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20112023
most citedComparing and Combining Sentiment Analysis Methods

376 citations · 1.2k across the 40 of their papers we have counts for

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11 papers · 1 filter

cs.CY2023★ 2 cited

A Comparative Study of Reference Reliability in Multiple Language Editions of Wikipedia

Aitolkyn Baigutanova, Diego Saez-Trumper, Miriam Redi +2

Information presented in Wikipedia articles must be attributable to reliable published sources in the form of references. This study examines over 5 million Wikipedia articles to a…

cs.CY2023★ 29 cited

Blaming Humans and Machines: What Shapes People's Reactions to Algorithmic Harm

Gabriel Lima, Nina Grgić-Hlača, Meeyoung Cha

Artificial intelligence (AI) systems can cause harm to people. This research examines how individuals react to such harm through the lens of blame. Building upon research suggestin…

cs.CY2022★ 53 cited

The Conflict Between Explainable and Accountable Decision-Making Algorithms

Gabriel Lima, Nina Grgić-Hlača, Jin Keun Jeong +1

Decision-making algorithms are being used in important decisions, such as who should be enrolled in health care programs and be hired. Even though these systems are currently deplo…

cs.CY2022★ 1 cited

Learning Economic Indicators by Aggregating Multi-Level Geospatial Information

Sungwon Park, Sungwon Han, Donghyun Ahn +8

High-resolution daytime satellite imagery has become a promising source to study economic activities. These images display detailed terrain over large areas and allow zooming into…

cs.CY2021★ 72 cited

Human Perceptions on Moral Responsibility of AI: A Case Study in AI-Assisted Bail Decision-Making

Gabriel Lima, Nina Grgić-Hlača, Meeyoung Cha

How to attribute responsibility for autonomous artificial intelligence (AI) systems' actions has been widely debated across the humanities and social science disciplines. This work…

cs.CY2021★ 2 cited

Descriptive AI Ethics: Collecting and Understanding the Public Opinion

Gabriel Lima, Meeyoung Cha

There is a growing need for data-driven research efforts on how the public perceives the ethical, moral, and legal issues of autonomous AI systems. The current debate on the respon…

cs.CY2020★ 46 cited

Collecting the Public Perception of AI and Robot Rights

Gabriel Lima, Changyeon Kim, Seungho Ryu +2

Whether to give rights to artificial intelligence (AI) and robots has been a sensitive topic since the European Parliament proposed advanced robots could be granted "electronic per…

cs.CY2020

COVID-19 Vaccine Acceptance in the US and UK in the Early Phase of the Pandemic: AI-Generated Vaccines Hesitancy for Minors, and the Role of Governments

Gabriel Lima, Meeyoung Cha, Chiyoung Cha +1

This study presents survey results of the public's willingness to get vaccinated against COVID-19 during an early phase of the pandemic and examines factors that could influence va…

cs.CY2020★ 7 cited

Responsible AI and Its Stakeholders

Gabriel Lima, Meeyoung Cha

Responsible Artificial Intelligence (AI) proposes a framework that holds all stakeholders involved in the development of AI to be responsible for their systems. It, however, fails…

cs.CY2020★ 25 cited

The Conflict Between People's Urge to Punish AI and Legal Systems

Gabriel Lima, Meeyoung Cha, Chihyung Jeon +1

Regulating artificial intelligence (AI) has become necessary in light of its deployment in high-risk scenarios. This paper explores the proposal to extend legal personhood to AI an…

cs.CY2015

Mining the Minds of Customers from Online Chat Logs

Kunwoo Park, Jaewoo Kim, Jaram Park +4

This study investigates factors that may determine satisfaction in customer service operations. We utilized more than 170,000 online chat sessions between customers and agents to i…