Automation of visual communication and aesthetic construction of national image
A computational aesthetic analysis of social bots on Twitter
Bibliographic Data
| ID | 22260815 |
|---|---|
| Authors | Yangkun Huang (0000-0002-1521-1981, Tsinghua University), Changfeng Chen (0000-0002-6110-1118, Tsinghua University, corresponding author) |
| Year | 2024 |
| Volume | 3 |
| Issue | 1 |
| Pages | 134-150 |
| Publication date | 2024-03-25 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Online Media and Global Communication (JOURNAL) |
| Journal identifiers | ISSN: 2749-9049 • E-ISSN: 2749-9049 |
| Publisher | Walter de Gruyter GmbH (PUBLISHER • DE) |
| DOI | 10.1515/omgc-2024-0010 |
| OpenAlex | W4393146408 |
| Language | EN |
| Citations received | 2 |
| References cited | 12 |
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
Automation · Data science · Human–computer interaction · Internet privacy · Multimedia · Visual Communication · Aesthetic Perception and Analysis · Categorization, perception, and language · Color perception and design · Computer Science · Engineering · Artificial Intelligence
| Citations per year | 2 |
|---|---|
| Citation span | 2025 - 2026 (2) |
| Highly cited | No |