Andreas Lindner
ABSTRACT
Granular, localized information can be unobtrusively gathered to assess public sentiment as a superior measure of policy impact. This information is already abundant and available via Online Social Media. The missing link is a rigorous, anonymized and open source artefact that gives feedback to stakeholders and constituents. To address this, BeWell, an unobtrusive, low latency multi-resolution measurement for the observation, analysis and modelling of community dynamics, is proposed. To assess communal well-being, 42 Facebook pages of a large public university in Germany are analyzed with a dictionary-based text analytics program, LIWC. We establish the baseline of emotive discourse across the sample, and detect significant campus-wide events in this proof of concept implementation, then discuss future iterations including a community dashboard and a participatory management plan.
- Bhutan, K. of. Gross National Happiness Index Explained in Detail. Thimphu, Bhutan, 2012.Google Scholar
- Boulianne, S. Does Internet Use Affect Engagement? A Meta-Analysis of Research. Political Communication 26, 2 (2009), 193--211.Google Scholar
- Brandt, M. Nicht mehr exzellent. Deutschlandfunk, 2013, 2. http://www.deutschlandfunk.de/nicht?mehr?exzellent.680.de.html?dram:article_id=240282.Google Scholar
- Chung, C.K. and Pennebaker, J.W. Counting little words in Big Data: The Psychology of Communities, Culture, and History. In J. Forgas, O. Vincze and J. Laszlo, eds., Social Cognition and Communication. Psychology Press, New York, New York, USA, 2014, 25--42.Google Scholar
- Escher, T. Mobilisierung zu politischer Partizipation durchdas Internet. Erwartungen, Erkenntnisse undHerausforderungen der Forschung. Analyse und Kritik 2, (2013), 449--476.Google ScholarCross Ref
- Frey, B.S. and Stutzer, A. Happiness and Economics: How the Economy and Institutions Affect Human Well-Being. Princeton UP, Princeton, NJ, 2001.Google Scholar
- Friedman, B., Kahn Jr., P.H., and Borning, A. Value Sensitive Design and Information Systems. In K.E. Kima and H.T. Tavani, eds., The Handbook of Information and Computer Ethics. Wiley, Hoboken, NJ, 2003, 69--102.Google Scholar
- Hall, M., Glanz, S., Caton, S., and Weinhardt, C. Measuring Your Best You: A Gamification Framework for Well-being Measurement. Third International Conference on Social Computing and its Applications, IEEE (2013), 277--282. Google ScholarDigital Library
- Lin, H. and Qiu, L. Two Sites, Two Voices: Linguistic Differences between Facebook Status Updates and Tweets. CCD/HCII 2013 Part II, LNCS 8024 (2013), 432--440.Google Scholar
- Stiglitz, J., Sen, A., and Fitoussi, J.-P. Report by the Commission on the Measurement of Economic Performance and Social Progress. SSRN Electronic Journal, (2009).Google Scholar
- Tausczik, Y.R. and Pennebaker, J.W. The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods. Journal of Language and Social Psychology 29, 1 (2010), 24--54.Google Scholar
- Wolf, M., Horn, A.B., Mehl, M.R., Haug, S., Pennebaker, J.W., and Kordy, H. Computergestützte quantitative Textanalyse. Diagnostica 54, 2 (2008), 85--98.Google ScholarCross Ref
Index Terms
- BeWell: A Sentiment Aggregator for Proactive Community Management
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