Heritage, Volume 3, Issue 2
2020 June - 23 articles
Cover Story: In this paper, we present an experiment using computer vision and automated annotation of over ten thousand photographs from Instagram, connected with the buying and selling of human remains, in order to develop a distant view of the sensory effect of these photos: What macroscopic patterns exist, and how do these relate to the self-presentation of these individual vendors? The cover image is an example of our use of Microsoft’s Azure cloud computing and machine learning services, through which one can annotate photographs automatically and then visualize the co-occurrence of these tags as a series of networks. The resulting network per social media account gives us a sense of the sensory effect of the account. The results of this experiment suggest that this approach has utility for social media network analysis in general, whether related to trafficking research or not. View this paper
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Heritage - ISSN 2571-9408