@inproceedings{17e75066955141778bb6d83f4b279348,
title = "\#SupportTheCause: Identifying motivations to participate in online health campaigns",
abstract = "We consider the task of automatically identifying participants' motivations in the public health campaign Movember and investigate the impact of the different motivations on the amount of campaign donations raised. Our classification scheme is based on the Social Identity Model of Collective Action (van Zomeren et al., 2008). We find that automatic classification based on Movember profiles is fairly accurate, while automatic classification based on tweets is challenging. Using our classifier, we find a strong relation between types of motivations and donations. Our study is a first step towards scaling-up collective action research methods.",
author = "Dong Nguyen and \{Van Den Broek\}, Tijs and Claudia Hauff and Djoerd Hiemstra and Michel Ehrenhard",
year = "2015",
month = jan,
day = "1",
language = "English",
series = "Conference Proceedings - EMNLP 2015: Conference on Empirical Methods in Natural Language Processing",
publisher = "Association for Computational Linguistics (ACL)",
pages = "2570--2576",
booktitle = "Conference Proceedings - EMNLP 2015",
note = "Conference on Empirical Methods in Natural Language Processing, EMNLP 2015 ; Conference date: 17-09-2015 Through 21-09-2015",
}