Evidence map›Paper›PMID 41944504›Full record

ArticleJournal of applied behavior analysis2026

Reducing social media use via contingency management: A replication and extension.

Dilara Olgun, Meghan A Deshais, SungWoo Kahng, Robert H LaRue

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of applied behavior analysis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Dilara OlgunDepartment of Applied Psychology, Graduate School of Applied and Professional Psychology, Rutgers University, Piscataway, NJ, USA.ORCID https://orcid.org/0009-0003-5689-9764
Meghan A DeshaisDepartment of Applied Psychology, Graduate School of Applied and Professional Psychology, Rutgers University, Piscataway, NJ, USA.ORCID https://orcid.org/0000-0003-4462-4440
SungWoo KahngDepartment of Applied Psychology, Graduate School of Applied and Professional Psychology, Rutgers University, Piscataway, NJ, USA.ORCID https://orcid.org/0000-0002-6031-5026
Robert H LaRueDepartment of Applied Psychology, Graduate School of Applied and Professional Psychology, Rutgers University, Piscataway, NJ, USA.ORCID https://orcid.org/0000-0002-3571-1860

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Public health concerns about social media use (SMU) have generated interest in the development of interventions capable of reducing SMU. In this study, we replicated and extended Stinson and Dallery (2023) by evaluating the effects of a contingency management with alternative activity selection intervention on SMU and engagement in alternative activities with four college students. Results from the current study replicate the findings of Stinson and Dallery. Reductions in SMU were observed, but no discernable influence on engagement in alternative activities occurred during the intervention phase. We extended prior work by objectively measuring participant engagement in alternative activities and measuring participant SMU using data collection procedures that potentially improve the accuracy and reliability of SMU measurement. Limitations of the current study and directions for future research are discussed including the maintenance and generality of contingency management interventions for SMU and considerations for large-scale implementation.

Indexed as

Behavior TherapySocial MediaDigital MediaFemaleHumansMaleMedia ExposureReproducibility of ResultsStudentsYoung Adultcontingency managementsmartphone addictionsocial media use

Identifiers

PMID41944504
PMCPMC13055119

What OpenQuestion holds

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LicenceCC BY
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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.