@inproceedings{630ad35a5af14e03be4bfe1b7b4af85f,
title = "The impacts of patients' sentiment trajectory features on their willingness to share in online support groups",
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.",
keywords = "Behavioral Analysis, Online Support Groups, Patient Engagement, Sentiment Analysis, Sentiment Trajectory, Text Mining",
author = "Lin, {Yu Wei} and Ahsen, {Mehmet Eren} and Shaw, {Michael J.} and Sridhar Seshadri",
note = "Publisher Copyright: {\textcopyright} 40th International Conference on Information Systems, ICIS 2019. All rights reserved.; 40th International Conference on Information Systems, ICIS 2019 ; Conference date: 15-12-2019 Through 18-12-2019",
year = "2019",
language = "English (US)",
series = "40th International Conference on Information Systems, ICIS 2019",
publisher = "Association for Information Systems",
booktitle = "40th International Conference on Information Systems, ICIS 2019",
}