Online social networks produce a visuality that reflects the attention economy governing this space. What is seen becomes elevated into prominence by networked publics that ‘perform’ affective expressions within platform affordances. We mapped Twitter images of refugees in two language spaces – English and Arabic. Using automated analysis and qualitative visual analysis, we found similar images circulating both spaces. However, photographs generating higher retweet counts were distinct. This highlights the impact of affective affordances of Twitter – in this case retweeting – on regimes of visibility in disparate spheres. Representations of refugees in the English language space were characterized by personalized, positive imagery, emphasizing solidarity for refugees contributing to their host country or stipulating innocence. Resonating images in the Arabic space were less personalized and depicted a more localized visuality of life in refugee camps, with an emphasis on living conditions in refugee camps and the efforts of aid organizations.

中文翻译：

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Twitter的知名度和情感支持机制

在线社交网络产生视觉效果，反映出控制此空间的注意力经济。网络公众在平台能力范围内“表现”情感表达时，所看到的东西变得更加突出。我们在两种语言空间（英语和阿拉伯语）中绘制了难民的Twitter图片。使用自动分析和定性视觉分析，我们发现在两个空间中都有相似的图像。但是，产生更高转发次数的照片却截然不同。这突显了Twitter的情感能力（在这种情况下为转推）对不同领域可见性制度的影响。难民代表在英语空间的特点是个性化，积极的形象，强调对为东道国作出贡献或规定无罪的难民的团结。