Youngkyung Seo

Papers

Total Citations

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About

Youngkyung Seo is a researcher whose work lies at the critical intersection of media reliability and artificial intelligence, with a particular focus on combating the spread of misinformation. Her most influential contribution is the development of FaNDeR (Fake News Detection model using media Reliability), a novel framework introduced in her 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 variable, Seo's approach offers a more nuanced solution than simple content analysis, recognizing that the trustworthiness of the source itself is a crucial indicator of veracity. Her work is especially timely given the proliferation of AI-generated news and the increasing difficulty of manual fact-checking. Seo's research provides a practical tool for platforms and journalists seeking to maintain information integrity, and her innovative integration of source credibility into detection algorithms has established her as a promising voice in the fight against digital misinformation.