Experiments on Social Media

43 Pages Posted: 6 Aug 2024 Last revised: 18 Jun 2025

See all articles by Guy Aridor

Guy Aridor

Northwestern University - Kellogg School of Management

Rafael Jiménez Durán

Bocconi University - Department of Economics; University of Chicago

Ro’ee Levy

Tel Aviv University

Lena Song

The University of Illinois at Urbana-Champaign

Multiple version iconThere are 2 versions of this paper

Date Written: September 29, 2024

Abstract

We provide a practical guide to designing, conducting, and analyzing experiments using social media platforms. First, we discuss the benefits and challenges of using the targeting capabilities of advertisements on social media to recruit participants for a large class of experiments. Next, we outline the different types of interventions and their advantages and disadvantages. Finally, we summarize available compliance and outcome data, as well as the main limitations and challenges involved in the design and analysis of social media experiments. Throughout, we provide technical details that are helpful when implementing these experiments. Overall, we argue that experiments on social media are powerful not only for studying economic issues around social media and online platforms but also for experiments studying economic behavior more broadly.

Keywords: social media, economics, experiments

Suggested Citation

Aridor, Guy and Jiménez Durán, Rafael and Levy, Ro’ee and Song, Lena, Experiments on Social Media (September 29, 2024). Available at SSRN: https://ssrn.com/abstract=4893781

Guy Aridor

Northwestern University - Kellogg School of Management ( email )

2001 Sheridan Road
Evanston, IL 60208
United States

Rafael Jiménez Durán (Contact Author)

Bocconi University - Department of Economics ( email )

Via Gobbi 5
Milan, 20136
Italy

University of Chicago ( email )

1101 East 58th Street
Chicago, IL 60637
United States

Ro’Ee Levy

Tel Aviv University ( email )

Ramat Aviv
Tel-Aviv, 6997801
Israel

Lena Song

The University of Illinois at Urbana-Champaign ( email )

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