Live vs. Static Comments: Empirical Analysis of Their Differential Effects on User Evaluation of Online Videos

Unlike static comments, which are typically located below online videos, live comments affect consumers’ video-watching experiences in real time and may influence their evaluation of the video in distinct ways. Despite the significance of live comments, few studies have explored the differentiated effects of live comments vs. static comments on user evaluation of online videos. Utilizing a dataset comprising approximately two million pieces of textual data from a leading Chinese online video platform, our findings reveal substantial differences between the effects of live and static comments, with these effects varying by video type (informational versus emotional) and showing notable changes during health threats. This study examines the differential impact of live vs. static comments, providing empirical evidence for distinct information processing pathways under varying time constraints. Our results shed light on the underlying mechanisms responsible for the diverse effects of different forms of social interaction, offering valuable theoretical insights. They also have managerial implications regarding how online video platforms can facilitate engagement among viewers and between video creators and their audiences.

Authors

Institutions

Publication Details

Journal
Journal of theoretical and applied electronic commerce research
Published
2025-05-15
DOI
https://doi.org/10.3390/jtaer20020102
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Live vs. Static Comments: Empirical Analysis of Their Differential Effects on User Evaluation of Online Videos

Peng Zou, Di Huo, Y. P. Lu
Journal of theoretical and applied electronic commerce research
Digital Marketing and Social Media
article

Live vs. Static Comments: Empirical Analysis of Their Differential Effects on User Evaluation of Online Videos

Peng Zou, Di Huo, Y. P. Lu
article en

Abstract

Unlike static comments, which are typically located below online videos, live comments affect consumers’ video-watching experiences in real time and may influence their evaluation of the video in distinct ways. Despite the significance of live comments, few studies have explored the differentiated effects of live comments vs. static comments on user evaluation of online videos. Utilizing a dataset comprising approximately two million pieces of textual data from a leading Chinese online video platform, our findings reveal substantial differences between the effects of live and static comments, with these effects varying by video type (informational versus emotional) and showing notable changes during health threats. This study examines the differential impact of live vs. static comments, providing empirical evidence for distinct information processing pathways under varying time constraints. Our results shed light on the underlying mechanisms responsible for the diverse effects of different forms of social interaction, offering valuable theoretical insights. They also have managerial implications regarding how online video platforms can facilitate engagement among viewers and between video creators and their audiences.

Journal of theoretical and applied electronic commerce researchVol. 20(2)
Harbin Institute of Technology (CN), Seoul School of Integrated Sciences and Technologies (KR)
National Natural Science Foundation of China
Openalex Percentile: Top 86%
Digital Marketing and Social Media
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.