ArticleJournal of community health2025
Traffic as an Urban Health Determinant: Coverage of the New York City Congestion Pricing Plan on TikTok.
Article in Journal of community health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Generative AI for climate governance and acceptability-constrained policy design.npj climate action · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Social listening can provide deeper insight into public sentiment regarding policy proposals, as seen with the congestion pricing initiative in New York City (NYC). The purpose of this study was to assess the content of a sample of TikTok videos related to congestion pricing in NYC. A total of 100 unique videos were extracted from the hashtag #nyccongestionpricing on TikTok and coded for the presence of the following information based on four different areas of focus: video metrics, details about pricing plan, effects of pricing plan, and user-related issues. In total, the 100-video sample received 17,375,818 views, 1,285,610 likes, 89,883 favorites, and 100,634 comments. Only 3 of the 25 content characteristics were present in a majority (> 50) of the videos. These were mentions location (below 60th street of Manhattan) (N = 65), mentions cost (N = 61), and mentions cons of pricing (N = 56). Mentioning location had a significant effect on the views (p = 0.0163) and likes (p = 0.0225) a video received. Mentioning cost had a statistical impact on the views (p = 0.0098), likes (p = 0.0128), favorites (p = 0.0128), and comments (p = 0.0030) that the video received. Mentioning the MTA and benefits of the congestion plan significantly lowered metrics of engagement. Themes that emerged were personal, often negative and tended to focus more on cost to citizens and location, despite the evidence of negative public health impacts. This research can be used as a springboard for future research that examines social listening at the intersection of public health and policy.
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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.