Fanjue Liu
Biographic Data
| ID | 4448881 |
|---|---|
| NAME | Fanjue Liu |
| GIVEN NAMES | Fanjue |
| FAMILY NAME | Liu |
| SIGNATURE | LIU F |
| AFFILIATIONS | University of Florida |
| ORCID | 0000-0001-5007-900X |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Expanding integrated storytelling networks
While scholarship increasingly examines the societal implications of artificial intelligence, less is known about how AI-generated news integrates into local communication ecologies and shapes civic engagement. Drawing on Communication Infrastructure Theory (CIT), this study investigates how individuals’ integrated connectedness to a storytelling network (ICSN) interacts with AI news consumption and active mobile app usage to influence four dimen…
From virtual voices to real impact
What did you hear and what did you see? Understanding the transparency of facial recognition and speech recognition systems during human–robot interaction
As social robots begin to assume various social roles in society, the demand for understanding how social robots work and communicate grows rapidly. While literature on explainable artificial intelligence suggests that transparency about a social robot’s working mechanism can evoke users’ positive attitudes, transparency may also have negative outcomes. This study investigates the paradoxical effects of the transparency of facial recognition tech…
The Media Are Social Actors paradigm and beyond
The computers are social actors paradigm was proposed about three decades ago. Recently, scholars have attempted to extend this classic theoretical framework to further enhance its explanatory and predictive power. As one of the attempts, the media are social actors (MASA) paradigm was proposed to indicate the different power of social cues in evoking users’ medium-as-social-actor presence and social responses to a range of emerging technologies,…
When citizens support AI policies
This research revisits the communication mediation model to understand when citizens support AI policies. Using data from a national online survey (N = 1252), our research delineates the mechanism by which AI-related news consumption enhances AI literacy through AI-related discussions, subsequently fostering enhanced support for AI policies and regulations. In this process, AI efficacy emerges as a critical boundary condition. Specifically, the r…
Using Machine Learning to Learn Machines
Drawing from prior literature on machine-generated news, this study examines machine-generated artworks in a cross-cultural context. It combines machine learning approaches with online experiments and investigates how different genres of artworks and different authorship cues influence participants’ open-ended responses to machine-generated works. Results suggest that while genres and cultures affected participants’ discussion topics and word use…
What did you hear and what did you see? Understanding the transparency of facial recognition and speech recognition systems during human–robot interaction
As social robots begin to assume various social roles in society, the demand for understanding how social robots work and communicate grows rapidly. While literature on explainable artificial intelligence suggests that transparency about a social robot’s working mechanism can evoke users’ positive attitudes, transparency may also have negative outcomes. This study investigates the paradoxical effects of the transparency of facial recognition tech…
Using Machine Learning to Learn Machines
Drawing from prior literature on machine-generated news, this study examines machine-generated artworks in a cross-cultural context. It combines machine learning approaches with online experiments and investigates how different genres of artworks and different authorship cues influence participants’ open-ended responses to machine-generated works. Results suggest that while genres and cultures affected participants’ discussion topics and word use…
The Media Are Social Actors paradigm and beyond
The computers are social actors paradigm was proposed about three decades ago. Recently, scholars have attempted to extend this classic theoretical framework to further enhance its explanatory and predictive power. As one of the attempts, the media are social actors (MASA) paradigm was proposed to indicate the different power of social cues in evoking users’ medium-as-social-actor presence and social responses to a range of emerging technologies,…
When citizens support AI policies
This research revisits the communication mediation model to understand when citizens support AI policies. Using data from a national online survey (N = 1252), our research delineates the mechanism by which AI-related news consumption enhances AI literacy through AI-related discussions, subsequently fostering enhanced support for AI policies and regulations. In this process, AI efficacy emerges as a critical boundary condition. Specifically, the r…
From virtual voices to real impact
What did you hear and what did you see? Understanding the transparency of facial recognition and speech recognition systems during human–robot interaction
As social robots begin to assume various social roles in society, the demand for understanding how social robots work and communicate grows rapidly. While literature on explainable artificial intelligence suggests that transparency about a social robot’s working mechanism can evoke users’ positive attitudes, transparency may also have negative outcomes. This study investigates the paradoxical effects of the transparency of facial recognition tech…
Expanding integrated storytelling networks
While scholarship increasingly examines the societal implications of artificial intelligence, less is known about how AI-generated news integrates into local communication ecologies and shapes civic engagement. Drawing on Communication Infrastructure Theory (CIT), this study investigates how individuals’ integrated connectedness to a storytelling network (ICSN) interacts with AI news consumption and active mobile app usage to influence four dimen…
Psychology (4 works) · Computer Science (3 works) · Misinformation and Its Impacts (3 works) · Sociology (3 works) · AI in Service Interactions (2 works) · Artificial Intelligence (2 works) · Ethics and Social Impacts of AI (2 works) · Explanatory power (2 works) · Media Influence and Health (2 works) · Social media (2 works)