User comments are the most popular but also extremely controversial form of communication on YouTube. Their public image is very poor; users generally expect that most comments will be of little value or even in thorough-ly bad taste. Nevertheless, heaps of comments continue to be posted every day. We propose an explanation for this contradiction in user attitudes and behaviour based on a new comment classification approach which captures salient aspects of YouTube comments. We show that, based on our new classification, we are able to perform very fast lightweight semantic video analysis. In addition, our results indicate that users’ video perceptions (Likes and Dislikes) are indeed in-fluenced by the dispersion of valuable and inferior comments.
|Titel des Sammelwerks||Proceedings of the 11th International Conference on Wirtschaftsinformatik (WI2013), Vol. 1|
|Herausgeber*innen||R. alt, B. Franczyk|
|Seiten||659 - 673|
|Publikationsstatus||Veröffentlicht - 2013|
Österreichische Systematik der Wissenschaftszweige (ÖFOS)
- 502050 Wirtschaftsinformatik