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.
LINK
As the revolutions across the Arab world that came to a head in 2011 devolved into civil war and military coup, representation and history acquired a renewed and contested urgency. The capacities of the internet have enabled sharing and archiving in an unprecedented fashion. Yet, at the same time, these facilities institute a globally dispersed reinforcement and recalibration of power, turning memory and knowledge into commodified and copyrighted goods. In The Arab Archive: Mediated Memories and Digital Flows, activists, artists, filmmakers, producers, and scholars examine which images of struggle have been created, bought, sold, repurposed, denounced, and expunged. As a whole, these cultural productions constitute an archive whose formats are as diverse as digital repositories looked after by activists, found footage art documentaries, Facebook archive pages, art exhibits, doctoral research projects, and ‘controversial’ or ‘violent’ protest videos that are abruptly removed from YouTube at the click of a mouse by sub-contracted employees thousands of kilometers from where they were uploaded. The Arab Archive investigates the local, regional, and international forces that determine what materials, and therefore which pasts, we can access and remember, and, conversely, which pasts get erased and forgotten.
MULTIFILE
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.
MULTIFILE