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? ;-)
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