机器眼中的政治:计算机视觉让我们看到了什么

E. Bucy
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引用次数: 0

摘要

计算机视觉技术最近在视觉政治传播研究领域崭露头角,极大地扩展了数字图像和视频分析的范围。特别是在过去五年中,以计算方法为特色的论文在频率和广度上都有所增长,出现在不同学科的各种期刊上,从数字人文和社会符号学到政治传播和数据科学。主题同样广泛,包括政治抗议,候选人自我表现风格和党派象征主义,情感两极分化,性别刻板印象,辩论表演和选民印象形成,公共政策,选举欺诈以及传统政治之外的主题,如极端主义宣传。在本文中,简要回顾了这些调查领域中的每一个,以了解它们对政治视觉以及所使用的工具和技术所揭示的见解。还探讨了伦理方面的考虑,以强调涉及政治视觉计算分析的研究中固有的一些权衡。
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Politics through machine eyes: What computer vision allows us to see
Computer vision techniques have recently burst onto the scene in visual political communication research, dramatically extending the scope of digital image and video analysis. Over the last five years, in particular, papers featuring computational methods have grown in frequency and breadth, appearing in a variety of journals across different disciplines, ranging from the digital humanities and social semiotics to political communication and data science. Topics have been equally expansive and include large scale examinations of political protest, candidate self-presentation style and partisan symbolism, affective polarization, gender stereotypes, debate performances and voter impression formation, public policy, electoral fraud, and topics outside of conventional politics such as extremist propaganda. In this article, each of these areas of investigation are briefly reviewed for the insights they are revealing about political visuals as well as the tools and techniques employed. Ethical considerations are also explored to highlight some of the tradeoffs inherent in research involving computational analysis of political visuals.
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