in Web Search Engines. Proceedings of the Association for Information Science and Technology, 59(1): 346-357. https://doi.org/10.1002/pra2.758
Schultheiß, S.; Häußler, H.; Lewandowski, D. (2022). Does Search Engine Optimization come along with high-quality content?: A comparison between optimized and non-optimized health-related web pages. CHIIR '22: ACM SIGIR Conference on Human Information Interaction and Retrieval, 123–134. https://doi.org/10.1145/3498366.3505811 YouTube