Two more (admittedly rather late) additions: Conway, M. (2006). The Subjective Precision of Computers: a Methodological Comparison with Human Coding in Content Analysis. Journalism & Mass Communication Quarterly, 83(1), 186-200. Matthes, J., & Kohring, M. (2008). The Content Analysis of Media Frames: Toward Improving Reliability and Validity. Journal of Communication, 58(2), 258-279. doi:10.1111/j.1460-2466.2008.00384.x ~Eric -------- Original Message -------- Subject: [Air-L] Using Algorithms to Aid Content Analysis From: Stuart Shulman <stuart.shulman@gmail.com> To: air-l@listserv.aoir.org <air-l@listserv.aoir.org> Date: Thu Dec 30 22:59:11 2010

*Identifying and Classifying Subjective Claims* http://erulemaking.ucsur.pitt.edu/doc/papers/dgo07-nkwon-v2.pdf * Multidimensional Text Analysis for eRulemaking* http://erulemaking.ucsur.pitt.edu/doc/papers/dgo06-nse-v3.pdf

On Thu, Dec 30, 2010 at 10:52 PM, Aneesha Bakharia < aneesha.bakharia@gmail.com> wrote:

...

I am looking for recent research on using algorithms to aid Content Analysis. Research where themes discovered by algorithms are compared with themes coded by humans are particularly of interest.

--

Stuart Shulman President & CEO Texifter, LLC <http://www.texifter.com/>

Have you tried DiscoverText? http://discovertext.com *Featuring the Facebook Graph & Twitter APIs* _______________________________________________ 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/