Information Loss in the Era of User-Generated Data
نویسندگان
چکیده
With the proliferation of crowdsourcing, improving the quality of user-generated data has become a major managerial concern. While traditional data quality research focused on structured data and corporate use, with the growing popularity of social networking, data created via the Internet is increasingly discretionary and heterogeneous. This paper explores the challenges of user-generated content and proposes a new data quality dimension, the degree of information loss resulting from the transformation of user inputs. With this research we aim to improve our understanding of the emerging phenomena and better inform the practice of crowdsourcing.
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