{"id":29,"date":"2020-11-09T23:03:11","date_gmt":"2020-11-09T23:03:11","guid":{"rendered":"https:\/\/classprojects.digitalwcu.org\/bleue_deux\/?page_id=29"},"modified":"2020-11-30T19:10:36","modified_gmt":"2020-11-30T19:10:36","slug":"overview","status":"publish","type":"page","link":"https:\/\/classprojects.digitalwcu.org\/bleue_deux\/overview\/","title":{"rendered":"Overview."},"content":{"rendered":"\n

Selfiecity<\/span><\/a> investigates the style of self-portraits through a mix of theoretic, artistic, and quantitative\/qualitative methods in five cities across the world and presents the results in a theoretical and artistic way. These cities include Bangkok, Berlin, Moscow, New York, & Sao Paulo. <\/p>\n\n\n\n

This project started with a group of eight people<\/span><\/a> lead by Lev Manovich<\/span><\/a> from City University of New York<\/span><\/a>. The project was made within a week during December 4th-12th of 2014. <\/p>\n\n\n\n

They present their findings about the demographics of people taking selfies, their poses and expressions. Rich media visualizations called imageplots<\/span><\/a> assemble thousands of photos to reveal interesting patterns. They call their interactive portion of the website the “selfiexploratory<\/span><\/a>” which allows you to navigate the whole set of 3200 photos. They also include theoretical essays that discuss selfies in the history of photography, the functions of images in social media, and methods and dataset<\/span><\/a>. <\/p>\n\n\n\n

They sample and look for things like gender and age profiles per city, smile distributions by gender and city, and poses.<\/p>\n\n\n\n

\"\"<\/figure><\/div>\n\n\n\n

Findings\/Significance <\/h2>\n\n\n\n

This project is based on a unique dataset they compiled by analyzing tens of thousands of images from each city, bot through automatic image analysis and human judgement.<\/span><\/a><\/p>\n\n\n\n

Main findings:<\/strong><\/p>\n\n\n\n

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  1. People take less selfies than often assumed. <\/li>
  2. They found that there a significantly more women selfies than men selfies. <\/li>
  3. Most people in the selfies are pretty young (estimated average age of 23.7). <\/li>
  4. Bangkok and Sao Paulo has the most smiling faces and Moscow smiles the least. <\/li>
  5. Women strike more extreme poses and have more expression (especially in Sao Paulo). <\/li><\/ol>\n<\/div><\/div>\n\n\n\n

    How They Did It <\/h2>\n\n\n\n