social media addiction – Social Media Legality

In today’s digital world, the question is no longer if minors use social media but how they use it.

Social media platforms don’t just host young users, they shape their experiences through algorithmic feeds and “addictive” design features that keep kids scrolling long after bedtime. As the mental health toll becomes increasingly clear, lawmakers are stepping in to limit how much control these platforms have over young minds.

What is an “addictive” feed and why target it?

Algorithms don’t just show content, they promote it. By tracking what users click, watch, or like, these feeds are designed to keep attention flowing. For minors, that means endless scrolling and constant engagement which typically is at the expense of sleep, focus, and self-esteem.

Under New York’s Stop Addictive Feeds Exploitation (SAFE) for Kids Act, lawmakers found that:

“social media companies have created feeds designed to keep minors scrolling for dangerously long periods of time.”

The Act defines an “addictive feed” as one that recommends or prioritizes content based on data linked to the user or their device.

The harms aren’t hypothetical. Studies link heavy social media use among teens with higher rates of depression, anxiety, and sleep disruption. Platforms often push notifications late at night or during school hours. Times when young users are most vulnerable.

Features like autoplay, for you page, endless “you may also like” suggestions, and quick likes or comments can trap kids in an endless scroll. What begins as fun and harmless entertainment soon becomes a routine they struggle to escape.

Key Developments in Legislation

It’s no surprise that minors exposure to social media algorithms sits at the center of today’s policy debates. Over the past two years, state and federal lawmakers have introduced laws seeking to rein in the “addictive” design features of online platforms. While many of these measures face ongoing rule making or constitutional challenges, together they signal a national shift toward stronger regulations of social media’s impact on youth.

Let’s take a closer look at some of the major legal developments shaping this issue.

New York’s SAFE for Kids Act

New York’s Stop Addictive Feeds Exploitation (SAFE) for Kids Act represents one of the nation’s most ambitious efforts to regulate algorithmic feeds. The law prohibits platforms from providing “addictive feeds” to users under 18 unless the platform obtains verifiable parental consent or reasonably determines that the user is not a minor. It also bans push notifications and advertisements tied to those feeds between 12 a.m. and 6 a.m. unless parents explicitly consent. The rule making process remains ongoing, and enforcement will likely begin once these standards are finalized.

The Kids Off Social Media Act (KOSMA)

At the federal level, the Kids Off Social Media Act (KOSMA) seeks to create national baselines for youth protections online. Reintroduced to Congress, the bill would:

Ban social media accounts for children under 13.
Prohibit algorithmic recommendation systems for users under 17.
Restrict social media access in schools during instructional hours.

Supporters argue the bill is necessary to counteract the addictive nature of social media design. Critics, including digital rights advocates, question whether such sweeping restrictions could survive First Amendment scrutiny or prove enforceable at scale.

KOSMA remains pending in Congress but continues to shape the national conversation about youth and online safety.

California’s SB 976

California’s Protecting Our Kids from Social Media Addiction Act (SB 976) reflects a growing trend of regulating design features rather than content. The law requires platforms to:

Obtain parental consent before delivering addictive feeds to minors.
Mute notifications for minors between midnight and 6 a.m. and during school hours unless parents opt in.

The statute is currently under legal challenge for potential First Amendment violations, however, the Ninth Circuit allowed enforcement of key provisions to proceed suggesting that narrowly tailored design regulations aimed at protecting minors may survive early constitutional scrutiny.

Other State Efforts

Other states are following suit. According to the National Conference of State Legislatures (NCSL), at least 13 states have passed or proposed laws requiring age verification, parental consent, or restrictions on algorithmic recommendations for minors. Mississippi’s HB 1126, for example, requires both age verification and parental consent, and the U.S. Supreme Court allowed the law to remain in effect while litigation continues.

Final Thoughts

We are at a pivotal moment. The era when children’s digital consumption went largely unregulated is coming to an end. The question now isn’t if regulation is on the horizon, it’s how it will take shape, and whether it can strike the right balance between safety, free expression, and innovation.

As lawmakers, parents, and platforms navigate this evolving landscape, one challenge remains constant: ensuring that efforts to protect minors from harmful algorithmic design do not come at the expense of their ability to connect, learn, and express themselves online.

What do you think is the right balance between protecting minors from harmful algorithmic exposure and preserving their access to social media as a space for connection and expression?

What is an algorithm and why does it matter?

Social media algorithms are intricately designed data organization systems aimed at maximizing user engagement by sorting and delivering content tailored to individual preferences. At their core, social media algorithms collect and subsequently use extensive user data, employing machine learning techniques to better understand and predict user behavior. Social media algorithms note and analyze hundreds of thousands of data points, including past interactions, likes, shares, content preferences, time spent viewing content, and social connections to curate a personalized feed for each user. Social media algorithms are designed this way to keep users on the site, thus giving the site more time to put advertisements on the user’s feed and drive more profits for the social media site in question. The fundamental objective of an algorithm is to capture and maintain user attention, expose the user to an optimal amount of advertisements, and use data from users to curate their feed to keep them engaged for longer.

Addiction comes in many forms

One key element contributing to the addictiveness of social media is the concept of variable rewards. Algorithms strategically present a mix of content, varying in type and engagement level, to keep users interested in their feed. This unpredictability taps into the psychological principle of operant conditioning, where intermittent reinforcement, such as receiving likes, comments, or discovering new content, reinforces habitual platform use. Every time a user sees an entertaining post or receives a positive notification, the brain releases dopamine, the main chemical associated with addiction and addictive behaviors. The constant stream of notifications and updates, fueled by algorithmic insights and carefully tailored content suggestions, can create a sense of anticipation in users for their next dopamine fix, which encourages users to frequently update and scan their feeds to receive the next ‘reward’ on their timeline. The algorithmic and numbers-driven emphasis on user engagement metrics, such as the amount of likes, comments, and shares on a post, further intensifies the competitive and social nature of social media platforms, promoting frequent use.

Algorithms know you too well

Furthermore, algorithms continuously adapt to user behavior through real-time machine learning. As users engage with content, algorithms will analyze and refine their predictions, ensuring that the content remains compelling and relevant to the user over time. This iterative feedback loop further deepens the platform’s understanding of individual users, creating a specially curated and highly addictive feed that the user can always turn to for a boost of dopamine. This heightened social aspect, coupled with the algorithms’ ability to surface content that resonates deeply with the user, enhances the emotional connection users feel to the platform and their specific feed, which keeps users coming back time after time. Whether it be from seeing a new, dopamine-producing post, or posting a status that receives many likes and shares, every time one opens a social media app or website, it can produce seemingly endless new content, further reinforcing regular, and often unhealthy use.

A fine line to tread

As explained above, social media algorithms are key to user engagement. They are able to provide seemingly endless bouts of personalized content and maintain users’ undivided attention through their ability to understand the user and the user’s preferences in content. This pervasive influence extends to children, who are increasingly immersed in digital environments from an early age. Social media algorithms can offer constructive experiences for children by promoting educational content discovery, creativity, and social connectivity that would otherwise be impossible without a social media platform. Some platforms, like YouTube Kids, leverage algorithms to recommend age-appropriate content tailored to a child’s developmental stage. This personalized curation of interest-based content can enhance learning outcomes and produce a beneficial online experience for children. However, while being exposed to age-appropriate content may not harm the child viewers, it can still cause problems related to content addiction.

‘Protected Development’

Children are generally known to be naïve and impressionable, meaning full access to the internet can be harmful for their development, as they may take anything they see at face value. The American Psychological Association has said that, “[d]uring adolescent development, brain regions associated with the desire for attention, feedback, and reinforcement from peers become more sensitive. Meanwhile, the brain regions involved in self-control have not fully matured.” Social media algorithms play a pivotal role in shaping the content children can encounter by prioritizing engagement metrics such as likes, comments, and shares. In doing this, social media sites create an almost gamified experience that encourages frequent and prolonged use amongst children. Children also have a tendency to intensely fixate on certain activities, interests, or characters during their early development, further increasing the chances of being addicted to their feed.

Additionally, the addictive nature of social media algorithms poses significant risks to children’s physical and mental well-being. The constant stream of personalized content, notifications, and variable rewards can contribute to excessive screen time, impacting sleep patterns and physical health. Likewise, the competitive nature of engagement metrics may result in a sense of inadequacy or social pressure among young users, leading to issues such as cyberbullying, depression, low self-esteem, and anxiety.

Stop Addictive Feeds Exploitation (SAFE) for Kids

The New York legislature has spotted the anemic state of internet protection for children and identified the rising mental health issues relating to social media in the youth. Announced their intentions at passing laws to better protect kids online. The Stop Addictive Feeds Exploitation (SAFE) for Kids Act is aimed explicitly at social media companies and their feed-bolstering algorithms. The SAFE for Kids Act is intended to “protect the mental health of children from addictive feeds used by social media platforms, and from disrupted sleep due to night-time use of social media.”

Section 1501 of The Act would essentially prohibit operators of social media sites from providing addictive, algorithm-based feeds to minors without first obtaining parental permission. Instead the default feed on the program would be a chronologically sorted main timeline, one more popular in the infancy of social media sites. Section 1502 of The Act would also require social media platforms to obtain parental consent before allowing notifications between the hours of 12:00 AM and 6:00 AM and creates an avenue for opting out of access to the platform between the same hours. The Act would also provide a limit on the overall number of hours a minor can spend on a social media platform. Additionally, the Act would authorize the Office of the Attorney General to bring a legal action to enjoin or seek damages/civil penalties of up to $5,000 per violation and allow any parent/guardian of a covered minor to sue for damages of up to $5,000 per user per incident, or actual damages, whichever is greater.

A sign of the times

The Act accurately represents the growing concerns of the public in its justification section, where it details many of the above referenced problems with social media algorithms and the State’s role in curtailing the well-known negative effects they can have on a protected class. The New York legislature has identified the problems that social media addiction can present, and have taken necessary steps in an attempt to curtail it.

Social media algorithms will always play an intricate role in shaping user experiences. However, their addictive nature should rightfully subject them to scrutiny, especially in their effects among children. While social media algorithms offer personalized content and can produce constructive experiences, their addictive nature poses significant risks, prompting legislative responses like the Stop Addictive Feeds Exploitation (SAFE) for Kids Act. Considering the profound impact of these algorithms on young users’ physical and mental well-being, a critical question arises: How can we effectively balance the benefits of algorithm-driven engagement with the importance of protecting children from potential harm in the ever evolving digital landscape? The SAFE for Kids Act is a step in the right direction, inspiring critical reflection on the broader responsibility of parents and regulatory bodies to cultivate a digital environment that nurtures healthy online experiences for the next generation.