Authors:
Amit Saha
1
and
Nitin Agarwal
2
Affiliations:
1
University of Arkansas Medical Science, United States
;
2
University of Arkansas at Little Rock, United States
Keyword(s):
Autism, Stress, Twitter, Blogger, Community, Social Support, Health 2.0, Social Media.
Related
Ontology
Subjects/Areas/Topics:
Affective Computing
;
Artificial Intelligence
;
Biomedical Engineering
;
Business Analytics
;
Cognitive Informatics
;
Data Engineering
;
Data Mining
;
Databases and Information Systems Integration
;
Datamining
;
Enterprise Information Systems
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Management
;
Ontologies and the Semantic Web
;
Practice-based Research Methods for Healthcare IT
;
Sensor Networks
;
Signal Processing
;
Society, e-Business and e-Government
;
Soft Computing
;
Web Information Systems and Technologies
Abstract:
Nowadays online social media is used extensively by families dealing with various health issues, such as autism, diabetes, obesity, etc., to share experiences with other members of the community. The interaction between members of health community can be systematically analyzed to build a knowledge base for others who are dealing with the same health conditions. In this study, we analyze one such health community, i.e., the autism community and evaluate stress dispersed among the community members using social network analysis along with sentiment analysis methodology. We found that the autism blogger community provides nominal stress during the interaction with other community members. Differences across various classified groups like autistic bloggers, mother bloggers with autistic kids, father bloggers with autistic kids, and autism support group blogs in different social media platforms (blogs and Twitter) were analyzed in context of stress. Families dealing with autism have a be
tter quality of life with reduced stress by interacting with fellow autism community members in social media.
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