As journalism shifts into the 21st century, the opportunities for reinventing the ways that news stories are found and told using computing and data are practically endless. In this talk, I’ll detail a few strands of current research in the Computational Journalism Lab at UMD, including (1) applying the core journalistic functions of accountability reporting and investigation to algorithms in use in industry and government, (2) data mining of online news comments to improve journalistic moderation, sourcing, and reporting, and (3) visualizing media bias and framing across different outlets to better understand news discourse. I hope to spark interest in this emerging field and articulate a number of opportunities for computing and information scientists to do applied research in the service of better journalism.