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Record W4411762179 · doi:10.63332/joph.v5i7.2750

Doomscrolling and Digital Brain Rot: The Psychological Impact of Short-Form Media on Egyptian Youth

2025· article· en· W4411762179 on OpenAlexaboutno aff
Marina Z. Nakhla

Bibliographic record

VenueJournal of Posthumanism · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicImpact of Technology on Adolescents
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyDigital mediaDevelopmental psychologyComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

The study aimed to investigate the psychological impact of short-form media on Egyptian Youth. In addition, the study seeks the relationship between doomscrolling and development of digital brain rot, it also aimed to study to investigate the relationship between Doomscrolling and Digital Brain Rot, the researcher relied to the descriptive research that depends on the sample survey method in Egypt (Cairo - Giza - Alexandria), with the aim of obtaining accurate and sufficient information about the research topic, The study sample a random sample (177 participants) from students of different faculties at Cairo University, Ain Shams University and Alahram Canadian University, The study results: The results of the first hypothesis showed that there is a statistically significant positive relationship between doomscrolling and digital brain rot among Egyptian youth, The results also proved the second hypothesis that there is a positive and statistically significant relationship between doomscrolling of short form media and psychological illness among Egyptian youth.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.033
GPT teacher head0.374
Teacher spread0.341 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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