#SupportTheCause: Identifying Motivations to Participate in Online Health Campaigns

Dong-Phuong Nguyen; Tijs Adriaan van den Broek; C. Hauff; Djoerd Hiemstra; Michel Léon Ehrenhard

#SupportTheCause: Identifying Motivations to Participate in Online Health Campaigns

Dong-Phuong Nguyen, Tijs Adriaan van den Broek, C. Hauff, Djoerd Hiemstra, Michel Léon Ehrenhard

Databases (Former)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

8 Citations (Scopus)

120 Downloads (Pure)

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.

Original language	Undefined
Title of host publication	Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, EMNLP 2015
Place of Publication	New York, USA
Publisher	Association for Computational Linguistics (ACL)
Pages	2570-2576
Number of pages	7
ISBN (Print)	978-1-941643-32-7
Publication status	Published - Sept 2015
Event	Conference on Empirical Methods in Natural Language Processing 2015 - Lisbon, Portugal Duration: 17 Sept 2015 → 21 Sept 2015 http://www.emnlp2015.org/

Publication series

Name
Publisher	Association for Computational Linguistics

Conference

Conference	Conference on Empirical Methods in Natural Language Processing 2015
Abbreviated title	EMNLP 2015
Country/Territory	Portugal
City	Lisbon
Period	17/09/15 → 21/09/15
Internet address	http://www.emnlp2015.org/

Keywords

EWI-26676
health campaignmotivationMovemberTwittercomputational linguisticscomputational social science
health campaign
Twitter
METIS-315151
Computational Linguistics
Motivation
Movember
IR-99122
computational social science

Access to Document

http://www.aclweb.org/anthology/D15-1308

Cite this

Nguyen, D.-P., van den Broek, T. A., Hauff, C., Hiemstra, D., & Ehrenhard, M. L. (2015). #SupportTheCause: Identifying Motivations to Participate in Online Health Campaigns. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, EMNLP 2015 (pp. 2570-2576). Association for Computational Linguistics (ACL). http://www.aclweb.org/anthology/D15-1308

@inproceedings{2e78282582b64fbe8922762ddba1a39f,

title = "#SupportTheCause: Identifying Motivations to Participate in Online Health Campaigns",

abstract = "We consider the task of automatically identifying participants{\textquoteright} 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.",

keywords = "EWI-26676, health campaignmotivationMovemberTwittercomputational linguisticscomputational social science, health campaign, Twitter, METIS-315151, Computational Linguistics, Motivation, Movember, IR-99122, computational social science",

author = "Dong-Phuong Nguyen and {van den Broek}, {Tijs Adriaan} and C. Hauff and Djoerd Hiemstra and Ehrenhard, {Michel L{\'e}on}",

note = "eemcs-eprint-26676 ; Conference on Empirical Methods in Natural Language Processing 2015 ; Conference date: 17-09-2015 Through 21-09-2015",

year = "2015",

month = sep,

language = "Undefined",

isbn = "978-1-941643-32-7",

publisher = "Association for Computational Linguistics (ACL)",

pages = "2570--2576",

booktitle = "Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, EMNLP 2015",

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}

Nguyen, D-P, van den Broek, TA, Hauff, C, Hiemstra, D & Ehrenhard, ML 2015, #SupportTheCause: Identifying Motivations to Participate in Online Health Campaigns. in Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, EMNLP 2015. Association for Computational Linguistics (ACL), New York, USA, pp. 2570-2576, Conference on Empirical Methods in Natural Language Processing 2015, Lisbon, Portugal, 17/09/15. <http://www.aclweb.org/anthology/D15-1308>

#SupportTheCause: Identifying Motivations to Participate in Online Health Campaigns. / Nguyen, Dong-Phuong; van den Broek, Tijs Adriaan; Hauff, C. et al.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, EMNLP 2015. New York, USA: Association for Computational Linguistics (ACL), 2015. p. 2570-2576.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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