Computer Science > Social and Information Networks
arXiv:2406.19571 (cs)
[Submitted on 27 Jun 2024]
Title:Reranking Social Media Feeds: A Practical Guide for Field Experiments
Authors:Tiziano Piccardi,Martin Saveski,Chenyan Jia,Jeffrey Hancock,Jeanne L. Tsai,Michael S. Bernstein
View a PDF of the paper titled Reranking Social Media Feeds: A Practical Guide for Field Experiments, by Tiziano Piccardi and 5 other authors
View PDFHTML (experimental)Abstract:Social media plays a central role in shaping public opinion and behavior, yet performing experiments on these platforms and, in particular, on feed algorithms is becoming increasingly challenging. This article offers practical recommendations to researchers developing and deploying field experiments focused on real-time re-ranking of social media feeds. This article is organized around two contributions. First, we overview an experimental method using web browser extensions that intercepts and re-ranks content in real-time, enabling naturalistic re-ranking field experiments. We then describe feed interventions and measurements that this paradigm enables on participants' actual feeds, without requiring the involvement of social media platforms. Second, we offer concrete technical recommendations for intercepting and re-ranking social media feeds with minimal user-facing delay, and provide an open-source implementation. This document aims to summarize lessons learned, provide concrete implementation details, and foster the ecosystem of independent social media research.
| Subjects: | Social and Information Networks (cs.SI); Computers and Society (cs.CY) |
| Cite as: | arXiv:2406.19571 [cs.SI] |
| (orarXiv:2406.19571v1 [cs.SI] for this version) | |
| https://doi.org/10.48550/arXiv.2406.19571 arXiv-issued DOI via DataCite |
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View a PDF of the paper titled Reranking Social Media Feeds: A Practical Guide for Field Experiments, by Tiziano Piccardi and 5 other authors
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