Helicopter parenting through the lens of reddit: A text mining study.

C Keerthigha, Smita Singh, Kai Qin Chan, Nerina Caltabiano

Abstract read

In one paragraph

Article in Heliyon, 2023. 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.

Associations Between Overparenting and Offspring's Mental Health: A Meta-Analysis of Multiple Moderators.Behavioral sciences (Basel, Switzerland) · 2025
Review

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.

C KeerthighaSchool of Social and Health Sciences, James Cook University, Singapore.

Smita SinghSchool of Social and Health Sciences, James Cook University, Singapore.

Kai Qin ChanSchool of Social and Health Sciences, James Cook University, Singapore.

Nerina CaltabianoCollege of Healthcare Sciences, James Cook University, Cairns, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study aimed to understand Reddit users' experience with helicopter parenting through first-hand accounts. Text mining and natural language processing techniques were employed to extract data from the subreddit r/helicopterparents. A total of 713 original posts were processed from unstructured texts to tidy formats. Latent Dirichlet Allocation (LDA), a popular topic modeling method, was used to discover hidden themes within the corpus. The data revealed common environmental contexts of helicopter parenting (i.e., school, college, work, and home) and its implication on college decisions, privacy, and social relationships. These collectively suggested the importance of autonomy-supportive parenting and mindfulness interventions as viable solutions to the problems posed by helicopter parenting. In addition, findings lent support to past research that has identified more maternal than paternal models of helicopter parenting. Further research on the implications of the COVID-19 pandemic on helicopter parenting is warranted.

Indexed as

Helicopter parentingLatent dirichlet allocation (LDA)Natural language processingPythonRedditSocial media dataText mining

Identifiers

PMID37886774

DOI10.1016/j.heliyon.2023.e20970

PMCPMC10597765

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.