The impacts of patients' sentiment trajectory features on their willingness to share in online support groups

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

Abstract

In this study, we examined how patients' sentiment trajectory features, which can be thought as a proxy of a patients' satisfaction of the online support groups (OSGs), affect patients' engagement behaviors in OSGs. We first study the impact of patients' sentiment trajectories in online social networks on their willingness to share. Our results suggest that patients' sentiment positivity, stability, and dispersion positively affect patients' willingness to share. We next analyze what factors affect these three sentiment trajectory features. We found that patients' sentiment trajectory features can be influenced by (1) their online interactions and (2) their offline life events.

Original languageEnglish (US)
Title of host publication40th International Conference on Information Systems, ICIS 2019
PublisherAssociation for Information Systems
ISBN (Electronic)9780996683197
StatePublished - Jan 1 2020
Event40th International Conference on Information Systems, ICIS 2019 - Munich, Germany
Duration: Dec 15 2019Dec 18 2019

Publication series

Name40th International Conference on Information Systems, ICIS 2019

Conference

Conference40th International Conference on Information Systems, ICIS 2019
CountryGermany
CityMunich
Period12/15/1912/18/19

Keywords

  • Behavioral Analysis
  • Online Support Groups
  • Patient Engagement
  • Sentiment Analysis
  • Sentiment Trajectory
  • Text Mining

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems

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  • Cite this

    Lin, Y. W., Ahsen, M. E., Shaw, M. J., & Seshadri, S. (2020). The impacts of patients' sentiment trajectory features on their willingness to share in online support groups. In 40th International Conference on Information Systems, ICIS 2019 (40th International Conference on Information Systems, ICIS 2019). Association for Information Systems.