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The State of Human-centered NLP Technology for Fact-checking

The State of Human-centered NLP Technology for Fact-checking

8 January 2023
Anubrata Das
Houjiang Liu
Venelin Kovatchev
Matthew Lease
    HILM
ArXivPDFHTML

Papers citing "The State of Human-centered NLP Technology for Fact-checking"

41 / 41 papers shown
Title
When Claims Evolve: Evaluating and Enhancing the Robustness of Embedding Models Against Misinformation Edits
Jabez Magomere
Emanuele La Malfa
Manuel Tonneau
Ashkan Kazemi
Scott A. Hale
KELM
72
0
0
05 Mar 2025
From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systems
Zekun Zhou
Xiaocheng Feng
L. Huang
Xiachong Feng
Ziyun Song
...
Baoxin Wang
Dayong Wu
Guoping Hu
Ting Liu
Bing Qin
AI4TS
74
1
0
03 Mar 2025
BiDeV: Bilateral Defusing Verification for Complex Claim Fact-Checking
BiDeV: Bilateral Defusing Verification for Complex Claim Fact-Checking
Yuxuan Liu
Hongda Sun
Wenya Guo
Xinyan Xiao
Cunli Mao
Zhengtao Yu
Rui Yan
66
2
0
22 Feb 2025
Step-by-Step Fact Verification System for Medical Claims with Explainable Reasoning
Step-by-Step Fact Verification System for Medical Claims with Explainable Reasoning
Juraj Vladika
Ivana Hacajová
Florian Matthes
LRM
95
0
0
21 Feb 2025
Think Together and Work Better: Combining Humans' and LLMs' Think-Aloud Outcomes for Effective Text Evaluation
Think Together and Work Better: Combining Humans' and LLMs' Think-Aloud Outcomes for Effective Text Evaluation
SeongYeub Chu
JongWoo Kim
MunYong Yi
57
3
0
21 Feb 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
78
4
0
13 Feb 2025
Towards More Effective Table-to-Text Generation: Assessing In-Context
  Learning and Self-Evaluation with Open-Source Models
Towards More Effective Table-to-Text Generation: Assessing In-Context Learning and Self-Evaluation with Open-Source Models
Sahar Iravani
Tim . O . F Conrad
LMTD
34
0
0
15 Oct 2024
Misinformation with Legal Consequences (MisLC): A New Task Towards
  Harnessing Societal Harm of Misinformation
Misinformation with Legal Consequences (MisLC): A New Task Towards Harnessing Societal Harm of Misinformation
Chu Fei Luo
Radin Shayanfar
R. Bhambhoria
Samuel Dahan
Xiaodan Zhu
AILaw
31
0
0
04 Oct 2024
"The Data Says Otherwise"-Towards Automated Fact-checking and
  Communication of Data Claims
"The Data Says Otherwise"-Towards Automated Fact-checking and Communication of Data Claims
Yu Fu
Shunan Guo
Jane Hoffswell
Victor S. Bursztyn
Ryan A. Rossi
J. Stasko
28
2
0
16 Sep 2024
The Implications of Open Generative Models in Human-Centered Data
  Science Work: A Case Study with Fact-Checking Organizations
The Implications of Open Generative Models in Human-Centered Data Science Work: A Case Study with Fact-Checking Organizations
Robert Wolfe
Tanushree Mitra
40
1
0
04 Aug 2024
MetaSumPerceiver: Multimodal Multi-Document Evidence Summarization for
  Fact-Checking
MetaSumPerceiver: Multimodal Multi-Document Evidence Summarization for Fact-Checking
Ting-Chih Chen
Chia-Wei Tang
Chris Thomas
49
3
0
18 Jul 2024
The Impact and Opportunities of Generative AI in Fact-Checking
The Impact and Opportunities of Generative AI in Fact-Checking
Robert Wolfe
Tanushree Mitra
32
14
0
24 May 2024
Mining the Explainability and Generalization: Fact Verification Based on
  Self-Instruction
Mining the Explainability and Generalization: Fact Verification Based on Self-Instruction
Guangyao Lu
Yulin Liu
40
0
0
21 May 2024
RAGAR, Your Falsehood Radar: RAG-Augmented Reasoning for Political
  Fact-Checking using Multimodal Large Language Models
RAGAR, Your Falsehood Radar: RAG-Augmented Reasoning for Political Fact-Checking using Multimodal Large Language Models
M. A. Khaliq
P. Chang
M. Ma
B. Pflugfelder
F. Miletić
LRM
22
5
0
18 Apr 2024
Fact Checking Beyond Training Set
Fact Checking Beyond Training Set
Payam Karisani
Heng Ji
KELM
32
0
0
27 Mar 2024
Scope of Large Language Models for Mining Emerging Opinions in Online
  Health Discourse
Scope of Large Language Models for Mining Emerging Opinions in Online Health Discourse
Joseph Gatto
Madhusudan Basak
Yash Srivastava
Philip Bohlman
S. Preum
40
1
0
05 Mar 2024
Think Fast, Think Slow, Think Critical: Designing an Automated
  Propaganda Detection Tool
Think Fast, Think Slow, Think Critical: Designing an Automated Propaganda Detection Tool
L. Zavolokina
Kilian Sprenkamp
Zoya Katashinskaya
Daniel Gordon Jones
Gerhard Schwabe
37
13
0
29 Feb 2024
Diverse, but Divisive: LLMs Can Exaggerate Gender Differences in Opinion
  Related to Harms of Misinformation
Diverse, but Divisive: LLMs Can Exaggerate Gender Differences in Opinion Related to Harms of Misinformation
Terrence Neumann
Sooyong Lee
Maria De-Arteaga
S. Fazelpour
Matthew Lease
36
4
0
29 Jan 2024
Claim Detection for Automated Fact-checking: A Survey on Monolingual,
  Multilingual and Cross-Lingual Research
Claim Detection for Automated Fact-checking: A Survey on Monolingual, Multilingual and Cross-Lingual Research
Rrubaa Panchendrarajan
A. Zubiaga
HILM
27
15
0
22 Jan 2024
Pipeline and Dataset Generation for Automated Fact-checking in Almost
  Any Language
Pipeline and Dataset Generation for Automated Fact-checking in Almost Any Language
Jan Drchal
Herbert Ullrich
Tomás Mlynár
Václav Moravec
HILM
19
1
0
15 Dec 2023
RELIC: Investigating Large Language Model Responses using
  Self-Consistency
RELIC: Investigating Large Language Model Responses using Self-Consistency
Furui Cheng
Vilém Zouhar
Simran Arora
Mrinmaya Sachan
Hendrik Strobelt
Mennatallah El-Assady
HILM
24
18
0
28 Nov 2023
EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data
  Augmentation for Multi-hop Fact Verification
EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact Verification
Yingjie Zhu
Jiasheng Si
Yibo Zhao
Haiyang Zhu
Deyu Zhou
Yulan He
41
6
0
23 Oct 2023
The Perils & Promises of Fact-checking with Large Language Models
The Perils & Promises of Fact-checking with Large Language Models
Dorian Quelle
Alexandre Bovet
28
20
0
20 Oct 2023
Unsupervised Pretraining for Fact Verification by Language Model
  Distillation
Unsupervised Pretraining for Fact Verification by Language Model Distillation
A. Bazaga
Pietro Lió
Bo Dai
HILM
30
2
0
28 Sep 2023
Automating construction contract review using knowledge graph-enhanced large language models
Automating construction contract review using knowledge graph-enhanced large language models
Chunmo Zheng
Saika Wong
Xing Su
Yinqiu Tang
Ahsan Nawaz
Mohamad Kassem
26
2
0
21 Sep 2023
Leveraging Social Discourse to Measure Check-worthiness of Claims for
  Fact-checking
Leveraging Social Discourse to Measure Check-worthiness of Claims for Fact-checking
Megha Sundriyal
Md. Shad Akhtar
Tanmoy Chakraborty
18
0
0
17 Sep 2023
Designing and Evaluating Presentation Strategies for Fact-Checked
  Content
Designing and Evaluating Presentation Strategies for Fact-Checked Content
Danula Hettiachchi
Kaixin Ji
Jenny A Kennedy
Anthony McCosker
Flora D. Salim
Mark Sanderson
Falk Scholer
Damiano Spina
22
7
0
20 Aug 2023
Human-centered NLP Fact-checking: Co-Designing with Fact-checkers using
  Matchmaking for AI
Human-centered NLP Fact-checking: Co-Designing with Fact-checkers using Matchmaking for AI
Houjiang Liu
Anubrata Das
Alexander Boltz
Didi Zhou
Daisy Pinaroc
Matthew Lease
Min Kyung Lee
HAI
25
16
0
14 Aug 2023
Has It All Been Solved? Open NLP Research Questions Not Solved by Large
  Language Models
Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models
Oana Ignat
Zhijing Jin
Artem Abzaliev
Laura Biester
Santiago Castro
...
Verónica Pérez-Rosas
Siqi Shen
Zekun Wang
Winston Wu
Rada Mihalcea
LRM
41
6
0
21 May 2023
Some Observations on Fact-Checking Work with Implications for
  Computational Support
Some Observations on Fact-Checking Work with Implications for Computational Support
Rob Procter
Miguel Arana Catania
Yulan He
Maria Liakata
A. Zubiaga
E. Kochkina
Runcong Zhao
36
10
0
03 May 2023
True or false? Cognitive load when reading COVID-19 news headlines: an
  eye-tracking study
True or false? Cognitive load when reading COVID-19 news headlines: an eye-tracking study
Li Shi
Nilavra Bhattacharya
Anubrata Das
J. Gwizdka
11
3
0
16 Feb 2023
NL-Augmenter: A Framework for Task-Sensitive Natural Language
  Augmentation
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
Kaustubh D. Dhole
Varun Gangal
Sebastian Gehrmann
Aadesh Gupta
Zhenhao Li
...
Tianbao Xie
Usama Yaseen
Michael A. Yee
Jing Zhang
Yue Zhang
174
86
0
06 Dec 2021
Overview of the CLEF-2019 CheckThat!: Automatic Identification and
  Verification of Claims
Overview of the CLEF-2019 CheckThat!: Automatic Identification and Verification of Claims
Tamer Elsayed
Preslav Nakov
Alberto Barrón-Cedeño
Maram Hasanain
Reem Suwaileh
Giovanni Da San Martino
Preslav Nakov
63
109
0
25 Sep 2021
Graph Reasoning with Context-Aware Linearization for Interpretable Fact
  Extraction and Verification
Graph Reasoning with Context-Aware Linearization for Interpretable Fact Extraction and Verification
Neema Kotonya
Thomas Spooner
Daniele Magazzeni
Francesca Toni
38
13
0
25 Sep 2021
Automated Fact-Checking: A Survey
Automated Fact-Checking: A Survey
Xia Zeng
Amani S. Abumansour
A. Zubiaga
HILM
180
95
0
23 Sep 2021
The Case for Claim Difficulty Assessment in Automatic Fact Checking
The Case for Claim Difficulty Assessment in Automatic Fact Checking
Prakhar Singh
Anubrata Das
J. Li
Matthew Lease
26
9
0
20 Sep 2021
Decision-Focused Summarization
Decision-Focused Summarization
Chao-Chun Hsu
Chenhao Tan
39
16
0
14 Sep 2021
Assisting the Human Fact-Checkers: Detecting All Previously Fact-Checked
  Claims in a Document
Assisting the Human Fact-Checkers: Detecting All Previously Fact-Checked Claims in a Document
Shaden Shaar
Nikola Georgiev
Firoj Alam
Giovanni Da San Martino
Aisha Mohamed
Preslav Nakov
HILM
70
26
0
14 Sep 2021
A Survey on Stance Detection for Mis- and Disinformation Identification
A Survey on Stance Detection for Mis- and Disinformation Identification
Momchil Hardalov
Arnav Arora
Preslav Nakov
Isabelle Augenstein
111
132
0
27 Feb 2021
Explainable Automated Fact-Checking for Public Health Claims
Explainable Automated Fact-Checking for Public Health Claims
Neema Kotonya
Francesca Toni
218
248
0
19 Oct 2020
Revealing the Importance of Semantic Retrieval for Machine Reading at
  Scale
Revealing the Importance of Semantic Retrieval for Machine Reading at Scale
Yixin Nie
Songhe Wang
Joey Tianyi Zhou
RALM
164
134
0
17 Sep 2019
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