Evidence map›Paper›PMID 38503817›Full record

ArticleScientific reports2024

Variation in social media sensitivity across people and contexts.

Sumer S Vaid, Lara Kroencke, Mahnaz Roshanaei, Sanaz Talaifar, Jeffrey T Hancock, Mitja D Back, Samuel D Gosling, Nilam Ram, Gabriella M Harari

Abstract 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. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Social media component effects: a commentary on Maheux et al. (2024).Journal of child psychology and psychiatry, and allied disciplines · 2025
    Article
  6. Article
  7. Ten Myths About the Effect of Social Media Use on Well-Being.Journal of medical Internet research · 2024
    Review
  8. 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

9 authors.

Sumer S VaidDepartment of Communication, Stanford University, 450 Jane Stanford Way, Stanford, CA, 94305, USA. svaid@hbs.edu.
Lara KroenckeUniversity of Münster, Münster, Germany.
Mahnaz RoshanaeiDepartment of Communication, Stanford University, 450 Jane Stanford Way, Stanford, CA, 94305, USA.
Sanaz TalaifarImperial College London, London, UK.
Jeffrey T HancockDepartment of Communication, Stanford University, 450 Jane Stanford Way, Stanford, CA, 94305, USA.
Mitja D BackUniversity of Münster, Münster, Germany.
Samuel D GoslingUniversity of Texas at Austin, Austin, USA.
Nilam RamDepartment of Communication, Stanford University, 450 Jane Stanford Way, Stanford, CA, 94305, USA.
Gabriella M HarariDepartment of Communication, Stanford University, 450 Jane Stanford Way, Stanford, CA, 94305, USA.

Funding

Deutsche Forschungsgemeinschaft BA 21 3731/11-1
6 · The paper itself

Abstract

Social media impacts people's wellbeing in different ways, but relatively little is known about why this is the case. Here we introduce the construct of "social media sensitivity" to understand how social media and wellbeing associations differ across people and the contexts in which these platforms are used. In a month-long large-scale intensive longitudinal study (total n = 1632; total number of observations = 120,599), we examined for whom and under which circumstances social media was associated with positive and negative changes in social and affective wellbeing. Applying a combination of frequentist and Bayesian multilevel models, we found a small negative average association between social media use AND subsequent wellbeing, but the associations were heterogenous across people. People with psychologically vulnerable dispositions (e.g., those who were depressed, lonely, not satisfied with life) tended to experience heightened negative social media sensitivity in comparison to people who were not psychologically vulnerable. People also experienced heightened negative social media sensitivity when in certain types of places (e.g., in social places, in nature) and while around certain types of people (e.g., around family members, close ties), as compared to using social media in other contexts. Our results suggest that an understanding of the effects of social media on wellbeing should account for the psychological dispositions of social media users, and the physical and social contexts surrounding their use. We discuss theoretical and practical implications of social media sensitivity for scholars, policymakers, and those in the technology industry.

Indexed as

Social MediaBayes TheoremHumansLongitudinal StudiesPersonalitySocial EnvironmentPersonalityPhysical contextSocial contextSocial mediaWellbeing

Identifiers

PMID38503817
PMCPMC10951328

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.