[Air-L] Constructed Week Sampling Online News

[Patricia Rossini]

I read this Ryffe et al 1993 and it made a good case on why to pick this method for sampling. But it didn’t answer my concern on how to do it when you’re interested in only one section/topic. I think Neuendorf’s CAG does not cover this - I couldn’t find it in my edition (2003).
Thanks for sharing this study! 



> Em 20/05/2015, à(s) 15:23, Jeanine Finn <jefinn at utexas.edu> escreveu:
> 
> Hi there-
> 
> Constructed-week sampling is pretty well-established in news media research.
> 
> You might look at: 
> 
> Riffe D, Aust CF and Lacy SR (1993) The effectiveness of random, consecutive day and constructed week sampling in newspaper content analysis. Journalism Quarterly (70)1: 133–139. (to explain the method, but it an analog context) and
> 
> Artwick, C.G. 2013. News sourcing and gender on Twitter. Journalism. (Nov. 2013) as another recent online example.
> 
> I though Neuendorf’s Content Analysis Guidebook covered this method, but I can’t seem to find it in the index. If you have a copy of that handy, you might also try and take a look there.
> 
> Best,
> Jeanine
> 
> 
> 
> 
>> On May 20, 2015, at 12:03 PM, Patricia Rossini <patyrossini at gmail.com <mailto:patyrossini at gmail.com>> wrote:
>> 
>> Hi all,
>> 
>> I’m a Ph.D student in Brazil and I study political discussion around political news across multiple venues online. 
>> I recently came across a study that used constructed week sampling to analyze political discussion online in two venues WSJ website and facebook page (Rowe, 2015). Which is similar to what I want to do.
>> 
>> I was wondering if anyone has tips or texts on this method for sampling online news, as well as the advantages of this approach. It seems to me that - at least in newspapers and magazines - this is a better way to get a representative sample of a period of time. 
>> However, some of the studies I read on the method sampled news on all themes and I’ll only focus on political news. 
>> How should I proceed: first map the political news posted during a period of time [2 months] and then constructing my week OR construct the week with all stories from all sections and then analyze only the political topics that appear on the constructed week? 
>> 
>> It seems like the second approach would give a better sample in terms of representing the political news coverage. But since I’ve never worked with this method, I am asking for advice. After all, this list has proven to be very helpful in many occasions :)
>> 
>> Thank you all, in advance, for your contributions! 
>> 
>> 
>> 
>> Patricia Rossini
>> Ph.D Student | Department of Social Communication
>> Federal University of Minas Gerais, Brazil 
>> Associated researcher at the Media and Public Sphere research group (EME/UFMG)
>> patriciarossini at ufmg.br
>> +Academia.edu <http://academia.edu/> <http://ufmg.academia.edu/Patr%C3%ADciaRossini <http://ufmg.academia.edu/Patr%C3%ADciaRossini>>
>> 
>> 
>> 
>> 
>> 
>> 
>> 
>> 
>> 
>> 
>> _______________________________________________
>> The Air-L at listserv.aoir.org <mailto:Air-L at listserv.aoir.org> mailing list
>> is provided by the Association of Internet Researchers http://aoir.org <http://aoir.org/>
>> Subscribe, change options or unsubscribe at: http://listserv.aoir.org/listinfo.cgi/air-l-aoir.org <http://listserv.aoir.org/listinfo.cgi/air-l-aoir.org>
>> 
>> Join the Association of Internet Researchers:
>> http://www.aoir.org/ <http://www.aoir.org/>
> 
> 
> 
> <---------------------------------------------------->
> Jeanine Finn
> Doctoral Student
> School of Information
> University of Texas at Austin
> jefinn at utexas.edu <mailto:jefinn at utexas.edu>
> https://www.ischool.utexas.edu/~jefinn/ <https://www.ischool.utexas.edu/~jefinn/>
> 
> _______________________________________________
> The Air-L at listserv.aoir.org <mailto:Air-L at listserv.aoir.org> mailing list
> is provided by the Association of Internet Researchers http://aoir.org <http://aoir.org/>
> Subscribe, change options or unsubscribe at: http://listserv.aoir.org/listinfo.cgi/air-l-aoir.org <http://listserv.aoir.org/listinfo.cgi/air-l-aoir.org>
> 
> Join the Association of Internet Researchers:
> http://www.aoir.org/ <http://www.aoir.org/>