62 citations · 172 across the 7 of their papers we have counts for
7 papers
Envisioning the Applications and Implications of Generative AI for News Media
Sachita Nishal, Nicholas Diakopoulos
This article considers the increasing use of algorithmic decision-support systems and synthetic media in the newsroom, and explores how generative models can help reporters and edi…
Crowdsourcing Impacts: Exploring the Utility of Crowds for Anticipating Societal Impacts of Algorithmic Decision Making
Julia Barnett, Nicholas Diakopoulos
With the increasing pervasiveness of algorithms across industry and government, a growing body of work has grappled with how to understand their societal impact and ethical implica…
Unpacking the Expressed Consequences of AI Research in Broader Impact Statements
Priyanka Nanayakkara, Jessica Hullman, Nicholas Diakopoulos
The computer science research community and the broader public have become increasingly aware of negative consequences of algorithmic systems. In response, the top-tier Neural Info…
#TulsaFlop: A Case Study of Algorithmically-Influenced Collective Action on TikTok
Jack Bandy, Nicholas Diakopoulos
When a re-election rally for the U.S. president drew smaller crowds than expected in Tulsa, Oklahoma, many people attributed the low turnout to collective action organized by TikTo…
Anticipatory Ethics and the Role of Uncertainty
Priyanka Nanayakkara, Nicholas Diakopoulos, Jessica Hullman
Making conjectures about future consequences of a technology is an exercise in trying to reduce various forms of uncertainty. Both to produce and reason about these conjectures req…
Auditing News Curation Systems: A Case Study Examining Algorithmic and Editorial Logic in Apple News
Jack Bandy, Nicholas Diakopoulos
This work presents an audit study of Apple News as a sociotechnical news curation system that exercises gatekeeping power in the media. We examine the mechanisms behind Apple News…
Controversy and Sentiment in Online News
Yelena Mejova, Amy X. Zhang, Nicholas Diakopoulos +1
How do news sources tackle controversial issues? In this work, we take a data-driven approach to understand how controversy interplays with emotional expression and biased language…