Oct 2026· Interaction Sociology of Communication Journal
Media Studies and Communication
Abstract
The penetration of artificial intelligence (AI) into Vietnamese newsrooms shifts the question from what AI can do to who has the authority to govern its use in journalism. International research has largely examined newsroom-level self-regulation in Western systems, while overlooking systems in which the state plays a central role. Drawing on a content analysis of 111 Vietnamese-language news articles published from January 2023 to July 2026 and a seven-group coding scheme, the article identifies the warrants invoked, the voices authorized to speak, and the normative force with which norms are stated. Unwritten professional ethics and unsourced claims predominate over law, the authority to speak is concentrated in an anonymous voice, and norms are largely framed as recommendations. The article proposes a three-dimensional model of normative authority, separating warrant, authorized voice, and normative force as independently measurable dimensions. It extends professional boundary-work theory to a non-Western setting in which self-regulation and law divide roles rather than exclude one another.
This paper investigates developing real-world perception for active agents, proposes Gibson Environment for this purpose, and showcases a set of perceptual tasks learned therein.
F. Xia, Amir Zamir, Zhi-Yang He et al.· 2018 IEEE/CVF Conference on...· 1,069 citations· ⚡112
GAOKAO-Bench is introduced, an intuitive benchmark that employs questions from the Chinese GAOKAO examination as test samples, including both subjective and objective questions that contribute a robust evaluation benchmark for future large language models and offers valuable insights into the advantages and limitations...
Xiaotian Zhang, Chun-yan Li, Yi Zong et al.· arXiv.org· 216 citations· ⚡17
An algorithm is proposed which leverages disentangled semantic factors to generate adversarial perturbation by altering controlled semantic attributes to fool the learner towards various "adversarial" targets.
Haonan Qiu, Chaowei Xiao, Lei Yang et al.· arXiv.org· 208 citations· ⚡17
This work proposes a HALO that directly maximizes the utility of generations instead of maximizing the log-likelihood of preferences, and suggests that the best loss depends on the inductive biases most appropriate for a given setting, an oft-overlooked consideration.
This work investigates the possibilities of using LLMs in a resume screening setting via a document retrieval framework that simulates job candidate selection and finds that the MTEs are biased, significantly favoring White-associated names in 85% of cases and female-associated names in only 11.1% of cases.
This work shows that orders of magnitude enhancement in performance could be obtained by a combination of hardware improvements and tight quantum-HPC integration and introduces high-performance architectures for quantum-probabilistic computing with custom-designed accelerators to tackle today's industry-scale classical...
Masoud Mohseni, Artur Scherer, K. Johnson et al.· arXiv.org· 121 citations· ⚡9
