Artifacts for Characterizing Human Aspects in Reviews of COVID-19 Apps
Mattia Fazzini, Hourieh Khalajzadeh, Omar Haggag, Zhaoqing Li, Humphrey O. Obie, Chetan Arora, Waqar Hussain, John Grundy · Zenodo (CERN European Organization for Nuclear Research) · 2022
This archive contains the artifacts associated with our study titled "Characterizing Human Aspects in Reviews of COVID-19 Apps". Specifically, the archive contains: * The dataset of reviews we downloaded from the App Store and the Google Play store (`Reviews.zip`) * The keywords we used to filter the reviews (`Keywords.json`) * The filtered dataset of reviews (`Filtered_Reviews.zip`) * The codebook to characterize human aspects (`Human_Aspects_Codebook.pdf`) * The codebook to characterize review types (`Review_Types_Codebook.pdf`) * The labeled App Store reviews (`Labeled_Reviews-Apple_Store.csv`) * The labeled Google Play store reviews (`Labeled_Reviews-Apple_Store.csv`)