Ai automated editorial system

Description

Ai automated editorial system
Overview of the System:To automate the process of identifying key news stories and economic events, then finding relevant academic experts for interviews, we need a structured workflow with three core components:
1. News Feed Monitoring & Story ExtractionObjective:Scrape or fetch top stories daily from major news sources (BBC, FT, NYT).Identify the most relevant 10 stories for academic discussions.Extract key details (headline, summary, category, and related experts).Process:News Scraping & API Integration:Use RSS feeds or news APIs (BBC News API, NYT API, FT API) to pull daily stories.https://www.bbc.co.uk/news/10628494https://developer.nytimes.com/apisApply NLP (Named Entity Recognition, NER) to extract topics, locations, and institutions
Story Selection & Categorization:Use an LLM or rule-based filtering to:Select 10 most relevant stories daily.Categorize them (Politics, Science, Economics, Law, etc.).

Finding Relevant Academics:Search Semantic Scholar, OpenAlex, ArXiv, CORE, or university directories /our own databases for 5 academic experts per story.Prioritize experts based on:Their recent papers on similar topics.GET THEIR emails.
Output & Storage:Generate a structured daily report (JSON) with:Story headlines & summaries.Academic expert details (Name, Affiliation, Contact, Paper Links).5. Send automated email drafts to invite experts DAILY.
2. Economic Calendar Event MonitoringObjective:Track major global economic events (UK, EU, US, Asia).Extract upcoming financial events (e.g., interest rate decisions, GDP releases).Find experts to analyze these events.Process:Data Sources & Event Monitoring:Integrate economic calendar APIs (ForexFactory, Investing.com, TradingEconomics, FRED).Fetch major scheduled events:Monetary policy meetings (Fed, ECB, BoE, BoJ, PBoC).GDP, inflation, employment reports.Market-moving events (OPEC meetings, IMF/World Bank reports).Event Categorization & Prioritization:Use event scoring based on:Global impact.Historical volatility caused by similar events.News coverage sentiment.Finding Academic Experts:Identify economists, financial analysts, and policy researchers via:University economics departments.Central bank research papers.Financial market analysis reports.Output & Storage:Generate a daily/weekly report with:Event summary.Impact analysis.5 expert contacts for interviews.Automate email drafts for outreach.
3. Automation & Execution PlanTechnology StackData Collection: RSS Feeds, APIs (News & Economic Calendar).Processing: Python (Pandas, NLP, Scraping).Storage: Google Sheets / Database.Expert Search: OpenAlex, Semantic Scholar, University Directories.Email Automation: Google Workspace API (Gmail), Mail Merge.Scaling & RefinementPhase 1: Automate daily reports (news + economic events) and manually review expert selection.Phase 2: Automate expert filtering with relevance scoring.Phase 3: Fully automate outreach emails with AI-generated pitch drafts.