Modelling Political Disaffection from Twitter Data

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

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    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.
    Original languageEnglish
    Title of host publicationProceedings of the Second International Workshop on Issues of Sentiment Discovery and Opinion Mining. WISDOM '13
    EditorsErik Cambria , Bing Liu , Yongzheng Zhang, Yunqing Xia
    Number of pages9
    Place of PublicationNew York
    PublisherAssociation for Computing Machinery
    Publication date2013
    ChapterArticle no. 3
    ISBN (Print)9781450323321
    DOIs
    Publication statusPublished - 2013
    EventThe 2nd International Workshop on Issues of Sentiment Discovery and Opinion Mining. Wisdom '13 - Chicago, IL, United States
    Duration: 11 Aug 201311 Aug 2013
    Conference number: 2
    http://sentic.net/wisdom/

    Workshop

    WorkshopThe 2nd International Workshop on Issues of Sentiment Discovery and Opinion Mining. Wisdom '13
    Number2
    CountryUnited States
    CityChicago, IL
    Period11/08/201311/08/2013
    OtherHeld 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/>
    Internet address

    Cite this

    Monti, C., Rozza , A., Zappella, G., Zignani, M., Arvidsson, A., & Colleoni, E. (2013). Modelling Political Disaffection from Twitter Data. In E. Cambria , B. Liu , Y. Zhang, & Y. Xia (Eds.), 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