To see your Facebook digital footprint, you can follow these steps:

1. Log in to your Facebook account: Visit the Facebook website (www.facebook.com) or open the Facebook app on your mobile device. Enter your login credentials (email/phone number and password) to access your account.

2. Access your Facebook settings: On the Facebook website, click on the small arrow located in the top right corner of the page. In the drop-down menu, select "Settings & Privacy" and then click on "Settings." On the Facebook app, tap on the three horizontal lines in the bottom right corner, scroll down, and select "Settings & Privacy." From there, choose "Settings."

3. Explore your activity information: In the settings menu, you'll find various options. Look for sections such as "Privacy" or "Your Facebook Information." Click or tap on these sections to explore the available options.

4. View your activity history: Within the "Privacy" or "Your Facebook Information" sections, you should find options to view your activity history. This may include your posts, likes, comments, searches, and other interactions on Facebook. You may also have the option to download a copy of your Facebook data, which will provide more detailed information about your digital footprint.

5. Customize your privacy settings: While reviewing your digital footprint, you might want to adjust your privacy settings to control what information is visible to others or to limit the data collected about you. Explore the privacy options available in the settings menu and adjust them according to your preferences.

Michal Kosinski is a data scientist and cofounder at Gyfted who’s gained prominence for his work on using digital footprints to predict and analyze personality traits. In 2013, Kosinski, along with David Stillwell, conducted a study that involved the "My Personality" Facebook app, which allowed users to take various psychometric tests and receive feedback on their personality traits. The app collected and analyzed users' Facebook data, including their likes and preferences, to make predictions about their personality characteristics. It used a machine learning algorithm to match the data patterns with known psychological profiles. The results of the study, published in the Proceedings of the National Academy of Sciences (PNAS), claimed that by analyzing Facebook likes, the app could accurately predict a wide range of personal attributes, such as political beliefs, sexual orientation, personality traits, and intelligence. Kosinski's work warned about privacy and the potential misuse of personal data. The study highlighted how seemingly innocuous information, such as Facebook likes, could be used to infer sensitive personal information. It brought attention to the ethical implications of data analytics and prompted discussions about the responsibility of both users and platforms in protecting privacy. Since this 2013 study the landscape of data privacy and ethical considerations has evolved and Facebook has implemented stricter policies and limitations on third-party app access to user data. Kosinski's work served as a wake-up call regarding privacy and data analytics, leading to broader conversations about data protection and the responsible use of personal information in the digital age.