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. 2103.00242
  4. Cited By
A Survey on Stance Detection for Mis- and Disinformation Identification
v1v2v3 (latest)

A Survey on Stance Detection for Mis- and Disinformation Identification

27 February 2021
Momchil Hardalov
Arnav Arora
Preslav Nakov
Isabelle Augenstein
ArXiv (abs)PDFHTML

Papers citing "A Survey on Stance Detection for Mis- and Disinformation Identification"

50 / 93 papers shown
Title
SCRum-9: Multilingual Stance Classification over Rumours on Social Media
SCRum-9: Multilingual Stance Classification over Rumours on Social Media
Yue Li
Jake Vasilakes
Zhixue Zhao
Carolina Scarton
75
0
0
25 May 2025
Show Me the Work: Fact-Checkers' Requirements for Explainable Automated Fact-Checking
Show Me the Work: Fact-Checkers' Requirements for Explainable Automated Fact-Checking
Greta Warren
Irina Shklovski
Isabelle Augenstein
OffRL
152
9
0
13 Feb 2025
Monolingual and Multilingual Misinformation Detection for Low-Resource Languages: A Comprehensive Survey
Monolingual and Multilingual Misinformation Detection for Low-Resource Languages: A Comprehensive Survey
Xinyu Wang
Wenbo Zhang
Sarah Rajtmajer
80
3
0
24 Oct 2024
On the Risk of Evidence Pollution for Malicious Social Text Detection in the Era of LLMs
On the Risk of Evidence Pollution for Malicious Social Text Detection in the Era of LLMs
Herun Wan
Minnan Luo
Zhixiong Su
Guang Dai
Xiang Zhao
DeLMO
95
1
0
16 Oct 2024
The Power of LLM-Generated Synthetic Data for Stance Detection in Online Political Discussions
The Power of LLM-Generated Synthetic Data for Stance Detection in Online Political Discussions
Stefan Sylvius Wagner
Maike Behrendt
Marc Ziegele
Stefan Harmeling
85
12
0
18 Jun 2024
DISARM: Detecting the Victims Targeted by Harmful Memes
DISARM: Detecting the Victims Targeted by Harmful Memes
Shivam Sharma
Md. Shad Akhtar
Preslav Nakov
Tanmoy Chakraborty
68
32
0
11 May 2022
Fact Checking with Insufficient Evidence
Fact Checking with Insufficient Evidence
Pepa Atanasova
J. Simonsen
Christina Lioma
Isabelle Augenstein
98
14
0
05 Apr 2022
Exposing Paid Opinion Manipulation Trolls
Exposing Paid Opinion Manipulation Trolls
Todor Mihaylov
Ivan Koychev
Georgi Georgiev
Preslav Nakov
63
49
0
26 Sep 2021
Detecting Harmful Memes and Their Targets
Detecting Harmful Memes and Their Targets
Shraman Pramanick
Dimitar Dimitrov
Rituparna Mukherjee
Shivam Sharma
Md. Shad Akhtar
Preslav Nakov
Tanmoy Chakraborty
60
114
0
24 Sep 2021
Few-Shot Cross-Lingual Stance Detection with Sentiment-Based
  Pre-Training
Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training
Momchil Hardalov
Arnav Arora
Preslav Nakov
Isabelle Augenstein
78
63
0
13 Sep 2021
A Survey on Automated Fact-Checking
A Survey on Automated Fact-Checking
Zhijiang Guo
Michael Schlichtkrull
Andreas Vlachos
97
495
0
26 Aug 2021
Detecting Propaganda Techniques in Memes
Detecting Propaganda Techniques in Memes
Dimitar Dimitrov
Bishr Bin Ali
Shaden Shaar
Firoj Alam
Fabrizio Silvestri
Hamed Firooz
Preslav Nakov
Giovanni Da San Martino
87
95
0
07 Aug 2021
TAPEX: Table Pre-training via Learning a Neural SQL Executor
TAPEX: Table Pre-training via Learning a Neural SQL Executor
Qian Liu
Bei Chen
Jiaqi Guo
Morteza Ziyadi
Zeqi Lin
Weizhu Chen
Jian-Guang Lou
LMTD
97
268
0
16 Jul 2021
Topic-Aware Evidence Reasoning and Stance-Aware Aggregation for Fact
  Verification
Topic-Aware Evidence Reasoning and Stance-Aware Aggregation for Fact Verification
Jiasheng Si
Deyu Zhou
Tong Li
Xingyu Shi
Yulan He
61
39
0
02 Jun 2021
AraStance: A Multi-Country and Multi-Domain Dataset of Arabic Stance
  Detection for Fact Checking
AraStance: A Multi-Country and Multi-Domain Dataset of Arabic Stance Detection for Fact Checking
Tariq Alhindi
Amal Alabdulkarim
A. Alshehri
Muhammad Abdul-Mageed
Preslav Nakov
46
27
0
28 Apr 2021
SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and
  Images
SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images
Dimitar Dimitrov
Bishr Bin Ali
Shaden Shaar
Firoj Alam
Fabrizio Silvestri
Hamed Firooz
Preslav Nakov
Giovanni Da San Martino
64
106
0
25 Apr 2021
Cross-Domain Label-Adaptive Stance Detection
Cross-Domain Label-Adaptive Stance Detection
Momchil Hardalov
Arnav Arora
Preslav Nakov
Isabelle Augenstein
90
73
0
15 Apr 2021
Towards Few-Shot Fact-Checking via Perplexity
Towards Few-Shot Fact-Checking via Perplexity
Nayeon Lee
Yejin Bang
Andrea Madotto
Madian Khabsa
Pascale Fung
AAML
45
93
0
17 Mar 2021
A Survey on Predicting the Factuality and the Bias of News Media
A Survey on Predicting the Factuality and the Bias of News Media
Preslav Nakov
Husrev Taha Sencar
Jisun An
Haewoon Kwak
104
27
0
16 Mar 2021
Disembodied Machine Learning: On the Illusion of Objectivity in NLP
Disembodied Machine Learning: On the Illusion of Objectivity in NLP
Zeerak Talat
Smarika Lulz
Joachim Bingel
Isabelle Augenstein
148
51
0
28 Jan 2021
Where Are the Facts? Searching for Fact-checked Information to Alleviate
  the Spread of Fake News
Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News
Nguyen Vo
Kyumin Lee
GNN
78
85
0
07 Oct 2020
Data-Efficient Pretraining via Contrastive Self-Supervision
Data-Efficient Pretraining via Contrastive Self-Supervision
Nils Rethmeier
Isabelle Augenstein
69
21
0
02 Oct 2020
Generating Label Cohesive and Well-Formed Adversarial Claims
Generating Label Cohesive and Well-Formed Adversarial Claims
Pepa Atanasova
Dustin Wright
Isabelle Augenstein
AAML
70
42
0
17 Sep 2020
Transformer Based Multi-Source Domain Adaptation
Transformer Based Multi-Source Domain Adaptation
Dustin Wright
Isabelle Augenstein
77
53
0
16 Sep 2020
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot
  Learners
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners
Timo Schick
Hinrich Schütze
132
976
0
15 Sep 2020
Multi-Hop Fact Checking of Political Claims
Multi-Hop Fact Checking of Political Claims
W. Ostrowski
Arnav Arora
Pepa Atanasova
Isabelle Augenstein
LRM
83
43
0
10 Sep 2020
FANG: Leveraging Social Context for Fake News Detection Using Graph
  Representation
FANG: Leveraging Social Context for Fake News Detection Using Graph Representation
Van-Hoang Nguyen
Kazunari Sugiyama
Preslav Nakov
Min-Yen Kan
GNNFedML
69
285
0
18 Aug 2020
Political Framing: US COVID19 Blame Game
Political Framing: US COVID19 Blame Game
Chereen Shurafa
Kareem Darwish
Wajdi Zaghouani
35
25
0
19 Jul 2020
Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective
  and a Call to Arms
Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms
Firoj Alam
Fahim Dalvi
Shaden Shaar
Nadir Durrani
Hamdy Mubarak
...
Giovanni Da San Martino
Ahmed Abdelali
Hassan Sajjad
Kareem Darwish
Preslav Nakov
78
102
0
15 Jul 2020
Misinformation Has High Perplexity
Misinformation Has High Perplexity
Nayeon Lee
Yejin Bang
Andrea Madotto
Pascale Fung
72
29
0
08 Jun 2020
Language Models as Fact Checkers?
Language Models as Fact Checkers?
Nayeon Lee
Belinda Z. Li
Sinong Wang
Wen-tau Yih
Hao Ma
Madian Khabsa
KELMHILMLRM
71
75
0
07 Jun 2020
Stance Detection on Social Media: State of the Art and Trends
Stance Detection on Social Media: State of the Art and Trends
Abeer Aldayel
Walid Magdy
82
270
0
05 Jun 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
904
42,520
0
28 May 2020
Stance Prediction and Claim Verification: An Arabic Perspective
Stance Prediction and Claim Verification: An Arabic Perspective
Jude Khouja
59
62
0
21 May 2020
That is a Known Lie: Detecting Previously Fact-Checked Claims
That is a Known Lie: Detecting Previously Fact-Checked Claims
Shaden Shaar
Giovanni Da San Martino
Nikolay Babulkov
Preslav Nakov
HILM
101
157
0
12 May 2020
The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes
The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes
Douwe Kiela
Hamed Firooz
Aravind Mohan
Vedanuj Goswami
Amanpreet Singh
Pratik Ringshia
Davide Testuggine
107
608
0
10 May 2020
What Was Written vs. Who Read It: News Media Profiling Using Text
  Analysis and Social Media Context
What Was Written vs. Who Read It: News Media Profiling Using Text Analysis and Social Media Context
R. Baly
Georgi Karadzhov
Jisun An
Haewoon Kwak
Yoan Dinkov
Ahmed Ali
James R. Glass
Preslav Nakov
65
73
0
09 May 2020
Coreferential Reasoning Learning for Language Representation
Coreferential Reasoning Learning for Language Representation
Deming Ye
Yankai Lin
Jiaju Du
Zhenghao Liu
Peng Li
Maosong Sun
Zhiyuan Liu
87
178
0
15 Apr 2020
Generating Fact Checking Explanations
Generating Fact Checking Explanations
Pepa Atanasova
J. Simonsen
Christina Lioma
Isabelle Augenstein
67
199
0
13 Apr 2020
X-Stance: A Multilingual Multi-Target Dataset for Stance Detection
X-Stance: A Multilingual Multi-Target Dataset for Stance Detection
Jannis Vamvas
Rico Sennrich
89
90
0
18 Mar 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
354
1,622
0
21 Jan 2020
Stance Detection Benchmark: How Robust Is Your Stance Detection?
Stance Detection Benchmark: How Robust Is Your Stance Detection?
Benjamin Schiller
Johannes Daxenberger
Iryna Gurevych
88
98
0
06 Jan 2020
SemEval-2017 Task 4: Sentiment Analysis in Twitter
SemEval-2017 Task 4: Sentiment Analysis in Twitter
Sara Rosenthal
N. Farra
Preslav Nakov
VLM
102
802
0
02 Dec 2019
Transfer Learning from Transformers to Fake News Challenge Stance
  Detection (FNC-1) Task
Transfer Learning from Transformers to Fake News Challenge Stance Detection (FNC-1) Task
Valeriya Slovikovskaya
54
42
0
31 Oct 2019
A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking
A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking
Andreas Hanselowski
Christian Stab
Claudia Schulz
Zile Li
Iryna Gurevych
72
124
0
29 Oct 2019
Fine-grained Fact Verification with Kernel Graph Attention Network
Fine-grained Fact Verification with Kernel Graph Attention Network
Zhenghao Liu
Chenyan Xiong
Maosong Sun
Zhiyuan Liu
98
225
0
22 Oct 2019
Contrastive Language Adaptation for Cross-Lingual Stance Detection
Contrastive Language Adaptation for Cross-Lingual Stance Detection
Gavin Hartnett
A. Lohn
Alexander P. Sedlack
79
47
0
04 Oct 2019
Predicting the Role of Political Trolls in Social Media
Predicting the Role of Political Trolls in Social Media
Atanas G. Atanasov
Danny Scarponi
Daniel Klein
66
26
0
04 Oct 2019
Mapping (Dis-)Information Flow about the MH17 Plane Crash
Mapping (Dis-)Information Flow about the MH17 Plane Crash
Mareike Hartmann
Yevgeniy Golovchenko
Isabelle Augenstein
64
11
0
03 Oct 2019
Modeling Conversation Structure and Temporal Dynamics for Jointly
  Predicting Rumor Stance and Veracity
Modeling Conversation Structure and Temporal Dynamics for Jointly Predicting Rumor Stance and Veracity
Penghui Wei
Nan Xu
Wenji Mao
97
73
0
18 Sep 2019
12
Next