Output details
11 - Computer Science and Informatics
University of Strathclyde
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Output 0 of 0 in the submission
Article title
A classification scheme for content analyses of YouTube video comments
Type
D - Journal article
Title of journal
Journal of Documentation
Article number
-
Volume number
69
Issue number
5
First page of article
693
ISSN of journal
0022-0418
Year of publication
2013
Number of additional authors
2
Additional information
<33>This study contributes a classification schema that can be used to classify user created comments left on YouTube. The schema allows researchers and practitioners to identify types or uses of comments and separate them for analysis. These analyses can be qualitative, to investigate language use, or quantitative, as in areas such as online advertising and sentiment analysis.
In addition, the ability to classify comment types is of importance in computer-mediated communication studies, as it allows the often hidden discourses that take place there that can include racism, sexism, or other offensive behaviour, to be adequately measured and understood.
Interdisciplinary
-
Cross-referral requested
36 - Communication, Cultural and Media Studies, Library and Information Management
Research group
B - Information Systems
Citation count
1
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
