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Dataset de Zenodo · Barbara Pernici

Crowd4SDG-VisualCit COVID-19 behavioral indicators

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Licencia
CC BY 4.0uso comercial permitidoTexto de la licencia
Esta licencia permite el uso comercial. Normalmente hay que citar al autor; consulta la licencia para ver las condiciones exactas.
Formatos
DOCX, CSV, XLSX
Tamaño
41 MB
Actualizado
12 mar 2021

Descripción

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…

Descripción de Zenodo, abreviada.

Archivos (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 B
  • CSVWorn face mask May11-17-alpha3.csv697 B
  • 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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