| Born | Articles | Sources | Importance | Shared with this snapshot |
|---|---|---|---|---|
| 5d ago | 54 | 32 | 69.0 | 5 |
| 5d ago | 35 | 26 | 48.0 | 5 |
| 5d ago | 44 | 19 | 43.5 | 9 |
| 5d ago | 30 | 16 | 29.5 | 9 |
| 5d ago | 40 | 18 | 39.5 | 9 |
| 5d ago | 40 | 18 | 39.5 | 9 |
| 5d ago | 34 | 24 | 47.0 | 5 |
| 5d ago | 32 | 22 | 45.0 | 5 |
| 5d ago | 31 | 22 | 44.0 | 5 |
| 5d ago | 30 | 16 | 29.5 | 9 |
| 5d ago | 18 | 10 | 18.0 | 5 |
| 5d ago | 19 | 10 | 19.0 | 5 |
| 5d ago | 41 | 18 | 40.5 | 9 |
| 5d ago | 29 | 16 | 28.5 | 9 |
| 5d ago | 28 | 16 | 27.5 | 9 |
| 5d ago | 17 | 10 | 17.0 | 5 |
| 5d ago | 27 | 16 | 26.5 | 9 |
| 5d ago | 26 | 15 | 25.5 | 9 |
| 5d ago | 25 | 15 | 24.5 | 9 |
| 6d ago | 34 | 16 | 33.5 | 9 |
| 6d ago | 33 | 16 | 32.5 | 9 |
| 6d ago | 34 | 16 | 33.5 | 9 |
| 6d ago | 34 | 17 | 33.5 | 9 |
| 6d ago | 33 | 15 | 32.5 | 9 |
| 6d ago | 32 | 15 | 31.5 | 9 |
| 6d ago | 31 | 14 | 30.5 | 9 |
| 6d ago | 31 | 14 | 31.0 | 8 |
| 6d ago | 31 | 15 | 30.5 | 9 |
| 6d ago | 30 | 15 | 29.5 | 9 |
| 6d ago | 29 | 15 | 28.5 | 9 |
| 6d ago | 24 | 14 | 23.5 | 9 |
| 6d ago | 23 | 14 | 22.5 | 9 |
| 6d ago | 22 | 14 | 21.5 | 9 |
| 6d ago | 23 | 14 | 22.5 | 9 |
| 6d ago | 20 | 13 | 19.5 | 9 |
| 6d ago | 19 | 12 | 18.5 | 9 |
| 6d ago | 17 | 11 | 16.5 | 9 |
| 6d ago | 15 | 9 | 15.0 | 8 |
| 6d ago | 8 | 6 | 7.5 | 8 |
| 6d ago | 6 | 5 | 5.5 | 6 |
| When | Post | Tone |
|---|---|---|
| 9d ago | have you read kim stanley robinson's ministry for the future? i confess i still havent finished it, because the opening of it depicts a heatwave in india with lethal wet bulb temperatures. | -2.0 |
| 9d ago | International: Algeria heat wave warnings. India flooding and severe storms. Saudi Arabia flood warnings. Italy heat wave warnings. China flooding, drought, and heat wave warnings. | -4.5 |
| 9d ago | Cauvery delta crisis: Crops wither as farmers battle water deficit and heat wave www.deccanherald.com/india/tamil-na… | -4.0 |
| 9d ago | You forgot 1.7 million people in China evacuated due to flooding. Countless dying in India from heat exposure. | -8.0 |
| 9d ago | Catzwalk on Wednesday is Dhanushkodi, an abandoned town on the tip of Pamban Island, India. The town was destroyed during the 1964 Rameswaram cyclone/typhoon/hurricane and remains uninhabited. wal… | -1.0 |
| 9d ago | What living in one of world's hottest towns feels like ->The Independent | More on "Extreme heat India climate suffering" at BigEarthData.ai | -4.0 |
| 9d ago | And gruelling apparently. It’s the depiction of the heatwave in India, isn’t it? | -2.0 |
| 9d ago | International: India flooding and severe storms. Guinea flood and storm warnings. Italy severe storms and heat wave warnings. China flooding, drought, and heat wave warnings. | -4.5 |
| 10d ago | 'Living through sizzling temps in Banda, Indian town that is one of the world’s hottest. The N Indian town of Banda has endured weeks of extreme heat, with daytime temperatures repeatedly reaching… | -4.5 |
| 10d ago | Climate Change Is Rewriting the Monsoon—and Exposing India’s Planning Failures https://www.europesays.com/3133737/ The monsoons are once again exposing the paradox of India’s climate. Weak monsoo… | -4.5 |
| 10d ago | In 1813, the army of UK tried to invade India but were ravaged by a hurricane that destroyed their fleet | -2.0 |
| 10d ago | A weak, late monsoon season in India caused planting delays and water shortages. The weather effects of human-induced climate change will be compounded by a “super El Niño” pattern that is forecast… | -4.5 |
| 10d ago | 🇮🇳 South Asia Record Monsoon Rains Kill Over 100 Across Northern India — Surat Floods Leave 26 Dead More than 100 people have been killed across northern India after record monsoon rains triggere… | -8.0 |
| Tier | Title | Category | Source | Feeling | SentimentSentiment Score (-5 to +5) LLM-assessed emotional tone of coverage. -5 = extremely negative/alarming 0 = neutral/factual +5 = extremely positive/hopeful The colored bar shows position on the scale. Emotion badge uses Plutchik's 8 primary emotions: joy, trust, fear, surprise, sadness, disgust, anger, anticipation. |
|---|---|---|---|---|---|
| T3 | One killed as landslide devastates Nagaland's Mon; rescue operation underway ⚖ Contested | weather_impact | prokerala.com | tragic, urgent, somber | sadness |
| T3 | 8 killed, 12 injured as multiple landslides hit Nagaland's Mon district | weather_impact | indiatimes.com | tragic, devastating, urgent | sadness |
| T3 | Nagaland Landslide: 8 Feared Dead, 4 Bodies Recovered; Rescue Operations Underway ⚖ Contested | weather_impact | newsx.com | tragic, grim, urgent | sadness |
| T3 | Eight killed as massive landslide devastates Nagaland's Mon district ⚖ Contested | weather_impact | prokerala.com | devastated, tragic, grieving | sadness |
| T3 | 8 killed, 12 injured in multiple landslides in Nagaland's Mon district ⚖ Contested | weather_impact | aninews.in | tragic, devastating, mournful | sadness |
| T3 | Nagaland landslide kills eight, rescue operation underway ⚖ Contested | weather_impact | orissapost.com | tragic, urgent, somber | sadness |
| T3 | 8 dead in landslides in India's Nagaland state-Xinhua | weather_impact | english.news.cn | tragic, devastating, urgent | sadness |
| T3 | 8 dead in landslides in India's Nagaland state-Xinhua | weather_impact | english.news.cn | tragic, devastating, urgent | sadness |
| T3 | At least 16 killed as heavy rain triggers landslides, flash floods across north and east India | weather_flooding | newindianexpress.com | tragic, harrowing, mournful | sadness |
| T4 | 8 dead in landslides in India's Nagaland state | weather_impact | bignewsnetwork.com | devastated, mournful, shocked | sadness |