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Jan Karem Höhne

Prof. Dr. Jan Karem Höhne

Abteilung Infrastruktur und Methoden
Juniorprofessor
Leitung CS3 Lab
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Jan Karem Höhne ist Juniorprofessor an der Leibniz Universität Hannover im Verbund mit dem Deutschen Zentrum für Hochschul- und Wissenschaftsforschung (DZHW) und Leitung des CS3 Labs für Computational Survey and Social Science. Er ist außerdem wissenschaftlicher Mitarbeiter am Research and Expertise Centre for Survey Methodology (RECSM) an der Universität Pompeu Fabra in Barcelona. Seine Forschung ist im Bereich Computational Survey and Social Science verortet. .
https://jkhoehne.eu/
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Projekte

Liste der Projekte

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CS3 Lab für Computational Survey and Social Science
Forschungscluster: Empirische Methoden der Hochschul- und Wissenschaftsforschung
Publikationen

Liste der Publikationen

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Transcribing and coding voice answers obtained in web surveys: Comparing three leading automatic speech recognition tools.

Revilla, M., Ochoa, C., Höhne, J. K., & Couper, M. P. (2026).
Transcribing and coding voice answers obtained in web surveys: Comparing three leading automatic speech recognition tools. Journal of Survey Statistics and Methodology. https://doi.org/10.1093/jssam/smaf028

Identifying bots through LLM-generated text in open narrative responses: A proof-of-concept study.

Claaßen, J., Höhne, J. K., Bach, R., & Haensch, A.-C. (2026).
Identifying bots through LLM-generated text in open narrative responses: A proof-of-concept study. Social Science Computer Review (online first). https://doi.org/10.1177/08944393251408022

LLM-driven bot infiltration: Protecting web surveys through prompt injections.

Höhne, J. K., Claaßen, J., & Wolf, B. L. (2025).
LLM-driven bot infiltration: Protecting web surveys through prompt injections. International Journal of Social Research Methodology (online first). https://doi.org/10.1080/13645579.2025.2598606

Effects of embodied interviewing agents on open narrative responses.

Höhne, J. K., Neuert, C., & Claaßen, J. (2025).
Effects of embodied interviewing agents on open narrative responses. International Journal of Market Research, 68(1), 15-25. https://doi.org/10.1177/14707853251388213

Asking for feedback: Innovating final comment questions in self-administered web surveys.

Claaßen, J., Höhne, J. K., & Kuhlmann, J. (2025).
Asking for feedback: Innovating final comment questions in self-administered web surveys. Journal of Survey Statistics and Methodology (online first). https://doi.org/10.1093/jssam/smaf018

A survey mode of the future? Investigating respondents' willingness to participate in self-administered video-based web surveys.

Claaßen, J., Lenzner, T., Höhne, J. K., & Ziller, C. (2025).
A survey mode of the future? Investigating respondents' willingness to participate in self-administered video-based web surveys. Methods, Data, Analyses (online first). https://doi.org/10.12758/mda.2025.10

Social media ads for survey recruitment: Performance, costs, user engagement.

Höhne, J. K., Claaßen, J., Kühne, S., & Zindel, Z. (2025).
Social media ads for survey recruitment: Performance, costs, user engagement. International Journal of Market Research (online first). https://doi.org/10.1177/14707853251367805

Following political science students through their methods training: Statistics anxiety, student satisfaction, and final grades in the COVID year 2021/22.

Vierus, P., Elis, J., Ziller, C., Goerres, A., & Höhne, J. K. (2025).
Following political science students through their methods training: Statistics anxiety, student satisfaction, and final grades in the COVID year 2021/22. Politische Vierteljahresschrift (online first). https://doi.org/10.1007/s11615-025-00613-x

Explaining item-nonresponse in open questions with requests for voice responses.

Salvatore, C., & Höhne, J. K. (2025).
Explaining item-nonresponse in open questions with requests for voice responses. In A. Pollice & P. Mariani (Hrsg.), Methodological and Applied Statistics and Demography IV (S. 483-489). Cham: Springer. https://doi.org/10.1007/978-3-031-64447-4_82

Bots in web survey interviews: A showcase.

Höhne, J. K., Claaßen, J., Shahania, S., & Broneske, D. (2025).
Bots in web survey interviews: A showcase. International Journal of Market Research, 67(1), 3-12. https://doi.org/10.1177/14707853241297009

Automatic speech-to-text transcription: Evidence from a smartphone survey with voice answers.

Höhne, J. K., Lenzner, T., & Claaßen, J. (2025).
Automatic speech-to-text transcription: Evidence from a smartphone survey with voice answers. International Journal of Social Research Methodology (online first). https://doi.org/10.1080/13645579.2024.2443633

Innovating web probing: Comparing written and oral answers to open-ended probing questions in a smartphone survey.

Lenzner, T., Höhne, J. K., & Gavras, K. (2024).
Innovating web probing: Comparing written and oral answers to open-ended probing questions in a smartphone survey. Journal of Survey Statistics and Methodology (online first). https://doi.org/10.1093/jssam/smae031

Examining the link between the ‘middle means typical’ heuristic and answer behavior.

Stefkovics, Á., & Höhne, J. K. (2024).
Examining the link between the ‘middle means typical’ heuristic and answer behavior. Survey Practice (online first). https://doi.org/10.29115/SP-2024-0009

Typing or speaking? Comparing text and voice answers to open questions on sensitive topics in smartphone surveys.

Höhne, J. K., Gavras, K., & Claaßen, J. (2024).
Typing or speaking? Comparing text and voice answers to open questions on sensitive topics in smartphone surveys. Social Science Computer Review (online first). https://doi.org/10.1177/08944393231160961

Examining final comment questions with requests for written and oral answers.

Höhne, J. K., & Claaßen, J. (2024).
Examining final comment questions with requests for written and oral answers. International Journal of Market Research (online first). https://doi.org/10.1177/14707853241229329
Vorträge & Tagungen

Liste der Vorträge & Tagungen

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From text to voice: Qualitative insights into open narrative final comment questions.

Claaßen, J., Höhne, J. K., & Kuhlmann, J. (2026, März).
From text to voice: Qualitative insights into open narrative final comment questions. Vortrag auf der Tagung Spring conference of the German Sociological Association (DGS) section “Methods of Empirical Social Research”, Bonn, Deutschland.

Identifying bots through LLM-generated text in open narrative questions on LGBTQ+-related topics: A proof-of-concept study.

Höhne, J. K., Claaßen, J., Bach, R., & Haensch, A.-C. (2026, März).
Identifying bots through LLM-generated text in open narrative questions on LGBTQ+-related topics: A proof-of-concept study. Vortrag auf der Tagung Spring conference of the German Sociological Association (DGS) section “Methods of Empirical Social Research”, Bonn, Deutschland.

The (technological) future of student surveys.

Höhne, J. (2026, März).
The (technological) future of student surveys. Keynote im Rahmen des EUROSTUDENT Researchers Forum 2026, Malta.

Survey data contamination through Large Language Models: Predicting LLM-generated answers to open narrative questions.

Höhne, J. K., Claaßen, J., Bach, R., & Haensch, A.-C. (2026, Februar).
Survey data contamination through Large Language Models: Predicting LLM-generated answers to open narrative questions. Vortrag auf der Konferenz Current Innovations in Probability-based Household Internet Panel Research (CIPHER), Washington, D.C., USA.

Web surveys under attack: Novel strategies for detecting LLM-driven bots.

Höhne, J. (2025, Oktober).
Web surveys under attack: Novel strategies for detecting LLM-driven bots. Vortrag im Rahmen eines Gastvortrags, Universidad de Costa Rica, San José, Costa Rica.

LLM-driven bots in web surveys: Predicting robotic language in open narrative answers.

Höhne, J. K., Claaßen, J., Bach, R., & Haensch, A.-C. (2025, August).
LLM-driven bots in web surveys: Predicting robotic language in open narrative answers. Vortrag im Rahmen des Joint Statistical Meetings (JSM), Nashville, USA.

LLM-driven bot infiltration: Protecting web surveys through prompt injections.

Claaßen, J., Höhne, J. K., & Wolf, B. L. (2025, Juli).
LLM-driven bot infiltration: Protecting web surveys through prompt injections. Poster im Rahmen der International Conference on Computational Social Science (IC2S2), Norrköping, Schweden.

Identifying bots in online surveys through robotic language in open narrative answers: A prediction approach.

Claaßen, J., Höhne, J. K., Bach, R., & Haensch, A.-C. (2025, Juli).
Identifying bots in online surveys through robotic language in open narrative answers: A prediction approach. Poster im Rahmen der International Conference on Computational Social Science (IC2S2), Norrköping, Schweden.

LLM-driven bots in web surveys: Predicting robotic language in open narrative answers.

Claaßen, J., Höhne, J. K., Bach, R., & Haensch, A.-C. (2025, Juli).
LLM-driven bots in web surveys: Predicting robotic language in open narrative answers. Vortrag im Rahmen der European Survey Research Association (ESRA) Conference, Utrecht, Niederlande.

Mobile device tracking: Explaining discrepancies between survey self-reports and digitally tracked behavior.

Claaßen, J., Bosch, O., & Höhne, J. K. (2025, Juni).
Mobile device tracking: Explaining discrepancies between survey self-reports and digitally tracked behavior. Vortrag auf dem Workshop Mobile Apps and Sensors in Surveys (MASS), London School of Economics (LSE), London, UK.

Explaining item-nonresponse in open questions with requests for voice responses.

Salvatore, C., & Höhne, J. K. (2025, Juni).
Explaining item-nonresponse in open questions with requests for voice responses. Vortrag auf dem Workshop Mobile Apps and Sensors in Surveys (MASS), London School of Economics (LSE), London, UK.

Comparing LLM-driven bots with answers from a Facebook survey.

Claaßen, J., & Höhne, J. K. (2025, Mai).
Comparing LLM-driven bots with answers from a Facebook survey. Poster auf dem Workshop Computational Social Science: AI and Society – Exploring Inequality in the Digital Age, Universität Mannheim, Mannheim.

Bots in web surveys: Predicting robotic language in open narrative answers.

Claaßen, J., Höhne, J. K., Bach, R., & Haensch, A.-C. (2025, März/April).
Bots in web surveys: Predicting robotic language in open narrative answers. Vortrag im Rahmen der General Online Research (GOR) Conference, Berlin.

Bots in web survey interviews: A showcase.

Höhne, J. K., Claaßen, J., Shahania, S., & Broneske, D. (2025, März/April).
Bots in web survey interviews: A showcase. Vortrag im Rahmen der General Online Research (GOR) Conference, Berlin.

How does smartphone participation in probability-based web surveys differ across Europe?

Höhne, J. K., Claaßen, J., Gummer, T., & Rettig, T. (2025, Februar).
How does smartphone participation in probability-based web surveys differ across Europe? Vortrag im Rahmen der 7th Conference of Current Innovations in Probability-based Household Internet Panel Research (CIPHER), Washington, D.C., USA.