Social media analytics for YouTube comments: potential and limitations
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Authors
Thelwall, MikeIssue Date
2017-09-21
Metadata
Show full item recordAbstract
The need to elicit public opinion about predefined topics is widespread in the social sciences, government and business. Traditional survey-based methods are being partly replaced by social media data mining but their potential and limitations are poorly understood. This article investigates this issue by introducing and critically evaluating a systematic social media analytics strategy to gain insights about a topic from YouTube. The results of an investigation into sets of dance style videos show that it is possible to identify plausible patterns of subtopic difference, gender and sentiment. The analysis also points to the generic limitations of social media analytics that derive from their fundamentally exploratory multi-method nature.Citation
Social media analytics for YouTube comments: potential and limitations 2017:1 International Journal of Social Research MethodologyPublisher
Taylor & FrancisJournal
International Journal of Social Research MethodologyAdditional Links
https://www.tandfonline.com/doi/full/10.1080/13645579.2017.1381821Type
Journal articleLanguage
enISSN
1364-5579ae974a485f413a2113503eed53cd6c53
10.1080/13645579.2017.1381821
Scopus Count
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- Creative Commons
Except where otherwise noted, this item's license is described as Archived with thanks to International Journal of Social Research Methodology