Oigetit.ai - Fake News Filter
Olga Ramaniuk is a QA Engineer with extensive experience in software quality assurance and legal advisory roles. Currently, Olga is employed at Oigetit since May 2022, where responsibilities include reporting bugs, evaluating software design, and collaborating on special projects. Previously, Olga worked at Sipcom LTD. from September 2018 to December 2021, focusing on manual testing, developing test documentation, and performing API tests and SQL queries. Olga's career began at Dream Makers Toys from February 2008 to September 2014 as a Legal Advisor, drafting legal documents and representing clients in court. Olga holds a Bachelor's degree in Computer Software Engineering from Belarusian National Technical University, along with a Bachelor's degree in Jurisprudence from Yanka Kupala State University of Grodno and additional education in QA Automation and Python programming.
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Oigetit.ai - Fake News Filter
As the world’s first ai-powered fake news filter, our mission is to eliminate the time you spend reading fake news. Oigetit uses a series of complex algorithms to determine if the news you are reading is real or fake based on fact-checking for errors in articles’ statements to recognize unreliable information. Oigetit’s AI-powered fake news filtering technology compares the facts within an article against a large fact database that is derived from historical articles; then, it statistically calculates the levels of bias. Root source analysis also allows Oigetit to quickly determine the validity of the news source. Oigetit then assigns a reliability % score and colored shield based on these factors. This whole analysis occurs within the blink of an eye. With Oigetit, manually deciding the trustworthiness of news articles is no longer an issue. Try out the iOS or Android app for free or visit our website at www.oigetit.ai to see our fake news filter in action!