Fairness perceptions of artificial intelligence: A review and path forward
A key insight from research on organizational justice is that fairness is in the eye of the
beholder. With increasing discussions–especially among computer scientists and …
beholder. With increasing discussions–especially among computer scientists and …
[PDF][PDF] How do people react to AI failure? Automation bias, algorithmic aversion, and perceived controllability
AI can make mistakes and cause unfavorable consequences. It is important to know how
people react to such AI-driven negative consequences and subsequently evaluate the …
people react to such AI-driven negative consequences and subsequently evaluate the …
Does distrust in humans predict greater trust in AI? Role of individual differences in user responses to content moderation
When evaluating automated systems, some users apply the “positive machine heuristic”(ie
machines are more accurate and precise than humans), whereas others apply the “negative …
machines are more accurate and precise than humans), whereas others apply the “negative …
Benefits of diverse news recommendations for democracy: A user study
News recommender systems provide a technological architecture that helps sha** public
discourse. Following a normative approach to news recommender system design, we test …
discourse. Following a normative approach to news recommender system design, we test …
Substance, discourse, and practice: A review of communication research on automation
Echoing past waves of transformation, the public sphere is awash with anxiety about
automation now driven by the rise of intelligent machines. Emerging technologies …
automation now driven by the rise of intelligent machines. Emerging technologies …
Understanding effects of algorithmic vs. community label on perceived accuracy of hyper-partisan misinformation
Hyper-partisan misinformation has become a major public concern. In order to examine
what type of misinformation label can mitigate hyper-partisan misinformation sharing on …
what type of misinformation label can mitigate hyper-partisan misinformation sharing on …
Exploring the roles of trust and social group preference on the legitimacy of algorithmic decision-making vs. human decision-making for allocating COVID-19 …
In combating the ongoing global health threat of the COVID-19 pandemic, decision-makers
have to take actions based on a multitude of relevant health data with severe potential …
have to take actions based on a multitude of relevant health data with severe potential …
Factors related to user perceptions of artificial intelligence (AI)-based content moderation on social media
S Wang - Computers in Human Behavior, 2023 - Elsevier
Artificial intelligence (AI)-based moderation systems have been increasingly used by social
media companies to identify and remove inappropriate user-generated content (eg …
media companies to identify and remove inappropriate user-generated content (eg …
Public Relations Meets Artificial Intelligence: Assessing Utilization and Outcomes
This study delves into how public relations leaders are engaging with AI, drawing on the
insights of experts with deep expertise in the field. Through interviews with 20 public …
insights of experts with deep expertise in the field. Through interviews with 20 public …
AI vs. human voices: How delivery source and narrative format influence the effectiveness of persuasion messages
AI communicators (eg, AI voice assistants) play an increasingly important role in how
individuals receive information, and, sometimes, calling for a more comprehensive …
individuals receive information, and, sometimes, calling for a more comprehensive …