- Unsurprisingly, when choosing which story to cover, EU news outlets are more likely to make similar choices if they are in the same country. [REF]
- Outlets in different EU countries, tend to to cover the same
stories, if these countries
- are neighbors
- vote for each other in the Eurovision song contest
- have strong trade ties
- EU countries with "untypical" choices of stories to cover tend to be those outside of the eurozone, and those that joined the EU latest. [REF]
- There is a strong bias towards covering males in every topic. The bias is lower in entertainment and higher in politics, business and sports. [REF]
- Articles in entertainment and sport are more readable than articles in business and politics. [REF]
- It is possible to predict which stories will become popular and find the related keywords. [REF]
- The content of Twitter can be reliably used to predict the presence of flu in a UK location (as well as its weather state).
- It is possible to build networks of people and other entities like organizations or places based on their co-occurrence in media content.
- It is possible to detect memes that are spreading fast through the mediasphere, intended as n-grams (strings of n words) whose frequency suddenly increases in a significant way. [REF]
- We can track which countries mention which other countries in their media content. [REF]