The Structure and Dynamics of the Online MAHA-sphere
Sabit Ahmed, Subigya Nepal, Henry Kautz

TL;DR
This study analyzes the online MAHA movement's ideological ecosystem on Reddit, revealing how beliefs interact, evolve, and form network structures over six years using large-scale data and advanced classification methods.
Contribution
It introduces a comprehensive analysis of MAHA-related online communities, employing a novel tree-based few-shot LLM pipeline to classify stances across multiple themes.
Findings
MAHA users show strong cross-theme bundling and network coherence.
Anti-MAHA users do not exhibit significant bundling beyond chance.
Vaccine skepticism acts as an entry point into broader anti-science narratives.
Abstract
The "Make America Healthy Again" (MAHA) movement has created a complex ideological ecosystem within online communities, where advocacy for healthier lifestyles and whole-food diets coexists with vaccine skepticism and anti-science attitudes. Understanding how these interconnected beliefs interact, overlap, and evolve is critical for public health communication and intervention. We uncover the functional overlaps, network structures, engagement patterns, opinion dynamics, and linguistic differences across the full spectrum of MAHA ideologies. Using large-scale Reddit data spanning six years, we identified 12 MAHA-adjacent themes, including mainstream topics such as exercise, whole food, and screen use, as well as contentious topics such as vaccines, masks, GMOs, fluoride, and others. We developed a tree-based few-shot LLM pipeline to classify stances (pro, anti, neutral) across all…
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.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
