Deokjin Seo

Papers

Total Citations

H-Index

About

Deokjin Seo is a researcher whose work lies at the critical intersection of natural language processing, misinformation detection, and media reliability. His most notable contribution is the development of FaNDeR (Fake News Detection model using media Reliability), a novel framework introduced in his 2018 paper that has garnered 25 citations. This model addresses the growing challenge of distinguishing authentic news from fabricated content in an era of automated journalism and unreliable sources. By incorporating media reliability as a key feature, Seo’s approach moves beyond simple text analysis to consider the credibility of the source itself, offering a more robust solution to the fake news epidemic. His work has significant implications for journalism, social media platforms, and information integrity, providing a practical tool for combating digital misinformation. Seo’s research continues to influence the development of more sophisticated detection systems, making him a notable voice in the fight against fake news.