[Air-L] Online survey about consent to access someone's social media data
Peter Timusk
peterotimusk at gmail.com
Tue Jun 23 21:50:33 PDT 2015
It's true that both how you access the data from one of these sites and
which site and what it's exact openness to researchers, all affect how you
can randomize. I think this is true.
An early ACM paper on facebook for example seemed to use the facebook search
system to access the profile data they used and they accessed first year
students at a school. They drew their data from the student's profiles, and
wrote about security settings they found the students had set.
Who would think that the facebook search tool is a research tool?
May be that's too critical of me.
Peter Timusk
I do not speak for my employer or organizations I volunteer for unless
otherwise noted.
-----Original Message-----
From: Air-L [mailto:air-l-bounces at listserv.aoir.org] On Behalf Of Gohar F.
Khan
Sent: June-22-15 11:48 PM
To: Ansgar Koene
Cc: air-l at listserv.aoir.org
Subject: [Air-L] Online survey about consent to access someone's social
media data
Hello Ansgar:
Considering the size of social media users (Facebook alone has more than a
billion users), it is virtually impossible to get a true representative
sample (i.e., everyone is given an equal chance of selection). One way to do
is to narrow down your research question and randomly draw your sample from
a specific user group in a particular social media site (say Facebook or
LinkedIn user groups) or multiple groups in multiple sites (only if you
could treat the data separately). This way you may be able to achieve some
degree of randomization. Also, controlling for the type of social media site
is important, as each social media site has a different privacy policy,
nature and amount of personal data stored, and shared. There are other host
of issues that could affect the results, such as, user age, gender,
awareness, experience, personality, etc.
I hope other list members can provide more insights.
Thank you,
On Sat, Jun 20, 2015 at 5:32 AM, Ansgar Koene <Ansgar.Koene at nottingham.ac.uk
> wrote:
> [sorry for the re-post, forgot the link to the survey last time]
>
> Hi all,
> I've recently launched an online survey to ask people which
> conditions they would like to have met before they would want to
> consent to having their social media data used for research purposes (see
link below).
> Does anyone have any good suggestions how I can best reach an audience
> that represent a proper cross-section of the internet using population?
> Mechanical Turk won't be an option since for the purposes of this
> survey Turkers would not be a representative population sample.
> Neither is the student population.
>
> Any ideas?
>
> Thanks,
> Ansgar
>
> Survey link:
> https://nottingham.onlinesurveys.ac.uk/conditions-for-consent-to-analy
> se-social-media-data
>
> Dr. Ansgar Koene
> CaSMa - Citizen centric approaches to social media analysis Horizon
> Digital Economy Research Institute University of Nottingham arkoene
> <https://sites.google.com/site/arkoene/>
> http://casma.wp.horizon.ac.uk/
> http://www.horizon.ac.uk/
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--
Gohar Feroz Khan, PhD
Assistant Professor
Korea University of Technology & Education (KoreaTECH)
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Office: 82-41-560-1415; Mobile: +82-10-5510-8071
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Associate Editor Journal of Contemporary Eastern Asia
<http://eastasia.yu.ac.kr/> I blog here
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<http://7layersanalytics.com/introduction-to-the-book/>ocial
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