Sensemaking About Contraceptive Methods Across Online Platforms
LeAnn McDowall, Maria Antoniak, David Mimno

TL;DR
This study analyzes how online platforms like Twitter, Reddit, and WebMD facilitate sensemaking about contraceptive methods, revealing platform-specific practices and unmet informational needs of users.
Contribution
It introduces a multi-platform analysis of birth control discussions, combining topic modeling and annotation to characterize sensemaking practices and create comparative lexicons.
Findings
Different platforms support distinct sensemaking practices.
Lexicons reveal variations in side effect discussions across platforms.
Online discussions highlight unmet informational needs of birth control users.
Abstract
Selecting a birth control method is a complex healthcare decision. While birth control methods provide important benefits, they can also cause unpredictable side effects and be stigmatized, leading many people to seek additional information online, where they can find reviews, advice, hypotheses, and experiences of other birth control users. However, the relationships between their healthcare concerns, sensemaking activities, and online settings are not well understood. We gather texts about birth control shared on Twitter, Reddit, and WebMD -- platforms with different affordances, moderation, and audiences -- to study where and how birth control is discussed online. Using a combination of topic modeling and hand annotation, we identify and characterize the dominant sensemaking practices across these platforms, and we create lexicons to draw comparisons across birth control methods and…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsReproductive Health and Contraception · Computational and Text Analysis Methods · Reproductive Health and Technologies
