The tone of news about crypto by country
A language model decides which country each article is about: the main subject of the story or the place where it happens, not where the outlet is based. A country's colour is the zone of its tone index, from strongly negative to strongly positive.
over the last 24 hours · data since Sep 24, 05:35 PM UTC
- Strongly negative
- Negative
- Neutral
- Positive
- Strongly positive
- too little data
- no data
Articles tied to a country: 88 of 225. Hatched countries have fewer than 10 articles in the period: there a single story weighs too much to speak of a mood.
| Country | Index | Articles |
|---|---|---|
| United StatesRegulation | 63 | 60 |
| United KingdomExchanges | 50too little data | 8 |
| CanadaRegulation | 0too little data | 7 |
| JapanMacro | —too little data | 4 |
| IndiaRegulation | —too little data | 3 |
| BrazilRegulation | —too little data | 2 |
| ChinaAI | —too little data | 2 |
| South KoreaHacks and security | —too little data | 2 |
| SingaporeAI | —too little data | 2 |
| AustraliaMacro | —too little data | 1 |
| SwitzerlandMacro | —too little data | 1 |
| GermanyMacro | —too little data | 1 |
| FranceInstitutional | —too little data | 1 |
| HungaryMacro | —too little data | 1 |
| SwedenFunding and VC | —too little data | 1 |
An article about several countries counts for each of them (up to three). No country is set when one is mentioned in passing, or when the news is about the market as a whole, the EU or a whole region.
This is the tone of articles about a country as a model reads them, not a rating of the country, its government or its economy.