research-article

LookingGlass: a visual intelligence platform for tracking online social movements

Authors:

Mark WoodwardAuthors Info & Claims

ASONAM '13: Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining

Pages 1020 - 1027

https://doi.org/10.1145/2492517.2500275

Published: 25 August 2013 Publication History

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.

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Cited By

Guo RShakarian PSubrahmanian VRokne JKumar RCaverlee JTong H(2016)A comparison of methods for cascade predictionProceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining10.5555/3192424.3192536(591-598)Online publication date: 18-Aug-2016
https://dl.acm.org/doi/10.5555/3192424.3192536
Pensa RSapino MSchifanella CVignaroli L(2016)Leveraging Cross-Domain Social Media Analytics to Understand TV Topics PopularityIEEE Computational Intelligence Magazine10.1109/MCI.2016.257251811:3(10-21)Online publication date: 1-Aug-2016
https://dl.acm.org/doi/10.1109/MCI.2016.2572518

Index Terms

LookingGlass: a visual intelligence platform for tracking online social movements
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Web-based interaction
2. Information systems
  1. Information retrieval
    1. Document representation
  2. Information systems applications
    1. Decision support systems
      1. Expert systems

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cover image ACM Conferences

ASONAM '13: Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining

August 2013

1558 pages

ISBN:9781450322409

DOI:10.1145/2492517

General Chairs:
Jon Rokne
University of Calgary, Calgary, AB, Canada
,
Christos Faloutsos
Carnegie Mellon University, Pittsburgh, PA

Copyright © 2013 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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New York, NY, United States

Publication History

Published: 25 August 2013

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U.S. Department of Defense

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ASONAM '13

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SIGKDD

ASONAM '13: Advances in Social Networks Analysis and Mining 2013

August 25 - 28, 2013

Ontario, Niagara, Canada

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Cited By

Guo RShakarian PSubrahmanian VRokne JKumar RCaverlee JTong H(2016)A comparison of methods for cascade predictionProceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining10.5555/3192424.3192536(591-598)Online publication date: 18-Aug-2016
https://dl.acm.org/doi/10.5555/3192424.3192536
Pensa RSapino MSchifanella CVignaroli L(2016)Leveraging Cross-Domain Social Media Analytics to Understand TV Topics PopularityIEEE Computational Intelligence Magazine10.1109/MCI.2016.257251811:3(10-21)Online publication date: 1-Aug-2016
https://dl.acm.org/doi/10.1109/MCI.2016.2572518

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