Using topic models to measure social psychological characteristics in online social media

Ian Wood*

*Corresponding author for this work

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

    3 Citations (Scopus)

    Abstract

    Despite a growing body of research into computational models of social psychological processes, direct empirical grounding for these models remains an elusive goal. This is largely due to the difficulty of measuring modelled characteristics of social groups. This paper presents a methodology combining supervised topic models with traditional psycho-linguistic research as a first step towards such a goal. The method is applied to a collection of over a million tweets from the Twitter ‘pro-anorexia’ community.

    Original languageEnglish
    Title of host publicationSocial Computing, Behavioral-Cultural Modeling, and Prediction - 8th International Conference, SBP 2015, Proceedings
    EditorsKevin Xu, Nitin Agarwal, Nathaniel Osgood
    PublisherSpringer Verlag
    Pages308-313
    Number of pages6
    ISBN (Electronic)9783319162676
    DOIs
    Publication statusPublished - 2015
    Event8th International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction, SBP 2015 - Washington, United States
    Duration: 31 Mar 20153 Apr 2015

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume9021
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference8th International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction, SBP 2015
    Country/TerritoryUnited States
    CityWashington
    Period31/03/153/04/15

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