Abstract
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.
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