Abstract
The Internet has become a critical part of the infrastructure supporting modern life. The high degree of openness and autonomy of information providers determines the access to a vast amount of information on the Internet. However, this makes the web vulnerable to inaccurate, misleading, or outdated information. The unnecessary and unusable content, which is referred to as “information waste,” takes up hardware resources and clutters the web. In this paper, we examine the phenomenon of web information waste by developing a taxonomy of it and analyzing its causes and effects. We then explore possible solutions and propose a classification approach using quantitative metrics for information waste detection
Original language | English |
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Title of host publication | ECIS 2015 PROCEEDINGS |
Subtitle of host publication | 23rd European Conference on Information Systems, ECIS 2015 |
Publisher | AIS Electronic Library (AISeL) |
ISBN (Electronic) | 978-3-00-050284-2 |
Publication status | Published - 26 May 2015 |
Event | 23rd European Conference on Information Systems, ECIS 2015 - Münster, Germany Duration: 26 May 2015 → 29 May 2015 Conference number: 23 http://www.ecis2015.eu/ |
Conference
Conference | 23rd European Conference on Information Systems, ECIS 2015 |
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Abbreviated title | ECIS |
Country/Territory | Germany |
City | Münster |
Period | 26/05/15 → 29/05/15 |
Internet address |