ERIC Number: EJ1170364
Record Type: Journal
Publication Date: 2018
Pages: 10
Abstractor: As Provided
ISBN: N/A
ISSN: EISSN-1309-0348
EISSN: N/A
Available Date: N/A
Identifying Network Structure, Influencers and Social Mood in Digital Spheres: A Sentiment and Content Analysis of Down Syndrome Awareness
Sani-Bozkurt, Sunagul
World Journal on Educational Technology: Current Issues, v10 n1 p10-19 2018
Down syndrome is a sensitive subject and one that requires efforts being made to improve conditions for individuals with Down syndrome across multiple dimensions. Social awareness is one of the important dimensions for the inclusion of individuals with Down syndrome. Online spaces, as well as offline spaces, are an important part of our daily lives and these spaces provide numerous opportunities to create, increase and sustain awareness of Down syndrome. From this perspective, this study examines the awareness of Down syndrome in online spaces. With this objective in mind, the research examined 4168 conversations from 2430 individuals that were posted in a microblogging service on World Down Syndrome Day. The research findings indicate that the Down syndrome network is distributed in time and space with diverse backgrounds. Key influencers were those who were already associated with Down syndrome. Furthermore, the social mood for Down syndrome was found to be positive.
Descriptors: Content Analysis, Down Syndrome, Network Analysis, Social Networks, Web 2.0 Technologies, Computer Mediated Communication, Transcripts (Written Records), Discourse Analysis, Affective Behavior, Mixed Methods Research
SciencePark Research, Organization & Counsesling. P.O. Box 22912, Nicosa 1525, Cyprus. Web site: www.wj-et.eu
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
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Author Affiliations: N/A