Dissecting twitter discussion threads with topic-aware network visualization

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Scopus citations

    Abstract

    Twitter is the archetype of social networks designed for information exchange and discussion among users with similar interests and passions. Twitter prompts users to disseminate a new topic and get involved in forming opinions around it. It is always of interest how and why some tweets get more attention and involve more users, especially in the case of social issues and political debates. In this paper, we use an attention-based deep learning model to extract the topics of discussion on Twitter. Then, we reconstruct the network of discussion threads to visualize a topic-aware network of discussions. The proposed method yields the amount of attention given by users to different topics over time. As a case study, we applied our analyses to discussion threads around tweets by President Donald Trump during 9 months. Such analyses help us to understand how much each topic triggers discussions, how the topics are interrelated, and how opinions form around the tweets.

    Original languageEnglish
    Title of host publicationProceedings - 6th Annual Conference on Computational Science and Computational Intelligence, CSCI 2019
    Pages1359-1364
    Number of pages6
    ISBN (Electronic)9781728155845
    DOIs
    StatePublished - Dec 2019
    Event6th Annual International Conference on Computational Science and Computational Intelligence, CSCI 2019 - Las Vegas, United States
    Duration: 5 Dec 20197 Dec 2019

    Publication series

    NameProceedings - 6th Annual Conference on Computational Science and Computational Intelligence, CSCI 2019

    Conference

    Conference6th Annual International Conference on Computational Science and Computational Intelligence, CSCI 2019
    Country/TerritoryUnited States
    CityLas Vegas
    Period5/12/197/12/19

    Keywords

    • Deep learning
    • Network visualization
    • Opinion mining
    • Topic extraction
    • Topic-aware

    Fingerprint

    Dive into the research topics of 'Dissecting twitter discussion threads with topic-aware network visualization'. Together they form a unique fingerprint.

    Cite this