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In 70% of cases, users trust AI more than the largest encyclopedia.
Verifiability and reliability of information is one of the main content policies of Wikipedia – claims must be supported by links to sources. However, maintaining and improving the quality of these links is a major challenge. Researchers have demonstrated that the link improvement process can be optimized using artificial intelligence (AI).
The developed SIDE system is based on a neural network and can identify Wikipedia citations that do not support claims, and recommend more appropriate sources from the network. SIDE was trained on existing Wikipedia links, learning from the contributions and knowledge of thousands of editors. When SIDE classified Wikipedia sources as unverifiable and offered their own links, users preferred SIDE's recommendations 70% of the time.
Some consider it a giant online resource that contains more than 6.7 million pages. articles (in English), consisting of more than 4.3 billion articles. words, a majestic but error-ridden encyclopedia.
Wikipedia is one of the most visited websites, and to ensure the accuracy of the information, each statement must be verifiable. SIDE not only helps you identify weaknesses in existing links, but also offers alternative sources, optimizing the verification process.
The main task of the technology is to help Wikipedia editors, identify links that may cause verification failures, and offer alternatives if current sources do not support the claims. Introducing an AI-based assistant to the process of creating and editing articles can significantly improve the quality of materials.
Users also evaluated the extent to which the submitted citations supported the statement, and which quote — from SIDE or Wikipedia — was better suited for verification. As a result, more than 60% of users prefer citations from SIDE rather than Wikipedia, and this figure increases significantly when SIDE assigns a very low verification rating to Wikipedia citations.
Thus, the new AI-based technology promises to be a significant tool for improving the verifiability and reliability of Wikipedia information, working in tandem with encyclopedia editors.
Verifiability and reliability of information is one of the main content policies of Wikipedia – claims must be supported by links to sources. However, maintaining and improving the quality of these links is a major challenge. Researchers have demonstrated that the link improvement process can be optimized using artificial intelligence (AI).
The developed SIDE system is based on a neural network and can identify Wikipedia citations that do not support claims, and recommend more appropriate sources from the network. SIDE was trained on existing Wikipedia links, learning from the contributions and knowledge of thousands of editors. When SIDE classified Wikipedia sources as unverifiable and offered their own links, users preferred SIDE's recommendations 70% of the time.
Some consider it a giant online resource that contains more than 6.7 million pages. articles (in English), consisting of more than 4.3 billion articles. words, a majestic but error-ridden encyclopedia.
Wikipedia is one of the most visited websites, and to ensure the accuracy of the information, each statement must be verifiable. SIDE not only helps you identify weaknesses in existing links, but also offers alternative sources, optimizing the verification process.
The main task of the technology is to help Wikipedia editors, identify links that may cause verification failures, and offer alternatives if current sources do not support the claims. Introducing an AI-based assistant to the process of creating and editing articles can significantly improve the quality of materials.
Users also evaluated the extent to which the submitted citations supported the statement, and which quote — from SIDE or Wikipedia — was better suited for verification. As a result, more than 60% of users prefer citations from SIDE rather than Wikipedia, and this figure increases significantly when SIDE assigns a very low verification rating to Wikipedia citations.
Thus, the new AI-based technology promises to be a significant tool for improving the verifiability and reliability of Wikipedia information, working in tandem with encyclopedia editors.
