@inproceedings{ebb9bd544deb48ee80a9a81344b6aecd,
title = "Using topic models to measure social psychological characteristics in online social media",
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 {\textquoteleft}pro-anorexia{\textquoteright} community.",
keywords = "Empirical grounding, Methodology, Psycho linguistics, Social psychology, Text mining",
author = "Ian Wood",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 8th International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction, SBP 2015 ; Conference date: 31-03-2015 Through 03-04-2015",
year = "2015",
doi = "10.1007/978-3-319-16268-3_35",
language = "English",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "308--313",
editor = "Kevin Xu and Nitin Agarwal and Nathaniel Osgood",
booktitle = "Social Computing, Behavioral-Cultural Modeling, and Prediction - 8th International Conference, SBP 2015, Proceedings",
address = "Germany",
}