The NFL has a distinguished history of successful partnerships with upstart media companies. When it became the home of Sunday Night Football in 1987, ESPN’s unprecedented growth accelerated. Then, in 1993, the NFL sold its NFC Sunday afternoon package to Fox, firmly establishing it as the fourth major broadcast network in the U.S. In turn, both deals expanded the NFL’s reach and significantly increased its media rights revenue.
This fall the NFL is working with another new media partner: Twitter. In a $10 million deal, Twitter is live streaming for free 10 Thursday Night Football (TNF) games. It is part of Twitter’s overall strategy of making live events the centerpiece of its platform. For its part, the NFL reportedly passed on higher bidders for the digital TNF package to test new distribution models with a trusted partner.
In the latest MIT Sloan Expert Series podcast, Ben Shields, MIT Sloan lecturer in Managerial Communications, speaks to host Rebecca Knight about the latest grand experiment in the future of television brought to consumers by the NFL and Twitter.
It’s widely believed that uncertainty is bad for business. If you don’t have the right information, you make the wrong decisions. Or you make no decisions at all. We saw this play out during the financial crisis when there was quite a lot of uncertainty and many investors held back.
With that in mind, my colleagues and I recently looked at the effect of having greater financial information available within an industry. Specifically, we studied the impact of public firms on an industry, as public firms are required to disclose large amounts of information. They have to issue quarterly financial statements and provide information on operational details such as business strategy, expected future outlook, and business risk. Financial analysts and the business press provide even more information on those companies. Taken together, that disclosure activity can improve the information environment for firms in that industry by reducing uncertainty.
We often hear that the Internet is unpredictable, that it’s the “Wild West.” That would seem to be especially true of a social medium such as Twitter. After all, tweets are by definition instant and short-lived. But in a paper I and my co-authors just submitted to the Annals of Applied Statistics, we describe a model we have developed that predicts how popular a tweet is likely to be within just a few minutes of when the “root tweet” is posted.
And anyone who wants to can now try out our model by visiting www.twouija.com.
Log on to Facebook or Twitter any time of day, and you’ll find a familiar scene: people asking questions. “In a book rut – can anyone recommend a good novel?” “Boyfriend and I had a fight – should I dump him?” or “Am shopping for a newsuit — which color would look best on me?”
Social media has made it easier than ever before to ask questions of our friends, acquaintances, and other contacts. In some ways this is a good thing because we have more information to weigh, analyze, and consider before we make a decision. But in other ways, all this information and all these opinions can result in cognitive overload. It’s like going into the cereal aisle at the grocery store for every single decision.