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Joshua Claaßen

Joshua Claaßen

Abteilung Infrastruktur und Methoden
wissenschaftlicher Mitarbeiter
  • 0511 450670-407
Joshua Claassen ist seit Juli 2023 wissenschaftlicher Mitarbeiter in der Abteilung Infrastruktur und Methoden am Deutschen Zentrum für Hochschul- und Wissenschaftsforschung (DZHW). Zudem ist er Mitglied im CS3 Lab für Computational Survey and Social Science und Promotionsstudent an der Leibniz Universität Hannover. Seine Forschung beschäftigt sich mit der Erschließung digitaler Verhaltensdaten für die sozialwissenschaftliche Forschung und die Weiterentwicklung von Online-Umfragen durch innovative Antwortformate und den Einsatz Künstlicher Intelligenz.
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Projekte

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CS3 Lab für Computational Survey and Social Science
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Publikationen

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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

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

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
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Vorträge & Tagungen

Liste der Vorträge & Tagungen

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Augmenting web surveys with digital traces.

Claaßen, J. (2025, November).
Augmenting web surveys with digital traces. Vortrag im Department of Methodology and Statistics, Utrecht University, Utrecht, Niederlande.

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.

Measuring health-related parental digital behavior: A proof-of-concept study using web tracking data.

Claaßen, J., & Revilla, M. (2025, Juli).
Measuring health-related parental digital behavior: A proof-of-concept study using web tracking data. Vortrag im Rahmen der European Survey Research Association (ESRA) Conference, Utrecht, Niederlande.

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.

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

Claaßen, J. (2025, Juli).
Web surveys under attack: Novel strategies for detecting LLM-driven bots. Vortrag im Rahmen des CS3 Meeting for Computational Survey and Social Science.

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.

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.

Synthesizing LGBTQ-related attitudes: Comparing LLM-driven bots and survey respondents.

Claaßen, J., & Höhne, J. K. (2025, Februar).
Synthesizing LGBTQ-related attitudes: Comparing LLM-driven bots and survey respondents. Poster auf dem Workshop Novel Data Sources, New Methods, and Computational Approaches for Understanding Discrimination and Bias, MZES, Mannheim.

Bots in web survey interviews: A showcase.

Höhne, J. K., Claaßen, J., Shahania, S., & Broneske, D. (2024, November).
Bots in web survey interviews: A showcase. Vortrag im Rahmen der GESIS Seminar Series, Mannheim.

Inferring pregnancy and parenthood from website visit, search term, and app use data.

Claaßen, J. (2024, September).
Inferring pregnancy and parenthood from website visit, search term, and app use data. Vortrag im Department of Methodology and Statistics, Utrecht University, Utrecht, The Netherlands.
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In Zusammenarbeit

Jan Karem Höhne

Prof. Dr. Jan Karem Höhne

Saijal Shahania

Saijal Shahania

David Broneske

Dr. David Broneske

Hayastan Avetisyan

Hayastan Avetisyan