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"I didn't sign up for this!" : informed consent in social network research

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hutton_consent.pdf (1.120Mb)
Date
26/05/2015
Author
Hutton, Luke
Henderson, Tristan
Keywords
H Social Sciences
QA75 Electronic computers. Computer science
NDAS
BDC
R2C
~DC~
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Abstract
The issue of whether, and how, to obtain informed consent for research studies that use social network data has recently come to the fore in some controversial cases. Determining how to acquire valid consent that meets the expectations of participants, while minimising the burden placed on them, remains an open problem. We apply Nissenbaum’s model of contextual integrity to the consent process, to study whether social norms of willingness to share social network data can be leveraged to avoid burdening participants with too many interventions, while still accurately capturing their own sharing intent. We find that for the 27.7% of our participants (N = 109) who conform to social norms, contextual integrity can be used to significantly reduce the time taken to capture their consent, while still maintaining accuracy. Our findings have implications for researchers conducting such studies who are looking to acquire informed consent without having to burden participants with many interactions.
Citation
Hutton , L & Henderson , T 2015 , "I didn't sign up for this!" : informed consent in social network research . in Proceedings of the 9th International AAAI Conference on Web and Social Media (ICWSM) . AAAI Press , pp. 178-187 , The 9th International AAAI Conference on Web and Social Media , Oxford , United Kingdom , 26/05/15 . < http://www.aaai.org/ocs/index.php/ICWSM/ICWSM15/paper/view/10493 >
 
conference
 
Publication
Proceedings of the 9th International AAAI Conference on Web and Social Media (ICWSM)
Type
Conference item
Rights
Copyright 2015, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved. The article is posted here by permission of AAAI for your personal use. Not for redistribution.
Description
This work was funded by the Engineering and Physical Sciences Research Council (EPSRC) through a Doctoral Training Grant.
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  • University of St Andrews Research
URL
http://icwsm.org/2015/
http://www.aaai.org/ocs/index.php/ICWSM/ICWSM15/paper/view/10493
URI
http://hdl.handle.net/10023/6691

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