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Constant or inconstant? The time-varying effect of danmaku on user engagement in online video platforms

Haixia Yuan (School of Business, Anhui University, Hefei, China)
Kevin Lu (Brunel University London, Uxbridge, UK)
Ali Ausaf (School of Business, Anhui University, Hefei, China)
Mohan Zhu (School of Business, Anhui University, Hefei, China)

Internet Research

ISSN: 1066-2243

Article publication date: 6 August 2024

230

Abstract

Purpose

As an emerging video comment feature, danmaku is gaining more traction and increasing user interaction, thereby altering user engagement. However, existing research seldom explores how the effectiveness of danmaku on user engagement varies over time. To address this research gap, this study proposes a comprehensive framework drawing on social presence theory and information overload theory. The framework aims to explain how the effectiveness of danmaku in increasing user engagement changes over shorter time intervals.

Design/methodology/approach

A research model was proposed and empirically tested using data collected from 1,019 movies via Bilibili.com, one of China’s most popular danmaku video platforms. A time-varying effect model (TVEM) was used to examine the proposed research model.

Findings

The study finds that the volume of danmaku and its valence exert a time-varying influence on user engagement. Notably, the study shows that danmaku volume plays a more substantial role in determining user engagement than danmaku valence.

Originality/value

This research offers theoretical insights into the dynamic impact of danmaku on user engagement. The innovative conceptualization and measurement of user engagement advance research on pseudo-synchronous communication engagement. Furthermore, this study offers practical guidelines for effectively managing danmaku comments on online video platforms.

Keywords

Citation

Yuan, H., Lu, K., Ausaf, A. and Zhu, M. (2024), "Constant or inconstant? The time-varying effect of danmaku on user engagement in online video platforms", Internet Research, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/INTR-06-2023-0479

Publisher

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Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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