New Conference Paper: “WhatsApp, Doc? A First Look at WhatsApp Public Group Data”
Here’s a new paper/dataset that has been accepted at the 12th International AAAI (Association for the Advancement of Artificial Intelligence) Conference on Web and Social Media (ICWSM2018) that is scheduled to take place in California in June.
WhatsApp, Doc? A First Look at WhatsApp Public Group Data
Queen Mary University, London
In this dataset paper we describe our work on the collection analysis is of public WhatsApp group data. Our primary goal is to explore the feasibility of collecting and using What-App data for social science research. We therefore present a generalisable data collection methodology, and a publicly available dataset for use by other researchers. To provide con-text, we perform statistical exploration to allow researchers to understand what public WhatsApp group data can be collected and how this data can be used. Given the widespread use of WhatsApp, our techniques to obtain public data and potential applications are important for the community.
Direct to Full Text Paper
8 pages; PDF.
Direct to Dataset
Direct to arXiv Entry
WhatsApp Public Groups Can Leave User Data Vulnerable to Scraping (via Venture Beat)
About Gary Price
Gary Price (email@example.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.