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SEKE 2012 Proceedings - Knowledge Systems Institute

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[2] A. Agarwal, B. Xie, I. Vovsha, O. Rambow, and<br />

R. Passonneau. Sentiment analysis of twitter data. In<br />

Proc. of the Workshop on Languages in Social Media,<br />

pages 30–38, 2011.<br />

[3] L. Backstrom, P. Boldi, M. Rosa, J. Ugander, and<br />

S. Vigna. Four Degrees of Separation. Technical report,<br />

arXiv:1111.4570v3 [cs.SI], <strong>2012</strong>.<br />

[4] M. Cha, A. Mislove, and K. Gummadi. A<br />

Measurement-driven Analysis of Information Propagation<br />

in the Flickr Social Network. In Proc. of 18th<br />

Intl. Conference on World wide web, 2009.<br />

Figure 2. Permission dialogue, accessed data<br />

Except Twitter, the dialogues of all OSNs provide<br />

sketchy details. 6 Facebook and Google+ provide coarse<br />

summaries; Google+ users can retrieve details, but only after<br />

clicking on the summary. Most users will either not know<br />

or care to take this extra step without explicit instruction.<br />

LinkedIn and Orkut ambiguously caution users that their information<br />

will be shared with third parties and seek assent to<br />

terms of service linked from the dialogue. Finally, YouTube<br />

dialogues provide no details about the data that third parties<br />

can retrieve once users provide their consent.<br />

4 Conclusions and Future Work<br />

This paper reveals that OSN APIs expose signif cant user<br />

data, and substantially enable third parties to act on behalf<br />

of their users. Their privacy options are not comprehensive<br />

and can be exercised only with limited scopes. Permissions<br />

are often confusing and inconsistent, and their ambiguous<br />

presentation may mislead users into revealing excessive information.<br />

OSNs thus tip the scale towards information exposure<br />

versus privacy protection, lending ample support to<br />

critics’ skepticism regarding user privacy.<br />

Our future work seeks to quantify the privacy content<br />

in the information posted by different demographic groups.<br />

We also propose to develop tools and educational materials<br />

to raise public awareness about how third parties can exploit<br />

APIs to collect user data and how users can protect themselves<br />

by adopting proper measures.<br />

References<br />

[1] Personal recommendations and consumer opinions<br />

posted online are the most trust forms of advertising<br />

globally. The Nielsen Company Press Release, July<br />

2009.<br />

6 Images of these dialogues are available at:<br />

http://cse.uconn.edu/∼ded02007/osnapi<br />

[5] D. Boyd. Why youth (heart) social network sites: The<br />

role of networked publics in teenage social life. Youth,<br />

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Oct. 2011.<br />

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OAuth 2.0 Protocol. http://tools.ietf.org/html/draftietf-<br />

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[9] P. S. R. A. International. Pew Internet & American<br />

Life Poll: Social Side of the Internet. Roper Center for<br />

Public Opinion Research Study USPEW2010-IAL12<br />

Version 2, Nov. 2010.<br />

[10] P. S. R. A. International. Pew Internet & American<br />

Life Poll: Spring Change Assessment Survey<br />

2011. Roper Center for Public Opinion Research Study<br />

SPEW2011-IAL04 Version 2., Apr. 2011.<br />

[11] H. R. Lipford, A. Besmer, and J. Watson. Understanding<br />

Privacy Settings in Facebook with an Audience<br />

View. In Proc. of 1st Conference on Usability Psychology<br />

and Security, 2008.<br />

[12] Y. Liu, K. Gummadi, B. Krishnamurthy, and A. Mislove.<br />

Analyzing facebook privacy settings: user expectations<br />

vs. reality. In Proc of ACM SIGCOMM Conference<br />

on Internet Measurement, pages 61–70, 2011.<br />

[13] P. Swire. Social Networks, Privacy, and Freedom of<br />

Association. Technical report, Center for Americal<br />

Progress, Feb. 2011.<br />

[14] B. Viswanath, A. Mislove, M. Cha, and K. Gummadi.<br />

On the Evolution of User Interaction in Facebook. In<br />

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2009.<br />

405

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