@unpublished {wang2025rolehumancreativitypresence,
	title = {The Role of Human Creativity in the Presence of AI Creativity Tools at Work: A Case Study on AI-Driven Content Transformation in Journalism},
	year = {2025},
	url = {https://arxiv.org/abs/2502.05347},
	author = {Sitong Wang and Jocelyn McKinnon-Crowley and Tao Long and Kian Loong Lua and Keren Henderson and Kevin Crowston and Jeffrey V. Nickerson and Mark Hansen and Lydia B. Chilton}
}
@proceedings {9999,
	title = {The task matters: The effect of perceived similarity to AI on intention to use in different task types},
	year = {2025},
	month = {1/2025},
	address = {Waikaloa, HI},
	abstract = {<p>With the development of AI technologies, especially generative AI (GAI) like ChatGPT, GAI is increasingly assisting people in various tasks. However, people may have different requirements for GAI when using it for different kinds of tasks. For instance, when brainstorming new ideas, people may want GAI to propose different ideas that supplement theirs with different problem-solving perspectives, but for decision-making tasks, they may prefer GAI adopt a similar problem-solving process with people to make a similar or even the same decision as they would. We conducted an online experiment examining how perceived similarities between GAI and human task-solving influence people{\textquoteright}s intention to use GAI, mediated by trust, for four task types (creativity, planning, intellective, and decision-making tasks). We demonstrate that the effect of similarity on trust (and so intent to use AI) depends on the type of task. This paper contributes to understanding the impact of task types on the relationship between perceived similarity and GAI adoption, with implications for future use of GAI in various task contexts.</p>},
	doi = {10.24251/HICSS.2025.042},
	attachments = {https://futureofnewswork.syr.edu/sites/crowston.syr.edu/files/AI_similarity.pdf},
	author = {Qingyu Liang and Kevin Crowston and Sangseok You}
}
@article {9999,
	title = {Implications for hybrid newswork from the activities of local US television journalists during COVID},
	journal = {Journalism Practice},
	year = {2024},
	abstract = {<p>In response to the COVID-19 crisis, many local television (TV) newsrooms decided to have employees work from home (WFH) or from the field rather than from the newsroom, creating a kind of hybrid work characterized by flexible work location. From a review of research on telework and WFH, we identified possible impacts of WFH on work and on workers, with a particular focus on news work and news workers. Data on the impacts of hybrid work are drawn from interviews with local television news directors and journalists in the United States and observations of remote work. We found that through creative application of technology, WFH news workers could successfully create a newscast, albeit with some concerns about story quality. However, WFH did not seem to satisfy workers{\textquoteright} needs for socialization or learning individually or as a group. Lifted restrictions on gatherings are mitigating some of the experienced problems, but we expect to see continued challenges to news workers{\textquoteright} informal learning in hybrid work settings.</p>},
	doi = {10.1080/17512786.2024.2344643},
	attachments = {https://futureofnewswork.syr.edu/sites/crowston.syr.edu/files/Implications\%20for\%20hybrid\%20newswork\%20from\%20the\%20activities\%20of\%20local\%20US\%20television\%20journalists\%20during\%20COVID\%20to\%20share.pdf},
	author = {Kevin Crowston and Keren Henderson and Kian Loong Lua and Raghav Raheja}
}
@conference {2024,
	title = {ReelFramer: Human-AI Co-Creation for News-to-Video Translation},
	booktitle = {CHI {\textquoteright}24: CHI Conference on Human Factors in Computing SystemsProceedings of the CHI Conference on Human Factors in Computing Systems},
	year = {2024},
	pages = {1 - 20},
	publisher = {ACM},
	organization = {ACM},
	address = {Honolulu HI USANew York, NY, USA},
	isbn = {9798400703300},
	doi = {10.1145/3613904.3642868},
	author = {Wang, Sitong and Menon, Samia and Long, Tao and Henderson, Keren and Li, Dingzeyu and Crowston, Kevin and Hansen, Mark and Nickerson, Jeffrey V and Chilton, Lydia B},
	editor = {Mueller, Florian Floyd and Kyburz, Penny and Williamson, Julie R. and Sas, Corina and Wilson, Max L. and Dugas, Phoebe Toups and Shklovski, Irina}
}
@article {wang2023reelframer,
	title = {Video for ReelFramer: Co-creating News Reels on Social Media with Generative AI},
	year = {2023},
	type = {Video},
	url = {https://youtu.be/WQZcbdp5yJQ},
	author = {Sitong Wang and Samia Menon and Tao Long and Keren Henderson and Dingzeyu Li and Kevin Crowston and Mark Hansen and Jeffrey V. Nickerson and Lydia B. Chilton}
}
