Computational Journalism was initially conceived of as an application of computing technologies to enable journalism across information tasks such as information gathering, organization and sensemaking, storytelling, and dissemination. But computing and algorithms can also become the object of journalism. Algorithms adjudicate a large array of decisions in our lives: not just search engines and personalized online news systems, but educational evaluations, markets and political campaigns, and the management of social services like welfare and public safety. A new form of computational journalism that I call “Algorithmic Accountability Reporting” is emerging to apply the core journalistic functions of watchdogging and accountability reporting to algorithms. In this talk I will provide some perspective on the tool-oriented roots of computational journalism, and then discuss how algorithmic accountability reporting is emerging as a mechanism for elucidating and articulating the power structures, biases, and influences that computational artifacts play in society.