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People who write WhatsApp chats can be recognized either by the stories they tell or by the names and places they mention. While we had no way to address the former, we addressed the latter by means of computational linguistics. If you happen to recognize informants based on the remaining information, we ask you to comply with common research ethics and keep that knowledge to yourself.
All first names found are based on freely available reference lists in the respective language. It was then decided to not actually remove first names, but to rotate them, meaning that the name Peter in a chat would not get replaced by e.g. [FirstName], but by e.g. Ferdinand. This procedure has several advantages:
Tests showed, that more than 95% of all first names were found and rotated in this way.
We tried to assign the same sex to the rotated names as to the original one, such as to keep the text readable. Very often, this resulted in good replacements, but some names are gender-neutral. Andrea e.g. is a female name in German but a male one in Italian and Romansh. Alex can be Alexander or Alexandra etc. So you might come across a message, where the male name Andrea was replaced by Olivia. This will result in weird sentences like I saw Olivia yesterday, he wasn't looking well. If you keep in mind that the names were rotated, you will not have a problem realizing that this is a man with a wrongly assigned replacement name.
Only very few last names can in fact be found in the data. It was decided to replace all last names with [LastName].
In order to remove information about phone numbers, bank accounts etc., all numbers with three and more digits where removed and each digit was replaced with one N. Reliability here lies at 100%.
All email addresses were removed and replaced with firstname.lastname@example.org, while keeping the number of characters. email@example.com would therefore become firstname.lastname@example.org, while email@example.com would become firstname.lastname@example.org.
Street addresses were removed and replaced by [StreetAddress].
WWW addresses were kept since they contain information publicly available.
Names of cities were kept because they cannot be considered as private information and because they may be important for the understanding of the text.