Introducing Vera, our virtual assistant for fact-checking that automatically retrieves, analyzes, and verifies claims and texts using trusted sources. Vera makes fact-checking transparent and accurate by comparing each input claim with trustable information from the web (or your knowledge base!), checking its veracity, and motivating its decision through a detailed analysis grounded on the retrieved evidence.
Integrate Vera to assist your decision-making with real-time fact-checking!
Given an input text to verify, Vera begins its process by retrieving relevant sources from the web and/or proprietary databases. Using advanced information retrieval techniques, it identifies information that is particularly relevant to the input, including academic studies, reputable news articles, and official documents. This approach ensures that the fact-checking process is grounded in reliable data.
After gathering the sources, Vera assesses the truthfulness of the input text by comparing it against the information retrieved. By employing natural language processing and analytical algorithms, Vera evaluates the claims and determines their accuracy in real time based on the evidence found in the sources.
Based on its assessment, Vera classifies the text as true, false, neutral or controversial. This classification is accompanied by a clear explanation of the reasoning behind the judgment, helping users and/or downstream systems understand the context and evidence that led to the conclusion.
To enhance transparency, Vera provides an in-depth analysis of the supporting sources used in its evaluation. Users can explore each source, verify its relevance, and see how it contributes to the overall judgment, empowering them with the information needed to make informed decisions. This analysis is also useful for understanding the different perspectives presented by the retrieved sources on a given fact.
In an age where misinformation spreads rapidly, tools like Vera are crucial for ensuring information accuracy. Vera verifies statements by retrieving relevant sources from the web and proprietary databases, assessing their truthfulness, and classifying claims as true, false, neutral or controversial. It also provides detailed analyses of supporting sources. As large language models (LLMs) blur the lines between fact and fiction, Vera empowers users to make informed decisions and promotes trust in reliable information.
Your message has been sent correctly.
Thank you for reaching out to us. We will get back to you as soon as possible.
We are sorry, your request cannot be processed right now.
Please wait a bit and try again.