Lies of Omission: Algorithms versus Democracy

A lie of omission—withholding needed information to correct a false belief. There is a sharp and more hostile divide emerging in the United States. The shift is documented by various polls, and the speed of the change is alarming. There are certainly contributing factors, but one factor is unique to the contemporary era: receiving the majority of our information via social media experiences. Media algorithms, and to some extent overt censorship, serve users curated content that is unlike what their neighbors receive. Lies of Omission brings together various perspectives on the causes and effects of the divided information streams. Psychology and neuroscience, combined with some historical jurisprudence, are woven together to spell out the dangers of the modern social media experience. Importantly, the human response can be understood as rooted in our psychology and neurochemistry.   In part two of the book, eight hot button issues that have provoked deep divisions among American citizens are presented as well-researched, opposing-view chapters with a goal to lay bare the extent of the disinformation gap that we are living in. With the rise of ephemeral smart media, and the associated displacement of the permanently printed word, it is rare to have a clear idea of what persons who do not share our opinions actually believe, or why. The decimation of communal information sources is nearly complete. What can one do? One concrete step is to turn some of your attention away from curated, impermanent news and read a book. Read this book. Dr. Catherine DeSoto spells out why it is worth our time to be informed regarding the issues we care about: something your phone’s curated media will never do for you. Open your mind to the quaint idea that one is not informed unless one understands the opposing view.    Surprising all-new research regarding the political divide and the pandemic is included. Together with over 150 references, this book will be the definitive source documenting the effects of the media algorithm revolution.