Sijia Yang

Can Algorithms Efficiently Identify Interpretable and Persuasive Message Features? An Agnostic Causal Machine Learning Approach

Sijia Yang, Luhang Sun, Ran Tao, Yoo Ji Suh et autres

Argument strength and message persuasiveness are key constructs in message effects research. Yet, researchers still lack a systematic and efficient approach to uncover the “recipe” for these message-level latent features. We applied an agnostic causal machine learning approach that integrates the supervised …

us, sg (code pays fourni par la source)

Identifying Persuasive Visual Features within Tobacco Pictorial Warnings: Effects on Anticipated Loss of Face, Gifting, and Refrain Intentions Among Chinese Men Who Smoke

T Zhang, Ran Tao, Yidi Wang, Jiaying Liu et autres

Pictorial warnings (PWs) have proven effective as a tobacco control strategy, particularly when implemented as warning labels on cigarette packages. However, China’s adoption of PWs on cigarette packages has been delayed, and it remains unclear which thematic categories and specific visual features …

us, cn (code pays fourni par la source)

Foodie traps within facebook cannabis promotional posts: Deploying multimodal deep learning AIs to monitor audience engagement

Linqi Lu, Xianshi Yu, Zhuoyan Xu, Hyerin Kwon et autres

us, au (code pays fourni par la source)

A Fine-Tuned Multimodal AI Chatbot for Dietary Health and Nutrition, Purrfessor: Development and Mixed Methods Evaluation

Linqi Lu, Yifan Deng, Chuan Tian, Sijia Yang et autres

Background: The integration of Large Language and Vision Assistant models with food and nutrition data enables multimodal meal analysis and contextual dietary guidance. Despite this potential, the reliability and practical usefulness of such systems for supporting everyday dietary decision-making remain underexplored. Objective: …

us (code pays fourni par la source)

To quit or not to quit Twitter? The interplay of identities, perceptions, and behavioral reactions to changing platform ownership

Macau K. F. Mak, Zening Duan, Sijia Yang, Michael W. Wagner

Elon Musk’s acquisition of Twitter (now ‘X’) raised concerns about its governance and functioning. Using this as a case study, we propose a framework to analyze the interplay of social identities, perceptions, attitudes, and behavioral responses to major platform policy and ownership …

hk, us (code pays fourni par la source)

Data Visualization or Visual Exemplars? Testing the Differential Effects of AI-Generated Visual Correction Enhancements

Yibing Sun, Liwei Shen, Jae-Chul Choi, Porismita Borah et autres

This study investigates the efficacy of AI-generated visuals and potential credibility cues in correcting health-related misinformation. Using a pre-registered, factorial experiment ( N = 1,751), we tested two AI-generated visual enhancements (visual exemplars, infographics) and two credibility boosters (source tagging, partisan neutrality …

us (code pays fourni par la source)

Latent Profile Analysis of Occupational Stress and Psychological Capital and the Dual Mechanisms of Psychological Capital in Healthcare Workers’ Sleep Quality

Sijia Yang, Boya Zhang, Chen Jian, Jiahui Li et autres

Background: Sleep disorders are highly prevalent among healthcare workers (HCWs) globally, with occupational stress (OS) being a major underlying cause. Psychological capital (PsyCap) may serve as a protective resource, yet its combined relationship with OS and sleep quality remains underexplored. Objectives: We …

cn (code pays fourni par la source)

Retraction Note: Financial Fragility in Emerging Markets: Examining the Innovative Applications of Machine Learning Design Methods

Xiyan Sun, Yuan Pei, Fengge Yao, Zenan Qin et autres

cn (code pays fourni par la source)

Care-Based Moral Appeals in Pictorial Tobacco Control Messages

Thomas Hongjie Zhang, Xiaohui Cao, Yidi Wang, Jiaying Liu et autres

Abstract: The care/harm moral foundation is a key antecedent of health behavior change, and care-based moral appeals, persuasive messages that integrate the care/harm foundation with specific health behaviors, have demonstrated effectiveness in health promotion campaigns. However, the role of care-based moral appeals …

us, cn (code pays fourni par la source)

Improving Service Information Inclusiveness in Emergency Preparedness and Response: A Case of Public Service Design in Commercial Large-Scale Mass Cultural Events

Yue Yu, Sijia Yang, Wanqiang Li, Fei Hu

Attention to the differentiated capabilities, needs, and expectations of vulnerable groups is an important research focus for inclusive service design. In a context where the increasing complexity of urban sites and industry chains has increased the potential risk of disasters, enhancing public …

cn (code pays fourni par la source)

Cannabis warning labels, sensory marketing, and electronic word-of-mouth: AI-facilitated textual analysis of a randomized experiment among youth and young adults

Linqi Lu, Hyerin Kwon, Wei Wang, Lynne M Cotter et autres

Online marketing of recreational cannabis products, particularly edibles, increasingly employs sensory appeals to attract adolescents and young adults (AYAs). Requiring cannabis warning labels (CWLs) on social media marketing posts is a potentially cost-effective intervention to improve health education and influence online word-of-mouth, …

us (code pays fourni par la source)

Occupational Stress, Burnout, and Fatigue Among Healthcare Workers in Shanghai, China: A Questionnaire-Based Cross-Sectional Survey

Qiaochu Wang, Jiayun Ding, Yiming Dai, Sijia Yang et autres

Background: Occupational burnout and fatigue are critical issues affecting the health and performance of healthcare workers (HCWs) globally. These outcomes are often driven by complex and overlapping work-related stressors, which remain insufficiently understood in combination. Objective: To investigate the associations of multiple …

cn (code pays fourni par la source)