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Featured Coverage Timeline Developing · Updates automatically All timelines

US–Iran confrontation

Iran

How coverage of the US–Iran confrontation moved from nuclear talks and strike threats to open war, a fragile ceasefire, a blockade and a long stalemate.

Articles
440
Publishers
62
Chapters
7

From the data Counts from archived articles, as of Nov 4.

Open the timeline
Week of Feb 16: 10 articles Week of Feb 23: 27 articles Week of Mar 2: 33 articles Week of Mar 9: 39 articles Week of Mar 16: 30 articles Week of Mar 23: 27 articles Week of Mar 30: 18 articles Week of Apr 6: 34 articles Week of Apr 13: 27 articles Week of Apr 20: 10 articles Week of Apr 27: 18 articles Week of May 4: 13 articles Week of May 11: 20 articles Week of May 18: 15 articles Week of May 25: 10 articles Week of Jun 1: 13 articles Week of Jun 8: 8 articles Week of Jun 15: 23 articles Week of Jun 22: 2 articles Week of Jun 29: 1 article Week of Jul 6: 1 article Week of Jul 13: 1 article Week of Jul 20: 9 articles Week of Jul 27: 6 articles Week of Aug 3: 2 articles Week of Aug 10: 5 articles Week of Aug 17: 3 articles Week of Aug 24: 3 articles Week of Aug 31: 2 articles Week of Sep 7: 4 articles Week of Sep 14: 4 articles Week of Sep 21: 3 articles Week of Sep 28: 3 articles Week of Oct 5: 7 articles Week of Oct 12: 4 articles Week of Oct 19: 2 articles Week of Oct 26: 3 articles
  1. 1 Talks, a deadline and strike options Feb 16 – Feb 27 · 19 articles
  2. 2 The strikes begin Feb 28 – Mar 9 · 60 articles
  3. 3 A widening war and the ground-troops question Mar 10 – Apr 6 · 110 articles
  4. 4 Ceasefire and uncertain talks Apr 7 – Apr 12 · 29 articles
  5. 5 Blockade and deadlock Apr 13 – May 31 · 113 articles
  6. 6 Exchanges of fire, uranium and an off-ramp Jun 1 – Jul 31 · 63 articles
  7. 7 Expiring understanding and renewed strikes Aug 1 – Sep 30 · 30 articles
  8. Latest coverage Awaiting editorial review · 16 articles
News Intelligence Last 24 hours · updated From the data

The 24-Hour Signal Map

What the news cycle is clustering around, ranked by how many of the 117 analysed articles mention each signal.

People & Orgs

Named most often in the last 24 hours · 265 tracked

  1. AI8 articles

    People & Orgs · No. 1

    AI

    8 articles in the last 24 hours · busiest about 8 hours ago

    24h agoArticles per hourNow

    Tone, 8 scored: 0 negative 8 neutral 0 positive

  2. Donald Trump7 articles

    People & Orgs · No. 2

    Donald Trump

    7 articles in the last 24 hours · busiest about 3 hours ago

    24h agoArticles per hourNow

    Tone, 7 scored: 0 negative 7 neutral 0 positive

    Lead story

    Trump reacts to Republican losses and declines to take blame

    By the time the House and Senate had been called for Democrats on Tuesday, a consensus among members of both parties was forming: voters had rejected President Donald Trump’s record in office, and he would face a starkly different political reality for the remainder of his term.

    cnn.comNov 4, 2026Neutral tone
    Deep dive
    #Trump#RepublicansPolitical TheatreGovernment

    Emotions in this article: Ahah 36% · Wow 36%

  3. Senate6 articles

    People & Orgs · No. 3

    Senate

    6 articles in the last 24 hours · busiest about 3 hours ago

    24h agoArticles per hourNow

    Tone, 6 scored: 0 negative 6 neutral 0 positive

  4. NBC6 articles

    People & Orgs · No. 4

    NBC

    6 articles in the last 24 hours · busiest about 23 hours ago

    24h agoArticles per hourNow

    Tone, 6 scored: 0 negative 6 neutral 0 positive

  5. House5 articles

    People & Orgs · No. 5

    House

    5 articles in the last 24 hours · busiest about 2 hours ago

    24h agoArticles per hourNow

    Tone, 5 scored: 0 negative 5 neutral 0 positive

  6. Elon Musk2 articles

    People & Orgs · No. 6

    Elon Musk

    2 articles in the last 24 hours · busiest about 1 hour ago

    24h agoArticles per hourNow

    Tone, 2 scored: 0 negative 2 neutral 0 positive

Places

Locations the coverage keeps returning to · 88 tracked

  1. U.S.10 articles

    Places · No. 1

    U.S.

    10 articles in the last 24 hours · busiest about 5 hours ago

    24h agoArticles per hourNow

    Tone, 10 scored: 0 negative 10 neutral 0 positive

    Lead story

    Trump reacts to Republican losses and declines to take blame

    By the time the House and Senate had been called for Democrats on Tuesday, a consensus among members of both parties was forming: voters had rejected President Donald Trump’s record in office, and he would face a starkly different political reality for the remainder of his term.

    cnn.comNov 4, 2026Neutral tone
    Deep dive
    #Trump#RepublicansPolitical TheatreGovernment

    Emotions in this article: Ahah 36% · Wow 36%

  2. Texas7 articles

    Places · No. 2

    Texas

    7 articles in the last 24 hours · busiest about 1 hour ago

    24h agoArticles per hourNow

    Tone, 7 scored: 1 negative 6 neutral 0 positive

  3. Ohio4 articles

    Places · No. 3

    Ohio

    4 articles in the last 24 hours · busiest about 1 hour ago

    24h agoArticles per hourNow

    Tone, 4 scored: 0 negative 4 neutral 0 positive

  4. Georgia3 articles

    Places · No. 4

    Georgia

    3 articles in the last 24 hours · busiest about 3 hours ago

    24h agoArticles per hourNow

    Tone, 3 scored: 0 negative 3 neutral 0 positive

Narrative frames

Recurring themes in how stories are framed · 10 tracked

  1. Government45 articles

    Narrative frames · No. 1

    Government

    45 articles in the last 24 hours · busiest about 4 hours ago

    24h agoArticles per hourNow

    Tone, 45 scored: 3 negative 40 neutral 2 positive

    Lead story

    Trump reacts to Republican losses and declines to take blame

    By the time the House and Senate had been called for Democrats on Tuesday, a consensus among members of both parties was forming: voters had rejected President Donald Trump’s record in office, and he would face a starkly different political reality for the remainder of his term.

    cnn.comNov 4, 2026Neutral tone
    Deep dive
    #Trump#RepublicansPolitical TheatreGovernment

    Emotions in this article: Ahah 36% · Wow 36%

  2. Business, Companies32 articles

    Narrative frames · No. 2

    Business, Companies

    32 articles in the last 24 hours · busiest about 23 hours ago

    24h agoArticles per hourNow

    Tone, 32 scored: 0 negative 28 neutral 4 positive

  3. Technology13 articles

    Narrative frames · No. 3

    Technology

    13 articles in the last 24 hours · busiest about 8 hours ago

    24h agoArticles per hourNow

    Tone, 13 scored: 0 negative 13 neutral 0 positive

    Tagged in the same articles (co-occurrence, not cause)

  4. Environment, Climate13 articles

    Narrative frames · No. 4

    Environment, Climate

    13 articles in the last 24 hours · busiest about 16 hours ago

    24h agoArticles per hourNow

    Tone, 13 scored: 1 negative 11 neutral 1 positive

    Tagged in the same articles (co-occurrence, not cause)

  5. Friends And Family9 articles

    Narrative frames · No. 5

    Friends And Family

    9 articles in the last 24 hours · busiest about 13 hours ago

    24h agoArticles per hourNow

    Tone, 9 scored: 0 negative 9 neutral 0 positive

  6. Civil Unrest, Conflict6 articles

    Narrative frames · No. 6

    Civil Unrest, Conflict

    6 articles in the last 24 hours · busiest about 23 hours ago

    24h agoArticles per hourNow

    Tone, 6 scored: 2 negative 4 neutral 0 positive

    Tagged in the same articles (co-occurrence, not cause)

Counts are articles from the last 24 hours whose analysis tags each signal; narrative frames are topic scores of 0.2 or higher. “Tagged in the same articles” is co-occurrence only: it doesn’t mean one signal causes, influences or is connected to another.

Story Threads

Stories still unfolding, and what they connect to

Each thread is a story that has kept appearing across publishers for weeks. The strip shows daily coverage; the chips show the people and places most often tagged alongside it.

Last 21 days · updated

  1. Coverage is holding steady: 3 articles in the last 7 full days vs 2 the week before.

    9 articles · 9 of 21 days

    Oct 15: 1 articleOct 16: 0 articlesOct 17: 1 articleOct 18: 0 articlesOct 19: 0 articlesOct 20: 1 articleOct 21: 0 articlesOct 22: 0 articlesOct 23: 0 articlesOct 24: 0 articlesOct 25: 1 articleOct 26: 0 articlesOct 27: 1 articleOct 28: 0 articlesOct 29: 0 articlesOct 30: 1 articleOct 31: 1 articleNov 1: 0 articlesNov 2: 1 articleNov 3: 0 articlesNov 4: 1 article

    Discovered by analysis Grouped automatically from entity tags, not editorially curated.

    Tagged together
  2. Coverage is easing: 2 articles in the last 7 full days vs 3 the week before.

    6 articles · 6 of 21 days

    Oct 15: 1 articleOct 16: 0 articlesOct 17: 0 articlesOct 18: 0 articlesOct 19: 0 articlesOct 20: 0 articlesOct 21: 0 articlesOct 22: 1 articleOct 23: 1 articleOct 24: 1 articleOct 25: 0 articlesOct 26: 0 articlesOct 27: 0 articlesOct 28: 0 articlesOct 29: 0 articlesOct 30: 0 articlesOct 31: 1 articleNov 1: 1 articleNov 2: 0 articlesNov 3: 0 articlesNov 4: 0 articles

    Discovered by analysis Grouped automatically from entity tags, not editorially curated.

    Tagged together
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Our Story

  • Team climbing a mountain, representing the early NLP news project

    October 2017

    Our Humble Beginnings

    Looking to launch our first startup, we started developing our first cut at a news platform that performed NLP analyses of online news articles. It was an incredibly eye-opening project that taught us a lot about startups and technology!

  • Friends playing a board game, representing a turning point in our product

    March 2018

    An Inflection Point

    Up until this time, we were paying a third-party vendor to use their NLP API for webpage and raw text analysis. Then, in an effort to save money and reduce dependencies, we decided to develop our own NLP API in-house!

  • Man playing tennis, symbolizing opening the platform to new ideas

    Febuary 2020

    Opening the Platform

    In 2020, we started exploring new ways of leveraging our NLP API. We wanted to create an echo chamber of news and media products that did NLP analyses of online content. We started by creating a website that analyzed sports articles using the StumbleUpon UX!

  • Young man in a suit, representing the launch of Scroll News

    July 2025

    Creation of Scroll News

    Due to the massive code bloat of our first news product, we decided to turn the project into a learning experience and develop a newer, more focused news platform called Scroll News, that simplifies and streamlines the news consumption process. Which brings us to today! Welcome to Scroll News!

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