The Huffington Post MobileWeb utilizes a inline pattern to achieve the most accessible news.
How did the HuffPost envision news on MobileWeb and utilize digital assets for this portable platform? In the spring of 2013, we decided to make accessibility and availability the priority of this platform. availability a priority for Mobile Web. Our publication is available in multiple languages and countries, so we set out to provide coverage for as many mobile phones as possible. This experience has helped grow our mobile audience and there are now more than 50 million unique visits per month. These cross-screen strategies were documented in Google’s multi-screen success stories and featured as the first case from a media company. HuffPost Mobile Web was also used as a demonstration for the Facebook Paper app. In the near future, we will be introducing more portable products with a tactile approach and we are also improving the advertisement experience for our partners and readers. As a global news group, our goal is to provide best MobileWeb experience on what is quickly becoming the world’s most popular platform.
Huffpost reiterated its mobile website with a distinctive pattern in 2013. We reorganized our web content from the small screen to make it fit on all mobile devices. This project rebuilt the “content for thumbs” concept and focused on story telling on all 4”-5” screens. Visually, the layouts aim to give an airy and clean visual identity to improve readability on small displays. During a reading journey, the content unfolds progressively at different stages of involvement in order to get access to our large digital assets harmoniously. That is what we called an in-line experience, where content were served in a one-page fashion. This pattern allows light computational efforts to achieve a rich representation in a tranquil tactile environment for most of the devices available since 2011. Additionally, we simplified our desktop categories to make them more digestible on mobile media. The site surfaces content based on users’ interests that we gather from their consumption habits. In the near future, we will bring in a machine learning process that each click gives us a hint on what would this reader be interested to provide a more productive mobile read experience.