.@dfreelon @kreissdaniel For 1) we need to develop a theory of measurement of social phenomena through digital trace data.
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Replying to @ajungherr
@ajungherr@kreissdaniel Seems like it'd be hard to do this generally. The value and meanings of traces aren't static3 replies 0 retweets 3 likes -
Replying to @dfreelon
@dfreelon@ajungherr you are right Deen - this applies to all mediums (but the Twitter study phenomenon seems to be particularly egregious)2 replies 0 retweets 1 like -
Replying to @kreissdaniel
@kreissdaniel@dfreelon@ajungherr Sorry if you've seen.Twitter has particular problems—not just representativeness. http://www.aaai.org/ocs/index.php/ICWSM/ICWSM14/paper/view/8062/8151 …2 replies 0 retweets 5 likes -
Replying to @zeynep
@zeynep@kreissdaniel@ajungherr Yeah, I cite and rec this often. Twitter's method issues shd be noted, data shd fit qs, of course1 reply 0 retweets 2 likes -
Replying to @dfreelon
@dfreelon You do, Deen but field awash in "I scraped Twitter data" but not much else reflection studies. Still.@kreissdaniel@ajungherr2 replies 0 retweets 1 like -
Replying to @zeynep
@zeynep@kreissdaniel@ajungherr TBH I think comm is actually better at this than the ACM and IEEE confs. That's a paradigmatic difference2 replies 0 retweets 2 likes -
Replying to @dfreelon
@zeynep@kreissdaniel@ajungherr I go into greater detail on this point in this chapter: http://dfreelon.org/wp-content/uploads/2008/06/dfreelon_digitalpolitics_chapter_031714.pdf … Diff end goals.4 replies 0 retweets 7 likes -
Replying to @dfreelon
@dfreelon@kreissdaniel@ajungherr My exposure to multi-method data in Gezi scared me deeply of Twitter only data.1 reply 0 retweets 2 likes -
Replying to @zeynep
@dfreelon@kreissdaniel@ajungherr We know mediums are biased but I think most researchers don't understand what Twitter does in context.+1 reply 0 retweets 2 likes
@dfreelon @kreissdaniel @ajungherr Now I'm super wary Twitter data unless researchers all really really understood the substantive context.
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