Data & Privacy
- Data Act
- Data Governance Act
- ePrivacy Directive
- GDPR
AI & Trust
- Artificial Intelligence Act
Cybersecurity
- Cybersecurity Act
- DORA
- NIS2
Digital Services & Media
- Digital Markets Act
- Digital Services Act
- European Media Freedom Act
Digital Markets Act
- Recitals
CHAPTER I
SUBJECT MATTER, SCOPE AND DEFINITIONSArticles 1 — 2
CHAPTER II
GATEKEEPERSArticles 3 — 4
CHAPTER III
PRACTICES OF GATEKEEPERS THAT LIMIT CONTESTABILITY OR ARE UNFAIRArticles 5 — 15
CHAPTER IV
MARKET INVESTIGATIONArticles 16 — 19
CHAPTER V
INVESTIGATIVE, ENFORCEMENT AND MONITORING POWERSArticles 20 — 43
CHAPTER VI
FINAL PROVISIONSArticles 44 — 54
ANNEXES
Annex B. Active end users
- 1.
The number of ‘unique users’ as regards ‘active end users’ shall be identified according to the most accurate metric reported by the undertaking providing any of the core platform services, specifically:
- (a)
It is considered that collecting data about the use of core platform services from signed-in or logged-in environments would prima facie present the lowest risk of duplication, for example in relation to user behaviour across devices or platforms. Hence, the undertaking shall submit aggregate anonymized data on the number of unique end users per respective core platform service based on signed-in or logged-in environments, if such data exists.
- (b)
In the case of core platform services which are also accessed by end users outside signed-in or logged-in environments, the undertaking shall additionally submit aggregate anonymized data on the number of unique end users of the respective core platform service based on an alternate metric capturing also end users outside signed-in or logged-in environments, such as internet protocol addresses, cookie identifiers or other identifiers such as radio frequency identification tags, provided that those addresses or identifiers are objectively necessary for the provision of the core platform services.
- 2.
The number of ‘monthly active end users’ is based on the average number of monthly active end users throughout the largest part of the financial year. The notion ‘the largest part of the financial year’ is intended to allow an undertaking providing core platform services to discount outlier figures in a given year. Outlier figures inherently mean figures that fall significantly outside the normal and foreseeable figures. An unforeseen peak or drop in user engagement that occurred during a single month of the financial year is an example of what could constitute such outlier figures. Figures related to annually recurring occurrences, such as annual sales promotions, are not outlier figures.