Big Data, Digital Media, and Computational Social Science

@article{Shah2015BigDD,
  title={Big Data, Digital Media, and Computational Social Science},
  author={Dhavan V. Shah and J. Cappella and W. Neuman},
  journal={The ANNALS of the American Academy of Political and Social Science},
  year={2015},
  volume={659},
  pages={13 - 6}
}
  • Dhavan V. Shah, J. Cappella, W. Neuman
  • Published 2015
  • Sociology
  • The ANNALS of the American Academy of Political and Social Science
  • We live life in the network. We check our e-mails regularly, make mobile phone calls from almost any location ... make purchases with credit cards ... [and] maintain friendships through online social networks. ... These transactions leave digital traces that can be compiled into comprehensive pictures of both individual and group behavior, with the potential to transform our understanding of our lives, organizations, and societies. 
    113 Citations
    Bias and beyond in digital trace data
    • 3
    • PDF
    Online social network data as sociometric markers.
    • 2
    • PDF
    Citizenship, Social Media, and Big Data
    • 30
    • PDF
    A Tutorial for Using Twitter Data in the Social Sciences: Data Collection, Preparation, and Analysis
    • 7
    • Highly Influenced
    Conceptualizing Big Social Data
    • 50
    • PDF
    Big Data Analytics: From Threatening Privacy to Challenging Democracy

    References

    SHOWING 1-10 OF 17 REFERENCES
    Sociology. Social scientists wade into the tweet stream.
    • 109
    Social media for large studies of behavior
    • 397
    The Filter Bubble: What the Internet Is Hiding from You
    • 2,089
    • PDF
    Experimental evidence of massive-scale emotional contagion through social networks.
    • 1,738
    • PDF
    Finding Deceptive Opinion Spam by Any Stretch of the Imagination
    • 952
    • PDF
    Inferring air pollution by sniffing social media
    • 51
    • PDF
    Big data meets public health
    • 221
    The Age of Big Data
    • 522
    • PDF
    Big Data and Disease Prevention: From Quantified Self to Quantified Communities
    • 124