by Adrian Klein, Cristina Cordova, Gabriel Sama, Staci Baird and Mandy Jenkins
The big dilemma for digital news publishing platforms is how to balance what people “want” to know with what people “need” to know. Most algorithms learn readers’ news consuming habits but have no ability to predict people’s interests when the next tsunami strikes. Likewise, publishers around the world are learning their assumptions of how, when and where people want their news are all wrong. For example, tablets have given a second life to long-form reading, thought to be dead because of the move towards shorter stories online. We will discuss the right formula for news publishers – both platforms and news media companies – to help them define the content they push to readers. We will examine readers' wants, needs and desires based on their consumption patterns, or touch points: when, where and how they want to get their news and how to create the right mix of news offerings to satisfy a reader that has more choices – and more control over those choices – than ever. And we will discuss the topic of serendipity: how to accurately predict interests ahead of time without missing something important, fascinating or plain interesting that’s out of people’s favorite topics. Panel includes executives from Pulse, Evri and Hearsay plus experienced media observers.