  As mobile app usage continues to rise, so does the generation of extensive
user interaction data, which includes actions such as swiping, zooming, or the
time spent on a screen. Apps often collect a large amount of this data and
claim to anonymize it, yet concerns arise regarding the adequacy of these
measures. In many cases, the so-called anonymized data still has the potential
to profile and, in some instances, re-identify individual users. This situation
is compounded by a lack of transparency, leading to potential breaches of user
trust.
  Our work investigates the gap between privacy policies and actual app
behavior, focusing on the collection and handling of user interaction data. We
analyzed the top 100 apps across diverse categories using static analysis
methods to evaluate the alignment between policy claims and implemented data
collection techniques. Our findings highlight the lack of transparency in data
collection and the associated risk of re-identification, raising concerns about
user privacy and trust. This study emphasizes the importance of clear
communication and enhanced transparency in privacy practices for mobile app
development.
