- Have you been using WhatsApp over the past year on a daily basis?
- Are you concerned about getting accurate coronavirus information?
- Are you 18 years or older?
- Are you based in the United States?
If so, we would like to invite you to participate in a research study jointly conducted by the University of Chicago and Princeton University!
What is this study about?
We want to learn what information you have been encountered on WhatsApp. We hope to develop measures to combat against misleading content on WhatsApp, particularly through private messages. By providing your input, you can help us build better, more reliable systems.
What do I have to do to participate?
- Complete a survey on your demographics and WhatsApp usage that should take no more than 10 minutes.
- Participate in a 30-45 minute interview through a video conferencing platform such as Zoom.
- During the Zoom call, we will ask you to download our app (Android/iOS) and share URLs only from 5 of your WhatsApp chats through our app. All sensitive data is removed from these chats, so you will not be sharing your private information. Here is an example of URLs extracted from WhatsApp and the file we receive when you use our app. We will walk you through this process.
- You can learn more about our app here.
I’d like to participate. How can I sign up?
- To participate in this study, fill out our contact form and we will be in touch to arrange a time to speak with you.
- We will let you know if you are selected for the process within 3-4 business days. Thank you for your time!
What do I get out of it?
- You will receive a link to a $15 Amazon gift card upon completing the questionnaire and virtual interview.
- You will have the chance to learn more about the potential issues revolving around false or misleading information in WhatsApp.
- With your help, we will use your chats, input, and experiences to develop tools that combat misleading information for WhatsApp users such as yourself.
Research team
Marshini Chetty, University of Chicago
Archie Brohn, University of Chicago
Jason Chee, University of Chicago
Kevin Feng, Princeton University
Kevin Song, University of Chicago
Mirror Li, University of Chicago
Oishee Chakrabarti, University of Chicago