We all have seen them: “news”, ads, chain messages. They are scattered with content supposedly selected for us: unreliable news, rumors, malicious texts try to divide communities, cities, nations and the world. Fake news is content created maliciously with the […]
Facebook’s mission is to “Give people the power to build community and bring the world closer together”. However, the way Facebook employs machine learning algorithms promotes a narrow view of the world to its users. How can Facebook improve?
How can news organizations, at a time that they might die at the heels of free media, use machine learning to drive product development and productivity?
Technology platforms have digitized the media supply chain leading to proliferation of news. But can they manage what they have created?
As Facebook has improved their news content supply chain via sophisticated machine learning recommendation algorithms, they have enabled an internet where we are rarely subjected to contradictory viewpoints.
Facebook's targeting has become too good for its own good. How should they adapt to their new role as a news provider?
Can the NYTimes find its way in a digital world?
Can the Washington Post bring news online?
In 2013 the average human attention span was found to be shorter than that of a goldfish. With an increasing availability of succinct, captivating, free content, consumers are increasingly less willing to pay for physical newspapers and online content. How will the New York Times remain relevant and profitable?
Can the front page of the internet be as profitable as it is addictive?