Big Social Data Analytics in Journalism and Mass Communication

@article{Guo2016BigSD,
  title={Big Social Data Analytics in Journalism and Mass Communication},
  author={L. Guo and Chris J. Vargo and Z. Pan and W. Ding and P. Ishwar},
  journal={Journalism & Mass Communication Quarterly},
  year={2016},
  volume={93},
  pages={332 - 359}
}
  • L. Guo, Chris J. Vargo, +2 authors P. Ishwar
  • Published 2016
  • Computer Science
  • Journalism & Mass Communication Quarterly
  • This article presents an empirical study that investigated and compared two “big data” text analysis methods: dictionary-based analysis, perhaps the most popular automated analysis approach in social science research, and unsupervised topic modeling (i.e., Latent Dirichlet Allocation [LDA] analysis), one of the most widely used algorithms in the field of computer science and engineering. By applying two “big data” methods to make sense of the same dataset—77 million tweets about the 2012 U.S… CONTINUE READING
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