Collective smile: Measuring societal happiness from geolocated images

Saeed Abdullah, Elizabeth L. Murnane, Jean M.R. Costa, Tanzeem Choudhury

Research output: Chapter in Book/Report/Conference proceedingConference contribution

29 Scopus citations

Abstract

The increasing adoption of social media provides unprecedented opportunities to gain insight into human nature at vastly broader scales. Regarding the study of populationwide sentiment, prior research commonly focuses on textbased analyses and ignores a treasure trove of sentimentladen content: images. In this paper, we make methodological and computational contributions by introducing the Smile Index as a formalized measure of societal happiness. Detecting smiles in 9 million geo-located tweets over 16 months, we validate our Smile Index against both text-based techniques and self-reported happiness. We further make observational contributions by applying our metric to explore temporal trends in sentiment, relate public mood to societal events, and predict economic indicators. Reflecting upon the innate, language-independent aspects of facial expressions, we recommend future improvements and applications to enable robust, global-level analyses. We conclude with implications for researchers studying and facilitating the expression of collective emotion through socio-Technical systems.

Original languageEnglish (US)
Title of host publicationCSCW 2015 - Proceedings of the 2015 ACM International Conference on Computer-Supported Cooperative Work and Social Computing
PublisherAssociation for Computing Machinery, Inc
Pages361-374
Number of pages14
ISBN (Electronic)9781450329224
DOIs
StatePublished - Feb 28 2015
Event18th ACM International Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2015 - BC, Canada
Duration: Mar 14 2015Mar 18 2015

Publication series

NameCSCW 2015 - Proceedings of the 2015 ACM International Conference on Computer-Supported Cooperative Work and Social Computing

Other

Other18th ACM International Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2015
CountryCanada
CityBC
Period3/14/153/18/15

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All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Cite this

Abdullah, S., Murnane, E. L., Costa, J. M. R., & Choudhury, T. (2015). Collective smile: Measuring societal happiness from geolocated images. In CSCW 2015 - Proceedings of the 2015 ACM International Conference on Computer-Supported Cooperative Work and Social Computing (pp. 361-374). (CSCW 2015 - Proceedings of the 2015 ACM International Conference on Computer-Supported Cooperative Work and Social Computing). Association for Computing Machinery, Inc. https://doi.org/10.1145/2675133.2675186