The security of your data is very important to us. Therefore, your chat is automatically anonymized before the analysis. The names of the participants of the chat as well as the group names are replaced by pseudonyms (e.g. User1, Group3, ...). Furthermore, the content of every message is deleted and only the number of sent characters and emojies and the transmission time is stored. Thus, your privacy, as well as the privacy of your friends, is protected.
To make sure you still know which pseudonym corresponds to who in the analysis, you can download a file with the assignment. For this, a window opens before you can see the analysis. The assignment is only saved in your browser.
In the last decade, smartphones have become increasingly popular all over the world. Due to this development, the number of people using mobile messaging apps like WhatsApp increased considerably. Today, not only text messages can be sent, but also voice messages, videos, or location details. This puts a lot of load on mobile networks. To efficiently handle this traffic and provide a proper management of the cellular resources, it is necessary to understand how mobile messaging applications are used.
This project was started to find out how people communicate via WhatsApp. We want to statistically evaluate the anonymized chats and in this way develop new models for communication traffic. The more chat histories are collected, the more meaningful our research results will be.