Skip to main navigation Skip to search Skip to main content

Human vs. Artificial Newscasters: Divergent Effects on Viewer Attention and Emotional Processing

Research output: Contribution to journal › Article › peer-review

Abstract

Artificial newscasters are increasingly replacing human anchors in broadcast media, yet their effects on viewers’ attention and emotional processing remain poorly understood. Using a controlled experiment with secondary task reaction time (STRT) and affective evaluations, this study revealed a dynamic attentional shift: Relative to the human newscaster, the artificial newscaster sustained greater attention to news watching after an initial diverting away from it. In addition, they blunted emotional reactions to unpleasant news, while ratings for neutral news and arousal remained unaffected. This dissociation, where artificial agents sustained attention but dampened emotional experience, advances the Computers Are Social Actors (CASA) paradigm by demonstrating boundary conditions for the Media Equation hypothesis. Practical and ethical implications are discussed, including tradeoffs between engagement and emotional resonance.

Original languageEnglish (US)
Pages (from-to)9526-9545
Number of pages20
JournalInternational Journal of Human-Computer Interaction
Volume42
Issue number12
Early online dateNov 11 2025
DOIs
StatePublished - 2026

Keywords

  • AI newscasters
  • Artificial newscasters
  • automated journalism
  • human–computer interaction
  • information processing

ASJC Scopus subject areas

  • Human Factors and Ergonomics
  • Human-Computer Interaction
  • Computer Science Applications

Fingerprint

Dive into the research topics of 'Human vs. Artificial Newscasters: Divergent Effects on Viewer Attention and Emotional Processing'. Together they form a unique fingerprint.

Cite this