This study investigates how destination social responsibility (DSR) improves resident quality of life (QOL) through the lenses of signaling theory and emotional solidarity theory. The study demonstrates the mediating role of resident emotional solidarity toward the destination and the moderating roles of disclosure tone and visual messages. Three experiments indicate that continuous (vs. one-time) DSR positively affects resident emotional solidarity and QOL, whereas emotional solidarity has a mediating role. Emotional solidarity elicited by continuous (vs. one-time) DSR is significantly higher when the disclosure tone of DSR is vivid (vs. pallid). However, when DSR is disclosed using visual messages, emotional solidarity effects of DSR types are not different in vivid tone but have significant differences in pallid tone. This study expands the application of signaling theory and emotional solidarity theory to resident QOL studies and provides suggestions on improving residents’ QOL through DSR.
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Studying images in social media poses specific methodological challenges, which in turn have directed scholarly attention towards the computational interpretation of visual data. When analyzing large numbers of images, both traditional content analysis as well as cultural analytics have proven valuable. However, these techniques do not take into account the circulation and contextualization of images within a socio-technical environment. As the meaning of social media images is co-created by networked publics, bound through networked practices, these visuals should be analyzed on the level of their networked contextualization. Although machine vision is increasingly adept at recognizing faces and features, its performance in grasping the meaning of social media images is limited. However, combining automated analyses of images - broken down by their compositional elements - with repurposing platform data opens up the possibility to study images in the context of their resonance within and across online discursive spaces. This paper explores the capacities of platform data - hashtag modularity and retweet counts - to complement the automated assessment of social media images; doing justice to both the visual elements of an image and the contextual elements encoded by networked publics that co-create meaning.
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Studies into affective publics often involve textual communication. However, emotive communication is increasingly visual. This study zooms in on the representation of the suffering other in seven re-workings of the Alan Kurdi photographs that resonated significantly on Instagram. Chouliaraki’s concept of post-humanitarian solidarity in The Ironic Spectator (2013) is used as a theoretical framework to analyse the content of re-worked images and their post captions. Her concept outlines how distant sufferers tend to be rendered invisible due to the self-reflexive nature of contemporary solidarity. This self-reflexivity gets in the way of solidarity for others unlike us. The study found that, although the sufferer is visually present in almost all re-worked images, the suffering is ‘replaced’ by emotions or political views of the creators. Both Chouliaraki’s ‘distant other’ as well as Markham’s similar other are ways to visually (re)construct the tragedy of Alan Kurdi and the refugee crisis in general. This study adds to this an understanding of how Instagram users, while visually constructing a similar or distant other, also write themselves – often their personal feelings – into such images. Their public, other Instagram users, engages in self-reflexivity by liking such re-workings, aligning with the communicated emotions or political views conveyed. In this way, the platform ‘like feature’ intensifies the self-reflexive nature of contemporary solidarity.
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