As online false information continues to grow, automated fact-checking has gained an increasing amount of attention in recent years. Researchers in the field of Natural Language Processing (NLP) have contributed to the task by building fact-checking datasets, devising automated fact-checking pipelines and proposing NLP methods to further research in the development of different components. This article reviews relevant research on automated fact-checking covering both the claim detection and claim validation components
Recent research suggests that not all fact-checking efforts are equal: when and what is fact-checked...
Recent research suggests that not all fact checking efforts are equal: when and what is fact checked...
This factsheet gives an overview of current efforts to automatically police false claims and mislead...
Fact-checking has become increasingly important due to the speed with which both information and mis...
In the past couple of years, there has been a significant increase of the amount of false informatio...
The recently increased focus on misinformation has stimulated research in fact checking, the task of...
Automated fact checking is becoming increasingly vital as both truthful and fallacious information a...
Social media and user-generated content (UGC) have become increasingly important features of journal...
In today's digital era, the rapid spread of misinformation poses threats to public well-being and so...
In the era of misinformation and machine learning, the fact-checking community is eager to develop s...
Many approaches exist for analysing fact checking for fake news identification, which is the focus o...
In an effort to assist factcheckers in the process of factchecking, we tackle the claim detection ta...
Automated fact checking is a task in the domain of Natural Language Processing that deals with the v...
In this paper we introduce the task of fact checking, i.e. the assessment of the truth-fulness of a ...
The reporting and the analysis of current events around the globe has expanded from professional, ed...
Recent research suggests that not all fact-checking efforts are equal: when and what is fact-checked...
Recent research suggests that not all fact checking efforts are equal: when and what is fact checked...
This factsheet gives an overview of current efforts to automatically police false claims and mislead...
Fact-checking has become increasingly important due to the speed with which both information and mis...
In the past couple of years, there has been a significant increase of the amount of false informatio...
The recently increased focus on misinformation has stimulated research in fact checking, the task of...
Automated fact checking is becoming increasingly vital as both truthful and fallacious information a...
Social media and user-generated content (UGC) have become increasingly important features of journal...
In today's digital era, the rapid spread of misinformation poses threats to public well-being and so...
In the era of misinformation and machine learning, the fact-checking community is eager to develop s...
Many approaches exist for analysing fact checking for fake news identification, which is the focus o...
In an effort to assist factcheckers in the process of factchecking, we tackle the claim detection ta...
Automated fact checking is a task in the domain of Natural Language Processing that deals with the v...
In this paper we introduce the task of fact checking, i.e. the assessment of the truth-fulness of a ...
The reporting and the analysis of current events around the globe has expanded from professional, ed...
Recent research suggests that not all fact-checking efforts are equal: when and what is fact-checked...
Recent research suggests that not all fact checking efforts are equal: when and what is fact checked...
This factsheet gives an overview of current efforts to automatically police false claims and mislead...