selfiecity

    February 17, 2013 by admin in Projects 0 comments
    Read my essay titled “Imagined Data Communities” as part of our Selfiecity project.   Selfiecity investigates selfies using a mix of theoretic, artistic and quantitative methods. We present our findings about the demographics of people taking selfies, their poses and expressions.  Rich media visualizations (imageplots) assemble thousands of photos to reveal interesting patterns.  The interactive selfiexploratory allows you to navigate the whole set of 3200 photos.  

    Visualizing #Banksy

    January 17, 2013 by admin in Projects 0 comments
    What does the street artist Banksy has to tell us about the relation between physical places and their social media representations? In the next ICWSM conference I will present a new project that theorizes Hyper-Locality on social media. Using the case study of  social media photos taken during the street artist Banksy month long residency in NYC during October 2013 we visualize, analyze and theorize how a place is exhibited and performed via social media visual data. The project was done in collaboration with Lev Manovich, and Mehrdad Yazdani. Here is the abstract of the paper, titled: On Hyper-locality: Performances of Place in Social Media: In this paper we theorize, visualize, and analyze the relation between physical places and their social me- dia representations, and describe the characteristics of hyper-locality in social media. While the term “hyper- local” has been recently used to describe social media that is produced in particular locations and time peri- ods, existing research has not raised important questions about representation and experience. How is the physi- cal place performed through social media data? How do we experience locality via social media platforms? Our work combines quantitative and qualitative analy- sis, and employs perspectives from the fields of […]

    Twitter Data Grant

    August 17, 2012 by admin in Projects 0 comments
    We’re excited to be among 6 international teams awarded Twitter Data Grants (Twitter #DataGrants selections)The project is titled “Do happy people take happy images? Measuring happiness of cities from tweeted Images”. Here is a short abstract of the research: Can visual characteristics of images shared on social media tell us about the “moods” of cities? We propose to study the relationship between features of tweeted images in a number of U.S. cities and existing measures of “happiness” estimated using traditional surveys and other data sources (such as health and well-being statistics). More details at: Calit2 news release, The Happiness of Cities: Do Happy People Take Happy Images?