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 <[email protected]> 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 > [email protected] > > 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: [email protected]. > To unsubscribe click here: http://fsulist.frostburg.edu/u > ?id=177920.a45340211ac7929163a0216244443341&n=T&l=tips&o=50221 > or send a blank email to leave-50221-177920.a45340211ac > [email protected] > -- Carol DeVolder, Ph.D. Professor of Psychology St. Ambrose University 518 West Locust Street Davenport, Iowa 52803 563-333-6482 --- You are currently subscribed to tips as: [email protected]. To unsubscribe click here: http://fsulist.frostburg.edu/u?id=13090.68da6e6e5325aa33287ff385b70df5d5&n=T&l=tips&o=50222 or send a blank email to leave-50222-13090.68da6e6e5325aa33287ff385b70df...@fsulist.frostburg.edu
