Abstract
In Online Social Networks (OSNs), it can be
difficult to maintain the context of a conversation or action, i.e.
to know what the situation is and how to act appropriately. The
resulting uncertainties may lead to privacy issues. We focus on
one issue Context Collision in this paper, and motivate that
a first step to address this issue is to help users distinguish
groups of contacts within their OSN accounts. We conducted a
small user study to investigate the criteria of users grouping the
people they know. We summarized our participants strategy of
labeling the groups and found that they perform the grouping
mainly by their connections with others. We used these results
in the design of FreeBu, a semi-automatic and interactive
grouping tool, which is based on mining friend graph data
for community detection and profile information for labeling.
difficult to maintain the context of a conversation or action, i.e.
to know what the situation is and how to act appropriately. The
resulting uncertainties may lead to privacy issues. We focus on
one issue Context Collision in this paper, and motivate that
a first step to address this issue is to help users distinguish
groups of contacts within their OSN accounts. We conducted a
small user study to investigate the criteria of users grouping the
people they know. We summarized our participants strategy of
labeling the groups and found that they perform the grouping
mainly by their connections with others. We used these results
in the design of FreeBu, a semi-automatic and interactive
grouping tool, which is based on mining friend graph data
for community detection and profile information for labeling.
| Original language | English |
|---|---|
| Title of host publication | PinSoDa: Privacy in Social Data - Workshop in conjunction with 12th IEEE International Conference on Data Mining (ICDM 2012), 10 December 2012, Brussels, Belgium, 8 |
| Place of Publication | Brussels |
| Publisher | IEEE Computer Society Press |
| Pages | 555-562 |
| Number of pages | 8 |
| ISBN (Print) | 978-1-4673-5164-5 |
| Publication status | Published - 10 Dec 2012 |
| Event | 2012 IEEE 12th International Conference on Data Mining Workshops - Brussels, Belgium Duration: 10 Dec 2012 → 10 Dec 2012 |
Conference
| Conference | 2012 IEEE 12th International Conference on Data Mining Workshops |
|---|---|
| Country/Territory | Belgium |
| City | Brussels |
| Period | 10/12/12 → 10/12/12 |
Keywords
- Online social networks
- privacy by design
- Transparancy tool
- context
- visualization