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Writer's pictureRahsaan Guyon

Data Laws, Algorithms, and Your Data

Updated: Mar 17




In today's digital age, everything we do leaves behind a bit of data. More than just information; it's a currency in the vast economy of the internet. Understanding how this data is protected and used under different regulations is critical to becoming an empowered member of the data economy. 


Understanding Personal Data Under GDPR and U.S. Consumer Privacy Laws:


By now, everyone has had to click through those boxes to reject or accept cookies when visiting a site. That process is thanks to the European Union’s GDPR. General Data Protection Regulation (GDPR) brought a significant shift in the digital landscape when it came into effect in May 2018. Designed to protect EU citizens' personal data, GDPR introduced new rights for individuals and set a new standard in personal data protection. In contrast, the United States approaches data privacy through a patchwork of state-specific laws,  the majority of them going into effect in 2023.  The Federal Trade Commission (FTC) plays a pivotal role in enforcement but the lack of a unified federal law leaves gaps in user protection.


U.S. State Laws and Their Effective Dates:


1. California: CCPA effective Jan. 1, 2020; CPRA fully operative Jan. 1, 2023.

2. Colorado: Colorado Privacy Act effective July 1, 2023.

3. Connecticut: Connecticut Data Privacy Act effective July 1, 2023.

4. Utah: Utah Consumer Privacy Act effective Dec. 31, 2023.

5. Virginia: Consumer Data Protection Act effective Jan. 1, 2023.


The Impact of Data Collection Practices:


Platforms like Meta (formerly Facebook) and Twitter have mastered using powerful algorithms to analyze user data, driving both engagement and ad revenue. This method, while effective for business, raises concerns about predatory advertising and user autonomy. For example, the Cambridge Analytica scandal highlighted how personal data could be used to manipulate user behavior and threaten the very idea of democracy in the western world . 



- Identifiable: Names, addresses, ID numbers.

- Web : Email addresses, IP addresses, cookies, device IDs.

- Health and Genetic : Medical records, biometric data.

- Biographical : Date of birth, marital status, nationality.

- Location : GPS data, location tracking.

- Financial : Bank details, credit history.

- Social : Information on cultural, social, or religious identity.


The Ramifications of Regulation:


Since the implementation of GDPR, there has been a noticeable shift in how companies handle user data. In 2022, GDPR fines reached a staggering $2.92 billion. A notable response to these evolving privacy laws is Meta's move towards an ad-free subscription model in Europe. An incredibly interesting move because it  indirectly places a tangible value on user data. It's well known a large proportion of Meta's revenue comes from ads. Billions of dollars worth of ads. So, subscription fees being set at 10 euros ($10.60) for desktop and 13 euros ($13.78) for mobile access poses interesting questions. Is the subscription model enough to stay in line with Meta’s historic performance. How’d they quantify the worth of the subscription? And more importantly, are people willing to pay for things that have always been free to secure their privacy? A lot of people complain about invasive data practices and targeted advertisements yet platforms like Meta still have millions of users. 


Future of Data Privacy:


Increasingly the public must contemplate the value of user data. The concept of paying for privacy may become more prevalent. Imagine a scenario where all the currently free services like TikTok and Pinterest switch to a payment for privacy model. Would it work? Is it the only solution? We don't think it is. Going Ghost envisions a data ecosystem where users have ownership of their data and receive full transparency in how it gets used.  Rather than merely receiving improved advertisements, users would receive tangible benefit for the contributions their data makes to a business's bottom line. Whether that benefit be discounts or dollars in their pockets, we believe users deserve an equitable piece of the piece. That is the data economy. That is the future.

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