TY - GEN
T1 - AngleKindling
T2 - 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023
AU - Petridis, Savvas
AU - Diakopoulos, Nicholas
AU - Crowston, Kevin
AU - Hansen, Mark
AU - Henderson, Keren
AU - Jastrzebski, Stan
AU - Nickerson, Jeffrey V.
AU - Chilton, Lydia B.
N1 - Publisher Copyright:
© 2023 ACM.
PY - 2023/4/19
Y1 - 2023/4/19
N2 - News media often leverage documents to find ideas for stories, while being critical of the frames and narratives present. Developing angles from a document such as a press release is a cognitively taxing process, in which journalists critically examine the implicit meaning of its claims. Informed by interviews with journalists, we developed AngleKindling, an interactive tool which employs the common sense reasoning of large language models to help journalists explore angles for reporting on a press release. In a study with 12 professional journalists, we show that participants found AngleKindling significantly more helpful and less mentally demanding to use for brainstorming ideas, compared to a prior journalistic angle ideation tool. AngleKindling helped journalists deeply engage with the press release and recognize angles that were useful for multiple types of stories. From our findings, we discuss how to help journalists customize and identify promising angles, and extending AngleKindling to other knowledge-work domains.
AB - News media often leverage documents to find ideas for stories, while being critical of the frames and narratives present. Developing angles from a document such as a press release is a cognitively taxing process, in which journalists critically examine the implicit meaning of its claims. Informed by interviews with journalists, we developed AngleKindling, an interactive tool which employs the common sense reasoning of large language models to help journalists explore angles for reporting on a press release. In a study with 12 professional journalists, we show that participants found AngleKindling significantly more helpful and less mentally demanding to use for brainstorming ideas, compared to a prior journalistic angle ideation tool. AngleKindling helped journalists deeply engage with the press release and recognize angles that were useful for multiple types of stories. From our findings, we discuss how to help journalists customize and identify promising angles, and extending AngleKindling to other knowledge-work domains.
KW - Brainstorming
KW - Generative AI
KW - Ideation
KW - Journalism
KW - Large Language Models
UR - http://www.scopus.com/inward/record.url?scp=85159633125&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85159633125&partnerID=8YFLogxK
U2 - 10.1145/3544548.3580907
DO - 10.1145/3544548.3580907
M3 - Conference contribution
AN - SCOPUS:85159633125
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
Y2 - 23 April 2023 through 28 April 2023
ER -