Understanding travel influencers’ video on instagram: A transfer learning approach

IF 12.4 1区 管理学 Q1 ENVIRONMENTAL STUDIES Tourism Management Pub Date : 2025-03-18 DOI:10.1016/j.tourman.2025.105168
Hyunsang Son , Young Eun Park
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引用次数: 0

Abstract

This study employs a transfer learning technique for video analytics, collecting and analyzing all Instagram video postings (n = 3981) from the top 40 influencer lists and proposing a novel approach for automated video analytics. A structural approach was performed to estimate the effects of 15 video-related features on consumer engagement. We find that video length, speech sentiment, smiling, saturation, and contrast of brightness are negatively associated with consumer engagement, whereas emotions (surprise, happiness, neutral, anger, sadness, fear), product size, and brightness are positively associated with user engagement.
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理解instagram上旅游网红的视频:一种迁移学习方法
本研究采用迁移学习技术进行视频分析,从前40名网红列表中收集和分析所有Instagram视频帖子(n = 3981),并提出一种自动化视频分析的新方法。采用结构方法来估计15个视频相关功能对消费者参与的影响。我们发现,视频长度、演讲情绪、微笑、饱和度和亮度对比与消费者参与度呈负相关,而情绪(惊喜、快乐、中性、愤怒、悲伤、恐惧)、产品大小和亮度与用户参与度呈正相关。
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来源期刊
Tourism Management
Tourism Management Multiple-
CiteScore
24.10
自引率
7.90%
发文量
190
审稿时长
45 days
期刊介绍: Tourism Management, the preeminent scholarly journal, concentrates on the comprehensive management aspects, encompassing planning and policy, within the realm of travel and tourism. Adopting an interdisciplinary perspective, the journal delves into international, national, and regional tourism, addressing various management challenges. Its content mirrors this integrative approach, featuring primary research articles, progress in tourism research, case studies, research notes, discussions on current issues, and book reviews. Emphasizing scholarly rigor, all published papers are expected to contribute to theoretical and/or methodological advancements while offering specific insights relevant to tourism management and policy.
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