Oigetit.ai - Fake News Filter
Trung (Ryan) Huynh is a software engineer with extensive experience in developing and maintaining applications across iOS, Android, and web platforms. Currently employed at Oigetit as a software engineer since January 2020, Trung (Ryan) leads a team to implement new features, fix bugs, and automate testing and deployment processes. Previously, Trung (Ryan) worked as a Jr. Developer at Old Republic Title, contributing to cross-functional teams and utilizing Transact-SQL for application functionality. In a research assistant role at San Jose State University, Trung (Ryan) focused on similarity search algorithms, developing the L2AP library in C++. Earlier experience includes an internship at Greystone Data Technology, where troubleshooting and collaboration on testing strategies were key responsibilities. Trung (Ryan) holds a Master's degree in Computer Software Engineering from San Jose State University and a Bachelor's degree in Computer Science from California State University-Sacramento.
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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!