SlideShare a Scribd company logo
1 of 48
e Prevalence of Political Discourse
              in Non-Political Blogs


Sean A. Munson, Paul Resnick
School of Information, University of Michigan
Concerns about homophily
                       in online political discourse
                       •  Political bloggers predominantly link
                          to like-minded bloggers (Adamic &
                          Glance 2005)

                       •  High levels of agreement in comment
                          threads on many blogs, including
                          political blogs (Gilbert et al 2009)
                       •  Challenge aversion prevalent in
                          preferences for political news
Adamic & Glance 2005      aggregators (Munson & Resnick 2010)
!"#$%"&'()$




)(.$%(&).$012/.$   *+,+-'./$   !"#$%"&'()$
!"#$%"&'()$




)(.$%(&).$012/.$   *+,+-'./$   !"#$%"&'()$
3-4562'67)$




              87"19$:&;-9&/$




<3$=-'-9."$                    >16&9?@$
3-4562'67)$




              87"19$:&;-9&/$




<3$=-'-9."$                    >16&9?@$
3-4562'67)$




People who come together for other reasons
•  may be more politically diverse
•  listen and frame arguments to protect their relationships
                    87"19$:&;-9&/$




… but they may also avoid political discussion or disagreement,
also to protect relationships.




              <3$=-'-9."$                                      >16&9?@$
signs that politics is not taboo
in non-political spaces online.

 •  Discussion of political candidates by Twitter users
   (Tumasjan et al 2010; Diakopoulos & Shamma 2010; Conover et al 2011)

 •  8% of US adults posted political content to a social
    network site during 2010 midterm elections, 11%
    discovered for whom their friends voted (Smith/Pew 2011)

 •  People say they encounter cross-cutting political
    discussion online, but in non-political spaces (Wojcieszak &
   Mutz 2009)
… but some cautions


 •  Facebook users underestimate their friends’ political
    diversity – is this a sign they don’t talk about it?
   (Goel, Mason, Watts 2010)

 •  Posting political, partisan messages has been cited as
    one of the top reasons for unfollowing or unfriending
    people on Facebook or Twitter.
   (Sibuna and Walczak 2010; Kwak, Chun, Moon 2011)
questions for our study

 •  How prevalent are political blog posts on non-
    political blogs?

 •  What is the distribution of political blog posts across
    di erent categories of blogs?

 •  When readers of non-political blogs encounter
    political posts, do they treat them as taboo, or do they
    engage with the political content of the post?
sample of blogs
Poll Blogger.com’s recently updated list. 23,904 blogs
6-20 January 2008
Kept only blogs that:
•  had at least 5 posts,
•  were written in English, and
•  had existed since at least 31 August 2007.
Poll Blogger.com’s recently updated list. 23,904 blogs




Research team inspects & eliminates       8,861 blogs
spam blogs and blogs only partially in
English.




                                          stick gures from XKCD
Poll Blogger.com’s recently updated list. 23,904 blogs




Research team inspects & eliminates       8,861 blogs
spam blogs and blogs only partially in
English.



Code posts as political / nonpolitical,   8,765 blogs
classify blogs by genre. Eliminate        2.3M posts
additional spam & partially English
blogs.
classifying posts as political or not
Broad de nition of political: any mention of public policy,
campaigns, and elected or appointed o cials, and did not
restrict this de nition to US politics.
classifying posts as political or not
Broad de nition of political: any mention of public policy,
campaigns, and elected or appointed o cials, and did not
restrict this de nition to US politics.


        Research team categorized 6,691 posts as political
        or not. (oversampled political posts; κ = 0.969)
classifying posts as political or not
Broad de nition of political: any mention of public policy,
campaigns, and elected or appointed o cials, and did not
restrict this de nition to US politics.


        Research team categorized 6,691 posts as political
        or not. (oversampled political posts; κ = 0.969)



         Used to train multinomial naïve Bayes classi er, classify
         remaining posts. (κ = 0.902)

         217,727 political posts and 2,136,551 non-political posts.
estimating prevalence
Simple tally is problematic:
•  overestimate percent political on blogs with few political
   posts (more opportunities for false positives)
•  Underestimate political posts on blogs with many political
   posts (more opportunities for false negatives)
estimating prevalence
Simple tally is problematic:
•  overestimate percent political on blogs with few political
   posts (more opportunities for false positives)
•  Underestimate political posts on blogs with many political
   posts (more opportunities for false negatives)

Consider a blog that is always political:
Political posts"
                                            False negatives (12.6%)"


Consider a blog that is never political:
Non-political posts"
                                            False positives (0.5%)"
estimating prevalence
Simple tally is problematic:
•  overestimate percent political on blogs with few political
   posts (more opportunities for false positives)
•  Underestimate political posts on blogs with many political
   posts (more opportunities for false negatives)


When reporting about blogs or bins, we handle this with
revised estimates (p*):
        prevalence ! (1! specificity)
   p* =
        sensitivity ! (1! specificity)        (Zhou et al 2002)
categorizing blogs

                     Classify blogs into seven categories: diary,
                     hobby & fan, professional & sales, politics,
                     religion, civic & issue, health &wellness,
                     and ethnic / cultural.

                     At least 5 categorizations per blog,
        +            determine nal category with get-
get-another-label	   another-label (Sheng, Provost, Ipeirotis 2008)

                     Check against ratings from research team
                     (overall κ = 0.72)
coding comments

    244 threads classi ed by research team.




    Inter-rater reliability on 56 comments on 42 blog posts.
coding comments

    244 threads classi ed by research team.




    Inter-rater reliability on 56 comments on 42 blog posts.
coding comments

    244 threads classi ed by research team.




    Inter-rater reliability on 56 comments on 42 blog posts.
results
overall prevalence | prevalence by category | engagement
results
overall prevalence | prevalence by category | engagement
prevalence of political posts
prevalence of political posts



               ~25% of political blog
               posts come from
               blogs that talk about
               politics less than 20%
               of the time. "
prevalence of political posts by day
                             US election day"
        Limited to posts
        from non-political
        blogs.




                                                Start of US
                                                presidential
                                                primary season"
results
overall prevalence | prevalence by category | engagement
categories: descriptions & summary statistics
categories: descriptions & summary statistics
categories: descriptions & summary statistics
prevalence of political
posts by category
prevalence of political
posts by category
prevalence of political
posts by category
prevalence of political
posts by category
prevalence of political
posts by category
results
overall prevalence | prevalence by category | engagement
mean comments per post
mean comments per post




expected comments per post




                  F(4, 8764) = 3.862e+05 (p<0.0001); adjusted R2 = 0.3962.
engagement & agreement
Among 990 comments on 244 political posts:
engagement & agreement
Among 990 comments on 244 political posts:
this is a start. (and a challenge.)
this is a start. (and a challenge.)
                   ere’s a lot of political talk
                happening on non-political
                blogs.
this is a start. (and a challenge.)
                   ere’s a lot of political talk
                happening on non-political
                blogs.


                Not taboo: readers engage with
                this political content in replies.
this is a start. (and a challenge.)
                   ere’s a lot of political talk
                happening on non-political
                blogs.


                Not taboo: readers engage with
                this political content in replies.




?
                What is the actual discourse
                quality? Civility? Arguments
                expressed?

                How does this stack up against
                other spaces?
e Prevalence of Political Discourse
in Non-Political Blogs

Sean A. Munson     @smunson           samunson@umich.edu
Paul Resnick       @presnick          presnick@umich.edu

balance.projects.si.umich.edu

Funded by the National Science Foundation under award IIS-0916099
and a Yahoo! Key Technical Challenge Grant.

  anks to Liz Aderhold, Erica Willar, and Emily Rosengren.

More Related Content

What's hot

Data analysis regression paper
Data analysis regression paperData analysis regression paper
Data analysis regression paperChris Dombrowski
 
Public Opinion Landscape: Election 2016
Public Opinion Landscape: Election 2016Public Opinion Landscape: Election 2016
Public Opinion Landscape: Election 2016GloverParkGroup
 
Public Opinion Landscape - Election 2016 10.13.15
Public Opinion Landscape - Election 2016 10.13.15Public Opinion Landscape - Election 2016 10.13.15
Public Opinion Landscape - Election 2016 10.13.15GloverParkGroup
 
Balance of power. Report final (june, 23, 2015)
Balance of power. Report final (june, 23, 2015)Balance of power. Report final (june, 23, 2015)
Balance of power. Report final (june, 23, 2015)Ysrrael Camero
 
Americans, Japanese: Mutual Respect 70 Years After the End of WWII
Americans, Japanese: Mutual Respect 70 Years After the End of WWIIAmericans, Japanese: Mutual Respect 70 Years After the End of WWII
Americans, Japanese: Mutual Respect 70 Years After the End of WWIIPew Research Center
 
The 2016 election american foreign and economic policy views
The 2016 election american foreign and economic policy viewsThe 2016 election american foreign and economic policy views
The 2016 election american foreign and economic policy viewsPew Research Center
 
Pew Research Center 2015 India Presentation
Pew Research Center 2015 India PresentationPew Research Center 2015 India Presentation
Pew Research Center 2015 India PresentationPew Research Center
 
Faith and freedom_coalition_national_survey_-_november_2,_2010
Faith and freedom_coalition_national_survey_-_november_2,_2010Faith and freedom_coalition_national_survey_-_november_2,_2010
Faith and freedom_coalition_national_survey_-_november_2,_2010App Development
 
Pew Research Center 2015 U.S.-Germany Presentation
Pew Research Center 2015 U.S.-Germany PresentationPew Research Center 2015 U.S.-Germany Presentation
Pew Research Center 2015 U.S.-Germany PresentationPew Research Center
 
Political Ideological Divides and Actual Views
Political Ideological Divides and Actual ViewsPolitical Ideological Divides and Actual Views
Political Ideological Divides and Actual ViewsMichael Silverman
 
GPG Public Opinion Landscape (March 2018)
GPG Public Opinion Landscape (March 2018)GPG Public Opinion Landscape (March 2018)
GPG Public Opinion Landscape (March 2018)GloverParkGroup
 
Public Opinion Landscape - Election 2016
Public Opinion Landscape  - Election 2016 Public Opinion Landscape  - Election 2016
Public Opinion Landscape - Election 2016 GloverParkGroup
 
US Political Party Mentions
US Political Party MentionsUS Political Party Mentions
US Political Party MentionsTonya Green
 
GPG’s Initial Post Election Analysis
GPG’s Initial Post Election AnalysisGPG’s Initial Post Election Analysis
GPG’s Initial Post Election AnalysisGloverParkGroup
 
The Revolutionwillbe Networked
The Revolutionwillbe NetworkedThe Revolutionwillbe Networked
The Revolutionwillbe Networkedkylewelch
 
American Public Opinion Landscape – International Affairs
American Public Opinion Landscape – International AffairsAmerican Public Opinion Landscape – International Affairs
American Public Opinion Landscape – International AffairsGloverParkGroup
 
The Public Opinion Landscape: From Obama to Trump
The Public Opinion Landscape: From Obama to TrumpThe Public Opinion Landscape: From Obama to Trump
The Public Opinion Landscape: From Obama to TrumpGloverParkGroup
 

What's hot (20)

Data analysis regression paper
Data analysis regression paperData analysis regression paper
Data analysis regression paper
 
Public Opinion Landscape: Election 2016
Public Opinion Landscape: Election 2016Public Opinion Landscape: Election 2016
Public Opinion Landscape: Election 2016
 
Public Opinion Landscape - Election 2016 10.13.15
Public Opinion Landscape - Election 2016 10.13.15Public Opinion Landscape - Election 2016 10.13.15
Public Opinion Landscape - Election 2016 10.13.15
 
Balance of power. Report final (june, 23, 2015)
Balance of power. Report final (june, 23, 2015)Balance of power. Report final (june, 23, 2015)
Balance of power. Report final (june, 23, 2015)
 
Americans, Japanese: Mutual Respect 70 Years After the End of WWII
Americans, Japanese: Mutual Respect 70 Years After the End of WWIIAmericans, Japanese: Mutual Respect 70 Years After the End of WWII
Americans, Japanese: Mutual Respect 70 Years After the End of WWII
 
twitterposter2
twitterposter2twitterposter2
twitterposter2
 
The 2016 election american foreign and economic policy views
The 2016 election american foreign and economic policy viewsThe 2016 election american foreign and economic policy views
The 2016 election american foreign and economic policy views
 
Pew Research Center 2015 India Presentation
Pew Research Center 2015 India PresentationPew Research Center 2015 India Presentation
Pew Research Center 2015 India Presentation
 
Faith and freedom_coalition_national_survey_-_november_2,_2010
Faith and freedom_coalition_national_survey_-_november_2,_2010Faith and freedom_coalition_national_survey_-_november_2,_2010
Faith and freedom_coalition_national_survey_-_november_2,_2010
 
Pew Research Center 2015 U.S.-Germany Presentation
Pew Research Center 2015 U.S.-Germany PresentationPew Research Center 2015 U.S.-Germany Presentation
Pew Research Center 2015 U.S.-Germany Presentation
 
Political Ideological Divides and Actual Views
Political Ideological Divides and Actual ViewsPolitical Ideological Divides and Actual Views
Political Ideological Divides and Actual Views
 
GPG Public Opinion Landscape (March 2018)
GPG Public Opinion Landscape (March 2018)GPG Public Opinion Landscape (March 2018)
GPG Public Opinion Landscape (March 2018)
 
Public Opinion Landscape - Election 2016
Public Opinion Landscape  - Election 2016 Public Opinion Landscape  - Election 2016
Public Opinion Landscape - Election 2016
 
Trump's First 100 Days
Trump's First 100 DaysTrump's First 100 Days
Trump's First 100 Days
 
US Political Party Mentions
US Political Party MentionsUS Political Party Mentions
US Political Party Mentions
 
Monmouth Indiana Poll
Monmouth Indiana PollMonmouth Indiana Poll
Monmouth Indiana Poll
 
GPG’s Initial Post Election Analysis
GPG’s Initial Post Election AnalysisGPG’s Initial Post Election Analysis
GPG’s Initial Post Election Analysis
 
The Revolutionwillbe Networked
The Revolutionwillbe NetworkedThe Revolutionwillbe Networked
The Revolutionwillbe Networked
 
American Public Opinion Landscape – International Affairs
American Public Opinion Landscape – International AffairsAmerican Public Opinion Landscape – International Affairs
American Public Opinion Landscape – International Affairs
 
The Public Opinion Landscape: From Obama to Trump
The Public Opinion Landscape: From Obama to TrumpThe Public Opinion Landscape: From Obama to Trump
The Public Opinion Landscape: From Obama to Trump
 

Viewers also liked

Informationsanlässe der Suva Basel zum Thema: Unfälle um jeden Preis verhinde...
Informationsanlässe der Suva Basel zum Thema: Unfälle um jeden Preis verhinde...Informationsanlässe der Suva Basel zum Thema: Unfälle um jeden Preis verhinde...
Informationsanlässe der Suva Basel zum Thema: Unfälle um jeden Preis verhinde...Suva Präsentationen und Broschüren
 
Matt Kaufman @ All Things DATA 2016
Matt Kaufman @ All Things DATA 2016Matt Kaufman @ All Things DATA 2016
Matt Kaufman @ All Things DATA 2016Shuki Mann
 
Taller archivo tecnologos g.u.a.
Taller archivo tecnologos g.u.a.Taller archivo tecnologos g.u.a.
Taller archivo tecnologos g.u.a.ginekpao9512
 
~~ Class snap photo for the big hollywood actor mr. mark whalberg ~~
~~ Class snap photo  for the  big hollywood  actor mr. mark whalberg ~~~~ Class snap photo  for the  big hollywood  actor mr. mark whalberg ~~
~~ Class snap photo for the big hollywood actor mr. mark whalberg ~~Deepak Somaji Sawant
 
130220 kennebec valley chamber presentation
130220 kennebec valley chamber presentation130220 kennebec valley chamber presentation
130220 kennebec valley chamber presentationMaine Cahc
 
My presentacion
My presentacionMy presentacion
My presentacionmaryalvear
 
How To Grow Your User Base?
How To Grow Your User Base?How To Grow Your User Base?
How To Grow Your User Base?Ido Green
 
Recorrido de la casa a la universidad urbanismo
Recorrido de la casa a la universidad urbanismoRecorrido de la casa a la universidad urbanismo
Recorrido de la casa a la universidad urbanismoJuan Padilla
 
Big data in the cloud - welcome to cost oriented design
Big data in the cloud - welcome to cost oriented designBig data in the cloud - welcome to cost oriented design
Big data in the cloud - welcome to cost oriented designArnon Rotem-Gal-Oz
 
Sommeil réparateur, travail efficace – Suva – SuvaPro
Sommeil réparateur, travail efficace – Suva – SuvaProSommeil réparateur, travail efficace – Suva – SuvaPro
Sommeil réparateur, travail efficace – Suva – SuvaProSuva présentations et brochures
 

Viewers also liked (16)

Informationsanlässe der Suva Basel zum Thema: Unfälle um jeden Preis verhinde...
Informationsanlässe der Suva Basel zum Thema: Unfälle um jeden Preis verhinde...Informationsanlässe der Suva Basel zum Thema: Unfälle um jeden Preis verhinde...
Informationsanlässe der Suva Basel zum Thema: Unfälle um jeden Preis verhinde...
 
Ficha analogías
Ficha analogíasFicha analogías
Ficha analogías
 
Matt Kaufman @ All Things DATA 2016
Matt Kaufman @ All Things DATA 2016Matt Kaufman @ All Things DATA 2016
Matt Kaufman @ All Things DATA 2016
 
Taller archivo tecnologos g.u.a.
Taller archivo tecnologos g.u.a.Taller archivo tecnologos g.u.a.
Taller archivo tecnologos g.u.a.
 
Moral
MoralMoral
Moral
 
~~ Class snap photo for the big hollywood actor mr. mark whalberg ~~
~~ Class snap photo  for the  big hollywood  actor mr. mark whalberg ~~~~ Class snap photo  for the  big hollywood  actor mr. mark whalberg ~~
~~ Class snap photo for the big hollywood actor mr. mark whalberg ~~
 
130220 kennebec valley chamber presentation
130220 kennebec valley chamber presentation130220 kennebec valley chamber presentation
130220 kennebec valley chamber presentation
 
My presentacion
My presentacionMy presentacion
My presentacion
 
How To Grow Your User Base?
How To Grow Your User Base?How To Grow Your User Base?
How To Grow Your User Base?
 
Recorrido de la casa a la universidad urbanismo
Recorrido de la casa a la universidad urbanismoRecorrido de la casa a la universidad urbanismo
Recorrido de la casa a la universidad urbanismo
 
Big data in the cloud - welcome to cost oriented design
Big data in the cloud - welcome to cost oriented designBig data in the cloud - welcome to cost oriented design
Big data in the cloud - welcome to cost oriented design
 
Treuhänderanlass 20.09.2016: Revisionen der Suva
Treuhänderanlass 20.09.2016: Revisionen der SuvaTreuhänderanlass 20.09.2016: Revisionen der Suva
Treuhänderanlass 20.09.2016: Revisionen der Suva
 
Sommeil réparateur, travail efficace – Suva – SuvaPro
Sommeil réparateur, travail efficace – Suva – SuvaProSommeil réparateur, travail efficace – Suva – SuvaPro
Sommeil réparateur, travail efficace – Suva – SuvaPro
 
Treuhänderanlass 20.09.2016: Unternehmensgründung
Treuhänderanlass 20.09.2016: UnternehmensgründungTreuhänderanlass 20.09.2016: Unternehmensgründung
Treuhänderanlass 20.09.2016: Unternehmensgründung
 
Tejido adiposo_jmarcos
Tejido adiposo_jmarcosTejido adiposo_jmarcos
Tejido adiposo_jmarcos
 
Tejido muscular_Lrodriguez
Tejido muscular_LrodriguezTejido muscular_Lrodriguez
Tejido muscular_Lrodriguez
 

Similar to The Prevalence of Political Discourse in Non-Political Blogs

The Future of Headlines? You'll Never Believe How People Reacted to Clickbait
The Future of Headlines? You'll Never Believe How People Reacted to ClickbaitThe Future of Headlines? You'll Never Believe How People Reacted to Clickbait
The Future of Headlines? You'll Never Believe How People Reacted to ClickbaitKatie Steiner
 
The Pursuit of HappinessResearch ProjectCh.docx
The Pursuit of HappinessResearch ProjectCh.docxThe Pursuit of HappinessResearch ProjectCh.docx
The Pursuit of HappinessResearch ProjectCh.docxarnoldmeredith47041
 
Blogs asmediasources hicss-presentation2010
Blogs asmediasources hicss-presentation2010Blogs asmediasources hicss-presentation2010
Blogs asmediasources hicss-presentation2010Karine Nahon
 
Social Media Content Analysis: Ossoff Threat Assessment 2017.05.03
Social Media Content Analysis: Ossoff Threat Assessment  2017.05.03Social Media Content Analysis: Ossoff Threat Assessment  2017.05.03
Social Media Content Analysis: Ossoff Threat Assessment 2017.05.03Alan Rosenblatt
 
Assignment 1 Political Belief Profile The relationship betwee.docx
Assignment 1 Political Belief Profile The relationship betwee.docxAssignment 1 Political Belief Profile The relationship betwee.docx
Assignment 1 Political Belief Profile The relationship betwee.docxdaniatrappit
 
Assignment 1 Political Belief ProfileThe relationship between pub.docx
Assignment 1 Political Belief ProfileThe relationship between pub.docxAssignment 1 Political Belief ProfileThe relationship between pub.docx
Assignment 1 Political Belief ProfileThe relationship between pub.docxBenitoSumpter862
 
Assignment 1 Political Belief ProfileThe relationship between pub.docx
Assignment 1 Political Belief ProfileThe relationship between pub.docxAssignment 1 Political Belief ProfileThe relationship between pub.docx
Assignment 1 Political Belief ProfileThe relationship between pub.docxfelicitytaft14745
 
Language of Politics on Twitter - 03 Analysis
Language of Politics on Twitter - 03 AnalysisLanguage of Politics on Twitter - 03 Analysis
Language of Politics on Twitter - 03 AnalysisYelena Mejova
 
PoliticsInColor.com Sponsorship Presentation Rev3
PoliticsInColor.com Sponsorship Presentation Rev3PoliticsInColor.com Sponsorship Presentation Rev3
PoliticsInColor.com Sponsorship Presentation Rev3Neil Foote
 
Option 2 Comparing Political Rhetoric According to the Department o.docx
Option 2 Comparing Political Rhetoric According to the Department o.docxOption 2 Comparing Political Rhetoric According to the Department o.docx
Option 2 Comparing Political Rhetoric According to the Department o.docxpickersgillkayne
 
Virality of Political Information
Virality of Political Information Virality of Political Information
Virality of Political Information Karine Nahon
 
Brandon’s Post· Identify the global societal issue you ha.docx
Brandon’s Post· Identify the global societal issue you ha.docxBrandon’s Post· Identify the global societal issue you ha.docx
Brandon’s Post· Identify the global societal issue you ha.docxrichardnorman90310
 
Understanding The Big Data Mess
Understanding The Big Data MessUnderstanding The Big Data Mess
Understanding The Big Data MessCision
 
Is there ideological bias in psychology?
Is there ideological bias in psychology?Is there ideological bias in psychology?
Is there ideological bias in psychology?Jay Van Bavel
 
Course PlanAssessing Needs(To be completed in Unit IV Inclu.docx
Course PlanAssessing Needs(To be completed in Unit IV Inclu.docxCourse PlanAssessing Needs(To be completed in Unit IV Inclu.docx
Course PlanAssessing Needs(To be completed in Unit IV Inclu.docxvanesaburnand
 
#WhyIStayed #WhyILeft social media analysis
#WhyIStayed #WhyILeft social media analysis#WhyIStayed #WhyILeft social media analysis
#WhyIStayed #WhyILeft social media analysisSoCo Partners
 
Ausvotes
AusvotesAusvotes
Ausvoteslchu125
 

Similar to The Prevalence of Political Discourse in Non-Political Blogs (20)

The Future of Headlines? You'll Never Believe How People Reacted to Clickbait
The Future of Headlines? You'll Never Believe How People Reacted to ClickbaitThe Future of Headlines? You'll Never Believe How People Reacted to Clickbait
The Future of Headlines? You'll Never Believe How People Reacted to Clickbait
 
The Pursuit of HappinessResearch ProjectCh.docx
The Pursuit of HappinessResearch ProjectCh.docxThe Pursuit of HappinessResearch ProjectCh.docx
The Pursuit of HappinessResearch ProjectCh.docx
 
Blogs asmediasources hicss-presentation2010
Blogs asmediasources hicss-presentation2010Blogs asmediasources hicss-presentation2010
Blogs asmediasources hicss-presentation2010
 
Social Media Content Analysis: Ossoff Threat Assessment 2017.05.03
Social Media Content Analysis: Ossoff Threat Assessment  2017.05.03Social Media Content Analysis: Ossoff Threat Assessment  2017.05.03
Social Media Content Analysis: Ossoff Threat Assessment 2017.05.03
 
Assignment 1 Political Belief Profile The relationship betwee.docx
Assignment 1 Political Belief Profile The relationship betwee.docxAssignment 1 Political Belief Profile The relationship betwee.docx
Assignment 1 Political Belief Profile The relationship betwee.docx
 
Assignment 1 Political Belief ProfileThe relationship between pub.docx
Assignment 1 Political Belief ProfileThe relationship between pub.docxAssignment 1 Political Belief ProfileThe relationship between pub.docx
Assignment 1 Political Belief ProfileThe relationship between pub.docx
 
Assignment 1 Political Belief ProfileThe relationship between pub.docx
Assignment 1 Political Belief ProfileThe relationship between pub.docxAssignment 1 Political Belief ProfileThe relationship between pub.docx
Assignment 1 Political Belief ProfileThe relationship between pub.docx
 
100609 Gov Public Opinion 100m
100609 Gov Public Opinion 100m100609 Gov Public Opinion 100m
100609 Gov Public Opinion 100m
 
Language of Politics on Twitter - 03 Analysis
Language of Politics on Twitter - 03 AnalysisLanguage of Politics on Twitter - 03 Analysis
Language of Politics on Twitter - 03 Analysis
 
PoliticsInColor.com Sponsorship Presentation Rev3
PoliticsInColor.com Sponsorship Presentation Rev3PoliticsInColor.com Sponsorship Presentation Rev3
PoliticsInColor.com Sponsorship Presentation Rev3
 
Option 2 Comparing Political Rhetoric According to the Department o.docx
Option 2 Comparing Political Rhetoric According to the Department o.docxOption 2 Comparing Political Rhetoric According to the Department o.docx
Option 2 Comparing Political Rhetoric According to the Department o.docx
 
Sample Essay Outline
Sample Essay OutlineSample Essay Outline
Sample Essay Outline
 
Virality of Political Information
Virality of Political Information Virality of Political Information
Virality of Political Information
 
Brandon’s Post· Identify the global societal issue you ha.docx
Brandon’s Post· Identify the global societal issue you ha.docxBrandon’s Post· Identify the global societal issue you ha.docx
Brandon’s Post· Identify the global societal issue you ha.docx
 
Understanding The Big Data Mess
Understanding The Big Data MessUnderstanding The Big Data Mess
Understanding The Big Data Mess
 
Is there ideological bias in psychology?
Is there ideological bias in psychology?Is there ideological bias in psychology?
Is there ideological bias in psychology?
 
Course PlanAssessing Needs(To be completed in Unit IV Inclu.docx
Course PlanAssessing Needs(To be completed in Unit IV Inclu.docxCourse PlanAssessing Needs(To be completed in Unit IV Inclu.docx
Course PlanAssessing Needs(To be completed in Unit IV Inclu.docx
 
#WhyIStayed #WhyILeft social media analysis
#WhyIStayed #WhyILeft social media analysis#WhyIStayed #WhyILeft social media analysis
#WhyIStayed #WhyILeft social media analysis
 
WHYISTAYED Hashtag analysis
WHYISTAYED Hashtag analysisWHYISTAYED Hashtag analysis
WHYISTAYED Hashtag analysis
 
Ausvotes
AusvotesAusvotes
Ausvotes
 

More from Sean Munson

Encouraging Reading of Diverse Political Viewpoints with a Browser Widget
Encouraging Reading of Diverse Political Viewpoints with a Browser WidgetEncouraging Reading of Diverse Political Viewpoints with a Browser Widget
Encouraging Reading of Diverse Political Viewpoints with a Browser WidgetSean Munson
 
Exploring Goal-setting, Rewards, Self-monitoring, and Sharing to Motivate Phy...
Exploring Goal-setting, Rewards, Self-monitoring, and Sharing to Motivate Phy...Exploring Goal-setting, Rewards, Self-monitoring, and Sharing to Motivate Phy...
Exploring Goal-setting, Rewards, Self-monitoring, and Sharing to Motivate Phy...Sean Munson
 
Happier Together: Integrating a Wellness Application Into a Social Network Site
Happier Together: Integrating a Wellness Application Into a Social Network SiteHappier Together: Integrating a Wellness Application Into a Social Network Site
Happier Together: Integrating a Wellness Application Into a Social Network SiteSean Munson
 
Challenges and Opportunities in Using Online Social Networks for Health (CSCW...
Challenges and Opportunities in Using Online Social Networks for Health (CSCW...Challenges and Opportunities in Using Online Social Networks for Health (CSCW...
Challenges and Opportunities in Using Online Social Networks for Health (CSCW...Sean Munson
 
Thanks and Tweets: Comparing Two Public Displays (CSCW 2011)
Thanks and Tweets: Comparing Two Public Displays (CSCW 2011)Thanks and Tweets: Comparing Two Public Displays (CSCW 2011)
Thanks and Tweets: Comparing Two Public Displays (CSCW 2011)Sean Munson
 
Presenting Diverse Political Opinions: How and How Much (CHI 2010)
Presenting Diverse Political Opinions: How and How Much (CHI 2010)Presenting Diverse Political Opinions: How and How Much (CHI 2010)
Presenting Diverse Political Opinions: How and How Much (CHI 2010)Sean Munson
 
Attitudes toward Online Availability of US Public Records
Attitudes toward Online Availability of US Public RecordsAttitudes toward Online Availability of US Public Records
Attitudes toward Online Availability of US Public RecordsSean Munson
 
Building Wellness Interventions Into Facebook
Building Wellness Interventions Into Facebook Building Wellness Interventions Into Facebook
Building Wellness Interventions Into Facebook Sean Munson
 
Mechanical Turk for Social Science Introduction
Mechanical Turk for Social Science IntroductionMechanical Turk for Social Science Introduction
Mechanical Turk for Social Science IntroductionSean Munson
 
Motivating and Enabling Organizational Memory with a Workgroup Wiki
Motivating and Enabling Organizational Memory with a Workgroup WikiMotivating and Enabling Organizational Memory with a Workgroup Wiki
Motivating and Enabling Organizational Memory with a Workgroup WikiSean Munson
 
Sidelines: An Algorithm for Increasing Diversity in News and Opinion Aggregators
Sidelines: An Algorithm for Increasing Diversity in News and Opinion AggregatorsSidelines: An Algorithm for Increasing Diversity in News and Opinion Aggregators
Sidelines: An Algorithm for Increasing Diversity in News and Opinion AggregatorsSean Munson
 

More from Sean Munson (11)

Encouraging Reading of Diverse Political Viewpoints with a Browser Widget
Encouraging Reading of Diverse Political Viewpoints with a Browser WidgetEncouraging Reading of Diverse Political Viewpoints with a Browser Widget
Encouraging Reading of Diverse Political Viewpoints with a Browser Widget
 
Exploring Goal-setting, Rewards, Self-monitoring, and Sharing to Motivate Phy...
Exploring Goal-setting, Rewards, Self-monitoring, and Sharing to Motivate Phy...Exploring Goal-setting, Rewards, Self-monitoring, and Sharing to Motivate Phy...
Exploring Goal-setting, Rewards, Self-monitoring, and Sharing to Motivate Phy...
 
Happier Together: Integrating a Wellness Application Into a Social Network Site
Happier Together: Integrating a Wellness Application Into a Social Network SiteHappier Together: Integrating a Wellness Application Into a Social Network Site
Happier Together: Integrating a Wellness Application Into a Social Network Site
 
Challenges and Opportunities in Using Online Social Networks for Health (CSCW...
Challenges and Opportunities in Using Online Social Networks for Health (CSCW...Challenges and Opportunities in Using Online Social Networks for Health (CSCW...
Challenges and Opportunities in Using Online Social Networks for Health (CSCW...
 
Thanks and Tweets: Comparing Two Public Displays (CSCW 2011)
Thanks and Tweets: Comparing Two Public Displays (CSCW 2011)Thanks and Tweets: Comparing Two Public Displays (CSCW 2011)
Thanks and Tweets: Comparing Two Public Displays (CSCW 2011)
 
Presenting Diverse Political Opinions: How and How Much (CHI 2010)
Presenting Diverse Political Opinions: How and How Much (CHI 2010)Presenting Diverse Political Opinions: How and How Much (CHI 2010)
Presenting Diverse Political Opinions: How and How Much (CHI 2010)
 
Attitudes toward Online Availability of US Public Records
Attitudes toward Online Availability of US Public RecordsAttitudes toward Online Availability of US Public Records
Attitudes toward Online Availability of US Public Records
 
Building Wellness Interventions Into Facebook
Building Wellness Interventions Into Facebook Building Wellness Interventions Into Facebook
Building Wellness Interventions Into Facebook
 
Mechanical Turk for Social Science Introduction
Mechanical Turk for Social Science IntroductionMechanical Turk for Social Science Introduction
Mechanical Turk for Social Science Introduction
 
Motivating and Enabling Organizational Memory with a Workgroup Wiki
Motivating and Enabling Organizational Memory with a Workgroup WikiMotivating and Enabling Organizational Memory with a Workgroup Wiki
Motivating and Enabling Organizational Memory with a Workgroup Wiki
 
Sidelines: An Algorithm for Increasing Diversity in News and Opinion Aggregators
Sidelines: An Algorithm for Increasing Diversity in News and Opinion AggregatorsSidelines: An Algorithm for Increasing Diversity in News and Opinion Aggregators
Sidelines: An Algorithm for Increasing Diversity in News and Opinion Aggregators
 

Recently uploaded

MuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotes
MuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotesMuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotes
MuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotesManik S Magar
 
UiPath Community: Communication Mining from Zero to Hero
UiPath Community: Communication Mining from Zero to HeroUiPath Community: Communication Mining from Zero to Hero
UiPath Community: Communication Mining from Zero to HeroUiPathCommunity
 
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentEmixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentPim van der Noll
 
Tampa BSides - The No BS SOC (slides from April 6, 2024 talk)
Tampa BSides - The No BS SOC (slides from April 6, 2024 talk)Tampa BSides - The No BS SOC (slides from April 6, 2024 talk)
Tampa BSides - The No BS SOC (slides from April 6, 2024 talk)Mark Simos
 
[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality Assurance[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality AssuranceInflectra
 
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...Nikki Chapple
 
Digital Tools & AI in Career Development
Digital Tools & AI in Career DevelopmentDigital Tools & AI in Career Development
Digital Tools & AI in Career DevelopmentMahmoud Rabie
 
Manual 508 Accessibility Compliance Audit
Manual 508 Accessibility Compliance AuditManual 508 Accessibility Compliance Audit
Manual 508 Accessibility Compliance AuditSkynet Technologies
 
All These Sophisticated Attacks, Can We Really Detect Them - PDF
All These Sophisticated Attacks, Can We Really Detect Them - PDFAll These Sophisticated Attacks, Can We Really Detect Them - PDF
All These Sophisticated Attacks, Can We Really Detect Them - PDFMichael Gough
 
Varsha Sewlal- Cyber Attacks on Critical Critical Infrastructure
Varsha Sewlal- Cyber Attacks on Critical Critical InfrastructureVarsha Sewlal- Cyber Attacks on Critical Critical Infrastructure
Varsha Sewlal- Cyber Attacks on Critical Critical Infrastructureitnewsafrica
 
QCon London: Mastering long-running processes in modern architectures
QCon London: Mastering long-running processes in modern architecturesQCon London: Mastering long-running processes in modern architectures
QCon London: Mastering long-running processes in modern architecturesBernd Ruecker
 
Bridging Between CAD & GIS: 6 Ways to Automate Your Data Integration
Bridging Between CAD & GIS:  6 Ways to Automate Your Data IntegrationBridging Between CAD & GIS:  6 Ways to Automate Your Data Integration
Bridging Between CAD & GIS: 6 Ways to Automate Your Data Integrationmarketing932765
 
Glenn Lazarus- Why Your Observability Strategy Needs Security Observability
Glenn Lazarus- Why Your Observability Strategy Needs Security ObservabilityGlenn Lazarus- Why Your Observability Strategy Needs Security Observability
Glenn Lazarus- Why Your Observability Strategy Needs Security Observabilityitnewsafrica
 
Email Marketing Automation for Bonterra Impact Management (fka Social Solutio...
Email Marketing Automation for Bonterra Impact Management (fka Social Solutio...Email Marketing Automation for Bonterra Impact Management (fka Social Solutio...
Email Marketing Automation for Bonterra Impact Management (fka Social Solutio...Jeffrey Haguewood
 
Genislab builds better products and faster go-to-market with Lean project man...
Genislab builds better products and faster go-to-market with Lean project man...Genislab builds better products and faster go-to-market with Lean project man...
Genislab builds better products and faster go-to-market with Lean project man...Farhan Tariq
 
Français Patch Tuesday - Avril
Français Patch Tuesday - AvrilFrançais Patch Tuesday - Avril
Français Patch Tuesday - AvrilIvanti
 
Modern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
Modern Roaming for Notes and Nomad – Cheaper Faster Better StrongerModern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
Modern Roaming for Notes and Nomad – Cheaper Faster Better Strongerpanagenda
 
Assure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyesAssure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyesThousandEyes
 
Top 10 Hubspot Development Companies in 2024
Top 10 Hubspot Development Companies in 2024Top 10 Hubspot Development Companies in 2024
Top 10 Hubspot Development Companies in 2024TopCSSGallery
 

Recently uploaded (20)

MuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotes
MuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotesMuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotes
MuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotes
 
UiPath Community: Communication Mining from Zero to Hero
UiPath Community: Communication Mining from Zero to HeroUiPath Community: Communication Mining from Zero to Hero
UiPath Community: Communication Mining from Zero to Hero
 
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentEmixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
 
How Tech Giants Cut Corners to Harvest Data for A.I.
How Tech Giants Cut Corners to Harvest Data for A.I.How Tech Giants Cut Corners to Harvest Data for A.I.
How Tech Giants Cut Corners to Harvest Data for A.I.
 
Tampa BSides - The No BS SOC (slides from April 6, 2024 talk)
Tampa BSides - The No BS SOC (slides from April 6, 2024 talk)Tampa BSides - The No BS SOC (slides from April 6, 2024 talk)
Tampa BSides - The No BS SOC (slides from April 6, 2024 talk)
 
[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality Assurance[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality Assurance
 
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
 
Digital Tools & AI in Career Development
Digital Tools & AI in Career DevelopmentDigital Tools & AI in Career Development
Digital Tools & AI in Career Development
 
Manual 508 Accessibility Compliance Audit
Manual 508 Accessibility Compliance AuditManual 508 Accessibility Compliance Audit
Manual 508 Accessibility Compliance Audit
 
All These Sophisticated Attacks, Can We Really Detect Them - PDF
All These Sophisticated Attacks, Can We Really Detect Them - PDFAll These Sophisticated Attacks, Can We Really Detect Them - PDF
All These Sophisticated Attacks, Can We Really Detect Them - PDF
 
Varsha Sewlal- Cyber Attacks on Critical Critical Infrastructure
Varsha Sewlal- Cyber Attacks on Critical Critical InfrastructureVarsha Sewlal- Cyber Attacks on Critical Critical Infrastructure
Varsha Sewlal- Cyber Attacks on Critical Critical Infrastructure
 
QCon London: Mastering long-running processes in modern architectures
QCon London: Mastering long-running processes in modern architecturesQCon London: Mastering long-running processes in modern architectures
QCon London: Mastering long-running processes in modern architectures
 
Bridging Between CAD & GIS: 6 Ways to Automate Your Data Integration
Bridging Between CAD & GIS:  6 Ways to Automate Your Data IntegrationBridging Between CAD & GIS:  6 Ways to Automate Your Data Integration
Bridging Between CAD & GIS: 6 Ways to Automate Your Data Integration
 
Glenn Lazarus- Why Your Observability Strategy Needs Security Observability
Glenn Lazarus- Why Your Observability Strategy Needs Security ObservabilityGlenn Lazarus- Why Your Observability Strategy Needs Security Observability
Glenn Lazarus- Why Your Observability Strategy Needs Security Observability
 
Email Marketing Automation for Bonterra Impact Management (fka Social Solutio...
Email Marketing Automation for Bonterra Impact Management (fka Social Solutio...Email Marketing Automation for Bonterra Impact Management (fka Social Solutio...
Email Marketing Automation for Bonterra Impact Management (fka Social Solutio...
 
Genislab builds better products and faster go-to-market with Lean project man...
Genislab builds better products and faster go-to-market with Lean project man...Genislab builds better products and faster go-to-market with Lean project man...
Genislab builds better products and faster go-to-market with Lean project man...
 
Français Patch Tuesday - Avril
Français Patch Tuesday - AvrilFrançais Patch Tuesday - Avril
Français Patch Tuesday - Avril
 
Modern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
Modern Roaming for Notes and Nomad – Cheaper Faster Better StrongerModern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
Modern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
 
Assure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyesAssure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyes
 
Top 10 Hubspot Development Companies in 2024
Top 10 Hubspot Development Companies in 2024Top 10 Hubspot Development Companies in 2024
Top 10 Hubspot Development Companies in 2024
 

The Prevalence of Political Discourse in Non-Political Blogs

  • 1. e Prevalence of Political Discourse in Non-Political Blogs Sean A. Munson, Paul Resnick School of Information, University of Michigan
  • 2. Concerns about homophily in online political discourse •  Political bloggers predominantly link to like-minded bloggers (Adamic & Glance 2005) •  High levels of agreement in comment threads on many blogs, including political blogs (Gilbert et al 2009) •  Challenge aversion prevalent in preferences for political news Adamic & Glance 2005 aggregators (Munson & Resnick 2010)
  • 3. !"#$%"&'()$ )(.$%(&).$012/.$ *+,+-'./$ !"#$%"&'()$
  • 4. !"#$%"&'()$ )(.$%(&).$012/.$ *+,+-'./$ !"#$%"&'()$
  • 5. 3-4562'67)$ 87"19$:&;-9&/$ <3$=-'-9."$ >16&9?@$
  • 6. 3-4562'67)$ 87"19$:&;-9&/$ <3$=-'-9."$ >16&9?@$
  • 7. 3-4562'67)$ People who come together for other reasons •  may be more politically diverse •  listen and frame arguments to protect their relationships 87"19$:&;-9&/$ … but they may also avoid political discussion or disagreement, also to protect relationships. <3$=-'-9."$ >16&9?@$
  • 8. signs that politics is not taboo in non-political spaces online. •  Discussion of political candidates by Twitter users (Tumasjan et al 2010; Diakopoulos & Shamma 2010; Conover et al 2011) •  8% of US adults posted political content to a social network site during 2010 midterm elections, 11% discovered for whom their friends voted (Smith/Pew 2011) •  People say they encounter cross-cutting political discussion online, but in non-political spaces (Wojcieszak & Mutz 2009)
  • 9. … but some cautions •  Facebook users underestimate their friends’ political diversity – is this a sign they don’t talk about it? (Goel, Mason, Watts 2010) •  Posting political, partisan messages has been cited as one of the top reasons for unfollowing or unfriending people on Facebook or Twitter. (Sibuna and Walczak 2010; Kwak, Chun, Moon 2011)
  • 10. questions for our study •  How prevalent are political blog posts on non- political blogs? •  What is the distribution of political blog posts across di erent categories of blogs? •  When readers of non-political blogs encounter political posts, do they treat them as taboo, or do they engage with the political content of the post?
  • 12. Poll Blogger.com’s recently updated list. 23,904 blogs 6-20 January 2008 Kept only blogs that: •  had at least 5 posts, •  were written in English, and •  had existed since at least 31 August 2007.
  • 13. Poll Blogger.com’s recently updated list. 23,904 blogs Research team inspects & eliminates 8,861 blogs spam blogs and blogs only partially in English. stick gures from XKCD
  • 14. Poll Blogger.com’s recently updated list. 23,904 blogs Research team inspects & eliminates 8,861 blogs spam blogs and blogs only partially in English. Code posts as political / nonpolitical, 8,765 blogs classify blogs by genre. Eliminate 2.3M posts additional spam & partially English blogs.
  • 15. classifying posts as political or not Broad de nition of political: any mention of public policy, campaigns, and elected or appointed o cials, and did not restrict this de nition to US politics.
  • 16. classifying posts as political or not Broad de nition of political: any mention of public policy, campaigns, and elected or appointed o cials, and did not restrict this de nition to US politics. Research team categorized 6,691 posts as political or not. (oversampled political posts; κ = 0.969)
  • 17. classifying posts as political or not Broad de nition of political: any mention of public policy, campaigns, and elected or appointed o cials, and did not restrict this de nition to US politics. Research team categorized 6,691 posts as political or not. (oversampled political posts; κ = 0.969) Used to train multinomial naïve Bayes classi er, classify remaining posts. (κ = 0.902) 217,727 political posts and 2,136,551 non-political posts.
  • 18. estimating prevalence Simple tally is problematic: •  overestimate percent political on blogs with few political posts (more opportunities for false positives) •  Underestimate political posts on blogs with many political posts (more opportunities for false negatives)
  • 19. estimating prevalence Simple tally is problematic: •  overestimate percent political on blogs with few political posts (more opportunities for false positives) •  Underestimate political posts on blogs with many political posts (more opportunities for false negatives) Consider a blog that is always political: Political posts" False negatives (12.6%)" Consider a blog that is never political: Non-political posts" False positives (0.5%)"
  • 20. estimating prevalence Simple tally is problematic: •  overestimate percent political on blogs with few political posts (more opportunities for false positives) •  Underestimate political posts on blogs with many political posts (more opportunities for false negatives) When reporting about blogs or bins, we handle this with revised estimates (p*): prevalence ! (1! specificity) p* = sensitivity ! (1! specificity) (Zhou et al 2002)
  • 21. categorizing blogs Classify blogs into seven categories: diary, hobby & fan, professional & sales, politics, religion, civic & issue, health &wellness, and ethnic / cultural. At least 5 categorizations per blog, + determine nal category with get- get-another-label another-label (Sheng, Provost, Ipeirotis 2008) Check against ratings from research team (overall κ = 0.72)
  • 22. coding comments 244 threads classi ed by research team. Inter-rater reliability on 56 comments on 42 blog posts.
  • 23. coding comments 244 threads classi ed by research team. Inter-rater reliability on 56 comments on 42 blog posts.
  • 24. coding comments 244 threads classi ed by research team. Inter-rater reliability on 56 comments on 42 blog posts.
  • 25. results overall prevalence | prevalence by category | engagement
  • 26. results overall prevalence | prevalence by category | engagement
  • 28. prevalence of political posts ~25% of political blog posts come from blogs that talk about politics less than 20% of the time. "
  • 29. prevalence of political posts by day US election day" Limited to posts from non-political blogs. Start of US presidential primary season"
  • 30. results overall prevalence | prevalence by category | engagement
  • 31. categories: descriptions & summary statistics
  • 32. categories: descriptions & summary statistics
  • 33. categories: descriptions & summary statistics
  • 39. results overall prevalence | prevalence by category | engagement
  • 41. mean comments per post expected comments per post F(4, 8764) = 3.862e+05 (p<0.0001); adjusted R2 = 0.3962.
  • 42. engagement & agreement Among 990 comments on 244 political posts:
  • 43. engagement & agreement Among 990 comments on 244 political posts:
  • 44. this is a start. (and a challenge.)
  • 45. this is a start. (and a challenge.) ere’s a lot of political talk happening on non-political blogs.
  • 46. this is a start. (and a challenge.) ere’s a lot of political talk happening on non-political blogs. Not taboo: readers engage with this political content in replies.
  • 47. this is a start. (and a challenge.) ere’s a lot of political talk happening on non-political blogs. Not taboo: readers engage with this political content in replies. ? What is the actual discourse quality? Civility? Arguments expressed? How does this stack up against other spaces?
  • 48. e Prevalence of Political Discourse in Non-Political Blogs Sean A. Munson @smunson samunson@umich.edu Paul Resnick @presnick presnick@umich.edu balance.projects.si.umich.edu Funded by the National Science Foundation under award IIS-0916099 and a Yahoo! Key Technical Challenge Grant. anks to Liz Aderhold, Erica Willar, and Emily Rosengren.