Evidence map›Paper›PMID 37389907›Full record

ArticleJournal of medical Internet research2023

Exploring Language Used in Posts on r/birthcontrol: Case Study Using Data From Reddit Posts and Natural Language Processing to Advance Contraception Research.

Elizabeth Pleasants, Julia Holmes Ryan, Cheng Ren, Ndola Prata, Anu Manchikanti Gomez, Cassondra Marshall

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

6 authors.

Elizabeth PleasantsSchool of Public Health, University of California, Berkeley, CA, United States.ORCID 0000-0001-8435-5682
Julia Holmes RyanSchool of Public Health, University of California, Berkeley, CA, United States.ORCID 0000-0001-5752-1630
Cheng RenSchool of Social Welfare, University of California, Berkeley, CA, United States.ORCID 0000-0001-8717-1977
Ndola PrataSchool of Public Health, University of California, Berkeley, CA, United States.ORCID 0000-0002-5913-0737
Anu Manchikanti GomezSchool of Social Welfare, University of California, Berkeley, CA, United States.ORCID 0000-0002-9461-4411
Cassondra MarshallSchool of Public Health, University of California, Berkeley, CA, United States.ORCID 0000-0001-5299-9176

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundContraceptive choice is central to reproductive autonomy. The internet, including social networking sites like Reddit, is an important resource for people seeking contraceptive information and support. A subreddit dedicated to contraception, r/birthcontrol, provides a platform for people to post about contraception.

objectiveThis study explored the use of r/birthcontrol, from the inception of the subreddit through the end of 2020. We describe the web-based community, identify distinctive interests and themes based upon the textual content of posts, and explore the content of posts with the most user engagement (ie, "popular" posts).

methodsData were obtained from the PushShift Reddit application programming interface from the establishment of r/birthcontrol to the start date of analysis (July 21, 2011, to December 31, 2020). User interactions within the subreddit were analyzed to describe community use over time, specifically the commonality of use based on the volume of posts, the length of posts (character count), and the proportion of posts with any and each flair applied. "Popular" posts on r/birthcontrol were determined based on the number of comments and "scores," or upvotes minus downvotes; popular posts had 9 comments and a score of ≥3. Term Frequency-Inverse Document Frequency (TF-IDF) analyses were run on all posts with flairs applied, posts within each flair group, and popular posts within each flair group to characterize and compare the distinctive language used in each group.

resultsThere were 105,485 posts to r/birthcontrol during the study period, with the volume of posts increasing over time. Within the time frame for which flairs were available on r/birthcontrol (after February 4, 2016), users applied flairs to 78% (n=73,426) of posts. Most posts contained exclusively textual content (n=66,071, 96%), had comments (n=59,189, 86%), and had a score (n=66,071, 96%). Posts averaged 731 characters in length (median 555). "SideEffects!?" was the most frequently used flair overall (n=27,530, 40%), while "Experience" (n=719, 31%) and "SideEffects!?" (n=672, 29%) were most common among popular posts. TF-IDF analyses of all posts showed interest in contraceptive methods, menstrual experiences, timing, feelings, and unprotected sex. While TF-IDF results for posts with each flair varied, the contraceptive pill, menstrual experiences, and timing were discussed across flair groups. Among popular posts, intrauterine devices and contraceptive use experiences were often discussed.

conclusionsPeople commonly wrote about contraceptive side effects and experiences using methods, highlighting the value of r/birthcontrol as a space to post about aspects of contraceptive use that are not well addressed by clinical contraceptive counseling. The value of real-time, open-access data on contraceptive users' interests is especially high given the shifting landscape of and increasing constraints on reproductive health care in the United States.

Indexed as

ContraceptionNatural Language ProcessingContraceptive AgentsContraceptive DevicesDocument AnalysisHumansContraceptive Agentsbig datacontraceptioncontraceptive side effectsnatural language processingRedditreproductive autonomysocial networking site

Identifiers

PMID37389907
PMCPMC10365572

What OpenQuestion holds

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LicenceCC BY
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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.