Seeing bodies: Using social media image analysis to better understand body image perception

看到身体：使用社交媒体图像分析更好地理解身体图像感知

• 批准号: 2142534
• 金额: --
• 依托单位: Manchester Metropolitan University
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2142534
• 关键词: Seeing; bodies; Using; social; media

Although there has been much research around social media use and trends there has been little relating to images, which now accounts for the majority of material posted on social media platforms. Whilst there is significant research on particular types of body presentations, in particular selfies, it is less well understood how good machines are at reading different types of bodies compared to humans. I aim to investigate how different types of bodies are shown and perceived on social media and hope to contribute to a fledgling field of study by developing techniques for analysing and making sense of online images both by using manual analysis and techniques relying on AI.

虽然有很多关于社交媒体使用和趋势的研究，但与图像有关的研究很少，而图像现在占社交媒体平台上发布的大多数材料。虽然对特定类型的身体呈现有重要的研究，特别是自拍，但与人类相比，机器在阅读不同类型的身体方面有多好还不太清楚。我的目标是调查不同类型的身体是如何在社交媒体上展示和感知的，并希望通过开发使用人工分析和依赖人工智能的技术来分析和理解在线图像的技术，为一个新兴的研究领域做出贡献。