| Literature DB >> 25954470 |
Shaodian Zhang1, Erin Bantum2, Jason Owen3, Noémie Elhadad1.
Abstract
A large number of patients rely on online health communities to exchange information and psychosocial support with their peers. Examining participation in a community and its impact on members' behaviors and attitudes is one of the key open research questions in the field of study of online health communities. In this paper, we focus on a large public breast cancer community and conduct sentiment analysis on all its posts. We investigate the impact of different factors on post sentiment, such as time since joining the community, posting activity, age of members, and cancer stage of members. We find that there is a significant increase in sentiment of posts through time, with different patterns of sentiment trends for initial posts in threads and reply posts. Factors each play a role; for instance stage-IV members form a particular sub-community with patterns of sentiment and usage distinct from others members.Entities:
Mesh:
Year: 2014 PMID: 25954470 PMCID: PMC4419987
Source DB: PubMed Journal: AMIA Annu Symp Proc ISSN: 1559-4076