University of Twente Student Theses
Analysis of Influence Indicators of YouTube Videos using Metadata
Brouwer, R.J. (2019) Analysis of Influence Indicators of YouTube Videos using Metadata.
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Abstract: | Youtube is one of the biggest social media platforms. It is used to share and view video's. This research looks at which video metadata are potential indicators for influence. For this four different metrics are used that highlight different aspects of influence. Metrics used are: percentage of likes of total likes \& dislikes, likes \& dislikes per view, comments per view and views per subscription. Video category is found to be the most decisive aspect creating distinction between metrics. Video length and view count show weak influence. Video count and subscriptions show limited influence. |
Item Type: | Essay (Bachelor) |
Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
Subject: | 54 computer science |
Programme: | Business & IT BSc (56066) |
Link to this item: | https://purl.utwente.nl/essays/78758 |
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