Controversy in Context

He says, she says: conflict and coordination in wikipedia

Aniket Kittur, Bongwon Suh, Bryan A Pendleton, and Ed H Chi. 2007 · 2007

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.

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

Earlier work this paper cites.

Detecting controversy on the web

Shiri Dori-Hacohen and James Allan. 2013 · 2013

Earlier work this paper cites.

Glove: Global vectors for word representation

Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014

Earlier work this paper cites.

Controversy trend detection in social media

M Anu Sree, P Athmigha, and L Sowmya Danalakshmi. 2015 · 2015

Cited alongside, same era.

Controversy detection in wikipedia using collective classification

Shiri Dori-Hacohen, David Jensen, and James Allan. 2016 · 2016

Cited alongside, same era.

On the retrieval of wikipedia articles containing claims on controversial topics

Haggai Roitman, Shay Hummel, Ella Rabinovich, Benjamin Sznajder, Noam Slonim, and Ehud Aharoni. 2016 · 2016

Cited alongside, same era.

Modeling controversy within populations

Myungha Jang, Shiri Dori-Hacohen, and James Allan. 2017 · 2017

Cited alongside, same era.

Unsupervised corpus–wide claim detection

Ran Levy, Shai Gretz, Benjamin Sznajder, Shay Hummel, Ranit Aharonov, and Noam Slonim. 2017 · 2017

Cited alongside, same era.

Bert: Pre-training of deep bidirectional transformers for language understanding

Original

Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018

Later among the works it cites.

Learning concept abstractness using weak supervision

Ella Rabinovich, Benjamin Sznajder, Artem Spector, Ilya Shnayderman, Ranit Aharonov, David Konopnicki, and Noam Slonim. 2018 · 2018

Later among the works it cites.

Computing controversy: Formal model and algorithms for detecting controversy on wikipedia and in search queries

Kazimierz Zielinski, Radoslaw Nielek, Adam Wierzbicki, and Adam Jatowt. 2018 · 2018

Later among the works it cites.

IBM Research AI Project Debater

Project Debater. 2019 · 2019

Closest in time.

Probabilistic approaches to controversy detection

Myungha Jang, John Foley, Shiri Dori-Hacohen, and James Allan. 2016 · 2072

Closest in time.