@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://waim.network/sites/crowston.syr.edu/files/CJ_2020_paper_26.pdf},
	author = {Ayse Dalgali and Kevin Crowston}
}
@proceedings {2020,
	title = {Factors Influencing Approval of Wikipedia Bots},
	year = {2020},
	address = {Wailea, HI},
	abstract = {<p>Before a Wikipedia bot is allowed to edit, the operator of the bot must get approval. The Bot Approvals Group (BAG), a committee of Wikipedia bot developers, users and editors, discusses each bot request to reach consensus regarding approval or denial. We examine factors related to approval of a bot by analyzing 100 bots{\textquoteright} project pages. The results suggest that usefulness, value-based decision making and the bot{\textquoteright}s status (e.g., automatic or manual) are related to approval. This study may contribute to understanding decision making regarding the human-automation boundary and may lead to developing more efficient bots.</p>},
	doi = {10.24251/HICSS.2020.018},
	attachments = {https://waim.network/sites/crowston.syr.edu/files/HICSS_WikipediaPaper_3.9.new\%20kc\%20\%282\%29.pdf},
	author = {Ayse Dalgali and Kevin Crowston}
}
