Evidence map›Paper›PMID 39478029›Full record

ArticleScientific reports2024

Public attitudes towards social media field experiments.

Vincent J Straub, Jason W Burton, Michael Geers, Philipp Lorenz-Spreen

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. We need transparency standards for social media research that involves companies.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Vincent J StraubLeverhulme Centre for Demographic Science, Nuffield Department of Population Health, University of Oxford, Oxford, UK. vincent.straub@ndph.ox.ac.uk.
Jason W BurtonDepartment of Digitalization, Copenhagen Business School, Frederiksberg, Denmark.
Michael GeersCenter for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany.
Philipp Lorenz-SpreenCenter for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growing use of social media field experiments demands a rethink of current research ethics in computational social science and psychological research. Here, we provide an exploratory empirical account of key user concerns and outline a number of critical discussions that need to take place to protect participants and help researchers to make use of the novel opportunities of digital data collection and field studies. Our primary contention is that we need to elicit public perceptions to devise more up-to-date guidelines for review boards whilst also allowing and encouraging researchers to arrive at more ethical individual study design choices themselves. To ground our discussion in real-world examples of online experiments, we focus on recent social media studies in the field of misinformation, polarization, and hate speech research. We conclude by discussing how we can better strike a balance between meeting ethical guidelines and the concerns of social media users alongside maximizing scientific impact and credibility.

Indexed as

Public OpinionSocial MediaAttitudeCommunicationEthics, ResearchHumansEthicsField experimentsPublic attitudesSocial mediaSurvey

Identifiers

PMID39478029
PMCPMC11525638

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.