Lessons in Social Election Monitoring

Smyth, Thomas N., Meng, Amanda, Moreno, Andrés, Best, Michael L. and Zegura, Ellen W., "Lessons in Social Election Monitoring" 8th International Conference on Information and Communication Technologies and Development, ICTD 2016, Ann Arbor, 2016/06/03-06.

Document type:
Conference Publication

  • Sub-type Conference paper
    Author Smyth, Thomas N.
    Meng, Amanda
    Moreno, Andrés
    Best, Michael L.
    Zegura, Ellen W.
    Title Lessons in Social Election Monitoring
    Event Series International Conference on Information and Communication Technologies and Development
    Publication Date 2016-06-03
    Place of Publication Ann Arbor
    Publisher Association for Computing Machinery
    Pages 999
    Title of Event 8th International Conference on Information and Communication Technologies and Development, ICTD 2016
    Date of Event 2016/06/03-06
    Place of Event Ann Arbor
    Language eng
    Abstract Since 2011, our research group, along with numerous local partners, has been building a platform and methodology for monitoring elections using social media. Historically, election monitoring has traditionally been the domain of trained monitors provided by international monitoring groups. But monitoring by domestic groups with fewer resources has been a growing phenomenon, supported in part by the availability of inexpensive digital technologies such as SMS. Social media represents a further, exciting step in this trend. We describe our five years of experience in this endeavor and report a series of key lessons learned. These lessons touch on issues such as source types and curation, collaboration with other election-related groups, human vs. automated analysis, varying stakeholder needs, and the value of falsification. We also share our vision for the next five years of this research.
    Keyword Civic participation
    Civic technology
    Election monitoring
    Lessons learned
    Copyright Holder Association for Computing Machinery
    Copyright Year 2016
    Copyright type All rights reserved
    ISBN 9781450343060
    DOI 10.1145/2909609.2909640
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    Created: Wed, 30 Nov 2016, 13:06:15 JST by Marcovecchio, Ignacio on behalf of UNU CS