Accepted for/Published in: Journal of Medical Internet Research
Date Submitted: Oct 14, 2025
Open Peer Review Period: Oct 15, 2025 - Dec 10, 2025
Date Accepted: Mar 3, 2026
(closed for review but you can still tweet)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Exploring Menstrual Blood Narratives on Social Media: A Social Media Listening Analysis on Facebook, Reddit, Instagram and TikTok
ABSTRACT
Background:
Menstrual blood (MB) has historically been treated as a hygiene issue, largely excluded from clinical discourse and diagnostic consideration. However, menstruating individuals are increasingly discussing the appearance of MB online, particularly on social media platforms, where they seek advice, share experiences, and assign health-related meaning to menstrual characteristics.
Objective:
This study aimed to examine how MB is represented in social media discourse and to explore individuals’ perceptions of its potential use as a diagnostic tool.
Methods:
A qualitative social media listening study was conducted using data collected from TikTok, Facebook, Instagram, and Reddit via Mention and Apify. After transcription and filtering, 349 posts were included in the final dataset. Data were coded and analysed using Atlas.ti, with additional network and sentiment analyses conducted to identify patterns and associations.
Results:
Most posts originated from Reddit and Facebook, with a majority focused on seeking help. Descriptions of MB centred on colour (especially brown, bright red, pink, and black), consistency (notably coagulation), and, to a lesser extent, smell. These visual and sensory attributes were frequently associated with self-assessed health conditions—including endometriosis, miscarriage, hormonal changes, and infections—as well as with perceived fluctuations in the normal menstrual cycle. Discussion of MB as a diagnostic tool was less frequent but predominantly positive, highlighting interest in non-invasive, home-based diagnostics.
Conclusions:
Social media users already engage in informal diagnostic reasoning based on MB appearance. These lay insights offer valuable clues to clinicians and researchers, suggesting the need to integrate patient-described menstrual characteristics into diagnostic frameworks.
Citation
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.