Fetching the paper…
Reading the bibliography…
We consider the task of linking social media accounts that belong to the same author in an automated fashion on the basis of the content and metadata of their corresponding document streams.
The nist speaker recognition evaluation–overview, methodology, systems, results, perspective
George R Doddington, Mark A Przybocki, Alvin F Martin, and Douglas A Reynolds. 2000 · 2000
Earlier work this paper cites.
A metric learning reality check
Kevin Musgrave, Serge Belongie, and Ser-Nam Lim. 2020 · 2003
Earlier work this paper cites.
An introduction to application-independent evaluation of speaker recognition systems
David A Van Leeuwen and Niko Brümmer. 2007 · 2007
Earlier work this paper cites.
Application of information retrieval techniques for source code authorship attribution
Steven Burrows, Alexandra L Uitdenbogerd, and Andrew Turpin. 2009 · 2009
Earlier work this paper cites.
An evaluation framework for plagiarism detection
Martin Potthast, Benno Stein, Alberto Barrón-Cedeño, and Paolo Rosso. 2010 · 2010
Earlier work this paper cites.
A forensic authorship classification in sms messages: A likelihood ratio based approach using n-gram
Shunichi Ishihara. 2011 · 2011
Earlier work this paper cites.
Graph pattern matching revised for social network analysis
Wenfei Fan. 2012 · 2012
Earlier work this paper cites.
Authorship attribution of micro-messages
Roy Schwartz, Oren Tsur, Ari Rappoport, and Moshe Koppel. 2013 · 2013
Earlier work this paper cites.
Wikiwho: Precise and efficient attribution of authorship of revisioned content
Fabian Flöck and Maribel Acosta. 2014 · 2014
Earlier work this paper cites.
Facenet: A unified embedding for face recognition and clustering
Florian Schroff, Dmitry Kalenichenko, and James Philbin. 2015 · 2015
Earlier work this paper cites.
Linking accounts across social networks: the case of stackoverflow, github and twitter
Giuseppe Silvestri, Jie Yang, Alessandro Bozzon, and Andrea Tagarelli. 2015 · 2015
Earlier work this paper cites.
Semantics derived automatically from language corpora contain human-like biases
Aylin Caliskan, Joanna J Bryson, and Arvind Narayanan. 2017 · 2017
Earlier work this paper cites.
Stylometric authorship attribution of collaborative documents
Edwin Dauber, Rebekah Overdorf, and Rachel Greenstadt. 2017 · 2017
Earlier work this paper cites.
Automated hate speech detection and the problem of offensive language
Thomas Davidson, Dana Warmsley, Michael Macy, and Ingmar Weber. 2017 · 2017
Cited alongside, same era.
Paulius Micikevicius, Sharan Narang, Jonah Alben, Gregory Diamos, Erich Elsen, David Garcia, Boris Ginsburg, Michael Houston, Oleksii Kuchaiev, Ganesh Venkatesh, and Hao Wu. 2017 · 2017
Cited alongside, same era.
Authorship attribution of source code by using back propagation neural network based on particle swarm optimization
Xinyu Yang, Guoai Xu, Qi Li, Yanhui Guo, and Miao Zhang. 2017 · 2017
Cited alongside, same era.
Weaponized health communication: Twitter bots and russian trolls amplify the vaccine debate
David A Broniatowski, Amelia M Jamison, SiHua Qi, Lulwah AlKulaib, Tao Chen, Adrian Benton, Sandra C Quinn, and Mark Dredze. 2018 · 2018
Cited alongside, same era.
Universal sentence encoder for English
Daniel Cer, Yinfei Yang, Sheng-yi Kong, Nan Hua, Nicole Limtiaco, Rhomni St. John, Noah Constant, Mario Guajardo-Cespedes, Steve Yuan, Chris Tar, Brian Strope, and Ray Kurzweil. 2018 · 2018
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Later among the works it cites.
Academic plagiarism detection: a systematic literature review
Tomáš Foltỳnek, Norman Meuschke, and Bela Gipp. 2019 · 2019
Later among the works it cites.
Code authorship attribution: Methods and challenges
Vaibhavi Kalgutkar, Ratinder Kaur, Hugo Gonzalez, Natalia Stakhanova, and Alina Matyukhina. 2019 · 2019
Later among the works it cites.
Albert: A lite bert for self-supervised learning of language representations
Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, and Radu Soricut. 2019 · 2019
Later among the works it cites.
Hierarchical transformers for multi-document summarization
Yang Liu and Mirella Lapata. 2019 · 2019
Later among the works it cites.
Sampling wisely: Deep image embedding by top-k precision optimization
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
The measure and mismeasure of fairness: A critical review of fair machine learning
Sam Corbett-Davies and Sharad Goel. 2018 · 2018
Cited alongside, same era.
Subword regularization: Improving neural network translation models with multiple subword candidates
Taku Kudo. 2018 · 2018
Cited alongside, same era.
Hyplag: a hybrid approach to academic plagiarism detection
Norman Meuschke, Vincent Stange, Moritz Schubotz, and Bela Gipp. 2018 · 2018
Cited alongside, same era.
Using machine learning to detect fake identities: Bots vs humans
Estée Van Der Walt and Jan Eloff. 2018 · 2018
Cited alongside, same era.
Detection of violent extremists in social media
H. Alvari, S. Sarkar, and P. Shakarian. 2019 · 2019
Cited alongside, same era.
Learning invariant representations of social media users
Nicholas Andrews and Marcus Bishop. 2019 · 2019
Cited alongside, same era.
Overview of PAN 2019: Author Profiling, Celebrity Profiling, Cross-domain Authorship Attribution and Style Change Detection
Walter Daelemans, Mike Kestemont, Enrique Manjavacas, Martin Potthast, Francisco Rangel, Paolo Rosso, Günther Specht, Efstathios Stamatatos, Benno Stein, Michael Tschuggnall, Matti Wiegmann, and Eva Zangerle. 2019 · 2019
Cited alongside, same era.
Jing Lu, Chaofan Xu, Wei Zhang, Ling-Yu Duan, and Tao Mei. 2019 · 2019
Later among the works it cites.
Right for the wrong reasons: Diagnosing syntactic heuristics in natural language inference
Tom McCoy, Ellie Pavlick, and Tal Linzen. 2019 · 2019
Later among the works it cites.
Cross-batch memory for embedding learning
Xun Wang, Haozhi Zhang, Weilin Huang, and Matthew R. Scott. 2019 · 2019
Later among the works it cites.
Jason Baumgartner, Savvas Zannettou, Brian Keegan, Megan Squire, and Jeremy Blackburn. 2020 · 2020
Later among the works it cites.
Proxy anchor loss for deep metric learning
Sungyeon Kim, Dongwon Kim, Minsu Cho, and Suha Kwak. 2020 · 2020
Later among the works it cites.
Umap: Uniform manifold approximation and projection for dimension reduction
Leland McInnes, John Healy, and James Melville. 2020 · 2020
Later among the works it cites.
Fighting covid-19 misinformation on social media: Experimental evidence for a scalable accuracy-nudge intervention
Gordon Pennycook, Jonathon McPhetres, Yunhao Zhang, Jackson G Lu, and David G Rand. 2020 · 2020
Later among the works it cites.