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现场和中介用户参与:来自两个孟加拉语音频故事基于youtube频道的比较数据集
Mohammad Harun Or Rashid1, Md Tanbeer Jubaer2, Barisha Chowdhury2
1Department of Humanities, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh.
Data in brief
|January 13, 2025
概括
这个数据集分析了YouTube音频故事的参与度,比较了现场和中介交互. 它包括广泛的评论和聊天数据,为研究人员和内容创作者提供对用户行为和语言使用的见解.
科学领域:
- 数字媒体研究 数字媒体研究
- 计算语言学 计算语言学
- 社交媒体分析
背景情况:
- YouTube音频故事频道展示了不同的实时和中介用户参与模式.
- 了解这些互动动态对于内容创作者和研究人员来说至关重要.
- 现有的数据集往往缺乏来自实时用户交互的细粒度文本数据.
研究的目的:
- 呈现一个全面的数据集,详细说明用户与YouTube上的音频故事内容的互动.
- 为了促进实时与实时后 (中介) 用户互动的比较分析.
- 为了研究语言使用,数字参与模式和受众行为.
主要方法:
- 从2022年7月到2024年2月的两个YouTube音频故事频道收集数据.
- 包括230个音频故事的定量指标 (浏览量,喜欢量,评论量).
- 整合了超过25万条文字评论和30万条实时聊天消息,并进行了语言分类.
主要成果:
- 数据集包括丰富的多式联运用户交互数据,包括广泛的文字评论和实时聊天.
- 定量参与度指标为分析内容性能提供了基础.
- 评论的语言分类允许对观众参与进行语言分析.
结论:
- 这一数据集为研究YouTube上的数字参与和语言使用细微差别提供了一个独特的资源.
- 它支持社交媒体,语言学和数字通信领域的跨学科研究.
- 获得的洞察力可以为内容战略优化提供信息,以增强受众互动.
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