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Amaya, Ashley, Ruben L. Bach, Frauke Kreuter and Florian Keusch (2021): Measuring the Strength of Attitudes in Social Media Data. Pp. 163-192 in: Craig Hil, Paul P. Biemer, Trent Buskirk, Lilli Japec, Antje Kirchner, Stas Kolenikov, Lars E. Lyberg (Eds.) Big Data Meets Survey Science: A Collection of Innovative Methods. Hoboken, NJ: Wiley. more
Balietti, Stefano, and Christoph Riedl (2021): Incentives, Competition, and Inequali 104212ty in Markets for Creative Production. Research Policy, 50, issue 4, (article no. 104212). more
Bender, Stefan, Ron S. Jarmin, Frauke Kreuter and Julia Lane (2021): Privacy and Confidentiality. Pp. 313-332 in: Ian Foster, Rayid Ghani, Ron S. Jarmin, Frauke Kreuter, Julia Lane (Eds.) Big Data and Social Science: Data Science Methods and Tools for Research and Practice. 2nd edition, New York: CRC Press. more
Braun, Daniela, Sebastian Adrian Popa and Hermann Schmitt (2021): The impact of Eurosceptic challenger parties of the left and the right on party competition over Europe. Pp. 45-73 in: Maurizio Cotta, Pierangelo Isernia (Eds.) The EU Through Multiple Crises. Representation and Cohesion Dilemmas For A "Sui Generis" Polity.. 1st ed., London: Routledge. more
Cohen, Denis, Marcel Neunhoeffer and Oliver Rittmann (2021): Teaching Quantitative Social Science in Times of COVID-19: How to Generate and Distribute Individualized Exams with R and RMarkdown, Methods Bites - Blog of the MZES Social Science Data Lab, https://www.mzes.uni-mannheim.de/socialsciencedatalab/article/indiv-quant-exams/ more
Debus, Marc (2021): Person, Partei, Programm-was die Wahl entscheidet. [POLITISCH BILDET – Landtagswahl 2021 spezial , Podcast der Landeszentrale für politische Bildung, February 04th, 2021] more
Dollmann, Jörg, Irena Kogan and Markus Weißmann (2021): Causes and (social) consequences of foreign accents. [Higher seminar in bilingualism research at Stockholm University, (virtual), February 09th, 2021] more
Gerdon, Frederic, Helen Nissenbaum, Ruben L. Bach, Frauke Kreuter and Stefan Zins (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", issue 1. more
Haas, Georg-Christoph, Frauke Kreuter, Florian Keusch, Mark Trappmann and Sebastian Bähr (2021): Effects of Incentives in Smartphone Data Collection. Pp. 389-414 in: Craig Hill, Paul P. Biemer, Trent Buskirk, Lilli Japec, Antje Kirchner, Stas Kolenikov, Lars E. Lyberg (Eds.) Big Data Meets Survey Science: A Collection of Innovative Methods. Hoboken, NJ: Wiley. more
Hammerschmidt, Dennis, and Cosima Meyer (2021): Money Makes the World Go Frowned. Analyzing the Impact of Chinese Foreign Aid on States’ Sentiment Using Natural Language Processing. Pp. 241-263 in: Johannes Klenk, Franziska Waschek (Eds.) Chinas Rolle in einer neuen Weltordnung. Wissenschaft, Handel und internationale Beziehungen. Baden-Baden: Tectum. more

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