Search (5 results, page 1 of 1)

0.085736305 = product of:
  0.17147261 = sum of:
    0.14189808 = weight(_text_:social in 550) [ClassicSimilarity], result of:
      0.14189808 = score(doc=550,freq=38.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.768159 = fieldWeight in 550, product of:
          6.164414 = tf(freq=38.0), with freq of:
            38.0 = termFreq=38.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.03125 = fieldNorm(doc=550)
    0.029574523 = product of:
      0.059149045 = sum of:
        0.059149045 = weight(_text_:aspects in 550) [ClassicSimilarity], result of:
          0.059149045 = score(doc=550,freq=4.0), product of:
            0.20938325 = queryWeight, product of:
              4.5198684 = idf(docFreq=1308, maxDocs=44218)
              0.046325076 = queryNorm
            0.28249177 = fieldWeight in 550, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              4.5198684 = idf(docFreq=1308, maxDocs=44218)
              0.03125 = fieldNorm(doc=550)
      0.5 = coord(1/2)
  0.5 = coord(2/4)

Abstract

Social media connected the world--and gave rise to fake news and increasing polarization. Now a leading researcher at MIT draws on 20 years of research to show how these trends threaten our political, economic, and emotional health in this eye-opening exploration of the dark side of technological progress. Today we have the ability, unprecedented in human history, to amplify our interactions with each other through social media. It is paramount, MIT social media expert Sinan Aral says, that we recognize the outsized impact social media has on our culture, our democracy, and our lives in order to steer today's social technology toward good, while avoiding the ways it can pull us apart. Otherwise, we could fall victim to what Aral calls "The Hype Machine." As a senior researcher of the longest-running study of fake news ever conducted, Aral found that lies spread online farther and faster than the truth--a harrowing conclusion that was featured on the cover of Science magazine. Among the questions Aral explores following twenty years of field research: Did Russian interference change the 2016 election? And how is it affecting the vote in 2020? Why does fake news travel faster than the truth online? How do social ratings and automated sharing determine which products succeed and fail? How does social media affect our kids? First, Aral links alarming data and statistics to three accelerating social media shifts: hyper-socialization, personalized mass persuasion, and the tyranny of trends. Next, he grapples with the consequences of the Hype Machine for elections, businesses, dating, and health. Finally, he maps out strategies for navigating the Hype Machine, offering his singular guidance for managing social media to fulfill its promise going forward. Rarely has a book so directly wrestled with the secret forces that drive the news cycle every day"

Content

Inhalt: Pandemics, Promise, and Peril -- The New Social Age -- The End of Reality -- The Hype Machine -- Your Brain on Social Media -- A Network's Gravity is Proportional to Its Mass -- Personalized Mass Persuasion -- Hypersocialization -- Strategies for a Hypersocialized World -- The Attention Economy and the Tyranny of Trends -- The Wisdom and Madness of Crowds -- Social Media's Promise Is Also Its Peril -- Building a Better Hype Machine.

LCSH

Social media / Moral and ethical aspects
Social interaction

RSWK

Social Media / Informationsgesellschaft / Propaganda / Fehlinformation

Subject

Social Media / Informationsgesellschaft / Propaganda / Fehlinformation
Social media / Moral and ethical aspects
Social interaction

0.060092136 = product of:
  0.12018427 = sum of:
    0.07536277 = weight(_text_:social in 4060) [ClassicSimilarity], result of:
      0.07536277 = score(doc=4060,freq=14.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.407973 = fieldWeight in 4060, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.02734375 = fieldNorm(doc=4060)
    0.044821505 = product of:
      0.08964301 = sum of:
        0.08964301 = weight(_text_:aspects in 4060) [ClassicSimilarity], result of:
          0.08964301 = score(doc=4060,freq=12.0), product of:
            0.20938325 = queryWeight, product of:
              4.5198684 = idf(docFreq=1308, maxDocs=44218)
              0.046325076 = queryNorm
            0.42812884 = fieldWeight in 4060, product of:
              3.4641016 = tf(freq=12.0), with freq of:
                12.0 = termFreq=12.0
              4.5198684 = idf(docFreq=1308, maxDocs=44218)
              0.02734375 = fieldNorm(doc=4060)
      0.5 = coord(1/2)
  0.5 = coord(2/4)

Abstract

A former Wall Street quant sounds an alarm on the mathematical models that pervade modern life - and threaten to rip apart our social fabric. We live in the age of the algorithm. Increasingly, the decisions that affect our lives - where we go to school, whether we get a loan, how much we pay for insurance - are being made not by humans, but by mathematical models. In theory, this should lead to greater fairness: everyone is judged according to the same rules, and bias is eliminated. And yet, as Cathy O'Neil reveals in this urgent and necessary book, the opposite is true. The models being used today are opaque, unregulated, and incontestable, even when they're wrong. Most troubling, they reinforce discrimination. Tracing the arc of a person's life, O'Neil exposes the black box models that shape our future, both as individuals and as a society. These "weapons of math destruction" score teachers and students, sort CVs, grant or deny loans, evaluate workers, target voters, and monitor our health. O'Neil calls on modellers to take more responsibility for their algorithms and on policy makers to regulate their use. But in the end, it's up to us to become more savvy about the models that govern our lives. This important book empowers us to ask the tough questions, uncover the truth, and demand change.

LCSH

Big data / Social aspects / United States
Big data / Political aspects / United States
Social indicators / Mathematical models / Moral and ethical aspects
United States / Social conditions / 21st century

Subject

Big data / Social aspects / United States
Big data / Political aspects / United States
Social indicators / Mathematical models / Moral and ethical aspects
United States / Social conditions / 21st century

0.03661915 = product of:
  0.0732383 = sum of:
    0.057547275 = weight(_text_:social in 5306) [ClassicSimilarity], result of:
      0.057547275 = score(doc=5306,freq=4.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.3115296 = fieldWeight in 5306, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5306)
    0.015691021 = product of:
      0.031382043 = sum of:
        0.031382043 = weight(_text_:22 in 5306) [ClassicSimilarity], result of:
          0.031382043 = score(doc=5306,freq=2.0), product of:
            0.16222252 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046325076 = queryNorm
            0.19345059 = fieldWeight in 5306, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5306)
      0.5 = coord(1/2)
  0.5 = coord(2/4)

Date

18. 9.2018 12:57:22

RSWK

Social Media

Subject

Social Media

0.014386819 = product of:
  0.057547275 = sum of:
    0.057547275 = weight(_text_:social in 4062) [ClassicSimilarity], result of:
      0.057547275 = score(doc=4062,freq=4.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.3115296 = fieldWeight in 4062, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4062)
  0.25 = coord(1/4)

RSWK

Informationsgesellschaft / Sozialer Wandel / Social Media / Massendaten / Datenanalyse / Data Mining / Elektronische Überwachung / Manipulation / Widerstand

Subject

Informationsgesellschaft / Sozialer Wandel / Social Media / Massendaten / Datenanalyse / Data Mining / Elektronische Überwachung / Manipulation / Widerstand

0.0039227554 = product of:
  0.015691021 = sum of:
    0.015691021 = product of:
      0.031382043 = sum of:
        0.031382043 = weight(_text_:22 in 5376) [ClassicSimilarity], result of:
          0.031382043 = score(doc=5376,freq=2.0), product of:
            0.16222252 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046325076 = queryNorm
            0.19345059 = fieldWeight in 5376, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5376)
      0.5 = coord(1/2)
  0.25 = coord(1/4)

Date

28. 8.2019 19:21:22