Search Articles

View query in Help articles search

Search Results (1 to 10 of 48 Results)

Download search results: CSV END BibTex RIS


Public Perceptions of Very Low Nicotine Content on Twitter: Observational Study

Public Perceptions of Very Low Nicotine Content on Twitter: Observational Study

To establish a codebook for coding all tweets, we randomly selected 300 (around 10%) noncommercial tweets related to VLNC, which were manually coded in parallel by 2 human coders (X Liu and X Lou). We classified tweets as positive, negative, or neutral based on their attitude toward VLNC. At the same time, within each attitude, we further characterized tweets into different topics. Each tweet can be assigned with more than 1 topic.

Zidian Xie, Xinyi Liu, Xubin Lou, Dongmei Li

JMIR Form Res 2024;8:e63035