Image-Based Social Sensing: Combining AI and the Crowd to Mine Policy-Adherence Indicators from Twitter

@article{Negri2020ImageBasedSS,
  title={Image-Based Social Sensing: Combining AI and the Crowd to Mine Policy-Adherence Indicators from Twitter},
  author={Virginia Negri and Dario Scuratti and Stefano Agresti and Donya Rooein and Amudha Ravi Shankar and Jose Luis Fernandez Marquez and Mark James Carman and Barbara Pernici},
  journal={2021 IEEE/ACM 43rd International Conference on Software Engineering: Software Engineering in Society (ICSE-SEIS)},
  year={2020},
  pages={92-101}
}
  • Virginia NegriDario Scuratti B. Pernici
  • Published 6 October 2020
  • Computer Science
  • 2021 IEEE/ACM 43rd International Conference on Software Engineering: Software Engineering in Society (ICSE-SEIS)
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 essential for governments to have access to reliable data on policy-adherence with regards to mask wearing, social distancing, and other hard-to-measure quantities. In this paper we investigate whether it is… 
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6 Citations
Background Citations
2
Methods Citations
4
Results Citations
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6 Citations

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