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An empirical analysis of characteristics of useful comments in social media

Published:02 May 2013Publication History

ABSTRACT

User-generated comments in online social media have recently attracted increasing attention with regard to the integration of end users' knowledge with the creation of new descriptive annotations for media resources (such as exploiting a comment written on a Flickr photo in order to create descriptive annotations for the photo). However, users have different levels of expertise and the content quality of comments varies from useful to useless. In this paper, we compare the characteristics of useful comments on different platforms (YouTube and Flickr) and we propose a method for inferring useful comments. We provide an analysis of the impact of different textual, semantic, and user features on the proposed inference method.

References

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  1. An empirical analysis of characteristics of useful comments in social media

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        cover image ACM Conferences
        WebSci '13: Proceedings of the 5th Annual ACM Web Science Conference
        May 2013
        481 pages
        ISBN:9781450318891
        DOI:10.1145/2464464

        Copyright © 2013 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 2 May 2013

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