Exploring user engagement behavior with short-form video advertising on short-form video platforms: a visual-audio perspective

透视图(图形) 视听 计算机科学 多媒体 在线视频 广告 心理学 人工智能 业务
作者
Lin Xiao,Xiaofeng Li,Jian Mou
出处
期刊:Internet Research [Emerald Publishing Limited]
卷期号:36 (1): 154-188 被引量:23
标识
DOI:10.1108/intr-07-2023-0521
摘要

Purpose Short-form video advertisements have recently gained popularity and are widely used. However, creating attractive short video advertisements remains a challenge for sellers. Based on the visual-audio perspective and signaling theory, this study investigated the impacts of three visual features (number of shots, pixel-level image complexity and vertical versus horizontal formats) and two audio features (speech rate and average spectral centroid) on user engagement behavior. Design/methodology/approach We conducted a field study on TikTok. To test our various hypotheses, we used regression analysis on 2,511 videos containing product promotion information posted by 60 sellers between January 1, 2020 and November 20, 2021. Findings For visual variables, the number of shots and pixel-level image complexity were found to have nonlinear (inverted U-shaped) relationships with user engagement behavior. The vertical video form was found to have a positive effect on comments and shares. In the case of audio variables, speech rate was found to have a significant positive effect on shares but not on likes and comments. The average spectral centroid was found to have significant negative influences on likes and comments. Practical implications This study provides specific suggestions for sellers who create short-form videos to improve user engagement behavior. Originality/value This study contributes to the literature on short-form video advertising by extending the potential drivers of user engagement behavior. Additionally, from a methodological perspective, it contributes to the literature by using computer vision and speech-processing techniques to analyze user behavior in a video-related context, effectively overcoming the limitations of the widely adopted survey method.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
完美世界应助miaomao采纳,获得10
刚刚
二十二点36完成签到,获得积分10
刚刚
糊涂的砖头完成签到,获得积分10
刚刚
刚刚
刚刚
liao完成签到,获得积分10
1秒前
1秒前
陈明天发布了新的文献求助10
2秒前
2y完成签到,获得积分10
2秒前
2秒前
JOSIELO完成签到 ,获得积分10
3秒前
3秒前
一yeah暴富完成签到,获得积分10
3秒前
HHHH发布了新的文献求助10
3秒前
十三里铺发布了新的文献求助10
4秒前
urologywang完成签到 ,获得积分10
4秒前
5762发布了新的文献求助10
4秒前
杨武天一发布了新的文献求助10
5秒前
5秒前
俏皮的鱼发布了新的文献求助10
5秒前
qiyr完成签到,获得积分10
6秒前
6秒前
Tree_QD发布了新的文献求助10
6秒前
Colin发布了新的文献求助10
7秒前
7秒前
饱满皮皮虾完成签到,获得积分10
7秒前
爱笑凤凰完成签到,获得积分10
7秒前
不知发布了新的文献求助10
8秒前
zadi发布了新的文献求助20
8秒前
8秒前
HB完成签到,获得积分10
8秒前
帅气的祥完成签到,获得积分10
9秒前
侯人雄应助吴小利采纳,获得20
9秒前
努力努力再努力完成签到,获得积分10
9秒前
万能图书馆应助lin采纳,获得10
9秒前
1266完成签到,获得积分10
10秒前
研友_VZG7GZ应助科研单身狗采纳,获得10
10秒前
迷茫的学术完成签到,获得积分10
11秒前
11秒前
11秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Bounds for Statistical Estimation in Semiparametric Models 500
Climate change and sports: Statistics report on climate change and sports 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6474775
求助须知:如何正确求助?哪些是违规求助? 8277532
关于积分的说明 17651055
捐赠科研通 5555615
什么是DOI,文献DOI怎么找? 2910108
邀请新用户注册赠送积分活动 1886893
关于科研通互助平台的介绍 1739538