While most media companies are moving from the web to focus on mobile, Flipboard is doing the opposite — having built the app on mobile, it is now launching a web version
Trove, the content-recommendation platform that the Graham family held onto when they sold the Washington Post, is trying to build something that combines the best qualities of Twitter, Facebook and RSS. But will anyone use it?
Today on Twitter’s first ever analyst call, the company previewed a massive range of products it’s developing. Here’s a rundown on the most important features.
Facebook is launching a standalone app called Paper that takes content from the network and turns it into a newspaper-style platform, driven partly by algorithms and partly by human editors. It enters a crowded market and is likely to make media companies even more suspicious
The former owners of the Washington Post have relaunched a news-curation and recommendation app called Trove, which they hope will encourage users to find and share content in new ways — but the curation market is a crowded one
If LinkedIn were to buy the Pulse news-recommendation app — something a number of reports say could be in the works — it would give the corporate social network a powerful way of filtering content for its users.
Apple’s iOS App Store has introduced a significant rule change: no more apps that promote third-party apps that look too much like Apple’s own App Store. But Apple may not be targeting quality app recommendation services as much as cheap knock-offs and pay-per-install marketing campaigns.
A newly-launched startup called Foundd is taking the algorithmic approach, while its Berlin neighbour Tweek.tv is going for the social angle. But why has no winner emerged in this space already?
Livestar, a new iPhone app, makes it easy to find the two kinds of recommendations that matter most to many users: friend suggestions and professional reviews. The app from former Microsoft exec Fritz Lanman serves as a sort of search engine, Q&A platform and review aggregator.
Thanks to the rating systems in place on such popular websites as Yelp, Amazon and eBay, many people are comfortable evaluating things in absolute terms: a two-star restaurant, a B movie and so on. But new MIT research says this approach is fundamentally flawed.