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Emotions through texts and images

Abstract We analyzed in multimodal Flickr posts how citizens express emotion in response to the outcome of the EU Referendum that led to the Brexit vote. We conceived a model that articulates three levels of analysis, in a bid to understand how meaning operates, namely how inscribed, signalled and/or supported emotion is expressed in narrative and/or conceptual representations, in image and in text, through logico-semantic relations of expansion, projection and/or decoration. We tested this model empirically on a corpus of 173 posts. Our results reveal that emotion is very often supported through images and that narrative representations are particularly prevalent in the text.