BLOGS ARE ECHO CHAMBERS: BLOGS ARE ECHO...

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Eric Gilbert | Tony Bergstrom | Karrie Karahalios | University of Illinois

BLOGS ARE ECHO CHAMBERS:BLOGS ARE ECHO CHAMBERS

Are blogs echo chambers? Do blogs cut readers off from dissenting opinions?

Negroponte1996

Sunstein2002

Sunstein2008

“ It’s hardly possible to overstate the value, in the present state of human improvement, of placing human beings in contact with other persons dissimilar to themselves, and with modes of thought and action unlike those with which they are familiar.

John Stuart MillPrinciples of Political Economy, 1848

112 M blogsas measured by Technorati, Jun 2009

Are blogs echo chambers? Do blogs cut readers off from dissenting opinions?

Political bloggers link to like-minded bloggers.

Adamic & Glance 2005

Hargittai & Gallo 2008

Groups often adopt extreme viewpoints.

Baron & Hoppe 1996

Sechrist & Stangor 2001

RELATED WORK

5 blog genres

33 top blogs

1,094 blog comments

OUR DATASET

Technology

2 TechCrunch

3 Gizmodo

4 Engadget

23 Kotaku

30 Scobelizer

35 Gigaom

37 TUAW

44 Joystiq

45 Threat Level

# Technorati rank Apr 08

Political

1 Huffington Post

11 Daily Kos

26 Think Progress

41 Crooks & Liars

58 NewsBusters

Entertainment

5 Boing Boing

13 Gawker

20 Perez Hilton

31 Valleywag

36 Neatorama

42 Slashfilm

Lifestyle

6 Life Hacker

29 Consumerist

32 uthink

45 Zenhabits

38 Dooce

53 Sartorialist

Meta

10 ReadWriteWeb

18 Dosh Dosh

21 ProBlogger

27 Copyblogger

34 ShoeMoney

43 Daily Blog Tips

71 Matt Cutts

Great post and I really like the video. is is extremely similar to the approach I use in writing almost anything …

Just wait until hackers exploit the print layer to this mesh stuff enough to grab root and start injecting python code …

ProBlogger

Scobelizer

Cohen’s κ = 0.71 pointwise = 0.74

Inter-rater reliability

agree

neither

disagree85 103 2246 26

2

Wald methodp < 0.05

neither

agree 39.2%

Proportions of agreement

11.1%disagree

49.4%

χ2(8, N=979) = 86.3p < 0.001

Agreement proportions by genre

tech

enter.

lifestyle

politics

meta

63% neither 24% agree 13%

63% 24% 13%

44% 51% 5

40% 47% 13%

33% 55% 12%

ALGORITHMIC PREDICTION OF AGREEMENT

AGREE/DISAGREE/NEITHER

LEXICALuni/bi/trigams

TFIDF

POSraw tags

combo lexical

SENTIMENTcongressional !oor

rotten tomatoesLIWC

SEMANTICsim to post

ESA

NAMED ENTITYorganizations

people

Algorithmic prediction:Lexical features

This feels like an echo chamber within an echo chamber!

Algorithmic prediction:Lexical features

This feels like an echo chamber within an echo chamber!

Algorithmic prediction:POS features

This feels like an echo chamber within an echo chamber!

DT VBZ IN DT JJ NN

IN DT JJ NN

Algorithmic prediction:Semantic features

Cosine similarity to post

WordNet similarity to post

Explicit Semantic Analysis

Algorithmic prediction:Sentiment features

LIWC positive, negative, anger, …

Rotten Tomatoes +/– classifier

Congressional floor +/– classifier

Algorithmic prediction:The actual algorithm

Bagged Complement Naive Bayes

Rennie & Shih. Proc. ICML, 2003.

AGREE/DISAGREE/NEITHER

LEXICALuni/bi/trigams

TFIDF

POSraw tags

combo lexical

SENTIMENTcongressional !oor

rotten tomatoesLIWC

SEMANTICsim to post

ESA

NAMED ENTITYorganizations

people

bagged comp. naive bayes

Learning an NLP-based model of commenter agreement

67.4%

χ2(1, N=196) = 7.6p = 0.006

baseline

model

49.4%

Model accuracy

Rotten Tomatoes classifier: 90%Congressional floor classifier: 71%

LIWC pos. emotion words agree

LIWC affect words agree

exclamations agree

adjectives agree

@ neither

ellipsis !disagree

great agree

is tech blog neither

cosine similarity to post !disagree

great [noun] agree

personal pronouns !disagree

present tense verbs neither

[prepos] [poss pronoun] agree

tf-idf dot product with post !neither

coordinating conjunctions agree

Features + Info Gain

0.079

0.049

0.043

0.041

0.041

0.038

0.035

0.034

0.034

0.03

0.028

0.026

0.026

0.026

0.026

Blogs are echo chambers. 77.9% of opinionated commenters agree with the blog author.

An algorithmic approach could help. Consider an echo index.

Eric Gilbert | Tony Bergstrom | Karrie KarahaliosUniversity of Illinois at Urbana-Champaign

http://social.cs.uiuc.edu/echo.zipall data & code