Technology and News Distribution Research Merge in Computational Journalism Lab

Northwestern University’s Communication Prof. Nick Diakopoulos is leading the way in merging journalism and technology through the Computational Journalism Lab. Growing up in a family of journalists, Diakopoulos was drawn to the intersection of media and technology from a young age. Now, as the founder of the Computational Journalism Lab, he is exploring how algorithms, automation, and AI are impacting news distribution and consumption.

One of the lab’s members, Sachita Nishal, a fourth-year Ph.D. candidate in computer science and communications, is focusing her research on combating misinformation in news distribution. She has developed tools to help reporters rank scientific articles by newsworthiness and simplify complex jargon for readers.

The lab, which consists of about 12 Ph.D. and undergraduate students from various disciplines, meets regularly to present ongoing research projects and receive feedback. Recently, the lab collaborated with the Associated Press on a survey about the use of generative AI in news production, with nearly 300 journalists and newsroom members participating.

Another member of the lab, Julia Barnett, a third-year Ph.D. candidate, brings her experience as a senior data analyst at The Washington Post to her research on social data and artificial ethics. She emphasizes the importance of the lab not only as a research space but also as a social community for its members.

Overall, the Computational Journalism Lab at Northwestern University is at the forefront of exploring the evolving relationship between technology and journalism, with its members dedicated to pushing the boundaries of news production and consumption in the digital age.