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Updated: Sep 9, 2025
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用户生成的YouTube内容对新闻传播和青少年信息接收的影响
Wu Chunqiong1, Jiang Shan1, Sun Jianhong2
1School of Economics and Management, Yango University, Fuzhou, Fujian Province, China.
概括
用户生成的内容 (UGC) 在YouTube上显著提高了新闻参与度和信任度, 但算法影响和错误信息带来了风险. 媒体素养对于有效的数字新闻消费至关重要.
科学领域:
- 数字媒体研究
- 通信研究
- 信息科学
背景情况:
- YouTube上的用户生成内容 (UGC) 已经改变了新闻传播,引发了人们对可信度,算法影响和错误信息的担忧.
- 在了解UGC参与,信任和算法意识如何影响数字新闻消费模式方面存在研究差距.
研究的目的:
- 调查UGC参与,信任和算法意识对数字新闻消费的影响.
- 比较用户对UGC新闻与传统新闻来源的参与度和信任度.
- 分析YouTube上的UGC新闻中的错误信息.
主要方法:
- 结合调查 (n=100),定性访谈以及对200个YouTube新闻视频的内容分析.
- 使用ANOVA,多变量回归和结构方程建模 (SEM) 的定量分析.
- 进行定性主题分析以对统计结果进行背景分析.
主要成果:
- 互联网新闻消费 (M=3.21) 和信任 (M=3.48) 分别超过传统新闻来源 (M=2.95和M=3.12).
- 用户广告参与与信任正相关 (β=0.42,p<0.001),而算法影响对信任产生负面影响 (β=-0.33,p=0.015).
- 人听闻的UGC内容显示了更高的参与度,但可信度较低,其中38.0%的视频包含错误信息.
结论:
- 平台透明度,内容验证和政策干预是平衡参与算法与新闻可信度的必要条件.
- 媒体素养举措对于授权用户批判性地评估UGC新闻至关重要.
- 应对错误信息和增强对数字新闻环境的信任需要多方面的方法.
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