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The numbers of our MAUs and DAUs and average revenue per user (ARPU) are calculated using internal
company data. While these numbers are based on what we believe to be reasonable estimates of our user
base for the applicable period of measurement, there are inherent challenges in measuring usage of our
products across large online and mobile populations around the world. For example, there may be
individuals who maintain one or more Facebook accounts in violation of our terms of service, despite our
efforts to detect and suppress such behavior. We estimate that “duplicate” accounts (an account that a
user maintains in addition to his or her principal account) may have represented approximately 4.8% of
our worldwide MAUs as of June 30, 2012. We also seek to identify “false” accounts, which we divide into
two categories: (1) user-misclassified accounts, where users have created personal profiles for a
business, organization, or non-human entity such as a pet (such entities are permitted on Facebook using
a Page rather than a personal profile under our terms of service); and (2) undesirable accounts, which
represent user profiles that we determine are intended to be used for purposes that violate our terms of
service, such as spamming. As of June 30, 2012, we estimate user-misclassified accounts may have
represented approximately 2.4% of our worldwide MAUs and undesirable accounts may have represented
approximately 1.5% of our worldwide MAUs. We believe the percentage of accounts that are duplicate or
false is meaningfully lower in developed markets such as the United States or Australia and higher in
developing markets such as Indonesia and Turkey. However, these estimates are based on an internal
review of a limited sample of accounts and we apply significant judgment in making this determination,
such as identifying names that appear to be fake or other behavior that appears inauthentic to the
reviewers. As such, our estimation of duplicate or false accounts may not accurately represent the actual
number of such accounts. We are continually seeking to improve our ability to identify duplicate or false
accounts and estimate the total number of such accounts, and such estimates may be affected by
improvements or changes in our methodology.