Evidence map›Paper›PMID 37033471›Full record

ArticleSocial network analysis and mining2023

Pattern of Facebook use by university students during the COVID-19 pandemic: relations with loneliness and resilience.

Thanos Touloupis, Maria Sofologi, Dimitrios Tachmatzidis

Abstract read
In one paragraph

Article in Social network analysis and mining, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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. Article
  2. 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

3 authors.

Thanos TouloupisDepartment of Psychology, University of Western Macedonia, Florina, Greece.ORCID 0000-0003-2951-6919
Maria SofologiDepartment of Psychology, University of Western Macedonia, Florina, Greece.
Dimitrios TachmatzidisDepartment of Psychology, University of Western Macedonia, Florina, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Considering young adults' extensive use of social media since the outbreak of the COVID-19 pandemic, the present study examined the pattern of Facebook use by university students during the period of hygienic crisis. Specifically, it was investigated students' Facebook intensity use and self-disclosure to unknown online friends, as well as the role of sense of resilience and loneliness in the manifestation of the above Facebook behaviors. Overall, 792 undergraduate and postgraduate university students (48% women) completed online self-report questionnaires regarding the above variables. Undergraduate students, regardless of gender and Department of studies, made more intense Facebook use and self-disclosure to unknown online friends. Sense of loneliness positively predicted students' online self-disclosure not only directly but also indirectly through their Facebook intensity use. Students' resilience negatively moderated the relationship between sense of loneliness and Facebook behaviors. The findings propose a new explanatory model of emotional and behavioral mechanisms, which leads to a less safe pattern of Facebook use. This pattern possibly reflects youth's collective tendency to use this social media platform recklessly as a way out of crisis periods, such as the pandemic period. The emergence of this pattern could be useful for launching or enriching university counselling/prevention actions aimed at strengthening students' psycho-emotional skills, and subsequently their prudent use of social media.

Indexed as

Facebook intensity useLonelinessResilienceSelf-disclosureUniversity students

Identifiers

PMID37033471
PMCPMC10073630

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.