“…There are few studies of tweeted images, and most focus on analysing the content of those images. They use a "blended" approach (Lewis et al, 2013: 36), which assumes that large numbers of tweeted images can be analysed, sometimes automatically, to produce patterns of varying degrees of interest, but that the (more important) meaning of tweeted images must be identified by human observers looking at much smaller numbers (see Hochman and Manovich, 2013;Manovich and Douglass, 2011;Vis et al, 2013). In fact, most studies of tweeted images conduct a manual content analysis on a few hundred tweeted images at most (see for example Cowart et al, 2016;Kharroub and Bas, 2015;Seo, 2014;Thelwall et al, 2016;Vis et al, 2013).…”
Section: How To See Smart Cities On Twitter: a Methodsmentioning
“…There are few studies of tweeted images, and most focus on analysing the content of those images. They use a "blended" approach (Lewis et al, 2013: 36), which assumes that large numbers of tweeted images can be analysed, sometimes automatically, to produce patterns of varying degrees of interest, but that the (more important) meaning of tweeted images must be identified by human observers looking at much smaller numbers (see Hochman and Manovich, 2013;Manovich and Douglass, 2011;Vis et al, 2013). In fact, most studies of tweeted images conduct a manual content analysis on a few hundred tweeted images at most (see for example Cowart et al, 2016;Kharroub and Bas, 2015;Seo, 2014;Thelwall et al, 2016;Vis et al, 2013).…”
Section: How To See Smart Cities On Twitter: a Methodsmentioning
“…There are in fact already a number of software packages that can retrieve large numbers of images automatically, and others, mostly commercial, that can recognise patterns in the visual content of very large numbers of image files. The Software Studies Initiative has also made software available to allow the analysis and visualisation of large numbers of images (Manovich and Douglass 2011). 5 However, as Hall (2013) argues, the methodological challenge is not simply one of scale which simply requires bigger and faster forms of content analysis.…”
Section: Some Methodological Implicationsmentioning
This paper addresses how geographers conceptualise cultural artifacts. Many geographical studies of cultural objects continue to depend heavily on an approach developed as part of the 'new cultural geography' in the 1980s. That approach examined the cultural politics of representations of place, space and landscape by undertaking close readings of specific cultural objects. Over three decades on, the cultural field (certainly in the Global North) has changed fundamentally, as digital technologies for the creation and dissemination of meaning have become extraordinarily pervasive and diverse. Yet geographical studies of cultural objects have thus far neglected to consider the conceptual and methodological implications of this shift. This paper argues that such studies must begin to map the complexities of digitally-mediated cultural production, circulation and interpretation. It will argue that to do this, it is necessary to move away from the attentive gaze on stable cultural objects as formulated by some of the new cultural geography, and instead focus on mapping the dynamics of the production, circulation and modification of meaning at digital interfaces and across frictional networks.
“…Emerging paradigms of humanistic tinkering are conducted under a myriad of banners, including the digital humanities , critical code studies (Marino 2006), cultural analytics (Manovich and Douglass 2011 ), digital forensics (Kirschenbaum 2008), platform studies (Montfort and Bogost 2009), and bioart (Kac 2007;Wohlsen 2011). Taken together, these initiatives probe software, hardware, and biological wetware in a manner that blurs the line between the humanities and its disciplinary others.…”
Section: Building Blocks For Twenty-first-century Literaciesmentioning
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