DocumentCode :
1791782
Title :
The exceptional and the everyday: 144 Hours in Kiev
Author :
Manovich, Lev ; Tifentale, Alise ; Yazdani, Mojtaba ; Chow, Joe
Author_Institution :
Grad. Center, City Univ. of New York, New York, NY, USA
fYear :
2014
fDate :
27-30 Oct. 2014
Firstpage :
72
Lastpage :
79
Abstract :
How can we use computational analysis and visualization of content and interactions on social media network to write histories? Traditionally, historical timelines of social and political upheavals give us only distant views of the events, and singular interpretation of a person constructing the timeline. However, using social media as our source, we can potentially present many thousands of individual views of the events. We can also include representation of the everyday life next to the accounts of the exceptional events. This paper explores these ideas using a particular case study - images shared by people in Kiev on Instagram during 2014 Ukranian Revolution. Using Instagram public API we collected 13208 geo-coded images shared by 6165 Instagram users in the central part of Kiev during February 17-22, 2014. We used open source and our own custom software tools to analyze the images along with upload dates and times, geo locations, and tags, and visualize them in different ways.
Keywords :
application program interfaces; data analysis; data visualisation; public domain software; social networking (online); social sciences computing; 2014 Ukranian Revolution; Instagram public API; Kiev; computational analysis; content visualization; geo-coded images; histories; image analysis; open source software tools; social media network; Cities and towns; Data visualization; Facebook; Government; Media; Twitter; Visualization; Instagram; digital humanities; photography; social media; social movements;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Big Data (Big Data), 2014 IEEE International Conference on
Conference_Location :
Washington, DC
Type :
conf
DOI :
10.1109/BigData.2014.7004456
Filename :
7004456
Link To Document :
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