News & Media Intelligence

Search policy news across 40+ outlets with entity-linked coverage, detect media surges, analyze narrative framing, and track attention trends over time.

News & Media Intelligence

See the summary view → for a quick overview of all News & Media Intelligence capabilities.

4 capabilities covering policy news search, media surge detection, narrative analysis, and longitudinal attention tracking. Apogee ingests policy news from 40+ outlets, extracts entity mentions (members, bills, organizations, agencies), and indexes articles for both keyword and semantic search.

Search policy news across 40+ outlets including Politico, The Hill, Reuters, Bloomberg, AP, Axios, Punchbowl, Roll Call, Defense One, CQ Roll Call, and specialized policy publications. Apogee automatically selects the best search strategy based on your question: semantic search for topical queries ("AI regulation coverage"), time-ordered retrieval for recency queries ("latest news on the Farm Bill"), and entity-linked search for people and organization queries ("news mentioning Senator Warren and the banking industry").

Every article is processed through entity extraction, linking mentions of members of Congress, federal agencies, bills, organizations, and policy topics to the knowledge graph. This means you can search not just by keyword but by entity relationship - "find articles that mention both the FTC and a specific technology company" - something keyword search alone can't reliably do.

Results include article title, source, publication date, summary, and linked entities. A daily briefing capability surfaces the most important policy stories each day across all tracked sources.

Data: 36,000+ articles from 50+ policy news sources, with new articles ingested via RSS feeds multiple times daily. Entity extraction links articles to knowledge graph entities.


Media Surge Detection

Temporal spike detection that identifies when a member, bill, organization, or policy topic is generating significantly more media coverage than its historical baseline. A surge ratio compares recent mention counts against the rolling average - a ratio above 2.0 means the entity is getting double its normal coverage, which often signals a breaking development, controversy, or legislative milestone.

This is an early warning system for policy professionals. A sudden spike in media mentions of a specific bill, agency, or member often precedes legislative action, regulatory announcements, or political developments that affect your portfolio. Detecting the surge early gives you time to prepare a response rather than react after the fact.

How it works: Time-series analysis on entity mention counts. The current window (configurable, default 7 days) is compared against a baseline window (default 30 days prior). The surge ratio quantifies how far above normal the current coverage is.

Data: Entity mention counts derived from the news article corpus, computed in real-time against the knowledge graph's entity-article relationships.


Narrative Framing Analysis (Planned)

Compare how different sources - news outlets, advocacy organizations, industry groups, and congressional offices - frame the same policy issue. Press release enrichment already extracts framing language, rhetorical positioning, and policy characterizations. This capability will expose that analysis through a dedicated tool and extend it to news articles.

Understanding narrative framing is critical for communications strategy. The same policy proposal may be characterized as "job-killing regulation" by one group and "consumer protection" by another. Tracking these frames across sources reveals the messaging landscape and helps you craft more effective communications.

How it works: AI-powered extraction of framing language, rhetorical devices, and characterizations from press releases and news articles. Cross-source comparison highlights how the same topic is positioned differently by different actors.

Data: Press release framing extraction already exists for congressional press releases. News article framing extraction is in development.


Attention Trend Analysis

Longitudinal tracking of media attention across topics and entities over weeks, months, and congressional sessions. While media surge detection identifies short-term spikes, attention trend analysis reveals the longer arc - is AI regulation getting sustained, growing attention or was it a one-week story? Is immigration coverage cyclical? How does the current debt ceiling attention compare to previous cycles?

This capability produces time-series data showing mention counts over time for any entity or topic, with per-source breakdowns (news, press releases, hearings, lobbying). Essential for policy strategists assessing whether an issue has enough sustained attention to drive legislative action, or whether media interest is fading.

How it works: Time-series aggregation of entity mentions across news articles, press releases, hearings, and lobbying filings. Returns per-source counts in configurable time buckets (day, week, or month) with summary statistics including total mentions, peak period, trend direction, and percent change.

Data: Time-stamped entity mention data across all tracked sources - 40+ news outlets, congressional press releases, GPO hearing transcripts, and SOPR lobbying filings.



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