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Spatiotemporal Analysis of Electronic Cigarette Perception on Twitter/X Using Natural Language Processing.

Zidian Xie¹, Jiamu Tang², Dongmei Li¹

¹University of Rochester Medical Center.

Research Square

|March 27, 2026

Summary

This summary is machine-generated.

Online perceptions of electronic cigarettes (e-cigarettes) on Twitter/X increased, with positive sentiment outweighing negative, especially among users. E-cigarette sentiment varied by country and user type.

Keywords:

Deep learning model E-cigarettes Sentiment Social media Topic Twitter/X

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Area of Science:

Social Media Analytics
Public Health Surveillance
Digital Communication

Background:

Electronic cigarettes (e-cigarettes) have surged in popularity, particularly among young demographics.
Understanding public perception of e-cigarettes is crucial for public health initiatives and policy development.

Purpose of the Study:

To analyze the spatiotemporal patterns of online perception regarding e-cigarettes on Twitter/X.
To identify key themes and sentiments expressed in e-cigarette-related social media discussions.

Main Methods:

Collected over 3 million e-cigarette-related tweets from March 2021 to March 2023 via the Twitter API.
Utilized Natural Language Processing (NLP) techniques, including RoBERTa and Latent Dirichlet Allocation (LDA), for sentiment analysis and topic modeling.
Human coders validated tweet relevance, sentiment, and user type for model training and analysis.

Main Results:

Observed a significant increase in e-cigarette discussions, notably in the UK and Australia.
Positive sentiment (27.0%) slightly exceeded negative sentiment (23.3%), with neutral tweets comprising nearly half.
E-cigarette users expressed significantly more positive sentiment (41.19%) compared to non-users (9.74%).

Conclusions:

Online perceptions of e-cigarettes on Twitter/X demonstrate temporal and geographical variations.
Distinct sentiment differences exist between e-cigarette users and non-users on social media.
Findings offer valuable insights for targeted public health messaging and evolving tobacco regulations.