Oigetit.ai - Fake News Filter
Anna Gasparyan is currently working at Oigetit.ai as a QA Manager. Prior to this, Anna was a Web QA Analyst at the same company. Anna previously worked as a QA Analyst at DevMountain. Anna holds a degree in Software QA engineering from Devmountain and a Doctor of Medicine from Saint Petersburg State Medical Academy and Yerevan State Medical University. Anna's expertise lies in reviewing software documentation, creating test plans, developing test cases, conducting regression tests, automating test cases using TypeScript and Selenium WebDriver, and collaborating with team members to achieve project goals. Anna also excels in code review, debugging, setting up GitHub repositories, and presenting projects to demonstrate technical skills.
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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!