Modelling Political Disaffection from Twitter Data

Corrado Monti, Alessandro Rozza , Giovanni Zappella, Matteo Zignani, Adam Arvidsson, Elanor Colleoni

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review

    Abstrakt

    Twitter is one of the most popular micro-blogging services in the
    world, often studied in the context of political opinion mining for
    its peculiar nature of online public discussion platform. In our work
    we analyse the phenomenon of political disaffection defined as the
    “lack of confidence in the political process, politicians, and democratic
    institutions, but with no questioning of the political regime”.
    Disaffection for organised political parties and institutions has been object of studies and media attention in several Western countries. Especially the Italian case has shown a wide diffusion of this attitude. For this reason, we collect a massive database of Italian Twitter data (about 35 millions of tweets from April 2012 to October 2012) and we exploit scalable state-of-the-art machine learning techniques to generate time-series concerning the political disaffection discourse.
    In order to validate the quality of the time-series generated, we compare them with indicators of political disaffection from public opinion surveys. We find political disaffection on Twitter to be highly correlated with the indicators of political disaffection in the public opinion surveys. Moreover, we show the peaks in the timeseries are often generated by external political events reported on the main newspapers.
    OriginalsprogEngelsk
    TitelProceedings of the Second International Workshop on Issues of Sentiment Discovery and Opinion Mining. WISDOM '13
    RedaktørerErik Cambria , Bing Liu , Yongzheng Zhang, Yunqing Xia
    Antal sider9
    Udgivelses stedNew York
    ForlagAssociation for Computing Machinery
    Publikationsdato2013
    KapitelArticle no. 3
    ISBN (Trykt)9781450323321
    DOI
    StatusUdgivet - 2013
    BegivenhedThe 2nd International Workshop on Issues of Sentiment Discovery and Opinion Mining. Wisdom '13 - Chicago, IL, USA
    Varighed: 11 aug. 201311 aug. 2013
    Konferencens nummer: 2
    http://sentic.net/wisdom/

    Workshop

    WorkshopThe 2nd International Workshop on Issues of Sentiment Discovery and Opinion Mining. Wisdom '13
    Nummer2
    LandUSA
    ByChicago, IL
    Periode11/08/201311/08/2013
    AndetHeld in connection to KDD'13 The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Chicago, IL, USA. August 11 - 14, 2013 <br/>
    Internetadresse

    Emneord

    • Political disaffection
    • Classification
    • Twitter
    • Sentiment Analysis

    Citationsformater

    Monti, C., Rozza , A., Zappella, G., Zignani, M., Arvidsson, A., & Colleoni, E. (2013). Modelling Political Disaffection from Twitter Data. I E. Cambria , B. Liu , Y. Zhang, & Y. Xia (red.), Proceedings of the Second International Workshop on Issues of Sentiment Discovery and Opinion Mining. WISDOM '13 Association for Computing Machinery. https://doi.org/10.1145/2502069.2502072