rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Data versus Democracy
    sub title: How Big Data Algorithms Shape Opinions and Alter the Course of History
  name:
    name part: Shaffer, Kris.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2019
    edition: 1st ed. 2019.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVII, 120 p. 2 illus. online resource.
  abstract: Human attention is in the highest demand it has ever been. The drastic increase in available information has compelled individuals to find a way to sift through the media that is literally at their fingertips. Content recommendation systems have emerged as the technological solution to this social and informational problem, but they've also created a bigger crisis in confirming our biases by showing us only, and exactly, what it predicts we want to see. Data versus Democracy investigates and explores how, in the era of social media, human cognition, algorithmic recommendation systems, and human psychology are all working together to reinforce (and exaggerate) human bias. The dangerous confluence of these factors is driving media narratives, influencing opinions, and possibly changing election results. In this book, algorithmic recommendations, clickbait, familiarity bias, propaganda, and other pivotal concepts are analyzed and then expanded upon via fascinating and timely case studies: the 2016 US presidential election, Ferguson, GamerGate, international political movements, and more events that come to affect every one of us. What are the implications of how we engage with information in the digital age? Data versus Democracy explores this topic and an abundance of related crucial questions. We live in a culture vastly different from any that has come before. In a society where engagement is currency, we are the product. Understanding the value of our attention, how organizations operate based on this concept, and how engagement can be used against our best interests is essential in responsibly equipping ourselves against the perils of disinformation.
  table of contents: Part I: The Propaganda Problem -- Chapter 1: Pay Attention: How Information Abundance Affects the Way We Consume Media -- Chapter 2: Cog in the System: How the Limits of Our Brains Leave Us Vulnerable to Cognitive Hacking -- Chapter 3: Swimming Upstream: How Content Recommendation Engines Impact Information and Manipulate Our Attention -- Part II: Case Studies -- Chapter 4: Domestic Disturbance: Ferguson, GamerGate, and the Rise of the American Alt-Right -- Chapter 5: Democracy Hacked, Part 1: Russian Interference and the New Cold War -- Chapter 6: Democracy Hacked, Part 2: Rumors, Bots, and Genocide in the Global South -- Chapter 7: Conclusion: Where Do We Go from Here? -- .
  note: by Kris Shaffer.
  subject:
    topic: Algorithms
  subject:
    topic: Big data
  subject:
    topic: Data mining
  subject:
    topic: Algorithms
  subject:
    topic: Big Data/Analytics
  subject:
    topic: Big Data
  subject:
    topic: Data Mining and Knowledge Discovery
  classification: QA76.9.A43
  classification: 518.1
  related item:
    title info:
      title: Springer eBooks
  identifier: 9781484245408
  identifier: https://doi.org/10.1007/978-1-4842-4540-8
  record info:
    record creation date: 190702
    record change date: 20190702212823.0
    record identifier: 978-1-4842-4540-8