(2025):
Unfamiliar but desired: Citizens’ attitudes toward smart city applications.
AI & Society,
tba,
tba,
1-18.
More
Dr. Ruben L. Bach
Research Fellow (Data and Methods Unit)
University of Mannheim
A5, 6 Building A 245
68159 Mannheim
Phone: +49-621-181-2840A5, 6 Building A 245
68159 Mannheim
E-Mail: ruben.bach@mzes.uni-mannheim.de
Projekte — current
- Soziale Auswirkungen KI-basierter Entscheidungen im Smart City Kontext
- Fairness in automatischen Entscheidungssystemen (FairADM)
- Filterblasen, politische Polarisierung und Alternativmedien
- Politische Identitäten im Zeitalter von alternativen Nachrichten
- Normen und normative Erwartungen in algorithmischen Entscheidungsunterstützungssystemen
Publikation — recent
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(2025): A Simulation Framework for Studying the Social Impacts of Algorithm-Based Refugee Matching. Proceedings of Machine Learning Research : PMLR, 294, 487-491. More
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(2025): Using hidden Markov models to assess and correct for measurement error in digital trace data. Communication Methods and Measures, tba, tba, 1-25. More
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(2025): Estimating Measurement Quality in Digital Trace Data and Surveys Using the MultiTrait MultiMethod Model. Social Science Computer Review, 43, 5, 1013-1029. More
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(2025): Analyzing list-style open-ended questions: combining texts from individual answer boxes improves classification with language models. Journal of Survey Statistics and Methodology, tba, smaf023, 1-12. More
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(2025): To share or not to share – understanding individuals’ willingness to share biomarkers, sensor data, and medical records. Information, Communication & Society, 28, 10, 1799-1817. More
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(2025): Measuring smartphone use: Survey versus digital behavioral data. Social Science Computer Review, 43, 5, 1030-1049. More
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(2024): Book Review: Applied Statistical Learning—With Case Studies in Stata. Journal of the Royal Statistical Society: Series A, Statistics in Society, 187, 3, 854–855. More
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(2024): How does broadband supply affect participation in panel surveys?: Using geospatial broadband data at the district level to analyze mode choice and panel attrition. Quality & Quantity, 58, 6, 5805–5828. More
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(2024): Equipping the Offline Population with Internet Access in an Online Panel. Does It Make a Difference?. Journal of Survey Statistics and Methodology, 12, 1, 80–93. More
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(2024): When Small Decisions Have Big Impact: Fairness Implications of Algorithmic Profiling Schemes. ACM Journal of Responsible Computing, 1, 4, (article no. 24), pp. 1-30. More
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(2024): “The Human Must Remain the Central Focus”: Subjective Fairness Perceptions in Automated Decision-Making. Minds and Machines, 34, (article no. 24) pp. 1-37. More
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(2024): Do You Have Two Minutes to Talk about Your Data? Willingness to Participate and Nonparticipation Bias in Facebook Data Donation. Field Methods, 36, 4, 279-293. More
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(2023): Reactivity in measuring sensitive online behavior. Internet Research, 33, 3, 1031-1052. More
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(2023): The impact of modeling decisions in statistical profiling. Data & Policy, 5, (article-no. e32), pp. 1-19. More
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(2023): Populist alternative news use and its role for elections: Web-tracking and survey evidence from two campaign periods. New Media & Society, 25, 10, 2663–2683. More
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(2022): Motivated Misreporting in Smartphone Surveys. Social Science Computer Review, 40, 1, 95-107. More
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(2022): Social impacts of algorithmic decision-making: A research agenda for the social sciences. Big Data & Society, 1-13 (e-only). More
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(2022): From fair predictions to just decisions? Conceptualizing algorithmic fairness and distributive justice in the context of data-driven decision-making. Frontiers in Sociology , 7, (article no. 883999), pp. 1-18. More
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(2022): A preregistered vignette experiment on determinants of health data sharing behavior: Willingness to donate sensor data, medical records, and biomarkers. Politics and the Life Sciences, 41, 2, 161–181. More
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(2022): Humans versus machines: Who is perceived to decide fairer? Experimental evidence on attitudes toward automated decision-making. Patterns, 3, 10, (article no. 100591) e-only. More
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(2022): Understanding political news media consumption with digital trace data and natural language processing. Journal of the Royal Statistical Society: Series A, Statistics in Society, 185, S2, S246-S269. More
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(2021): Predicting voting behavior using digital trace data. Social Science Computer Review, 39, 5, 862–883. More
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(2021): New Data Sources in Social Science Research: Things to Know Before Working With Reddit Data. Social Science Computer Review, 39, 4, 943-960. More
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(2021): Individual Acceptance of Using Health Data for Private and Public Benefit: Changes During the COVID-19 Pandemic. Harvard Data Science Review, Special issue "COVID-19: Unprecedented Challenges and Chances", 1, 1-24 (e-only). More
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(2020): Acceptability of App-Based Contact Tracing for COVID-19: Cross-Country Survey Study. JMIR MHealth and UHealth, 8, 8, (article no. e19857). More
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(2020): Rotation Group Bias in Reporting of Household Purchases in the U.S. Consumer Expenditure Survey. Economics Letters, 187, February 2020, (article no. 108889). More
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(2020): Misreporting Among Reluctant Respondents. Journal of Survey Statistics and Methodology, 8, 3, 566–588. More
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(2020): Studying health-related internet and mobile device use using web logs and smartphone records. PLOS ONE, 15, 6, (article no. e0234663). More
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(2025): Measuring the Effect Heterogeneity of a Seven-Day Instagram Abstinence on Users’ Body Image by Combining Survey and Donated Data. [11th Conference of the European Survey Research Association (ESRA), Utrecht, 14/07/2025 - 18/07/2025]. More
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(2025): Measuring the accuracy of self-reported Instagram behavior – A data donation approach. [27. General Online Research Conference (GOR), Berlin, 31/03/2025 - 02/04/2025]. More
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(2025): Measuring the effect heterogeneity of seven-day Instagram abstinence on users’ body image by combining survey and donated data. [Novel Data Sources, New Methods and Computational Approaches for Understanding Discrimination and Bias, Mannheim, 19/02/2025 - 21/02/2025]. More
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(2025): Measuring the accuracy of self-reported Instagram privacy behavior – a data donation approach. [11th Conference of the European Survey Research Association (ESRA), Utrecht, 14/07/2025 - 18/07/2025]. More
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(2025): Measuring Populism From Party Manifestos With Multilingual Context-Sensitive BERT. [Annual Congress of the Swiss Political Science Association (SVPW), Geneva, 08/01/2025 - 09/01/2025]. More
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(2024): Research Avenues for Studying Effects of Algorithmic Decision-Making Systems on Social Inequality. [Digital Inequalities Symposium for Early-Career Researchers, Paris, 19/12/2024 - 19/12/2024]. More
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(2024): Measuring Privacy Behavior with Donated Data. [Data Donation Symposium 2024, Amsterdam, 30/05/2024 - 31/05/2024]. More
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(2023): Assessing the quality of digital behavioral data for measuring smartphone use. [4th MASS Workshop, Manchester, UK, 22/06/2023 - 22/06/2023]. More
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(2023): Humans vs. Machines: Who is Perceived to Decide Fairer? An Experiment about Citizens’ Attitudes. [The 2nd International Conference on Hybrid Human-Artificial Intelligence, Munich, 26/06/2023 - 30/06/2023]. More
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(2023): Collect Information about Facebook Usage via Data Donation: Willingness, Participation, and Bias. [Data Donation Symposium, Zurich, 11/09/2023 - 12/09/2023]. More
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(2023): Using survey experiments and agent-based modeling to simulate mobility behavior in smart cities. [10th Conference of the European Survey Research Association, Milan, 17/07/2023 - 21/07/2023]. More
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(2023): Do You Have Two Minutes to Talk about Your Data? Using Data Donation to Collect Facebook Data. [AAPOR 78th Annual Conference, Philadelphia, PA, 10/05/2023 - 12/05/2023]. More
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(2023): Estimating measurement quality in digital trace data and surveys using the MultiTrait MultiMethod model. [10th Conference of the European Survey Research Association, Milan, 17/07/2023 - 21/07/2023]. More
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(2023): To share or not to share – Using open-ended survey questions to understand data sharing decisions. [10th Conference of the European Survey Research Association, Milan, 17/07/2023 - 21/07/2023]. More
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(2023): Measuring Facebook Use: The Accuracy of Self-Reported Data vs. Digital Trace Data. [General Online Research 2023, Kassel, 20/09/2023 - 22/09/2023]. More
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(2022): Measuring Facebook use: The accuracy of self-reported data versus digital trace data. [Joint Statistical Meetings 2022, Washington, DC, 06/08/2023 - 11/08/2023]. More
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(2022): In which situations are people likely to share their health data? A vignette experiment on willingness to donate three different types of health data. [Frühjahrstagung der Sektion Methoden der empirischen Sozialforschung der Deutschen Gesellschaft für Soziologie (DGS), (virtual conference), 25/03/2022 - 26/03/2022]. More
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(2021): Privacy Attitudes in Times of Crisis: Acceptance of Data Sharing for Public Health. [AAPOR 76th Annual Conference, (virtual conference), 11/05/2021 - 14/05/2021]. More
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(2021): A vignette experiment on determinants of health data sharing behavior: Willingness to donate sensor data, medical records, and biomarkers. [Science and Politics: Changing Attitudes and Emerging Methodologies, (virtual workshop), 05/11/2021 - 07/11/2021]. More
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(2021): Pandemic Effects on Privacy Attitudes: Changes in Acceptance of Using Health Data for Private and Public Benefit. [3rd Annual Symposium on Applications of Contextual Integrity, (virtual conference), 30/09/2021 - 01/10/2021]. More
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(2021): Privacy Attitudes in Times of Crisis: Acceptance of Data Sharing for Public Health?. [Joint Statistical Meetings (JSM), (virtual conference), 08/08/2021 - 12/08/2021]. More
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(2020): Exploring Impacts of Artificial Intelligence on Urban Societies with Social Simulations. [40. Kongress der Deutschen Gesellschaft für Soziologie, (virtual conference), 14/09/2020 - 24/09/2020]. More
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(2020): Social desirability in digital trace data collection. [BigSurv20, (virtual conference), 06/11/2020 - 04/12/2020]. More
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(2019): Social desirability in passive mobile data collection. [8th Conference of the European Survey Research Association, Zagreb, 15/07/2019 - 19/07/2019]. More
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(2025): Unintended impacts of automation for integration? Simulating integration outcomes of algorithm-based refugee allocation in Germany. Proceedings of the Eighth AAAI/ACM Conference on AI, Ethics, and Society (AIES-25), 2, 2, 1375-1387. Washington, DC, Association for the Advancement of ArtificialIntelligence. More
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(2021): Distributive Justice and Fairness Metrics in Automated Decision-making: How Much Overlap Is There?. 22. Ithaca, NY, Cornell University. More
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(2021): Fairness in Algorithmic Profiling: A German Case Study. 33. Ithaca, NY, Cornell University. More