S. Mo Jones-Jang

According to our database, S. Mo Jones-Jang authored at least 9 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2026

I see a double-edged sword: How self-other perceptual gaps predict public attitudes toward ChatGPT regulations and literacy interventions.

Myojung Chung, Nuri Kim, S. Mo Jones-Jang, Jihyang Choi, Sangwon Lee

New Media Soc., 2026

2025

Distinct roles of distrust, cynicism and indifference: investigating how antipathy toward news media increases misinformation belief through passive news consumption.

Jihyang Choi, Sangwon Lee, S. Mo Jones-Jang, Myojung Chung, Nuri Kim

Online Inf. Rev., 2025

Fairness perceptions of AI in grading systems: Examining how discontent with the status quo and outcome favorability reduce AI reluctance.

S. Mo Jones-Jang, Myojung Chung, Jihyang Choi, Nuri Kim, Sangwon Lee

Comput. Educ. Artif. Intell., 2025

2024

Cynical Nonpartisans: The Role of Misinformation in Political Cynicism During the 2020 U.S. Presidential Election.

Sangwon Lee, S. Mo Jones-Jang

New Media Soc., 2024

Can we blame social media for polarization? Counter-evidence against filter bubble claims during the COVID-19 pandemic.

S. Mo Jones-Jang, Myojung Chung

New Media Soc., 2024

Who is using ChatGPT and why?: extending the Unified Theory of Acceptance and Use of Technology (UTAUT) model.

Sangwon Lee, S. Mo Jones-Jang, Myojung Chung, Nuri Kim, Jihyang Choi

Inf. Res., 2024

2023

Surveillance, security, and AI as technological acceptance.

Yong Jin Park, S. Mo Jones-Jang

AI Soc., December, 2023

2022

How do people react to AI failure? Automation bias, algorithmic aversion, and perceived controllability.

S. Mo Jones-Jang, Yong Jin Park

J. Comput. Mediat. Commun., November, 2022

2021

Perceptions of mis- or disinformation exposure predict political cynicism: Evidence from a two-wave survey during the 2018 US midterm elections.

S. Mo Jones-Jang, Dam Hee Kim, Kate Kenski

New Media Soc., 2021