Social-QAS: Tailorable quality assessment service for social media content

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Abstract

More than 3 billion people use the Internet, many of whom also use social media services such as the social network Facebook with about 1.35 billion active users monthly or the microblogging platform Twitter numbering approximately 284 million active users monthly. This paper researches how a tailorable quality assessment service can assist the use of citizen-generated content from social media. In particular, we want to study how users can articulate their personal quality criteria appropriately. A presentation of related work is followed by an empirical study on the use of social media in the field of emergency management, focusing on situation assessment practices by the emergency services. Based on this, we present the tailorable quality assessment service (QAS) for social media content, which has been implemented and integrated into an existing application for both volunteers and the emergency services.

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Reuter, C., Ludwig, T., Ritzkatis, M., & Pipek, V. (2015). Social-QAS: Tailorable quality assessment service for social media content. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9083, pp. 156–170). Springer Verlag. https://doi.org/10.1007/978-3-319-18425-8_11

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