Digital Humanities

Exploring Reporter-Desired Features for an AI-Generated Legislative News Tip Sheet

This research concerns the perceived need for and benefits of an algorithmically generated, personalizable tip sheet that could be used by journalists to improve and expand coverage of state legislatures. This study engaged in two research projects to understand if working journalists could make good use of such a tool and, if so, what features and functionalities they would most value within it. This study also explored journalists’ perceptions of the role of such tools in their newswork.

Morgan Papers: Exploring the Correspondence of California’s First Female Architect

Descriptive metadata and full-text transcripts have long been valued for their roles in powering search engines and faceted browsing. But as the web application demonstrates, such textual data (both structured and unstructured) can be leveraged to build a variety of tools which provide deeper and broader insight than simple searching and browsing. The Robert E.