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Social and Behavioral Sciences Commons™
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Full-Text Articles in Social and Behavioral Sciences
Attentional Social Media: Mapping The Spaces And Networks Of The Fashion Industry, Ate Poorthuis, Dominic Powers, Matthew Zook
Attentional Social Media: Mapping The Spaces And Networks Of The Fashion Industry, Ate Poorthuis, Dominic Powers, Matthew Zook
Geography Faculty Publications
In this article we use big data methods to analyze the attention paid to the fashion industry on social media. The article argues that for the fashion industry, like many industries, the core product is a form of knowledge that is dependent on gaining and holding people’s attention. To understand this attentional economy, social media offers a unique window because it is increasingly a central space within which fashion knowledge is created and shared. Using long-term, geotagged big data from Twitter, we analyze the hitherto difficult-to-explore spaces and places of the global fashion industry. The article suggests that the data …
Modeling And Mapping Location-Dependent Human Appearance, Zachary Bessinger
Modeling And Mapping Location-Dependent Human Appearance, Zachary Bessinger
Theses and Dissertations--Computer Science
Human appearance is highly variable and depends on individual preferences, such as fashion, facial expression, and makeup. These preferences depend on many factors including a person's sense of style, what they are doing, and the weather. These factors, in turn, are dependent upon geographic location and time. In our work, we build computational models to learn the relationship between human appearance, geographic location, and time. The primary contributions are a framework for collecting and processing geotagged imagery of people, a large dataset collected by our framework, and several generative and discriminative models that use our dataset to learn the relationship …
Crowd-Sourcing The Smart City: Using Big Geosocial Media Metrics In Urban Governance, Matthew Zook
Crowd-Sourcing The Smart City: Using Big Geosocial Media Metrics In Urban Governance, Matthew Zook
Geography Faculty Publications
Using Big Data to better understand urban questions is an exciting field with challenging methodological and theoretical problems. It is also, however, potentially troubling when Big Data (particularly derived from social media) is applied uncritically to urban governance via the ideas and practices of “smart cities”. This essay reviews both the historical depth of central ideas within smart city governance —particular the idea that enough data/information/knowledge can solve society problems—but also the ways that the most recent version differs. Namely, that the motivations and ideological underpinning behind the goal of urban betterment is largely driven by technology advocates and neoliberalism …
Ten Simple Rules For Responsible Big Data Research, Matthew Zook, Solon Barocas, Danah Boyd, Kate Crawford, Emily Keller, Seeta Peña Gangadharan, Alyssa Goodman, Rachelle Hollander, Barbara A. Koenig, Jacob Metcalf, Arvind Narayanan, Alondra Nelson, Frank Pasquale
Ten Simple Rules For Responsible Big Data Research, Matthew Zook, Solon Barocas, Danah Boyd, Kate Crawford, Emily Keller, Seeta Peña Gangadharan, Alyssa Goodman, Rachelle Hollander, Barbara A. Koenig, Jacob Metcalf, Arvind Narayanan, Alondra Nelson, Frank Pasquale
Geography Faculty Publications
No abstract provided.
Affect And Value In Critical Examinations Of The Production And ‘Prosumption’ Of Big Data, Daniel G. Cockayne
Affect And Value In Critical Examinations Of The Production And ‘Prosumption’ Of Big Data, Daniel G. Cockayne
Geography Faculty Publications
In this paper I explore the relationship between the production and the value of Big Data. In particular I examine the concept of social media ‘prosumption’—which has predominantly been theorized from a Marxist, political economic perspective—to consider what other forms of value Big Data have, imbricated with their often speculative economic value. I take the example of social media firms in their early stages of operation to suggest that, since these firms do not necessarily generate revenue, data collected through user contributions do not always realize economic value, at least in a Marxist sense, and that, in addition to their …
Introduction: Spatial Big Data And Everyday Life, Agnieszka Leszczynski, Jeremy Crampton
Introduction: Spatial Big Data And Everyday Life, Agnieszka Leszczynski, Jeremy Crampton
Geography Faculty Publications
Spatial Big Data—be this natively geocoded content, geographical metadata, or data that itself refers to spaces and places—has become a pervasive presence in the spaces and practices of everyday life. Beyond preoccupations with “the geotag” and with mapping geocoded social media content, this special theme explores what it means to encounter and experience spatial Big Data as a quotidian phenomenon that is both spatial, characterized by and enacting of material spatialities, and spatializing, configuring relations between subjects, objects, and spaces in new and unprecedented ways.