Bumju Jung
Biographic Data
| ID | 8970339 |
|---|---|
| NAME | Bumju Jung |
| GIVEN NAMES | Bumju |
| FAMILY NAME | Jung |
| SIGNATURE | JUNG B |
| AFFILIATIONS | University of Southern California |
| ORCID | 0009-0004-2779-950X |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Normalizing AI
This study examines how people evaluate factual claims attributed to human journalists versus artificial intelligence (AI) news bots, and how these evaluations are shaped by individual endorsement of the machine heuristic. An online experiment (N = 233) used a 2 (Agent: human vs. AI) × 2 (Information Veracity: accurate vs. inaccurate) design in which participants viewed a short tweet embedded in either a human or AI profile and then rated percept…
Revisiting Identity Cues and Helpfulness Heuristics in Online Learning
Previous research has consistently demonstrated that offering help in online communication is beneficial, regardless of the helper’s identity. However, studies in the context of online learning, specifically within learning management systems (LMS) discussion boards, highlight the need to reevaluate the impact of identity on helpfulness. The current study aims to replicate earlier findings with a more rigorous examination of the variables and man…
No prominent works on this page.
Revisiting Identity Cues and Helpfulness Heuristics in Online Learning
Previous research has consistently demonstrated that offering help in online communication is beneficial, regardless of the helper’s identity. However, studies in the context of online learning, specifically within learning management systems (LMS) discussion boards, highlight the need to reevaluate the impact of identity on helpfulness. The current study aims to replicate earlier findings with a more rigorous examination of the variables and man…
Normalizing AI
This study examines how people evaluate factual claims attributed to human journalists versus artificial intelligence (AI) news bots, and how these evaluations are shaped by individual endorsement of the machine heuristic. An online experiment (N = 233) used a 2 (Agent: human vs. AI) × 2 (Information Veracity: accurate vs. inaccurate) design in which participants viewed a short tweet embedded in either a human or AI profile and then rated percept…
Perception (2 works) · AI in Service Interactions (1 work) · Communication in Education and Healthcare (1 work) · Elaboration likelihood model (1 work) · Ethics and Social Impacts of AI (1 work) · Helpfulness (1 work) · Heuristic (1 work) · Heuristics (1 work) · Human intelligence (1 work) · Human–machine system (1 work)