Abstract
This article analyzes the issue of degradation of data accuracy in large-scale longitudinal data sets. Recent research points to a number of issues with large-scale data, including problems of reliability, accuracy and quality over time. Simultaneously, large-scale data is increasingly being utilized in the social sciences. As scholars work to produce theoretically grounded research utilized "small-scale" methods, it is important for researchers to better understand the critical issues associated with the analysis of large-scale data. In order to illustrate the issues associated with this type of research, a case study analysis of archival Internet data is presented focusing on the issues of degradation of data accuracy over time. Suggestions for future studies are given.
| Original language | English (US) |
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| Title of host publication | Proceedings of the 2015 ACM Web Science Conference |
| Publisher | Association for Computing Machinery, Inc |
| ISBN (Electronic) | 9781450336727 |
| DOIs | |
| State | Published - Jun 28 2015 |
| Externally published | Yes |
| Event | 7th ACM Web Science Conference, WebSci 2015 - Oxford, United Kingdom Duration: Jun 28 2015 → Jul 1 2015 |
Publication series
| Name | Proceedings of the 2015 ACM Web Science Conference |
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Other
| Other | 7th ACM Web Science Conference, WebSci 2015 |
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| Country/Territory | United Kingdom |
| City | Oxford |
| Period | 6/28/15 → 7/1/15 |
Bibliographical note
Publisher Copyright:Copyright is held by the owner/author(s).
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