A specification for building NewsAI
Exploring the long-term changes that can happen in the consumption and creation of news through the emergance of AI techniques, and advancements in Machine Learning.
- Giving context to articles discussed on Facebook Messenger. Similar to the @fbchess. Gives you an overview of the current afairs news by doing @currentnews or @news which gives you back a summary and some contextual information.
- Consumer Apps:
- A new experience of reading the news. It provides not just the news article, but contextual information on top of it.
- A way for consumers to want to stay updated on a news topic. This is if you want to stay updated to the ISIS bombing. We know that ISIS bombing is a "topic" in the database that has several "articles" underneath it. Then when a new article is added to that topic you can push to that user.
- Catch up on X or something like "You missed news X" while you were gone.
- There's a lot of news. How can you get it, analyze it, and use it to predict things?
- How can you model things like Timelines and key topics that occur in news?
- Individual contributors are now able to build up their own brand given the new social media aspects of things. This is a way to centralize and provide a platform for them to be able to get up to date news information, but also be able to explore archival information for news.
We can generate things like timelines for entities, entity information, old news articles, articles written about same perspective by different publishers, etc.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent