SAGE Research Methods Video: Data Science, Big Data Analytics, and Digital Methods - Data Cleaning: A YouTube Case Study on Separating Information From Noise

Name: Data Cleaning: A YouTube Case Study on Separating Information From Noise
Uploaded: 2021-12-09
Duration: 19 min 17 s
Description: Tommaso Venturini, PhD, Researcher at the Centre National de la Recherche Scientifique (CNRS) and Associate Professor at the University of Geneva, illustrates the subjective decision-making involved in a data project using a YouTube case study on data cleaning to separate information from fake-view noise.

Transcript

Video Type: Case Study

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  Venturini, T. (Academic). (2022). Data cleaning: a YouTube case study on separating information from noise [Video]. SAGE Research Methods. https://dx.doi.org/10.4135/9781529600841
  
  Venturini, Tommaso. "Data Cleaning: A YouTube Case Study on Separating Information From Noise." In SAGE Video. : SAGE Publications, Ltd., 2022. Video, 00:19:17. https://dx.doi.org/10.4135/9781529600841.
  
  Venturini, T., 2022. Data Cleaning: A YouTube Case Study on Separating Information From Noise, SAGE Video. [Streaming Video] London: SAGE Publications Ltd. Available at: <https://dx.doi.org/10.4135/9781529600841 & gt; [Accessed 11 Aug 2022].
  
  Venturini, Tommaso. Data Cleaning: A YouTube Case Study on Separating Information From Noise. Online video clip. SAGE Video. London: SAGE Publications, Ltd., 9 Dec 2021. doi: https://dx.doi.org/10.4135/9781529600841. 11 Aug 2022.
  
  Data Cleaning: A YouTube Case Study on Separating Information From Noise [Streaming video]. 2022. doi:10.4135/9781529600841. Accessed 08/11/2022
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Summary

Summary

Tommaso Venturini, PhD, Researcher at the Centre National de la Recherche Scientifique (CNRS) and Associate Professor at the University of Geneva, illustrates the subjective decision-making involved in a data project using a YouTube case study on data cleaning to separate information from fake-view noise.