@inproceedings{6e9f1b50574840cfaecb401f0861a806,
title = "LookingGlass: A visual intelligence platform for tracking online social movements",
abstract = "We propose a multi-scale text mining methodology and develop a visual intelligence platform for tracking the diffusion of online social movements. The algorithms utilize large amounts of text collected from a wide variety of organizations' media outlets to discover their hotly debated topics, and their discriminative perspectives voiced by opposing camps organized into multiple scales. We utilize discriminating perspectives to classify and map individual Tweeter's message content to social movements based on the perspectives expressed in their weekly tweets. We developed a visual intelligence platform, named LookingGlass, to track the geographical footprint, shifting positions and flows of individuals, topics and perspectives between groups.",
keywords = "Multi-scaling, Social movements, Text mining",
author = "Nyunsu Kim and Sedat Gokalp and Hasan Davulcu and Mark Woodward",
year = "2013",
doi = "10.1145/2492517.2500275",
language = "English (US)",
isbn = "9781450322409",
series = "Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013",
publisher = "Association for Computing Machinery",
pages = "1020--1027",
booktitle = "Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013",
note = "2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013 ; Conference date: 25-08-2013 Through 28-08-2013",
}