@article{1386293,
      recid = {1386293},
      title = {Cultural Analytics /},
      pages = {1 online resource (248 pages) :},
      abstract = {A book at the intersection of data science and media  studies, presenting concepts and methods for computational  analysis of cultural data.How can we see a billion images?  What analytical methods can we bring to bear on the  astonishing scale of digital culture--the terabytes of  photographs shared on social media every day, the hundreds  of millions of songs created by twenty million musicians on  Sound Cloud, the content of four billion Pinterest boards?  In Cultural Analytics, Lev Manovich presents concepts and  methods for computational analysis of cultural data, with a  particular focus on visual media. Drawing on more than a  decade of research and projects from his own lab,  Manovich--the founder of the field of cultural  analytics--offers a gentle, nontechnical introduction to  selected key concepts of data science and discusses the  ways that our society uses data and algorithms.Manovich  offers examples of computational cultural analysis and  discusses the shift from new media to more media; explains  how to turn cultural processes into computational data; and  introduces concepts for exploring cultural datasets using  data visualization as well as other recently developed  methods for analyzing image and video datasets. He  considers both the possibilities and the limitations of  computational methods, and how using them challenges our  existing ideas about culture and how to study it. Cultural  Analytics is a book of media theory. Arguing that before we  can theorize digital culture, we need to see it, and that,  because of its scale, to see it we need computers, Manovich  provides scholars with practical tools for studying  contemporary media.},
      url = {http://library.usi.edu/record/1386293},
}