Audience emotional appraisals and interaction-weighted salience of short-video communication in international contexts: evidence from Haidilao dance videos on Douyin and TikTok
Year: 2026
Type: article
Abstract: This study examines expressed audience appraisals and recorded engagement in Haidilao dance-video comments from two platform-language environments. The retained corpus contains 9,323 records: 5,199 from Douyin and 4,124 from TikTok after removal of 331 duplicate export records. Frozen multilingual rules assign five-point valence, five-point intensity, and six dominant categories. Agreement with reference labels in a 300-record category-balanced audit is weighted κ = 0.794 for valence, weighted κ = 0.837 for intensity, and κ = 0.848 for category. The internal audit includes 34 records that overlap rule-development examples by identifier or exact text. Performer/service appreciation comprises 23.2% of Douyin and 26.9% of TikTok records and encompasses service, appearance, and performance appraisals. Interaction-weighted patterns are sensitive to popular comments. Douyin Stage-2 reply-weighted negative valence falls from 26.8 to 3.9% after 99th-percentile weight capping. The TikTok source-key reanalysis uses 72 adjacent-window pairs from eight source videos. Two associations have CR1-adjusted t-based 95% intervals excluding 1, but all six delete-one-source jackknife intervals include 1. The findings describe machine-coded expression and cumulative interaction concentration; they do not establish individual psychological change, causal effects, or population-level platform differences.
Source: Frontiers in Psychology
Authors: Yizhou Zhang, Li Li
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,801
OpenAlex ID: W7222665553