Automating Truth & Accountability? Public Attitudes Toward AI And Human-Machine Communication In Singapore

Project Description

This research project examines Singaporeans’ attitudes, perceptions, and expectations of AI in Singapore, with a focus on AI-fact-checking. This project will also look at how information about AI is being communicated to the public, and how to improve communication about AI to increase acceptance.  This project also examines how the Singapore public responds to errors by AI, and how to best manage such AI errors.

Research Technical Area

  • Human-Machine Communication
  • Fact-Checking
  • Media Framing
  • Computers as Social Actors Framework
  • Value-Based Adoption Model
  • Expectation-Violation Theory

Benefits to the society

This project will provide relevant authorities, organisations and corporations insights into the public’s sentiments and attitudes toward AI, the concerns and expectations people have of new AI-powered communication, and people’s acceptance of AI. The project will also further our understanding of how to communicate information about AI and AI errors to stakeholders and the public. As Singapore increasingly adopts AI in people’s everyday lives, this research will allow Singapore to navigate the new frontiers of AI by understanding how to increase Singapore’s AI preparedness and resilience.

Project’s Publications

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Team’s Principal Investigator

Edson C. TANDOR JR.
Wee Kim Wee School of Communication and Information
Nanyang Technological University, Singapore

Link to profile

Edson C. Tandoc Jr. is an Associate Professor and Associate Chair for Research at the Wee Kim Wee School of Communication and Information and Director of the Centre for Information Integrity and the Internet at Nanyang Technological University. He is also an Associate Editor of Digital Journalism and Associate Editor of Human Communication Research. His research focuses on the sociology of message construction in the context of digital journalism, critical incidents in journalism, and the information behaviours of audiences, with a focus on news, fake news, social media, and fact-checking.

Recent Notable Awards

  • Nanyang Research Award (Young Investigator), NTU, 2021
  • Krieghbaum Under 40 (Outstanding Early Career Scholar Award), Association for Education in Journalism and Mass Communication (AEJMC), 2020

The Team

Collaborators

Jeffrey T. HANCOCK, Stanford University
Research Focus: Psychology of social media; deception and trust; computer-mediated communication; AI-mediated communication; mental models of AI

Eun-Ju LEE, Seoul National University
Research Focus: Human-computer interaction; Computer-mediated communication; AI and human communication

Folker HANUSCH, University of Vienna
Research Focus: Digital journalism; journalistic roles; journalism and everyday life