-
1
-
-
84958161527
-
The political blogosphere and the 2004 U.S election: Divided they blog
-
L. Adamic and N. Glance. The political blogosphere and the 2004 u.s. election: Divided they blog. In LinkKDD, 2005.
-
(2005)
LinkKDD
-
-
Adamic, L.1
Glance, N.2
-
2
-
-
84880468771
-
Mining newsgroups using networks arising from social behavior
-
R. Agrawal, S. Rajagopalan, R. Srikant, and Y. Xu. Mining newsgroups using networks arising from social behavior. In WWW, 2003.
-
(2003)
WWW
-
-
Agrawal, R.1
Rajagopalan, S.2
Srikant, R.3
Xu, Y.4
-
3
-
-
84909977581
-
Quantifying political polarity based on bipartite opinion networks
-
L. Akoglu. Quantifying political polarity based on bipartite opinion networks. In ICWSM, 2014.
-
(2014)
ICWSM
-
-
Akoglu, L.1
-
4
-
-
77951739184
-
Tweet, tweet, retweet: Conversational aspects of retweeting on twitter
-
D. Boyd, S. Golder, and G. Lotan. Tweet, tweet, retweet: Conversational aspects of retweeting on twitter. In HICSS, 2010.
-
(2010)
HICSS
-
-
Boyd, D.1
Golder, S.2
Lotan, G.3
-
5
-
-
84900461560
-
Classifying political orientation on twitter: It's not easy!
-
R. Cohen and D. Ruths. Classifying political orientation on twitter: It's not easy! In ICWSM, 2013.
-
(2013)
ICWSM
-
-
Cohen, R.1
Ruths, D.2
-
6
-
-
84856164136
-
Predicting the political alignment of twitter users
-
M. Conover, B. Gonçalves, J. Ratkiewicz, A. Flammini, and F. Menczer. Predicting the political alignment of twitter users. In SocialCom, 2011.
-
(2011)
SocialCom
-
-
Conover, M.1
Gonçalves, B.2
Ratkiewicz, J.3
Flammini, A.4
Menczer, F.5
-
7
-
-
85126984607
-
Political polarization on twitter
-
M. Conover, J. Ratkiewicz, M. Francisco, B. Gonçalves, A. Flammini, and F Menczer. Political polarization on twitter. In ICWSM, 2011.
-
(2011)
ICWSM
-
-
Conover, M.1
Ratkiewicz, J.2
Francisco, M.3
Gonçalves, B.4
Flammini, A.5
Menczer, F.6
-
8
-
-
84909964625
-
Modeling user attitude toward controversial topics in online social media
-
H. Gao, J. Mahmud, J. Chen, J. Nichols, and M. Zhou. Modeling user attitude toward controversial topics in online social media. In ICWSM, 2014.
-
(2014)
ICWSM
-
-
Gao, H.1
Mahmud, J.2
Chen, J.3
Nichols, J.4
Zhou, M.5
-
11
-
-
84900440192
-
A measure of polarization on social media networks based on community boundaries
-
P. Calais Guerra, W. Meira Jr., C. Cardie, and R. Kleinberg. A measure of polarization on social media networks based on community boundaries. In ICWSM, 2013.
-
(2013)
ICWSM
-
-
Calais Guerra, P.1
Meira, W.2
Cardie, C.3
Kleinberg, R.4
-
12
-
-
84900442551
-
Sentiment prediction using collaborative filtering
-
J. Kim, J. Yoo, H. Lim, H. Qiu, Z. Kozareva, and A. Galstyan. Sentiment prediction using collaborative filtering. In ICWSM, 2013.
-
(2013)
ICWSM
-
-
Kim, J.1
Yoo, J.2
Lim, H.3
Qiu, H.4
Kozareva, Z.5
Galstyan, A.6
-
13
-
-
0017360990
-
The measurement of observer agreement for categorical data
-
J. Landis and G. Koch. The measurement of observer agreement for categorical data. Biometrics, 1977.
-
(1977)
Biometrics
-
-
Landis, J.1
Koch, G.2
-
15
-
-
84976368823
-
Quantifying bias in social and mainstream media
-
Y. Lin, J. Bagrow, and D. Lazer. Quantifying bias in social and mainstream media. SIGWEB Newsl, 2012.
-
(2012)
SIGWEB Newsl
-
-
Lin, Y.1
Bagrow, J.2
Lazer, D.3
-
16
-
-
85006712027
-
The party is over here: Structure and content in the 2010 election
-
A. Livne, M. Simmons, E. Adar, and L. Adamic. The party is over here: Structure and content in the 2010 election. In ICWSM, 2011.
-
(2011)
ICWSM
-
-
Livne, A.1
Simmons, M.2
Adar, E.3
Adamic, L.4
-
17
-
-
84919804375
-
Unsupervised discovery of opposing opinion networks from forum discussions
-
Y. Lu, H. Wang, C. Zhai, and D. Roth. Unsupervised discovery of opposing opinion networks from forum discussions. In CIKM, 2012.
-
(2012)
CIKM
-
-
Lu, Y.1
Wang, H.2
Zhai, C.3
Roth, D.4
-
18
-
-
84883121123
-
Experiences surveying the crowd: Reflections on methods, participation, and reliability
-
C. Marshall and F. Shipman. Experiences surveying the crowd: Reflections on methods, participation, and reliability. In WebSci, 2013.
-
(2013)
WebSci
-
-
Marshall, C.1
Shipman, F.2
-
19
-
-
80053413369
-
Support or oppose?: Classifying positions in online debates from reply activities and opinion expressions
-
A. Murakami and R. Raymond. Support or oppose?: Classifying positions in online debates from reply activities and opinion expressions. In COLING, 2010.
-
(2010)
COLING
-
-
Murakami, A.1
Raymond, R.2
-
20
-
-
77952357661
-
How reliable are annotations via crowdsourcing: A study about inter-annotator agreement for multi-label image annotation
-
S. Nowak and S. Rüger. How reliable are annotations via crowdsourcing: A study about inter-annotator agreement for multi-label image annotation. In MIR, 2010.
-
(2010)
MIR
-
-
Nowak, S.1
Rüger, S.2
-
21
-
-
84919651291
-
Improved part-of-speech tagging for online conversational text with word clusters
-
O. Owoputi, B. O'Connor, C. Dyer, K. Gimpel, N. Schneider, and N. Smith. Improved part-of-speech tagging for online conversational text with word clusters. In NAACL, 2013.
-
(2013)
NAACL
-
-
Owoputi, O.1
O'Connor, B.2
Dyer, C.3
Gimpel, K.4
Schneider, N.5
Smith, N.6
-
23
-
-
80052652741
-
Democrats, republicans and starbucks afficionados: User classification in twitter
-
M. Pennacchiotti and A. Popescu. Democrats, republicans and starbucks afficionados: User classification in twitter. In SIGKDD, 2011.
-
(2011)
SIGKDD
-
-
Pennacchiotti, M.1
Popescu, A.2
-
26
-
-
80052663073
-
User-level sentiment analysis incorporating social networks
-
C. Tan, L. Lee, J. Tang, L. Jiang, M. Zhou, and P. Li. User-level sentiment analysis incorporating social networks. In SIGKDD, 2011.
-
(2011)
SIGKDD
-
-
Tan, C.1
Lee, L.2
Tang, J.3
Jiang, L.4
Zhou, M.5
Li, P.6
-
27
-
-
79952402835
-
Image annotation by knn-sparse graph-based label propagation over noisily tagged web images
-
J. Tang, R. Hong, S. Yan, T. Chua, G. Qi, and R. Jain. Image annotation by knn-sparse graph-based label propagation over noisily tagged web images. ACM TIST, 2011.
-
(2011)
ACM TIST
-
-
Tang, J.1
Hong, R.2
Yan, S.3
Chua, T.4
Qi, G.5
Jain, R.6
-
28
-
-
83055179484
-
Topic sentiment analysis in twitter: A graph-based hashtag sentiment classification approach
-
X. Wang, F. Wei, X. Liu, M. Zhou, and M. Zhang. Topic sentiment analysis in twitter: a graph-based hashtag sentiment classification approach. In CIKM, 2011.
-
(2011)
CIKM
-
-
Wang, X.1
Wei, F.2
Liu, X.3
Zhou, M.4
Zhang, M.5
-
29
-
-
84900456878
-
Quantifying political leaning from tweets and retweets
-
F Wong, C. Tan, S. Sen, and M. Chiang. Quantifying political leaning from tweets and retweets. In ICWSM, 2013.
-
(2013)
ICWSM
-
-
Wong, F.1
Tan, C.2
Sen, S.3
Chiang, M.4
-
30
-
-
84860849939
-
We know what@ you# tag: Does the dual role affect hashtag adoption?
-
L. Yang, T. Sun, M. Zhang, and Q. Mei. We know what@ you# tag: does the dual role affect hashtag adoption? In WWW, 2012.
-
(2012)
WWW
-
-
Yang, L.1
Sun, T.2
Zhang, M.3
Mei, Q.4
-
31
-
-
16644402628
-
Feature selection for text categorization on imbalanced data
-
Z. Zheng, X. Wu, and R. Srihari. Feature selection for text categorization on imbalanced data. SIGKDD Explor. Newsl, 2004.
-
(2004)
SIGKDD Explor. Newsl
-
-
Zheng, Z.1
Wu, X.2
Srihari, R.3
-
32
-
-
84899006908
-
Learning with local and global consistency
-
D. Zhou, O. Bousquet, T. Lal, J. Weston, and B. Schölkopf. Learning with local and global consistency. In NIPS, 2004.
-
(2004)
NIPS
-
-
Zhou, D.1
Bousquet, O.2
Lal, T.3
Weston, J.4
Schölkopf, B.5
-
33
-
-
84968731305
-
Classifying the political leaning of news articles and users from user votes
-
X. Zhou, P. Resnick, and Q. Mei. Classifying the political leaning of news articles and users from user votes. In ICWSM, 2011.
-
(2011)
ICWSM
-
-
Zhou, X.1
Resnick, P.2
Mei, Q.3
|