@proceedings {petridis2023anglekindling,
	title = {AngleKindling: Supporting Journalistic Angle Ideation with Large Language Models},
	year = {2023},
	doi = {10.1145/3544548.3580907},
	url = {https://savvaspetridis.github.io/papers/anglekindling.pdf},
	author = {Petridis, Savvas and Diakopoulos, Nicholas and Crowston, Kevin and Hansen, Mark and Henderson, Keren and Jastrzebski, Stan and Nickerson, Jefrey V and Chilton, Lydia B}
}
@conference {2020,
	title = {Algorithmic Journalism and Its Impacts on Work},
	booktitle = {Computation + Journalism Symposium },
	year = {2020},
	edition = {(cancelled due to COVID; presented in 2021)},
	abstract = {<p>In the artificial intelligence era, algorithmic journalists can produce news reports in natural language from structured data thanks to natural language generation (NLG) algorithms. This paper presents several algorithmic content generation models and discusses the impacts of algorithmic journalism on work within a framework consisting of three levels: replacing tasks of journalists, increasing efficiency, and developing new capabilities within journalism. The findings indicate that algorithmic journalism technology may lead some changes in journalism by enabling individual users to produce their own stories. This paper may contribute to an understanding of how algorithmic news is created and how algorithmic journalism technology impacts work.</p>},
	url = {https://cpb-us-w2.wpmucdn.com/express.northeastern.edu/dist/d/53/files/2020/02/CJ_2020_paper_26.pdf},
	attachments = {https://futureofnewswork.syr.edu/sites/crowston.syr.edu/files/CJ_2020_paper_26.pdf},
	author = {Ayse Dalgali and Kevin Crowston}
}
