What Drives Engagement? Analyzing Comment Sentiment and Discussion Themes in AI- and Human-Generated TikTok Content Using Sentiment Analysis

Abstract

This analysis examined the disparity between AI and human TikTok videos with respect to user engagement utilizing sentiment analysis and topic modeling. The study collected a sample of 400 TikTok videos alongside 255,541 comments to gauge sentiment dispersion and talk disregarding themes AI versus human content. Results suggested a neutral comment sentiment towards the AI content while the human content achieved deeper emotional engagement along with stronger positive sentiment comment and criticisms. The study was built on media richness theory by adding that within the context of engagement, authenticity preempts the impact of technical quality. This study also was conducted two contrasting user motivations for AI versus human content. As a result, content creators should make use of AI’s efficiency while appealing to human emotional charge in order to achieve greater engagement.