Content Analysis of Cannabis Discourses on Twitter/X in the U.S.

ABSTRACT:

Introduction

With the legalization of both medical and recreational cannabis use in many U.S. states, this study aims to explore public perceptions and discussions about cannabis on social media in the U.S.

Methods

Twitter (now rebranded as X) data on cannabis were collected between February 2022 and February 2023 using the Twitter/X streaming Application Programming Interface. To assess the attitude of tweets toward cannabis and to determine whether Twitter/X users were cannabis users, human-guided deep-learning models called bidirectional encoder representations from transformers were used. The sex and age of users were inferred using a deep-learning facial recognition algorithm (DeepFace). The Latent Dirichlet Allocation topic model was used to comprehend the discussed to

SUBMITTER: Xie Z 

PROVIDER: S-EPMC12480873 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature