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A news article's title, content and link structure often reveal its political ideology.
Sport and political ideology
John M Hoberman. 1977 · 1977
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Extracting policy positions from political texts using words as data
Michael Laver, Kenneth Benoit, and John Garry. 2003 · 2003
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Talk’s cheap: Text-based estimation of rhetorical ideal-points
Burt L Monroe and Ko Maeda. 2004 · 2004
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A measure of media bias
Tim Groseclose and Jeffrey Milyo. 2005 · 2005
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Get out the vote: Determining support or opposition from congressional floor-debate transcripts
Matt Thomas, Bo Pang, and Lillian Lee. 2006 · 2006
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Media framing of capital punishment and its impact on individuals’ cognitive responses
Frank E Dardis, Frank R Baumgartner, Amber E Boydstun, Suzanna De Boef, and Fuyuan Shen. 2008 · 2008
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A joint topic and perspective model for ideological discourse
Wei-Hao Lin, Eric Xing, and Alexander Hauptmann. 2008 · 2008
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Measuring bias and uncertainty in dw-nominate ideal point estimates via the parametric bootstrap
Royce Carroll, Jeffrey B Lewis, James Lo, Keith T Poole, and Howard Rosenthal. 2009 · 2009
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Staying informed: supervised and semi-supervised multi-view topical analysis of ideological perspective
Amr Ahmed and Eric P Xing. 2010 · 2010
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What drives media slant? evidence from us daily newspapers
Matthew Gentzkow and Jesse M Shapiro. 2010 · 2010
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Natural language processing (almost) from scratch
Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, and Pavel Kuksa. 2011 · 2011
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Predicting legislative roll calls from text
Sean Gerrish and David M Blei. 2011 · 2011
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Efficient estimation of word representations in vector space
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013 · 2013
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Measuring ideological proportions in political speeches
Political ideology detection using recursive neural networks
Mohit Iyyer, Peter Enns, Jordan Boyd-Graber, and Philip Resnik. 2014 · 2014
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Convolutional neural networks for sentence classification
Yoon Kim. 2014 · 2014
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The media frames corpus: Annotations of frames across issues
Dallas Card, Amber E Boydstun, Justin H Gross, Philip Resnik, and Noah A Smith. 2015 · 2015
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node2vec: Scalable feature learning for networks
Aditya Grover and Jure Leskovec. 2016 · 2016
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Neural variational inference for text processing
Yishu Miao, Lei Yu, and Phil Blunsom. 2016 · 2016
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Hierarchical attention networks for document classification
Zichao Yang, Diyi Yang, Chris Dyer, Xiaodong He, Alex Smola, and Eduard Hovy. 2016 · 2016
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Yanchuan Sim, Brice DL Acree, Justin H Gross, and Noah A Smith. 2013 · 2013
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014 · 2014
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Beyond binary labels: political ideology prediction of twitter users
Daniel Preoţiuc-Pietro, Ye Liu, Daniel Hopkins, and Lyle Ungar. 2017 · 2017
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