Quotation Lindner, Andreas, Hall, Margeret, Niemeyer, Claudia, Caton, Simon. 2015. BeWell: A Sentiment Aggregator for Proactive Community Management. In CHI EA '15, Hrsg. Bo Begole, Jinwoo Kim, Kori Inkpen, Woontack Woo, 1055-1060. Seoul Republic of Korea: ACM Press.




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.


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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Contribution to conference proceedings
Language English
Title BeWell: A Sentiment Aggregator for Proactive Community Management
Title of whole publication CHI EA '15
Editor Bo Begole, Jinwoo Kim, Kori Inkpen, Woontack Woo
Page from 1055
Page to 1060
Location Seoul Republic of Korea
Publisher ACM Press
Year 2015
ISBN 9781450331463
URL https://dl.acm.org/doi/10.1145/2702613.2732787
Open Access N


Hall, Margeret (Details)
Caton, Simon (Karlsruhe Institute of Technology, Germany)
Lindner, Andreas (Karlsruhe Institute of Technology, Germany)
Niemeyer, Claudia (Karlsruhe Institute of Technology, Germany)
Institute for Cognition & Behavior IN (Details)
Research areas (Ă–STAT Classification 'Statistik Austria')
1127 Information science (Details)
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