[Air-L] Constructed Week Sampling Online News

[Jeanine Finn]

You’re right about the Neundorf - I know I saw constructed week sampling in some recent-ish content analysis methods book…but I can’t think where. Arg.

A couple other things that might help.

A recent dissertation from our University used it for online news on a specific topic - but using Facebook. Not sure if it’s quite white you’re looking for: “LIBERATION TECHNOLOGY?” Toward an Understanding of the Re-appropriation of Social Media for Emancipatory Uses among Alternative Media Projects in El Salvador by Summer Harlow. (I can get a copy of this to you if you’re interested).

Maybe also: 
 Badenschier, F. and Wormer, H. 2012. Issue selection in science journalism: Towards a special theory of news values for science news? The Sciences’ Media Connection –Public Communication and its Repercussions. S. Rödder et al., eds. Springer Netherlands. 59–85.

Carpenter, S. 2007. U.S. elite and non-elite newspapers’ portrayal of the Iraq war: A comparison of frames and source use. Journalism & Mass Communication Quarterly. 84, 4 (Dec. 2007), 761–776.

(These also have a topic-focus).

Best,

Jeanine


> On May 20, 2015, at 1:29 PM, Patricia Rossini <patyrossini at gmail.com> wrote:
> 
> 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 <mailto: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 <mailto: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/>