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Changing the Subject: Dynamic Discussion Monitoring in Twitter

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Book cover Metadata and Semantic Research (MTSR 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1057))

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Abstract

In recent years, Twitter has become increasingly popular both as a social networking service (where users express their opinions) and as a tool for information retrieval. Many events that are commented, debated or argued online, however, are dynamic and unpredictable in nature, resulting in the need to derive the corresponding dynamic computational methodologies to track and to extract such changing topics, events and relevant content in a timely and unattended manner. In this paper, we propose a framework to accomplish two objectives: periodically obtaining the relevant topics of discussion among authorities and adapting the tracked keywords or hashtags accordingly to retrieve the most relevant possible information in each time window. The application of this framework to a case study reveals how our proposed approach is able to accurately and dynamically track the conversation around an event. Our method could therefore be applied to query Twitter in many domains, such as politics, sport events, marketing campaigns or media engagement, among others.

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Notes

  1. 1.

    https://wearesocial.com/global-digital-report-2019.

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Authors and Affiliations

  1. University of Alcalá, Alcalá de Henares, Madrid, Spain

    Marçal Mora-Cantallops & Salvador Sánchez-Alonso

Authors
  1. Marçal Mora-Cantallops
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  2. Salvador Sánchez-Alonso
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Correspondence to Marçal Mora-Cantallops .

Editor information

Editors and Affiliations

  1. International Hellenic University, Thessaloniki, Greece

    Emmanouel Garoufallou

  2. Guglielmo Marconi University, Rome, Italy

    Francesca Fallucchi

  3. Georg Eckert Institute – Leibniz Institute for International Textbook Research, Braunschweig, Germany

    Ernesto William De Luca

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Mora-Cantallops, M., Sánchez-Alonso, S. (2019). Changing the Subject: Dynamic Discussion Monitoring in Twitter. In: Garoufallou, E., Fallucchi, F., William De Luca, E. (eds) Metadata and Semantic Research. MTSR 2019. Communications in Computer and Information Science, vol 1057. Springer, Cham. https://doi.org/10.1007/978-3-030-36599-8_14

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  • DOI: https://doi.org/10.1007/978-3-030-36599-8_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-36598-1

  • Online ISBN: 978-3-030-36599-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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