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Dataset from Zenodo · Barbara Pernici

Crowd4SDG-VisualCit COVID-19 behavioral indicators

Open on Zenodo
License
CC BY 4.0commercial use allowedLicense text
This license allows commercial use. Usually you must credit the author; read the license for the exact terms.
Formats
DOCX, CSV, XLSX
Size
41 MB
Updated
Mar 12, 2021

Description

This dataset contains the VisualCit data for social distance and face masks derived from social media image analysis. From Twitter crawls with COVID-10 keywords, images are filtered ewith ML classifiers in order to retrieve images of people in public places which are photos. With crowdsourcing additional information is added about COVID-19 related behavioral aspects, with the goal of deriving indicators for decision makers to assess the ongoing situation. In this analysis we focus on the percentages of people wearing masks and maintaining social distances. Reference paper: V. Negri, D. Scuratti, S. Agresti, D. Rooein, G. Scalia, J.L. Fernandez Marquez, A. Ravi Shankar, M. Carman and B. Pernici, Image-based Social Sensing: Combining AI and the Crowd to Mine Policy-Adherence Indicators from Twitter, ICSE - Track Software Engineering in Society, May 2021 https://arxiv.org/abs/2010.03021 Abstract Social Media provides a trove of information that, if aggregated and analysed appropriately can provide important statistical indicators to policy makers. In some situations these indicators are not available through other mechanisms. For example, given the ongoing COVID-19 outbreak, it is…

Description from Zenodo, shortened.

Files (24)

  • DOCXcrowd4SDG-VisualCit-COVID-19-metadata.docx16 kB
  • CSV152_distancing_and_masks_2_results_geoloc_ok.csv2.6 MB
  • CSV162_social_distancing_week_34_results_geoloc_ok.csv1.8 MB
  • CSV106-info_4_0.csv4.7 kB
  • CSV106-info_3.csv3.7 kB
  • CSV106_CrawledTweets_25k.csv2.8 MB
  • CSVWorn face mask 27Jul-02Aug_alpha3.csv213 kB
  • CSVWorn face mask 17Aug-23Aug_alpha3.csv575 byte
  • CSVWorn face mask May11-17-alpha3.csv697 byte
  • CSV162_social_distancing_week_34_result.csv418 kB
  • CSV162_info_4_0.csv3.7 kB
  • CSV162_social_distancing_week_34_task.csv11 MB
  • CSV162_info_3.csv2.4 kB
  • CSV152_info_4_0.csv2.5 kB
  • CSV152_info_3.csv1.6 kB
  • XLSXcrowd4SDG-VisualCit-COVID-19_social_distancing_and_masks-crowd-question_structure.xlsx34 kB
  • CSV152_distancing_and_masks_2_task_run.csv2.5 MB
  • CSV152_distancing_and_masks_2_task.csv2 MB
  • CSV106_social_distancing_and_masks_result.csv245 kB
  • CSV152_distancing_and_masks_2_result.csv381 kB
  • CSV162_social_distancing_week_34_task_run.csv3.8 MB
  • CSV106_social_distancing_and_masks_task_run.csv2.9 MB
  • CSV106_social_distancing_and_masks_results_geoloc_ok.csv1.3 MB
  • CSV106_social_distancing_and_masks_task.csv8.8 MB

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