“Creepy”: When Big Tech Personalization Goes Too Far
As machine learning drives advances in personalization, do firms have the controls in place to protect consumer privacy? Can this be done without stifling innovation?
Can Facebook’s Artificial Intelligence Kill Fake News?
A exploration of the arms race to use Machine Learning by both those creating and stopping fake news.
Facebook, Fake News, and AI: Yet Another “HUGE” Problem in the Digital Era
The proliferation of misinformation, or fake news, on social media platforms has become a serious problem. Facebook – largely considered to be the main culprit in this controversy – is leaning heavily on machine learning to fight off this issue.
A Use Case for Machine Learning: How Facebook Uses Machine Learning to Combat Fake News
This paper will focus on Facebook’s use of machine learning to manage political content on its site. Today, with platforms like Facebook, content is being generated by a wider range of sources, which has eroded the credibility of the political information on Facebook. Recently, we have seen this occur with the proliferation of “fake news”, specifically falsified political information. This development has significant implications for Facebook and risks alienating its user based which can impact its bottom line and user base. It is Facebook’s mission to create a constructive community that brings people together to create positive experiences. False news is “harmful to [their] community” and “makes the world less informed” which inherently “erodes trust” with its users. In this context, using machine learning and other statistical tools to identify inaccurate and manipulated information is paramount to Facebook’s efforts to combat the spread of such information.
Is Facebook fulfilling its mission of bringing people together or is it splitting them apart?
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?
Unlocking the Power of Open Innovation in Disaster Relief
How the International Federation of Red Cross is Tapping into the Universal Desire for Purpose & Connection Through Crowdsourcing
Facebook’s Negotiating Chatbots – Deal or No Deal?
With machine learning, Facebook has built robots that can negotiate and even lie; what are the business and societal implications for Facebook and its users?
Re-inventing NYT: Impact of digitalization on news media
How can NYT compete with connected devices on delivering news?
Facebook: Bringing the world closer together in the age of isolationism.
In the age of isolationism and deglobalization how will businesses in developed markets, such as Facebook, which have benefited in the past from immigrant and offshore labor, adapt to the increasing pressure imposed by governments and an increasingly restless and disenchanted public, demanding curbs in immigration and the provision of better quality jobs to citizens?
Displacing Excel Monkeys: How Facebook is Automating the Forecasting Process
When people think about global supply chains, Facebook probably isn’t the first company that comes to mind. Facebook, however, operates a complex global supply chain, delivering its products to billions of people and collecting trillions of data points every day. […]