Hasil Pencarian  ::  Simpan CSV :: Kembali

Abstrak :
Penelitian ini bertujuan untuk menganalisis representasi kelas sosial dalam big data di Indonesia. Penelitian ini berargumen bahwa persoalan pengaplikasian big data terletak pada bias yang disebabkan tidak reprsentatifnya data yang diproduksi. Berdasarkan konteks struktural pada masyarakat Indonesia, dimana secara kuantitatif melalui analisis terhadap data Susenas 2016 menunjukan bahwa terdapat hubungan antara kelas sosial, konteks sosial desa-kota, dan konteks spasial terhadap akses internet dalam proses transformasi struktur sosial kedalam masyarakat jaringan yang berimplikasi terhadap produksi data. Dimana terdapat kecenderungan menghilangkan representasi kelas bawah di Indonesia. ...... The research purposes are to study the social class representation of big data in Indonesia. This research argues that problems of big data are situated by bias in how the data are produced. Based on Indonesian socio structural context, analyzed quantitatively on Susenas 2016 data show that there is a linear statistical relationship from social class to internet access controlled by rural urban social context and spatial context. This relationship creating a significant impact on structural transformation toward network society, and how data are produced by the tendency of eliminating lower class in data generating process.

Abstrak :
One of the most exciting developments from the world of ideas in decades, presented with panache by two frighteningly brilliant, endearingly unpretentious, and endlessly creative young scientists."--Steven Pinker, author of The Better Angels of Our Nature Our society has gone from writing snippets of information by hand to generating a vast flood of 1s and 0s that record almost every aspect of our lives: who we know, what we do, where we go, what we buy, and who we love. This year, the world will generate 5 zettabytes of data. (That's a five with twenty-one zeros after it.) Big data is revolutionizing the sciences, transforming the humanities, and renegotiating the boundary between industry and the ivory tower. What is emerging is a new way of understanding our world, our past, and possibly, our future. In Uncharted, Erez Aiden and Jean-Baptiste Michel tell the story of how they tapped into this sea of information to create a new kind of telescope: a tool that, instead of uncovering the motions of distant stars, charts trends in human history across the centuries. By teaming up with Google, they were able to analyze the text of millions of books. The result was a new field of research and a scientific tool, the Google Ngram Viewer, so groundbreaking that its public release made the front page of The New York Times, The Wall Street Journal, and The Boston Globe, and so addictive that Mother Jones called it "the greatest timewaster in the history of the internet." Using this scope, Aiden and Michel-and millions of users worldwide-are beginning to see answers to a dizzying array of once intractable questions. How quickly does technology spread? Do we talk less about God today? When did people start "having sex" instead of "making love"? At what age do the most famous people become famous? How fast does grammar change? Which writers had their works most effectively censored by the Nazis? When did the spelling "donut" start replacing the venerable "doughnut"? Can we predict the future of human history? Who is better known-Bill Clinton or the rutabaga? All over the world, new scopes are popping up, using big data to quantify the human experience at the grandest scales possible. Yet dangers lurk in this ocean of 1s and 0s-threats to privacy and the specter of ubiquitous government surveillance. Aiden and Michel take readers on a voyage through these uncharted waters" "Breaking open Big Data, two Harvard scientists reveal a ground-breaking way of looking at history and culture"