M Steiger, TJ Bharucha, S Venkatagiri… - Proceedings of the …, 2021 - dl.acm.org
An estimated 100,000 people work today as commercial content moderators. These moderators are often exposed to disturbing content, which can lead to lasting psychological …
Despite the proliferation of explainable AI (XAI) methods, little is understood about end- users' explainability needs and behaviors around XAI explanations. To address this gap and …
Deplatforming refers to the permanent ban of controversial public figures with large followings on social media sites. In recent years, platforms like Facebook, Twitter and …
Despite impressive performance in many benchmark datasets, AI models can still make mistakes, especially among out-of-distribution examples. It remains an open question how …
H Mozannar, D Sontag - International conference on …, 2020 - proceedings.mlr.press
Learning algorithms are often used in conjunction with expert decision makers in practical scenarios, however this fact is largely ignored when designing these algorithms. In this …
Y Xing, C Lv, D Cao, P Hang - Transportation research part C: emerging …, 2021 - Elsevier
The last decade witnessed a great development of automated driving vehicles (ADVs) and vehicle intelligence. The significant increment of machine intelligence poses a new …
Should social media platforms override a community's self-policing when it repeatedly break rules? What actions can they consider? In light of this debate, platforms have begun …
J Seering - Proceedings of the ACM on Human-Computer …, 2020 - dl.acm.org
Research in online content moderation has a long history of exploring different forms that moderation can take, including both user-driven moderation models on community-based …
When posts are removed on a social media platform, users may or may not receive an explanation. What kinds of explanations are provided? Do those explanations matter? Using …