视觉传播自动化与国家形象的美学建构:对推特上社交机器人的计算美学分析

Yangkun Huang, Changfeng Chen
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引用次数: 0

摘要

视觉与审美是国家形象塑造不可分割的两个维度。本文基于推特(Twitter,后更名为X)上106562张与中国相关的图片,引入计算美学方法对推特上社交机器人的视觉传播活动进行研究,比较人类与机器人账号发布图片的异同,从而探讨社交机器人审美策略的影响。结果表明,社交机器人在构建与中国相关的视觉框架时表现出了不同的审美策略,在亮度、饱和度、色彩等方面与人类形成了明显的风格差异。负二项回归表明,社交机器人的审美策略有助于获得更多的赞和分享。视觉传播与审美建构的自动化,不仅使国家形象的全球建构与传播面临新的形势与挑战,也将整个人类的视觉审美、创作与传播活动推向潜在的主体性危机。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automation of visual communication and aesthetic construction of national image: a computational aesthetic analysis of social bots on Twitter
Vision and aesthetics are inseparable dimensions of national image building. Based on 106,562 China-related images from Twitter (renamed as X), this paper introduced a computational aesthetic approach to investigate the visual communication activities of social bots on Twitter and compared the similarities and differences between human and bot accounts’ posted images so as to explore the influence of social bots’ aesthetic strategies. The results show that social bots have displayed different aesthetic strategies in the construction of the China-related visual frame, and formed obvious stylistic differences with humans in brightness, saturation, color, etc. Negative binomial regression indicates that the aesthetic strategies of social bots contribute to more likes and shares. The automation of visual communication and aesthetic construction not only makes the global building and communication of national image face new situations and challenges, but also pushes the whole human visual aesthetic, creation, and communication activities under the potential subjectivity crisis.
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