Bakhshi Saeideh, Gilbert Eric
HCI Research Group, Yahoo Labs, San Francisco, California, United States of America.
College of Computing, Georgia Tech, Atlanta, Georgia, United States of America.
PLoS One. 2015 Feb 6;10(2):e0117148. doi: 10.1371/journal.pone.0117148. eCollection 2015.
Many lab studies have shown that colors can evoke powerful emotions and impact human behavior. Might these phenomena drive how we act online? A key research challenge for image-sharing communities is uncovering the mechanisms by which content spreads through the community. In this paper, we investigate whether there is link between color and diffusion. Drawing on a corpus of one million images crawled from Pinterest, we find that color significantly impacts the diffusion of images and adoption of content on image sharing communities such as Pinterest, even after partially controlling for network structure and activity. Specifically, Red, Purple and pink seem to promote diffusion, while Green, Blue, Black and Yellow suppress it. To our knowledge, our study is the first to investigate how colors relate to online user behavior. In addition to contributing to the research conversation surrounding diffusion, these findings suggest future work using sophisticated computer vision techniques. We conclude with a discussion on the theoretical, practical and design implications suggested by this work-e.g. design of engaging image filters.
许多实验室研究表明,颜色能够引发强烈的情感并影响人类行为。这些现象会影响我们在网上的行为方式吗?图像分享社区面临的一个关键研究挑战是揭示内容在社区中传播的机制。在本文中,我们研究颜色与传播之间是否存在联系。通过从Pinterest爬取的一百万个图像语料库,我们发现颜色会显著影响图像的传播以及诸如Pinterest等图像分享社区上内容的采用情况,即使在部分控制了网络结构和活跃度之后也是如此。具体而言,红色、紫色和粉色似乎会促进传播,而绿色、蓝色、黑色和黄色则会抑制传播。据我们所知,我们的研究是首个调查颜色与在线用户行为之间关系的研究。除了为围绕传播的研究讨论做出贡献外,这些发现还暗示了未来使用复杂计算机视觉技术的工作方向。我们最后讨论了这项工作所暗示的理论、实践和设计意义,例如设计引人入胜的图像滤镜。