From Online Experiments to Big Experimental Data

Balietti, S. (2023). From Online Experiments to Big Experimental Data. In: T. Yasseri (Ed.), Handbook of Computational Social Science. Edward Elgar Publishing Ltd.

38 Pages Posted: 18 Jul 2022

See all articles by Stefano Balietti

Stefano Balietti

University of Mannheim - Mannheim Centre for European Social Research (MZES); Heidelberg University - Alfred Weber Institute for Economics

Date Written: July 1, 2022

Abstract

Always wanted to run an online experiment but did not know where to start? Or are you a seasoned practitioner interested in enriching your arsenal of tricks to solve practical challenges in online experiments? This chapter embarks in the arduous task to please both readers by reviewing history, methodological challenges, and current opportunities for online experimentation. It adopts an accessible language, avoids unnecessary jargon and formalisms, and draws lessons from experiments across all social science disciplines. It explains why it is important to preregister a study and how to solve practical problems related to data quality, attrition, attention, and bots, and it also reviews new methods for running optimized experiments or recruiting from social media. This chapter concludes by discussing how the merging of digital traces and experimental data at scale will shift the focus from Big Data to Big Experimental Data in computational social science (CSS).

Keywords: online experiments, data quality, dropouts, preregistration, recruitment, optimization, computational social science

JEL Classification: C9

Suggested Citation

Balietti, Stefano, From Online Experiments to Big Experimental Data (July 1, 2022). Balietti, S. (2023). From Online Experiments to Big Experimental Data. In: T. Yasseri (Ed.), Handbook of Computational Social Science. Edward Elgar Publishing Ltd., Available at SSRN: https://ssrn.com/abstract=4151679

Stefano Balietti (Contact Author)

University of Mannheim - Mannheim Centre for European Social Research (MZES) ( email )

D-68131 Mannheim
Germany

Heidelberg University - Alfred Weber Institute for Economics ( email )

Grabengasse 14
Heidelberg, D-69117
Germany

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