Evidence map›Paper›PMID 36987388›Full record

ArticleJournal of interpersonal violence2023

Characterizing the Differences in Descriptions of Violence on Reddit During the COVID-19 Pandemic.

Lifang Li, Lilly Neubauer, Robert Stewart, Angus Roberts

Open access · hybridAbstract read
In one paragraph

Article in Journal of interpersonal violence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 35% of its field
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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 2 institutions in 1 country.

Lifang LiKing's College London, UK.ORCID 0000-0003-4917-5701
Lilly NeubauerUniversity College London, UK.
Robert StewartKing's College London, UK.
Angus RobertsKing's College London, UK.
King's College London · GBUniversity College London · GB

Funding

British Heart FoundationChief Scientist OfficeMedical Research Council MC_PC_17214Medical Research Council MR/T045302/1Medical Research Council MR/V049879/1Medical Research Council MR/W014386Medical Research Council MR/W014386/1Wellcome Trust
6 · The paper itself

Abstract

Concerns have been raised over the experiences of violence such as domestic violence (DV) and intimate partner violence (IPV) during the COVID-19 pandemic. Social media such as Reddit represent an alternative outlet for reporting experiences of violence where healthcare access has been limited. This study analyzed seven violence-related subreddits to investigate the trends of different violence patterns from January 2018 to February 2022 to enhance the health-service providers' existing service or provide some new perspective for existing violence research. Specifically, we collected violence-related texts from Reddit using keyword searching and identified six major types with supervised machine learning classifiers: DV, IPV, physical violence, sexual violence, emotional violence, and nonspecific violence or others. The increase rate (IR) of each violence type was calculated and temporally compared in five phases of the pandemic. The phases include one pre-pandemic phase (

Indexed as

COVID-19Domestic ViolenceIntimate Partner ViolenceSex OffensesHumansPandemicsdata classificationincrease rateRedditviolence types

Identifiers

PMID36987388
PMCPMC10064198
OpenAlexW4361298352

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.