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ICSE 2021
Mon 17 May - Sat 5 June 2021
Fri 28 May 2021 10:40 - 10:55 at Blended Sessions Room 4 - 4.1.4. Image Processing Chair(s): Oscar Pastor
Fri 28 May 2021 22:40 - 22:55 at Blended Sessions Room 4 - 4.1.4. Image Processing

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 possible to obtain such data by aggregating information from images posted to social media. The paper presents VisualCit, a pipeline for image-based social sensing combining recent advances in image recognition technology with geocoding and crowdsourcing techniques. Our aim is to discover in which countries, and to what extent, people are following COVID-19 related policy directives. We compared the results with the indicators produced within the CovidDataHub behavior tracker initiative. Preliminary results shows that social media images can produce reliable indicators for policy makers.

Fri 28 May

Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

10:00 - 10:55
4.1.4. Image ProcessingJournal-First Papers / Technical Track / SEIS - Software Engineering in Society at Blended Sessions Room 4 +12h
Chair(s): Oscar Pastor Universitat Politecnica de Valencia
10:00
20m
Paper
psc2code: Denoising Code Extraction from Programming ScreencastsJournal-First
Journal-First Papers
Lingfeng Bao Zhejiang University, Zhenchang Xing Australian National University, Xin Xia Huawei Software Engineering Application Technology Lab, David Lo Singapore Management University, Minghui Wu Zhejiang University City College}, Xiaohu Yang Zhejiang University
Pre-print Media Attached
10:20
20m
Paper
IMGDroid: Detecting Image Loading Defects in Android ApplicationsArtifact ReusableTechnical TrackArtifact Available
Technical Track
Wei Song Nanjing University of Science & Technology, Mengqi Han Nanjing University of Science & Technology, Jeff Huang Texas A&M University
Link to publication DOI Pre-print Media Attached
10:40
15m
Paper
Image-based Social Sensing: Combining AI and the Crowd to Mine Policy-Adherence Indicators from TwitterSEIS
SEIS - Software Engineering in Society
Virginia Negri Politecnico di Milano, Dario Scuratti Politecnico di Milano, Stefano Agresti Politecnico di Milano, Donya Rooein Politecnico di Milano, Gabriele Scalia Politecnico di Milano, Jose Luis Fernandez-Marquez University of Geneva, Amudha Ravi Shankar UNIGE, Mark Carman Politecnico di Milano, Barbara Pernici Politecnico di Milano
Pre-print Media Attached
22:00 - 22:55
22:00
20m
Paper
psc2code: Denoising Code Extraction from Programming ScreencastsJournal-First
Journal-First Papers
Lingfeng Bao Zhejiang University, Zhenchang Xing Australian National University, Xin Xia Huawei Software Engineering Application Technology Lab, David Lo Singapore Management University, Minghui Wu Zhejiang University City College}, Xiaohu Yang Zhejiang University
Pre-print Media Attached
22:20
20m
Paper
IMGDroid: Detecting Image Loading Defects in Android ApplicationsArtifact ReusableTechnical TrackArtifact Available
Technical Track
Wei Song Nanjing University of Science & Technology, Mengqi Han Nanjing University of Science & Technology, Jeff Huang Texas A&M University
Link to publication DOI Pre-print Media Attached
22:40
15m
Paper
Image-based Social Sensing: Combining AI and the Crowd to Mine Policy-Adherence Indicators from TwitterSEIS
SEIS - Software Engineering in Society
Virginia Negri Politecnico di Milano, Dario Scuratti Politecnico di Milano, Stefano Agresti Politecnico di Milano, Donya Rooein Politecnico di Milano, Gabriele Scalia Politecnico di Milano, Jose Luis Fernandez-Marquez University of Geneva, Amudha Ravi Shankar UNIGE, Mark Carman Politecnico di Milano, Barbara Pernici Politecnico di Milano
Pre-print Media Attached