WhatsAnalyzer

Who posts the most messages in your WhatsApp chats? Who sends photos most frequently? And who always wants to have the final say?

Find out!

Select a chat, send it to whatsanalyzer@uni-wuerzburg.de via email and you're done. Your data are stored exclusively in anonymized form and only you will know who is who. By sending your chat, you not only get exciting statistics, but also help to advance science. WhatsAnalyzer supports english, german, italian and spanish. If your phone uses another system language you have to change it in the system settings before sending the mail.

Step 1

Open a chat and click on the menu button at the top right. Then select More, choose Email chat and click WITHOUT MEDIA.

Step 2

Send the email to
whatsanalyzer@uni- wuerzburg.de.
We will anonymize your chat immediately.

Step 3

After only a few minutes you get an email with a link to your analysis. Just click on it and you can see the statistics.

Step 1

Open the chat that you want to analyze, click on the group name in the navigation bar and scroll down. Click on EMAIL CHAT and then choose WITHOUT MEDIA.

Step 2

Send the email to
whatsanalyzer@uni- wuerzburg.de.
We will anonymize your chat immediately.

Step 3

After only a few minutes you get an email with a link to your analysis. Just click on it and you can see the statistics.

Who sends how many messages?

Who posts the most nonsense?

How many messages were sent in my WhatsApp chat, who sends the most photos and which day of week is most popular for posting?

You are incredibly interested in these issue? Just send the chat to whatsanalyzer@uni-wuerzburg.de and you will get a link to your statistics. Your private data is not stored, since we anonymize your chats immediately. For more details, see the FAQs.

And by the way, you help science!

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 send, 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.

How many messages were sent on each day?

WhatsAnalyzer

It's that easy:
You are just a few steps away from your analysis

Step 1

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Step 3

Step 1

Step 2

Step 3

About WhatsAnalyzer

Who posts the most nonsense?

And by the way, you help science!

WhatsAnalyzer

It's that easy: You are just a few steps away from your analysis

Step 1

Step 2

Step 3

Step 1

Step 2

Step 3

About WhatsAnalyzer

Who posts the most nonsense?

And by the way, you help science!

It's that easy:
You are just a few steps away from your analysis