Implications for hybrid newswork from the activities of local US television journalists during COVID

Making sense of AI systems development

Dolata, M., & Crowston, K.. (2024). Making sense of AI systems development. Ieee Transactions On Software Engineering, 50(1), 123–140. https://doi.org/10.1109/TSE.2023.3338857

Video for ReelFramer: Co-creating News Reels on Social Media with Generative AI

AngleKindling: Supporting Journalistic Angle Ideation with Large Language Models

Petridis, S., Diakopoulos, N., Crowston, K., Hansen, M., Henderson, K., Jastrzebski, S., et al.. (2023). AngleKindling: Supporting Journalistic Angle Ideation with Large Language Models. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3544548.3580907

Project archetypes: A blessing and a curse for AI development

Dolata, M., Crowston, K., & Schwabe, G.. (2022). Project archetypes: A blessing and a curse for AI development. In International Conference on Information Systems (ICIS). Presented at the International Conference on Information Systems (ICIS), Copenhagen, Denmark. Retrieved de https://aisel.aisnet.org/icis2022/is_design/is_design/6

Communicating with the masses from isolation: What happened when local television journalists worked from home

Henderson, K., Raheja, R., & Crowston, K.. (2022). Communicating with the masses from isolation: What happened when local television journalists worked from home. In Hawai'i International Conference on System Sciences. Presented at the Hawai'i International Conference on System Sciences, Virtual due to COVID. https://doi.org/10.24251/HICSS.2022.858

Planning to study automation and the future of news production

We (Kevin Crowston, Jeffrey Nickerson, Lydia Chilton and Keren Henderson) received an NSF Future of Work at the Human-Technology Frontier planning grant (20-26583), "Planning to study automation and the future of news production".

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