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A Semi-automatic Method to Retrieve Twitter Accounts

Author

Listed:
  • Nocca Florence

    (Sciences Po, Paris, CEE, 28 rue des Saints Pères, 75007 Paris, France)

Abstract
Although Twitter has become a major source of data, research still relies on heavy manual searches to find the accounts of a population of interest, such as members of Parliament, members of an association or candidates to an election. In this article, we propose a method to semi-automatically retrieve those accounts. After creating a pool of possible accounts through automatic web searches, we select a unique account for each member of a defined group. To do so, we use a simplified version of the minimax regret approach, on a score based on the account’s handle and the tweets’ content. We test this method to find the accounts of the candidates for the 2015 Spanish general elections and the members of the 57th House of Commons in the United Kingdom.

Suggested Citation

  • Nocca Florence, 2017. "A Semi-automatic Method to Retrieve Twitter Accounts," Statistics, Politics and Policy, De Gruyter, vol. 8(2), pages 139-151, December.
    • Handle: RePEc:bpj:statpp:v:8:y:2017:i:2:p:139-151:n:3
    DOI: 10.1515/spp-2017-0011
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    References listed on IDEAS

    as
    1. Jennifer Golbeck & Justin M. Grimes & Anthony Rogers, 2010. "Twitter use by the U.S. Congress," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(8), pages 1612-1621, August.
    2. Jennifer Golbeck & Justin M. Grimes & Anthony Rogers, 2010. "Twitter use by the U.S. Congress," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(8), pages 1612-1621, August.
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