Results 11 to 20 of about 122,592 (253)
Fact Checking with Insufficient Evidence
Transactions of the Association for Computational Linguistics, 2023 AbstractAutomating the fact checking (FC) process relies on information obtained from external sources. In this work, we posit that it is crucial for FC models to make veracity predictions only when there is sufficient evidence and otherwise indicate when it is not enough.
Pepa Atanasova +3 more
doaj +5 more sources
A Survey on Automated Fact-Checking
Transactions of the Association for Computational Linguistics, 2022 Abstract Fact-checking has become increasingly important due to the speed with which both information and misinformation can spread in the modern media ecosystem. Therefore, researchers have been exploring how fact-checking can be automated, using techniques based on natural language processing, machine learning, knowledge representation,
Zhijiang Guo +2 more
doaj +4 more sources
The Demand for Fact-Checking [PDF]
SSRN Electronic Journal, 2021 Using a large-scale online experiment with more than 8,000 U.S. respondents, we examine how the demand for a politics newsletter changes when the newsletter content is fact-checked. We first document an overall muted demand for fact-checking when the newsletter features stories from an ideologically aligned source, even though fact-checking increases ...
Chopra, Felix +2 more
openaire +2 more sources
Automated fact‐checking: A survey [PDF]
Language and Linguistics Compass, 2021 Abstract 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 ...
Xia Zeng +2 more
openaire +3 more sources
The widespread dissemination of misinformation across digital platforms has led to an urgent need for scalable and effective fake news detection systems. This project presents a real-time fake news detection model that leverages machine learning and Natural Language Processing (NLP) to determine the authenticity of news content.
Korbinian Klinghardt, Michael Graßl
+10 more sources
Proceedings of the ACM on Human-Computer Interaction, 2022 How do the reasons people post misinformation affect how they respond to fact checking interventions? In this research, we conducted a qualitative study of people who shared misinformation. We started with stories marked as false by a popular fact checker, Snopes, and identified people who posted those stories on Reddit.
D. Scott Appling +2 more
openaire +1 more source
Fact checking and analyzing the web [PDF]
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data, 2013 Fact checking and data journalism are currently strong trends. The sheer amount of data at hand makes it di fficult even for trained professionals to spot biased, outdated or simply incorrect information. We propose to demonstrate FactMinder, a fact checking and analysis assistance application.
Goasdoué, François +5 more
openaire +4 more sources
Generating Fact Checking Briefs [PDF]
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020 Fact checking at scale is difficult -- while the number of active fact checking websites is growing, it remains too small for the needs of the contemporary media ecosystem. However, despite good intentions, contributions from volunteers are often error-prone, and thus in practice restricted to claim detection.
Angela Fan +7 more
openaire +2 more sources
Generating Fact Checking Explanations [PDF]
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020 Most existing work on automated fact checking is concerned with predicting the veracity of claims based on metadata, social network spread, language used in claims, and, more recently, evidence supporting or denying claims. A crucial piece of the puzzle that is still missing is to understand how to automate the most elaborate part of the process ...
Pepa Atanasova +3 more
openaire +4 more sources
Toward computational fact-checking [PDF]
Proceedings of the VLDB Endowment, 2014 Our news are saturated with claims of "facts" made from data. Database research has in the past focused on how to answer queries, but has not devoted much attention to discerning more subtle qualities of the resulting claims, e.g., is a claim "cherry-picking"?
You Wu 0001 +4 more
openaire +1 more source