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生成型人工智能和机器学习方法用于选社交媒体内容.

Kellen Sharp1, Rachel R Ouellette2, Rujula Singh Rajendra Singh3

  • 1Department of Radio-Television-Film, University of Texas at Austin, Austin, Texas, United States.

PeerJ. Computer science
|March 26, 2025
PubMed
概括
此摘要是机器生成的。

生成型人工智能 (AI) 和机器学习可以选社交媒体数据进行研究,但需要人类监督. 这项研究使用ChatGPT-4来分析TikTok的怀孕和vaping内容,显示了初始查的潜力.

关键词:
聊天GPT 聊天 在GPT 聊天计算机视觉 计算机视觉 计算机视觉结局 结束 结束生成性AI是一种人工智能.机器学习是机器学习.怀孕 怀孕 怀孕 怀孕社交媒体 社交媒体在这里,我们可以看到TikTok,TikTok,TikTok.电子烟 Vaping 是一种电子烟.电子烟是一种电子烟.

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科学领域:

  • 计算社会科学 计算社会科学
  • 数字健康数字健康
  • 研究中的人工智能.

背景情况:

  • 社交媒体研究面临着巨大的挑战,不断变化的数据和无关紧要的搜索结果.
  • 需要有效的方法来选特定研究问题的社交媒体内容.
  • 生成型人工智能和机器学习为内容选提供了潜在的解决方案.

研究的目的:

  • 介绍用于选社交媒体内容的生成性人工智能 (AI) 和机器学习方法.
  • 应用这些方法来识别与怀孕期间使用电子烟相关的TikTok内容.
  • 评估ChatGPT-4在选特定内容方面的有效性.

主要方法:

  • 使用70个hashtag对搜索TikTok的怀孕和vaping内容,获得了11,673个帖子.
  • 提取了视频,描述和元数据;使用Whisper转录了音频;并执行了对象/文本检测.
  • 使用ChatGPT-4进行内容分析,由人类编码器进行交叉检查和审查.

主要成果:

  • 聊天GPT-4将44.86%的视频归类为与怀孕相关的,36.91%为与vaping相关的,8.91%为两者兼而有之.
  • 人类评论员证实了通过ChatGPT识别的45.38%帖子中的vaping和怀孕内容.
  • 对被排除的帖子的人类审查显示,与ChatGPT的选的同意率为99.06%.

结论:

  • 聊天GPT展示了通过机器学习转换为文本的社交媒体内容选的混合能力.
  • 聊天GPT的灵敏度低于人类编码器,但对于初始选和排除无关内容是有效的.
  • 未来的研究应该专注于提高ChatGPT对社交媒体内容分析的敏感性.