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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

Liste der Projekte

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CS3 Lab für Computational Survey and Social Science
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Publikationen

Liste der Publikationen

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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

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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How does smartphone participation in online surveys differ across 12 European countries?

Claaßen, J., Gummer, T., Rettig, T., & Höhne, J. K. (2026, Juni).
How does smartphone participation in online surveys differ across 12 European countries? Vortrag im Rahmen der 16th Scientific Conference on Data Collections Methods hosted by the ADM, the ASI and the Federal Statistical Office.

Online 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, Juni).
Online survey data contamination through Large Language Models: Predicting LLM-generated answers to open narrative questions. Vortrag im Rahmen der 16th Scientific Conference on Data Collections Methods hosted by the ADM, the ASI and the Federal Statistical Office.

Providing extra incentives for open voice answers in web surveys.

Höhne, J. K., Revilla, M., Couper, M. P., & Claaßen, J. (2026, Juni).
Providing extra incentives for open voice answers in web surveys. Vortrag im Rahmen des 7th Mobile Apps and Sensors in Survey (MASS) Workshop, Barcelona, Spanien.

Online data contamination through LLMs: Identifying LLM-based answers in surveys, experiments, and crowdsourcing tasks.

Claaßen, J., Höhne, J. K., Bach, R., & Haensch, A.-C. (2026, Mai).
Online data contamination through LLMs: Identifying LLM-based answers in surveys, experiments, and crowdsourcing tasks. Poster im Rahmen der Konferenz Computational Social Science: Democracy at Risk? Societal Challenges, Data, and Research Infrastructures in the Age of CSS, Wien, Österreich.

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.

Going beyond survey self-reports: Processing, enriching, and analyzing digital traces.

Claaßen, J., Boeschoten, L., Nguyen, D., Struminskaya, B., & van Es, K. (2026, Februar).
Going beyond survey self-reports: Processing, enriching, and analyzing digital traces. Vortrag auf der Konferenz Current Innovations in Probability-Based Household Internet Panel Research (CIPHER), Washington, D.C., USA.

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.

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.
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In Zusammenarbeit

Jan Karem Höhne

Prof. Dr. Jan Karem Höhne

David Broneske

Dr. David Broneske

Saijal Shahania

Saijal Shahania