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Today's Topics:
1. Re: Quantitative analysis of online pornography (Unger, Johann) 2. Re: Quantitative analysis of online pornography (David Nemer) 3. Quantitative analysis of online pornography (William Bain) 4. Re: Quantitative analysis of online pornography (Ulf-Dietrich Reips) 5. Re: Quantitative analysis of online pornography (live) 6. Re: Big Data texts (Jason Rhody)
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Message: 1 Date: Fri, 1 Mar 2013 17:51:59 +0000 From: "Unger, Johann" <j.unger@lancaster.ac.uk> To: "<air-l@listserv.aoir.org>" <air-l@listserv.aoir.org> Subject: Re: [Air-L] Quantitative analysis of online pornography Message-ID: <B7A22579-EFBC-4A82-B1F9-4BEFC58258A0@lancaster.ac.uk> Content-Type: text/plain; charset="us-ascii"
Antoine,
You may be interested in Georgina Voss's work on the industry, e.g. http://sexualities.sagepub.com/content/15/3-4/391.abstract
Johnny.
Dr J W Unger Lecturer and Academic Director of Summer Programmes Department of Linguistics and English Language Lancaster University LA1 4YL
e-mail: j.unger@lancaster.ac.uk<mailto:j.unger@lancaster.ac.uk> tel: +44 1524 592591<tel:+44%201524%20592591> Follow me on Twitter @johnnyunger<http://twitter.com/#!/johnnyunger>
On 1 Mar 2013, at 16:57, "air-l-request@listserv.aoir.org<mailto:air-l-request@listserv.aoir.org>" <air-l-request@listserv.aoir.org<mailto:air-l-request@listserv.aoir.org>> wrote: Dear IRs,
I am looking at available data of online pornography and looked at available studies made out of them.
I'm very surprised to mainly only find studies on impact/effect of pornography on humans with almost none study on topology/dynamics/evolution of the object itself.
Does some of you have some references in mind that dig in that direction ?
(If I manage to arrange a dataset out of available data on public website, I would be glad to share it, let me know if you're interested.)
Thanks for your help, All best, Antoine http://mazier.es/
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Message: 2 Date: Fri, 1 Mar 2013 12:55:23 -0500 From: David Nemer <dnemer@indiana.edu> Cc: "<air-l@listserv.aoir.org>" <air-l@listserv.aoir.org> Subject: Re: [Air-L] Quantitative analysis of online pornography Message-ID: <CA+Zj46pwBuRg_zb8BBN24hRYz0vR09ni478sWoLL9rzazYhObw@mail.gmail.com> Content-Type: text/plain; charset=ISO-8859-1
Hi Antoine,
I know that Prof Bryant Paul, here at Indiana University, he researches pornography and the effects of sexual messages in the media. You'd probably want to look him up.
Here's the link to his website: http://www.indiana.edu/~telecom/people/faculty/paul.shtml
On Fri, Mar 1, 2013 at 12:51 PM, Unger, Johann <j.unger@lancaster.ac.uk>wrote:
Antoine,
You may be interested in Georgina Voss's work on the industry, e.g. http://sexualities.sagepub.com/content/15/3-4/391.abstract
Johnny.
Dr J W Unger Lecturer and Academic Director of Summer Programmes Department of Linguistics and English Language Lancaster University LA1 4YL
e-mail: j.unger@lancaster.ac.uk<mailto:j.unger@lancaster.ac.uk> tel: +44 1524 592591<tel:+44%201524%20592591> Follow me on Twitter @johnnyunger<http://twitter.com/#!/johnnyunger>
On 1 Mar 2013, at 16:57, "air-l-request@listserv.aoir.org<mailto: air-l-request@listserv.aoir.org>" <air-l-request@listserv.aoir.org<mailto: air-l-request@listserv.aoir.org>> wrote: Dear IRs,
I am looking at available data of online pornography and looked at available studies made out of them.
I'm very surprised to mainly only find studies on impact/effect of pornography on humans with almost none study on topology/dynamics/evolution of the object itself.
Does some of you have some references in mind that dig in that direction ?
(If I manage to arrange a dataset out of available data on public website, I would be glad to share it, let me know if you're interested.)
Thanks for your help, All best, Antoine http://mazier.es/ _______________________________________________ The Air-L@listserv.aoir.org mailing list is provided by the Association of Internet Researchers http://aoir.org Subscribe, change options or unsubscribe at: http://listserv.aoir.org/listinfo.cgi/air-l-aoir.org
Join the Association of Internet Researchers: http://www.aoir.org/
-- *David Nemer* PhD Candidate in Social Informatics School of Informatics and Computing, Indiana University Editor of the Social Informatics Blog - http://socialinformaticsblog.com http://www.dnemer.com dnemer@indiana.edu
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Message: 3 Date: Fri, 1 Mar 2013 10:05:58 -0800 (PST) From: William Bain <willronb@yahoo.com> To: "air-l@listserv.aoir.org" <air-l@listserv.aoir.org> Subject: [Air-L] Quantitative analysis of online pornography Message-ID: <1362161158.41137.YahooMailNeo@web122105.mail.ne1.yahoo.com> Content-Type: text/plain; charset=us-ascii
Antoine,
Cite-U-Like has quite a lot on this, in case you haven't yet checked there.
Best wishes, William
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Message: 4 Date: Fri, 1 Mar 2013 20:17:58 +0100 From: Ulf-Dietrich Reips <u.reips@ikerbasque.org> To: Antoine Mazieres <antoine.mazieres@gmail.com>, "air-l@listserv.aoir.org" <air-l@listserv.aoir.org> Subject: Re: [Air-L] Quantitative analysis of online pornography Message-ID: <p06240823cd56a9512db1@[192.168.1.129]> Content-Type: text/plain; charset="iso-8859-1" ; format="flowed"
Hi Antoine: here is a reference to a study that analyzed the complete Web traffic at a German university during the early days of the Web and found porn to be the most frequently type of content accessed (ca. 25% of Web traffic).
Berker, T. 2002. World Wide Web use at a German university - computers, sex, and imported names: results of a log file analysis. In B. Batinic, U.-D. Reips, and M. Bosnjak (eds.), Online Social Sciences (pp. 365-382). G?ttingen, Germany: Hogrefe.
Hope it helps.
Best --u
At 16:16 Uhr +0100 1.3.2013, Antoine Mazieres wrote:
Dear IRs,
I am looking at available data of online pornography and looked at available studies made out of them.
I'm very surprised to mainly only find studies on impact/effect of pornography on humans with almost none study on topology/dynamics/evolution of the object itself.
Does some of you have some references in mind that dig in that direction ?
(If I manage to arrange a dataset out of available data on public website, I would be glad to share it, let me know if you're interested.)
Thanks for your help, All best, Antoine http://mazier.es/ _______________________________________________ The Air-L@listserv.aoir.org mailing list is provided by the Association of Internet Researchers http://aoir.org Subscribe, change options or unsubscribe at: http://listserv.aoir.org/listinfo.cgi/air-l-aoir.org
Join the Association of Internet Researchers: http://www.aoir.org/
------------------------------
Message: 5 Date: Fri, 1 Mar 2013 12:17:51 -0800 From: live <human.factor.one@gmail.com> To: Antoine Mazieres <antoine.mazieres@gmail.com> Cc: AoIR-L Aoir <air-l@listserv.aoir.org> Subject: Re: [Air-L] Quantitative analysis of online pornography Message-ID: <B17B3A32-CD07-43F8-8704-5A8700175662@gmail.com> Content-Type: text/plain; charset=us-ascii
Hello Antoine -
I know a Brazilian Anthropologist, Carolina Parreiras Silva, was looking at sexualities online and has recently focused on porn from an ethnographic perspective. She's on Twitter as @carolmineira . You might find some intersection between the qual and the quant.
Cheers, Sharon Greenfield @SharonG
On Mar 1, 2013, at 7:16 AM, Antoine Mazieres wrote:
Dear IRs,
I am looking at available data of online pornography and looked at available studies made out of them.
I'm very surprised to mainly only find studies on impact/effect of pornography on humans with almost none study on topology/dynamics/evolution of the object itself.
Does some of you have some references in mind that dig in that direction ?
(If I manage to arrange a dataset out of available data on public website, I would be glad to share it, let me know if you're interested.)
Thanks for your help, All best, Antoine http://mazier.es/ _______________________________________________ The Air-L@listserv.aoir.org mailing list is provided by the Association of Internet Researchers http://aoir.org Subscribe, change options or unsubscribe at: http://listserv.aoir.org/listinfo.cgi/air-l-aoir.org
Join the Association of Internet Researchers: http://www.aoir.org/
------------------------------
Message: 6 Date: Fri, 1 Mar 2013 15:37:12 -0500 From: Jason Rhody <jasonrhody@gmail.com> To: air-l@listserv.aoir.org Subject: Re: [Air-L] Big Data texts Message-ID: <CAPKpyY2TqWLBcDF84MV4Rsstyb5HcoHR9aO1uGdfGHSCNzUxaA@mail.gmail.com> Content-Type: text/plain; charset=ISO-8859-1
Dear Mark, You might find the website for the "Digging into Data Challenge" ( www.diggingintodata.org) a useful resource. The Digging into Data Challenge is an international grant competition created by the National Endowment for the Humanities that involves ten research funders representing Canada, the Netherlands, the United Kingdom, and the United States (the National Science Foundation and the Institute for Museum and Library Services are the other two US funders).
We are currently soliciting applications for round 3 of this competition, but for your purposes, you might find a lot of useful material based on the first round of funding, including a report from the Council on Library and Information Resources (CLIR): "One Culture. Computationally Intensive Research in the Humanities and Social Sciences: A Report on the Experiences of First Respondents to the Digging Into Data Challenge" ( http://www.clir.org/pubs/reports/pub151).
Since the projects require diverse collaborative teams from a variety of disciplinary backgrounds and nationalities, you get a nice mix of qualitative and quantitative methodologies against the backdrop of some interesting research material (such as data mining historical crime using nearly 200,000 trials across nearly 250 years in the Old Bailey archives - http://criminalintent.org/). Furthermore, many projects have robust project websites and blogs.
The Digging website also has a healthy list of available data repositories: http://www.diggingintodata.org/Home/Repositories/tabid/167/Default.aspx
Hope you and your students find these resources useful.
(And, as an aside, anyone interested in applying for a Digging into Data grant should also visit diggingintodata.org for the submission guidelines -- the deadline is May 15, 2013).
With kind regards, Jason
-- Jason Rhody, Ph.D. Senior Program Officer National Endowment for the Humanities Office of Digital Humanities www.neh.gov http://misc.wordherders.net/?page_id=2
On Wed, Feb 27, 2013 at 6:00 PM, <air-l-request@listserv.aoir.org> wrote:
Today's Topics: 4. Big Data texts (Mark D. Johns) ------------------------------
Message: 4 Date: Wed, 27 Feb 2013 09:47:22 -0600 From: "Mark D. Johns" <mjohns@luther.edu> To: aoir list <air-l@aoir.org> Subject: [Air-L] Big Data texts Message-ID: <CAHKCqnCN_xtL4vV-t8BziupXum3vDXMUJXUzC= X_UqvCCHSsoQ@mail.gmail.com> Content-Type: text/plain; charset=ISO-8859-1
I've been assigned to teach an advanced research methods course on "big data" next fall to upper-level undergrads. As I'm more of a qualitative guy, this is a bit outside my comfort zone.
I'm seeking recommendations of books, journal articles, or other readings that would be accessible to undergraduate juniors and seniors on analytics and related topics.
Please respond off list, and if there is interest, I'll post a summary later. Thanks in advance. -- Mark D. Johns, Ph.D. Associate Professor, Communication Studies Luther College, Decorah, Iowa USA ----------------------------------------------- "Get the facts first. You can distort them later." ---Mark Twain
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End of Air-L Digest, Vol 104, Issue 2 *************************************