Fetching the paper…
Reading the bibliography…
Controversial posts are those that split the preferences of a community, receiving both significant positive and significant negative feedback.
Structural determination of paraffin boiling points
Harry Wiener. 1947 · 1947
Earlier work this paper cites.
The Functions of Social Conflict
Lewis Coser. 1956 · 1956
Earlier work this paper cites.
A multimethod examination of the benefits and detriments of intragroup conflict
Karen A. Jehn. 1995 · 1995
Earlier work this paper cites.
Inference for the generalization error
Claude Nadeau and Yoshua Bengio. 2000 · 2000
Earlier work this paper cites.
Latent Dirichlet allocation
David M. Blei, Andrew Y. Ng, and Michael I. Jordan. 2003 · 2003
Earlier work this paper cites.
Task versus relationship conflict, team performance, and team member satisfaction: A meta-analysis
Carsten K. W. De Dreu and Laurie R. Weingart. 2003 · 2003
Earlier work this paper cites.
Framewise phoneme classification with bidirectional LSTM and other neural network architectures
Alex Graves and Jürgen Schmidhuber. 2005 · 2005
Earlier work this paper cites.
Statistical comparisons of classifiers over multiple data sets
Janez Demšar. 2006 · 2006
Earlier work this paper cites.
Leave a reply: An analysis of weblog comments
Gilad Mishne and Natalie Glance. 2006 · 2006
Earlier work this paper cites.
Experimental study of inequality and unpredictability in an artificial cultural market
Matthew J. Salganik, Peter Sheridan Dodds, and Duncan J. Watts. 2006 · 2006
Earlier work this paper cites.
Fightin’ words: Lexical feature selection and evaluation for identifying the content of political conflict
Burt L. Monroe, Michael P. Colaresi, and Kevin M. Quinn. 2008 · 2008
Earlier work this paper cites.
How public opinion forms
Fang Wu and Bernardo A. Huberman. 2008 · 2008
Earlier work this paper cites.
Identifying controversial issues and their sub-topics in news articles
Yoonjung Choi, Yuchul Jung, and Sung-Hyon Myaeng. 2010 · 2010
Earlier work this paper cites.
Detecting controversial events from Twitter
Ana-Maria Popescu and Marco Pennacchiotti. 2010 · 2010
Earlier work this paper cites.
Defining a coparticipation network using comments on Digg
Huzefa Rangwala and Salman Jamali. 2010 · 2010
Earlier work this paper cites.
Predicting the popularity of online content
Gabor Szabo and Bernardo A. Huberman. 2010 · 2010
Earlier work this paper cites.
Predicting the virtual temperature of web-blog articles as a measurement tool for online popularity
Su-Do Kim, Sung-Hwan Kim, and Hwan-Gue Cho. 2011 · 2011
Earlier work this paper cites.
Characterization and prediction of Wikipedia edit wars
Róbert Sumi, Taha Yasseri, András Rung, András Kornai, and János Kertész. 2011 · 2011
Earlier work this paper cites.
Predicting the popularity of online articles based on user comments
Alexandru Tatar, Jérémie Leguay, Panayotis Antoniadis, Arnaud Limbourg, Marcelo Dias de Amorim, and Serge Fdida. 2011 · 2011
Earlier work this paper cites.
Harmony and dissonance: organizing the people’s voices on political controversies
Rawia Awadallah, Maya Ramanath, and Gerhard Weikum. 2012 · 2012
Earlier work this paper cites.
Identifying controversial articles in Wikipedia: A comparative study
Hoda Sepehri Rad and Denilson Barbosa. 2012 · 2012
Earlier work this paper cites.
Dynamics of Conflicts in Wikipedia
Taha Yasseri, Robert Sumi, András Rung, András Kornai, and János Kertész. 2012 · 2012
Cited alongside, same era.
Unifying local and global agreement and disagreement classification in online debates
Jie Yin, Paul Thomas, Nalin Narang, and Cecile Paris. 2012 · 2012
Cited alongside, same era.
Characterizing and curating conversation threads: expansion, focus, volume, re-entry
Lars Backstrom, Jon Kleinberg, Lillian Lee, and Cristian Danescu-Niculescu-Mizil. 2013 · 2013
Cited alongside, same era.
When, why, and how controversy causes conversation
Zoey Chen and Jonah Berger. 2013 · 2013
Cited alongside, same era.
Detecting controversy on the web
Shiri Dori-Hacohen and James Allan. 2013 · 2013
Cited alongside, same era.
Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S. Corrado, and Jeff Dean. 2013 · 2013
Wordforce: Visualizing controversial words in debates
Wei-Fan Chen, Fang-Yu Lin, and Lun-Wei Ku. 2016 · 2016
Later among the works it cites.
Controversy detection in Wikipedia using collective classification
Shiri Dori-Hacohen, David Jensen, and James Allan. 2016 · 2016
Later among the works it cites.
Empath: Understanding topic signals in large-scale text
Ethan Fast, Binbin Chen, and Michael S. Bernstein. 2016 · 2016
Later among the works it cites.
Improving automated controversy detection on the web
Myungha Jang and James Allan. 2016 · 2016
Later among the works it cites.
Probabilistic approaches to controversy detection
Myungha Jang, John Foley, Shiri Dori-Hacohen, and James Allan. 2016 · 2016
Later among the works it cites.
Winning arguments: Interaction dynamics and persuasion strategies in good-faith online discussions
Chenhao Tan, Vlad Niculae, Cristian Danescu-Niculescu-Mizil, and Lillian Lee. 2016 · 2016
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Social influence bias: A randomized experiment
Lev Muchnik, Sinan Aral, and Sean J. Taylor. 2013 · 2013
Cited alongside, same era.
Detecting disagreement in conversations using pseudo-monologic rhetorical structure
Kelsey Allen, Giuseppe Carenini, and Raymond Ng. 2014 · 2014
Cited alongside, same era.
Predicting the popularity of Web 2.0 items based on user comments
Xiangnan He, Ming Gao, Min-Yen Kan, Yiqun Liu, and Kazunari Sugiyama. 2014 · 2014
Cited alongside, same era.
VADER: A parsimonious rule-based model for sentiment analysis of social media text
C.J. Hutto and Eric Gilbert. 2014 · 2014
Cited alongside, same era.
Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba. 2014 · 2014
Cited alongside, same era.
Verb polarity frames: A new resource and its application in target-specific polarity classification
Manfred Klenner, Michael Amsler, and Nora Hollenstein. 2014 · 2014
Cited alongside, same era.
Later among the works it cites.
Google’s neural machine translation system: Bridging the gap between human and machine translation
Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V. Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, Jeff Klingner, Apurva Shah, Melvin Johnson, Xiaobing Liu, Lukasz Kaiser, Stephan Gouws, Yoshikiyo Kato, Taku Kudo, Hideto Kazawa, Keith Stevens, George Kurian, Nishant Patil, Wei Wang, Cliff Young, Jason Smith, Jason Riesa, Alex Rudnick, Oriol Vinyals, Greg Corrado, Macduff Hughes, and Jeffrey Dean. 2016 · 2016
Later among the works it cites.
Telling apart tweets associated with controversial versus non-controversial topics
Aseel Addawood, Rezvaneh Rezapour, Omid Abdar, and Jana Diesner. 2017 · 2017
Later among the works it cites.
Studying the controversy in online crowds’ interactions
Mahmoud Al-Ayyoub, Abdullateef Rabab’ah, Yaser Jararweh, Mohammed N. Al-Kabi, and Brij B. Gupta. 2017 · 2017
Later among the works it cites.
A simple but tough-to-beat baseline for sentence embeddings
Sanjeev Arora, Yingyu Liang, and Tengyu Ma. 2017 · 2017
Later among the works it cites.
Predicting controversial news using Facebook reactions
Angelo Basile, Tommaso Caselli, and Malvina Nissim. 2017 · 2017
Later among the works it cites.
Detecting Controversies in Online News Media
Kaspar Beelen, Evangelos Kanoulas, and Bob van de Velde. 2017 · 2017
Later among the works it cites.
Cats and captions vs. creators and the clock: Comparing multimodal content to context in predicting relative popularity
Jack Hessel, Lillian Lee, and David Mimno. 2017 · 2017
Later among the works it cites.
Modeling controversy within populations
Myungha Jang, Shiri Dori-Hacohen, and James Allan. 2017 · 2017
Later among the works it cites.
ControCurator: Understanding controversy using collective intelligence
Bram Timmermans, Lora Aroyo, Thomas A. Kuhn, Kaspar Beelen, Evangelos Kanoulas, Bob van de Velde, and Gerben van Eerten. 2017 · 2017
Later among the works it cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Later among the works it cites.
Quantifying controversy on social media
Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis, and Michael Mathioudakis. 2018 · 2018
Later among the works it cites.
Controversy and sentiment: An exploratory study
Kateryna Kaplun, Christopher Leberknight, and Anna Feldman. 2018 · 2018
Later among the works it cites.
ConsensUs: Supporting multi-criteria group decisions by visualizing points of disagreement
Weichen Liu, Sijia Xiao, Jacob T. Browne, Ming Yang, and Steven P. Dow. 2018 · 2018
Later among the works it cites.
Learning comment controversy prediction in web discussions using incidentally supervised multi-task CNNs
Nils Rethmeier, Marc Hübner, and Leonhard Hennig. 2018 · 2018
Later among the works it cites.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Closest in time.