It IS a fascinating world., that of tweets. I would assume that various research and marketing firms do big data analyses of tweets. It would seem to offer rich possibilities to also explore the issues you highlight here as well as the spread of rumors, emotional contagion, and source factors such as those from celebrities, those hi and low social status, etc. I wonder if the Survey Research center at U. Michigan is doing anything interesting along these lines. Maybe some tipsters will have connections?
G.L. (Gary) Peterson,Ph.D Psychology@SVSU > On Jan 14, 2017, at 12:05 PM, Mike Palij <m...@nyu.edu> wrote: > > My thanks to both Carol and Jim. How I missed the NY Times > Upshot article on this topic is beyond me -- the end of the > semester was pretty hectic but I thought that I was following > issues like this well. An interesting (important?) question > whether the nature of the tweets will be maintained once > the one who cannot be named becomes the > Head Orange In Charge (HOIC). One wonders if he will > stop using Twitter or become the Tweeter in Chief? > > -Mike Palij > New York University > m...@nyu.edu > > P.S. In my research methods class where I cover APA style > in depth, I point out that the APA has a separate manual for > electronic sources which tells one how to cite web blogs, > email, and tweets though I usually say that I don't know > why one would one to cite a tweet in an APA style paper. > Well, now I have reasons for citing tweets. > > On: Sat, 14 Jan 2017 00:37:38 +0000, Jim Clark wrote: >> And of course, analysis of tweets shows just how polite we Canadians are! >> http://www.huffingtonpost.ca/2016/01/07/polite-canadian-study-tweets-mcmaster_n_8935540.html > > >> On January-13-17 6:30 PM, Carol DeVolder wrote: >> These showed up in my Facebook feed: >> http://www.nytimes.com/interactive/2016/12/06/upshot/how-to-know-what-donald-trump-really-cares-about-look-at-who-hes-insulting.html?_r=0 >> >> http://varianceexplained.org/r/trump-tweets/ >> > > On Fri, Jan 13, 2017 at 5:32 PM, Mike Palij wrote: > This is a follow-up to my original post and Claudia's response because of new > information. > > On Thu, 29 Dec 2016 19:06:07 -0800, Claudia Stanny wrote: > I haven't seen an analysis other than the examination of the originating > device to determine "true" authorship (V himself on an android or an > underling on an iPhone). > > I'm sure a content analysis can't be far behind, if only from the literary > types who use this type of analysis to guess at authorship. There is a > literature on this analysis among Shakespeare scholars and Biblical scholars > (authorship of different books0. > > The latest issue of "Psychological Methods" is a special issue > devoted to "Big Data in Psychology" (big data is the current fad in "Data > Science") and one of the articles is relevant to my > original question of whether there was research on the analysis > of the content of Tweets. The following reference and abstract > describes research that focused on change in emotional content > of Tweets from before and after violent incidents on college > campuses. Interestingly, it uses Pennebaker's LIWC in addition > to statistical analyses. For those who are interested, here's > some info: > > Tweeting negative emotion: An investigation of Twitter data in the aftermath > of violence on college campuses.Jones, N. M.; Wojcik, S. P.; Sweeting, J.; & > Silver, R. C. > Psychological Methods, Vol 21(4), Dec 2016, 526-541. doi: 10.1037/met0000099 > Studying communities impacted by traumatic events is often costly, requires > swift action to enter the field when disaster strikes, and may be invasive > for some traumatized respondents. Typically, individuals are studied after > the traumatic event with no baseline data against which to compare their > postdisaster responses. Given these challenges, we used longitudinal Twitter > data across 3 case studies to examine the impact of violence near or on > college campuses in the communities of Isla Vista, CA, Flagstaff, AZ, and > Roseburg, OR, compared with control communities, between 2014 and 2015. To > identify users likely to live in each community, we sought Twitter accounts > local to those communities and downloaded tweets of their respective > followers. Tweets were then coded for the presence of event-related negative > emotion words using a computerized text analysis method (Linguistic Inquiry > and Word Count, LIWC). In Case Study 1, we observed an increase in postevent > negative emotion expression among sampled followers after mass violence, and > show how patterns of response appear differently based on the timeframe under > scrutiny. In Case Study 2, we replicate the pattern of results among users in > the control group from Case Study 1 after a campus shooting in that community > killed 1 student. In Case Study 3, we replicate this pattern in another group > of Twitter users likely to live in a community affected by a mass shooting. > We discuss conducting trauma-related research using Twitter data and provide > guidance to researchers interested in using Twitter to answer their own > research questions in this domain. (PsycINFO Database Record (c) 2016 APA, > all rights reserved) > > So, I guess the real question is whether anyone is doing a LIWC > analysis of Voldemort's tweets? I'd suggest folks write up a > research proposal to get some grant money to do this research > if it isn't being done but I have a feeling that anyone suggesting > such research will probably be gulaged after you know who > takes over. > > -Mike Palij > New York University > m...@nyu.edu<mailto:m...@nyu.edu> > > P.S. Maybe out Canadian colleagues can do a LIWC analysis > of tweets before and after the election, eh? ;-) > > > --- > You are currently subscribed to tips as: peter...@svsu.edu. > To unsubscribe click here: > http://fsulist.frostburg.edu/u?id=13445.e3edca0f6e68bfb76eaf26a8eb6dd94b&n=T&l=tips&o=50228 > or send a blank email to > leave-50228-13445.e3edca0f6e68bfb76eaf26a8eb6dd...@fsulist.frostburg.edu --- You are currently subscribed to tips as: arch...@mail-archive.com. 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