ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2101.10112
  4. Cited By
Fringe News Networks: Dynamics of US News Viewership following the 2020
  Presidential Election

Fringe News Networks: Dynamics of US News Viewership following the 2020 Presidential Election

22 January 2021
Ashiqur R. KhudaBukhsh
Rupak Sarkar
M. Kamlet
Tom Michael Mitchell
ArXivPDFHTML

Papers citing "Fringe News Networks: Dynamics of US News Viewership following the 2020 Presidential Election"

11 / 11 papers shown
Title
We Don't Speak the Same Language: Interpreting Polarization through
  Machine Translation
We Don't Speak the Same Language: Interpreting Polarization through Machine Translation
Ashiqur R. KhudaBukhsh
Rupak Sarkar
M. Kamlet
Tom Michael Mitchell
10
51
0
05 Oct 2020
Middle-Aged Video Consumers' Beliefs About Algorithmic Recommendations
  on YouTube
Middle-Aged Video Consumers' Beliefs About Algorithmic Recommendations on YouTube
Oscar Alvarado
Hendrik Heuer
V. Abeele
Andreas Breiter
K. Verbert
CML
26
38
0
07 Aug 2020
Negated and Misprimed Probes for Pretrained Language Models: Birds Can
  Talk, But Cannot Fly
Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly
Nora Kassner
Hinrich Schütze
68
323
0
08 Nov 2019
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
571
2,664
0
03 Sep 2019
Analyzing Polarization in Social Media: Method and Application to Tweets
  on 21 Mass Shootings
Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings
Dorottya Demszky
Nikhil Garg
Rob Voigt
James Zou
M. Gentzkow
Jesse M. Shapiro
Dan Jurafsky
54
166
0
02 Apr 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.7K
94,770
0
11 Oct 2018
AllenNLP: A Deep Semantic Natural Language Processing Platform
AllenNLP: A Deep Semantic Natural Language Processing Platform
Matt Gardner
Joel Grus
Mark Neumann
Oyvind Tafjord
Pradeep Dasigi
Nelson F. Liu
Matthew E. Peters
Michael Schmitz
Luke Zettlemoyer
VLM
80
1,282
0
20 Mar 2018
Offline bilingual word vectors, orthogonal transformations and the
  inverted softmax
Offline bilingual word vectors, orthogonal transformations and the inverted softmax
Samuel L. Smith
David H. P. Turban
Steven Hamblin
Nils Y. Hammerla
OffRL
63
536
0
13 Feb 2017
Enriching Word Vectors with Subword Information
Enriching Word Vectors with Subword Information
Piotr Bojanowski
Edouard Grave
Armand Joulin
Tomas Mikolov
NAI
SSL
VLM
229
9,966
0
15 Jul 2016
A large annotated corpus for learning natural language inference
A large annotated corpus for learning natural language inference
Samuel R. Bowman
Gabor Angeli
Christopher Potts
Christopher D. Manning
310
4,284
0
21 Aug 2015
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
392
33,521
0
16 Oct 2013
1