S Mo Jones-Jang

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Associate professor

Boston College

United States

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About

Dr. S Mo Jones-Jang is an Associate Professor at Boston College in the United States. His research interests primarily focus on misinformation, public perceptions of artificial intelligence, and the psychological factors influencing political cynicism. Recent publications explore various aspects of AI in education, social media effects on polarization, and the dynamics of public attitudes toward emerging technologies like ChatGPT.

Recent Grants

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Evolution in digital discourse: Toward a computational tool for identifying patterns of language change in social media

Open Date: 2018-08-01

Close Date: 2020-02-01

Articles (18)

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Collaborators (9)

Nuri Kim

Nanyang Technological University (NTU)

SINGAPORE

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Kate Kenski

Professor

University of Arizona

UNITED STATES

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Won-Ki Moon

University of Florida

UNITED STATES

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Jihyang Choi

Ewha Womans University

SOUTH KOREA

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Sungeun Chung

Sungkyunkwan University

SOUTH KOREA

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Yu Won Oh

Assistant Professor

Myongji University

SOUTH KOREA

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Sangwon Lee

University of New Mexico

UNITED STATES

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Trevor Diehl

Central Michigan University

UNITED STATES

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Myojung Chung

Assistant Professor

Northeastern University

UNITED STATES

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S Mo Jones-Jang

Research Interests

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About

Recent Grants

Articles (18)

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

The Irony of Sophisticated Citizens and Misinformation: Explaining How People with High Need for Cognition Become Politically Cynical

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

Why Do People Underestimate Polling Effects? Examining the Gap Between Actual and Perceived Polling Effects

Public perceptions of ChatGPT: Exploring how nonexperts evaluate its risks and benefits.

Measuring Enlarged Mentality: Development and Validation of the Enlarged Mentality Scale

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

AI as an Apolitical Referee: Using Alternative Sources to Decrease Partisan Biases in the Processing of Fact-Checking Messages

How Can We Fight Partisan Biases in the COVID-19 Pandemic? AI Source Labels on Fact-checking Messages Reduce Motivated Reasoning

The intentions of information sources can affect what information people think qualifies as true

Examining the Role of Distrust in Science and Social Media Use: Effects on Susceptibility to COVID Misperceptions with Panel Data

Red Media, Blue Media, Trump Briefings, and COVID-19: Examining How Information Sources Predict Risk Preventive Behaviors via Threat and Efficacy

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

Candidate Evaluations and Social Media Following during the 2020 Presidential Campaign

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

Digital assistants: Inequalities and social context of access, use, and perceptual understanding

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

The Politicization of Health and Science: Role of Political Cues in Shaping the Beliefs of the Vaccine-Autism Link

Collaborators (9)

Nuri Kim

Kate Kenski

Won-Ki Moon

Jihyang Choi

Sungeun Chung

Yu Won Oh

Sangwon Lee

Trevor Diehl

Myojung Chung

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