Applying traditional signal processing techniques to social media exploitation for situational understanding

Tarek Abdelzaher, Heather Roy, Shiguang Wang, Prasanna Giridhar, Md Tanvir Al Amin, Elizabeth K. Bowman, Michael A. Kolodny

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Signal processing techniques such as filtering, detection, estimation and frequency domain analysis have long been applied to extract information from noisy sensor data. This paper describes the exploitation of these signal processing techniques to extract information from social networks, such as Twitter and Instagram. Specifically, we view social networks as noisy sensors that report events in the physical world. We then present a data processing stack for detection, localization, tracking, and veracity analysis of reported events using social network data. We show using a controlled experiment that the behavior of social sources as information relays varies dramatically depending on context. In benign contexts, there is general agreement on events, whereas in conflict scenarios, a significant amount of collective filtering is introduced by conflicted groups, creating a large data distortion. We describe signal processing techniques that mitigate such distortion, resulting in meaningful approximations of actual ground truth, given noisy reported observations. Finally, we briefly present an implementation of the aforementioned social network data processing stack in a sensor network analysis toolkit, called Apollo. Experiences with Apollo show that our techniques are successful at identifying and tracking credible events in the physical world.

Original languageEnglish (US)
Title of host publicationGround/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VII
EditorsMichael A. Kolodny, Tien Pham
PublisherSPIE
ISBN (Electronic)9781510600720
DOIs
StatePublished - Jan 1 2016
EventGround/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VII - Baltimore, United States
Duration: Apr 18 2016Apr 20 2016

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9831
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Other

OtherGround/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VII
CountryUnited States
CityBaltimore
Period4/18/164/20/16

Keywords

  • Social networks
  • signal processing.

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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  • Cite this

    Abdelzaher, T., Roy, H., Wang, S., Giridhar, P., Al Amin, M. T., Bowman, E. K., & Kolodny, M. A. (2016). Applying traditional signal processing techniques to social media exploitation for situational understanding. In M. A. Kolodny, & T. Pham (Eds.), Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VII [98310R] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 9831). SPIE. https://doi.org/10.1117/12.2229723