82 citations · 82 across the 1 of their papers we have counts for
3 papers
cs.CY2024
Reranking partisan animosity in algorithmic social media feeds alters affective polarization
Tiziano Piccardi, Martin Saveski, Chenyan Jia +3
Today, social media platforms hold sole power to study the effects of feed ranking algorithms. We developed a platform-independent method that reranks participants' feeds in real-t…
cs.SI2024
Reranking Social Media Feeds: A Practical Guide for Field Experiments
Tiziano Piccardi, Martin Saveski, Chenyan Jia +3
Social media plays a central role in shaping public opinion and behavior, yet performing experiments on these platforms and, in particular, on feed algorithms is becoming increasin…
cs.HC2024★ 82 cited
How Culture Shapes What People Want From AI
Xiao Ge, Chunchen Xu, Daigo Misaki +2
There is an urgent need to incorporate the perspectives of culturally diverse groups into AI developments. We present a novel conceptual framework for research that aims to expand,…