TY - GEN
T1 - BeWell
T2 - 33rd Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2015
AU - Lindner, Andreas
AU - Hall, Margeret
AU - Niemeyer, Claudia
AU - Caton, Simon
PY - 2015/4/18
Y1 - 2015/4/18
N2 - 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. Copyright is held by the author/owner(s).
AB - 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. Copyright is held by the author/owner(s).
KW - Human-computer Interaction
KW - Sentiment analysis
KW - Social computing
KW - Text analytics
KW - Well-being
UR - http://www.scopus.com/inward/record.url?scp=84954237314&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84954237314&partnerID=8YFLogxK
U2 - 10.1145/2702613.2732787
DO - 10.1145/2702613.2732787
M3 - Conference contribution
AN - SCOPUS:84954237314
T3 - Conference on Human Factors in Computing Systems - Proceedings
SP - 1055
EP - 1060
BT - CHI 2015 - Extended Abstracts Publication of the 33rd Annual CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
Y2 - 18 April 2015 through 23 April 2015
ER -