This article focuses on principles of information aggregation in the presence of false, public reports (fake news). The analysis explores news has been having a public goods feature characterized by models of information and economic efficiency. The analysis is not tied to any particular theory about how or why unreliable news emerges. The reports could be purposeful deception, intentions to mislead or profit motivated responses to decision biases of readers. A well-known and widely studied “cascade” experiment is used to illustrate principles that provide links to standard economic models. News is modeled as an aggregation of a simple, fixed chain of decentralized observations and reports about an underlying, unknown state of nature. The personal value of an individual’s decision depends on both the decision and the underlying state of nature. The information about the state used in the decision can reflect private observations or the “news” about the decisions of others. The experiments demonstrate that aggregated information is dependent on accumulated trust in news sources and has value as a special form of public goods.

The paper addresses the issue of "fake news" through a well-known and widely studied experiment that illustrates a possible science behind the phenomenon. Public news is viewed as an aggregation of decentralized pieces of valuable information about complex events. Such systems rely on accumulated investment in trust in news sources. In the case of fake news, news source reliability is not known. The experiment demonstrates how fake news can destroy both the investment in trust and also the benefits that news provides. 1 The help of B. Atsavapranee, is gratefully acknowledged. All experimental programs were designed by Travis Maron. The technical contributions of Hsing Yang Lee were very helpful. The financial support of the John Templeton Foundation is gratefully acknowledged.