Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2012 6th IEEE International Conference on Digital Ecosystems and Technologies |
| Subtitle of host publication | Complex Environment Engineering, DEST 2012 |
| Publication status | Published - 2012 |
| Event | 2012 6th IEEE International Conference on Digital Ecosystems and Technologies: Complex Environment Engineering, DEST 2012 - Campione d'Italia, Italy Duration: 18 Jun 2012 → 20 Jun 2012 |
Publication series
| Name | IEEE International Conference on Digital Ecosystems and Technologies |
|---|---|
| ISSN (Print) | 2150-4938 |
| ISSN (electronic) | 2150-4946 |
Abstract
Big Data is a new label given to a diverse field of data intensive informatics in which the datasets are so large that they become hard to work with effectively. The term has been mainly used in two contexts, firstly as a technological challenge when dealing with dataintensive domains such as high energy physics, astronomy or internet search, and secondly as a sociological problem when data about us is collected and mined by companies such as Facebook, Google, mobile phone companies, retail chains and governments. In this paper we look at this second issue from a new perspective, namely how can the user gain awareness of the personally relevant part Big Data that is publicly available in the social web. The amount of user-generated media uploaded to the web is expanding rapidly and it is beyond the capabilities of any human to sift through it all to see which media impacts our privacy. Based on an analysis of social media in Flickr, Locr, Facebook and Google, we discuss privacy implications and potential of the emerging trend of geo-tagged social media. We then present a concept with which users can stay informed about which parts of the social Big Data deluge is relevant to them.
ASJC Scopus subject areas
- Computer Science(all)
- Computer Graphics and Computer-Aided Design
- Computer Science(all)
- Computer Networks and Communications
- Environmental Science(all)
- Environmental Engineering
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Proceedings of the 2012 6th IEEE International Conference on Digital Ecosystems and Technologies: Complex Environment Engineering, DEST 2012. 2012. 6227909 (IEEE International Conference on Digital Ecosystems and Technologies).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Big data privacy issues in public social media
AU - Smith, Matthew
AU - Szongott, Christian
AU - Henne, Benjamin
AU - Von Voigt, Gabriele
PY - 2012
Y1 - 2012
N2 - Big Data is a new label given to a diverse field of data intensive informatics in which the datasets are so large that they become hard to work with effectively. The term has been mainly used in two contexts, firstly as a technological challenge when dealing with dataintensive domains such as high energy physics, astronomy or internet search, and secondly as a sociological problem when data about us is collected and mined by companies such as Facebook, Google, mobile phone companies, retail chains and governments. In this paper we look at this second issue from a new perspective, namely how can the user gain awareness of the personally relevant part Big Data that is publicly available in the social web. The amount of user-generated media uploaded to the web is expanding rapidly and it is beyond the capabilities of any human to sift through it all to see which media impacts our privacy. Based on an analysis of social media in Flickr, Locr, Facebook and Google, we discuss privacy implications and potential of the emerging trend of geo-tagged social media. We then present a concept with which users can stay informed about which parts of the social Big Data deluge is relevant to them.
AB - Big Data is a new label given to a diverse field of data intensive informatics in which the datasets are so large that they become hard to work with effectively. The term has been mainly used in two contexts, firstly as a technological challenge when dealing with dataintensive domains such as high energy physics, astronomy or internet search, and secondly as a sociological problem when data about us is collected and mined by companies such as Facebook, Google, mobile phone companies, retail chains and governments. In this paper we look at this second issue from a new perspective, namely how can the user gain awareness of the personally relevant part Big Data that is publicly available in the social web. The amount of user-generated media uploaded to the web is expanding rapidly and it is beyond the capabilities of any human to sift through it all to see which media impacts our privacy. Based on an analysis of social media in Flickr, Locr, Facebook and Google, we discuss privacy implications and potential of the emerging trend of geo-tagged social media. We then present a concept with which users can stay informed about which parts of the social Big Data deluge is relevant to them.
UR - http://www.scopus.com/inward/record.url?scp=84864274193&partnerID=8YFLogxK
U2 - 10.1109/DEST.2012.6227909
DO - 10.1109/DEST.2012.6227909
M3 - Conference contribution
AN - SCOPUS:84864274193
SN - 9781467317030
T3 - IEEE International Conference on Digital Ecosystems and Technologies
BT - Proceedings of the 2012 6th IEEE International Conference on Digital Ecosystems and Technologies
T2 - 2012 6th IEEE International Conference on Digital Ecosystems and Technologies: Complex Environment Engineering, DEST 2012
Y2 - 18 June 2012 through 20 June 2012
ER -