ArticleDigital health
#ec: Findings and implications from a quantitative content analysis of tweets about emergency contraception.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- Contraceptive content shared on social media: an analysis of Twitter.Contraception and reproductive medicine · 2024Article
- [Contraception on YouTube, Instagram, and TikTok : A content and quality analysis].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2023Article
- Exploring Language Used in Posts on r/birthcontrol: Case Study Using Data From Reddit Posts and Natural Language Processing to Advance Contraception Research.Journal of medical Internet research · 2023Article
- [Contraception in the German-language Wikipedia: a content and quality analysis].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2022Article
- Understanding Discussions of Health Issues on Twitter: A Visual Analytic Study.Online journal of public health informatics · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Twitter, a popular social media, helps users around the world quickly share and receive information. The way in which Twitter frames health issues - especially controversial issues like emergency contraception (EC) - can influence public opinion. The current study analyzed all English-language EC-related tweets from March 2011 (
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Identifiers
What OpenQuestion holds
Registered trials
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.