no code implementations • 15 May 2024 • Julia Barnett, Kimon Kieslich, Nicholas Diakopoulos
Through this case study on generative AI harms we demonstrate the efficacy of our method as a tool to iterate on the effectiveness of policy on mitigating various negative impacts.
no code implementations • 31 Jan 2024 • Mowafak Allaham, Nicholas Diakopoulos
In this paper, we demonstrate the potential for generating high-quality and diverse impacts of AI in society by fine-tuning completion models (GPT-3 and Mistral-7B) on a diverse sample of articles from news media and comparing those outputs to the impacts generated by instruction-based (GPT-4 and Mistral-7B-Instruct) models.
no code implementations • 12 Nov 2023 • Sachita Nishal, Jasmine Sinchai, Nicholas Diakopoulos
Overall, our findings contribute a richer view of the sociotechnical system around computational news discovery tools, and suggest ways to improve such tools to better support the practices of science journalists.
no code implementations • 14 Dec 2020 • Jack Bandy, Nicholas Diakopoulos
Motivated by TikTok's surge in popularity and its growing sociopolitical implications, this work explores the role of TikTok's recommender algorithm in amplifying call-to-action videos that promoted collective action against the Tulsa rally.
Human-Computer Interaction Computers and Society Social and Information Networks
no code implementations • 29 Sep 2014 • Yelena Mejova, Amy X. Zhang, Nicholas Diakopoulos, Carlos Castillo
We find that in general, when it comes to controversial issues, the use of negative affect and biased language is prevalent, while the use of strong emotion is tempered.