Department of Psychology, Bowling Green State University, Bowling Green, OH, 43403, USA.
Public Health. 2021 May;194:67-74. doi: 10.1016/j.puhe.2021.02.006. Epub 2021 Apr 14.
Instagram artwork about mental illness was examined to learn how artists promote awareness about mental health and mental illness.
Mixed methods predictive and descriptive analyses were conducted on a public dataset of artwork posts from Instagram.
One thousand art images were classified by media (painting, drawing, collage, photograph, digital art, printmaking, sculpture, jewelry, or other) and style (representational, nonrepresentational, and functional). Text captions were clustered using latent semantic analysis. Predictive modeling was used to determine whether the frequency of online community response to posts (likes and comments) varied by artwork features or tagged mental health condition.
Results suggest that artists using mental health art hashtags most often posted two-dimensional, representational art with text descriptions about emotions and personal experience. However, the minority of images of functional art objects received the most frequent number of community responses.
Findings suggest that artists may use informational and commercial strategies to engage online communities and promote mental health awareness.
研究 Instagram 上的心理健康相关艺术作品，了解艺术家如何提高公众对心理健康和精神疾病的认识。
对来自 Instagram 的艺术作品帖子的公共数据集进行混合方法预测性和描述性分析。
将 1000 幅艺术图像按媒介（绘画、素描、拼贴画、照片、数字艺术、版画、雕塑、珠宝或其他）和风格（具象、非具象和功能）进行分类。使用潜在语义分析对文本标题进行聚类。预测模型用于确定在线社区对帖子（点赞和评论）的响应频率是否因艺术品特征或标记的心理健康状况而异。
结果表明，使用心理健康艺术标签的艺术家最常发布二维、具象艺术作品，并附有关于情绪和个人经历的文字说明。然而，功能艺术作品的少数图像获得了最频繁的社区响应。
研究结果表明，艺术家可能会使用信息和商业策略来吸引在线社区并提高心理健康意识。
