Re: [tips] Has Anyone Done a Content & Stylistic Analysis of Tweets?

[Mike Palij]

On Sat, 14 Jan 2017 10:14:49 -0800, Gerald L. Peterson wrote:

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?


I don't have any connection to the SRC but a search of their website and
a more general google search does not provide any hits involving tweets
or twitter.  It is possible that there is such research that hasn't been
published yet or, if published, is in another language.  There is a 
paper
the examines tweets and other data from the "Great East Japan 
Earthquake"
and though it is unaffiliated with the SRC it does cite an SRC 
publication

that reports a survey of the people affected by the earthquake but the
paper is in Japanese.  The original article is available here:
https://www.researchgate.net/publication/29901_Behaviour_Analysis_Using_Tweet_Data_and_geo-tag_Data_in_a_Natural_Disaster

The SRC report in the reference list is identified as "Survey Research
Center 2011" and a weblink is provided to the report. So, if you can
read Japanese, one might be able to figure out if the SRC used tweet
data in this instance.

-Mike Palij
New York University
m...@nyu.edu



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Re: [tips] Has Anyone Done a Content & Stylistic Analysis of Tweets?

[Gerald L. Peterson]

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  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 +, 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/met099
> 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 affecte

Re:[tips] Has Anyone Done a Content & Stylistic Analysis of Tweets?

[Mike Palij]

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 +, 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/met099
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

P.S.  Maybe out Canadian colleagues can do a LIWC analysis
of tweets before and after the election, eh? ;

RE: [tips] Has Anyone Done a Content & Stylistic Analysis of Tweets?

[Jim Clark]

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

Jim

Jim Clark
Professor & Chair of Psychology
University of Winnipeg
204-786-9757
Room 4L41A (4th Floor Lockhart)
www.uwinnipeg.ca/~clark<http://www.uwinnipeg.ca/~clark>


From: Carol DeVolder [mailto:devoldercar...@gmail.com]
Sent: January-13-17 6:30 PM
To: Teaching in the Psychological Sciences (TIPS)
Subject: Re: [tips] Has Anyone Done a Content & Stylistic Analysis of Tweets?



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 mailto:m...@nyu.edu>> 
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/met099
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? ;-)





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Re: [tips] Has Anyone Done a Content & Stylistic Analysis of Tweets?

[Carol DeVolder]

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/met099
> 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
>
> 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: devoldercar...@gmail.com.
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-- 
Carol DeVolder, Ph.D.
Professor of Psychology
St. Ambrose University
518 West Locust Street
Davenport, Iowa  52803
563-333-6482

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Re: [tips] Has Anyone Done a Content & Stylistic Analysis of Tweets?

[Mike Palij]

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/met099 

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

P.S.  Maybe out Canadian colleagues can do a LIWC analysis
of tweets before and after the election, eh? ;-)





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Re: [tips] Has Anyone Done a Content & Stylistic Analysis of Tweets?

[Claudia Stanny]

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.

A time series component might be an interesting twist.

Best wishes for the new year to my fellow tipsters.

Claudia

_

Claudia J. Stanny, Ph.D.
Director
Center for University Teaching, Learning, and Assessment
BLDG 53 Suite 201
University of West Florida
Pensacola, FL  32514

Phone:   (850) 857-6355 (direct) or  473-7435 (CUTLA)

csta...@uwf.edu

CUTLA Web Site: http://uwf.edu/offices/cutla/ 


On Tue, Dec 27, 2016 at 9:19 AM, Mike Palij  wrote:

> I don't know about anyone else but i am getting increasing irritated
> by Voldemort's tweets.  Not so much for the content -- which is bad
> but I can deal with intellectually -- but the style of expression that
> reminds me of junior high/high school "commentary".  I assume
> that people have done frequency analyses of word appearance
> and have created word clouds but I was wondering if anyone has
> used the software that analyzes the educational level of the text
> (e.g., popular newspapers typically have articles/features that are
> oriented towards, say, 10th graders).  I understand that there is
> a 140 character limit on tweets but there is a world of difference
> between a Haiku and the verbal diarrhea that some spew. So,
> does anyone know of recent studies?  I assume that people will
> write dissertations about Voldemort's tweets ranging from content
> analyses to markers of potential psychopathology but that's off
> into the future (unless Twitter goes out of business soon; one
> wonders what Voldemort would do then at 3am?).
>
> --Mike Palij
> New York University
> m...@nyu.edu
>
>
> ---
> You are currently subscribed to tips as: csta...@uwf.edu.
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