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Skup podataka sa Zenodo · Barbara Pernici

Crowd4SDG-VisualCit COVID-19 behavioral indicators

Otvori na Zenodo
Licenca
CC BY 4.0dozvoljena komercijalna upotrebaTekst licence
Licenca dozvoljava komercijalnu upotrebu. Obično treba navesti autora — tačni uslovi su u tekstu licence.
Formati
DOCX, CSV, XLSX
Veličina
41 MB
Ažurirano
12. 3. 2021.

Opis

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…

Opis sa Zenodo, skraćen.

Fajlovi (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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