Keaton Kimura

Keaton Kimura is a Lead Data Analyst specializing in journalistic integrity and audience engagement metrics, with 14 years of experience transforming raw data into actionable insights for the news industry. He holds a Master of Science in Data Science from Carnegie Mellon University, where his thesis explored the societal impact of data visualization in crisis reporting. Keaton has spearheaded data initiatives at NewsPulse Analytics and the Global Press Institute, focusing on understanding complex reader behaviors and the spread of information. His professional philosophy centers on using data as a tool for transparency and accountability, ensuring that journalistic decisions are informed by evidence, not speculation. Keaton's groundbreaking research on "Algorithmic Bias in News Feed Curation" was published in the Journal of Digital Journalism, significantly influencing industry best practices for ethical data use. Readers can expect his articles to provide deep dives into the analytical underpinnings of current events, offering clear, data-backed perspectives on media trends, audience dynamics, and the critical role of data in maintaining a healthy information ecosystem