I would add that Maurice points to the non-trivial task of disambiguation when an organization name overlaps terms in common usage. For example, United Airlines is an organization, but it is most commonly referred to as United. Manchester United is a very popular football organization, most often referred to as United. The list of other widespread uses of this common organization name sums up the disambiguation problem. It can be done with training and machine-learning, but not for 2000 terms unless you have an army of workers and lots of money. That suggests a second point, essentially that the practical steps required to gather data for 2000 organizations over time and remain compliant with rate and query limits would be daunting. You might consider trying the task with 5 organizations to assess the challenge of performing the task at scale. Finally, from the view of qualitative research, depending on your end goals, you may not need such a huge number of organizations to reach saturation during analysis. That is, say you looked at 50 organizations and then noticed on 51-60 that you were not learning much you had not already learned. That is saturation. On Sat, Sep 5, 2020 at 6:08 AM Vergeer, M.R.M. (Maurice) < m.vergeer@maw.ru.nl> wrote:
Hi Ronald,
yes it can be done, using R and the package rtweet. As for the YouTube question in the other, a similar approach could be done with R and the package Tuber. It probably needs a "do for" loop. Not sure rtweet (beware, technical lingo ahead) is vectorized for this problem. A loop will take some time though, given the large number of organizations. Furthermore, because one query will return multiple results, some semi-manual evaluation needs to take place to asses which account is the actual account. But, anyone with some experience with R could do it. Hope that herlps.
best regards Maurice
________________________________________________ Maurice Vergeer www.mauricevergeer.nl
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________________________________________ Van: Air-L <air-l-bounces@listserv.aoir.org> namens Ronald Rice < rrice@comm.ucsb.edu> Verzonden: zaterdag 5 september 2020 01:46 Aan: AoIR-L Onderwerp: [Air-L] First simple request: directory of twitter accounts for organizations?
Hi folks. This is an incredibly simple question, and I told my colleagues that I was sure someone (probably many) on AoIR knows the answer to this. I have a study with 2000 organizations (and their official names) and wish to find out their main twitter account. Twitter has a public directory, but it's browse only. I'm sure a quick script could take the table of org names, apply it to some aspect of a twitter API or twitter database and return a list. But I'm not trained in that really cool and powerful set of approaches. However, I'm also sure there is in fact already existing a twitter directory where you could enter the organization name and get the account. The paleolithic approach is to search each of the 2000 websites (which we have) to see if there's a twitter account posted; or worse, type the org name and "twitter" in Google search. Anyone have a suggestion? Thanks, so much, in advance. -- Ronald E. Rice Arthur N. Rupe Professor in the Social Effects of Mass Communication Department of Communication 4127 SS&MS Bldg Santa Barbara, CA 93106-4020 805-893-8696; rrice@comm.ucsb.edu https://www.comm.ucsb.edu/people/ronald-e-rice [image: UC Santa Barbara] _______________________________________________ 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
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