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You Can Mute Notifications But You Can't Escape the Algorithm
Social media companies have intentionally designed their products to be addictive to young users; the issue cannot be resolved until the entire architecture of the platforms is overhauled.
Jun 14, 2026
You can mute Instagram stories. You can turn off Snap Maps. You can silence every notification on your phone. But try turning off reels. Try removing your “explore page.” Try turning off your TikTok algorithm.
Social media platforms have spent years perfecting the art of giving users just enough control to feel empowered, but not enough to actually break away. The result is a false sense of autonomy. Psychology Today cites that users used to control their feeds by choosing who to follow and which posts to interact with, but most platforms have shifted to algorithms that prioritize content for users based upon its likelihood of engagement. Consumers now get countless settings to reorganize the surface level features of a structure that cannot be fundamentally changed.
These apps enable endless settings to facilitate an illusion of control, whether that be through settings privacy, hiding like counts, or blocking certain pages. But none of these features are meaningful. They all act as a decoy to prevent change from the much deeper issue.
The features you cannot turn off are the ones that keep you scrolling hour after hour. It is the product of years of behavioral engineering, precisely designed to exploit dopamine loops and addiction to keep account holders in a cycle that generates a feeling of continuous rewards. The ability to scroll infinitely on any platform through videos and suggested posts prevents the natural end that a finite feed would create. As time goes on, algorithms adapt to the users employing them. It understands what will make you excited, enraged, or captivated, all at the expense of your attention span and countless unreturnable hours of your life.
The question isn’t about how to not use social media—it's unavoidable. It’s about if you even have the ability to not use it.
In a landmark case in March of 2026, Meta and Youtube were just found guilty of intentionally addicting young users and damaging their mental health. The juries found them both negligent in the design of their platforms, knowing it was dangerous and failing to appropriately warn of the risks. The companies were required to pay $3 million in compensatory damages, and jurors recommended another $3 million in punitive damages.
This verdict is revolutionary because for the first time, the law has indicated that the design of the apps was the issue, rather than the content or the users. It changes the conversation from blaming consumers for being on social media too much to recognizing these apps are designed to make it impossible to walk away. This trial could set the precedent for the over 1,500 similar cases that have been filed against the companies.
The findings of this case are nothing new. For countless years, tobacco companies sold cigarettes knowing the devices engineered customer addiction, while vehemently denying the harm every step of the way. It's easy to reflect on that chapter of history with clearer vision, but it was difficult to spot in the moment. Now we are living through its modern day counterpart.
The difference in these cases is that purchasing cigarettes takes explicit effort, but social media follows you everywhere you go. It’s in your pocket, it’s with you at school, in the office; no place is out of reach and no moment is off-limits. There is no social media equivalent of a “no smoking zone” or too inappropriate of a place to check your phone. It is a socially enabled addiction with no guardrails to limit engagement.
The question isn’t about how to not use social media—it's unavoidable. It’s about if you even have the ability to not use it. When the entire algorithm is designed to keep you from clicking away, and keep the app gaining revenue, it’s not about your personal autonomy anymore, it's about the devices keeping you from being able to physically peel yourself away.
Politicians can see this problem too. California AB 2169 would require companies to provide a copy of their personal data, including behavioral profiles and the digital map of online interactions. It also mandates that platforms build a bridge to allow users to sync their friends and interactions to other apps. Michigan's Kids Over Clicks package SB 757-760 goes further to prohibit platforms from using minors' personal data to fuel recommendation algorithms without parental consent, banning manipulative patterns like streaks and reward systems to incentivize continued app usage, and strictly regulating AI companion chatbots that could encourage self-harm or serve as unlicensed therapists.
While these bills make leaps toward restoring user autonomy, none of them actually address social media addiction head-on. Knowing the features these apps use to trap you into endless scrolling is helpful but doesn’t stop the behavior at its core. The option to turn off these privacy settings and default restrictions is still present. The problem isn’t the content on the apps, but the design. We can’t stop at changing the features and restructuring the settings. The issue cannot be resolved until the entire architecture of the platforms is overhauled.
I’ll leave you with this: We already know how the story ends if we do nothing as we have lived it before. So what are we going to do today to write a different ending?
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Bearing Witness in the Age of Generative AI
Pushing back against the assault on verifiable reality is a crucial undertaking in the pursuit of justice.
May 31, 2026
The advent of generative AI has made it even harder to distinguish between what’s real and what isn’t, and also easy to claim what is real is fake. This threatens to undermine the very idea of "evidence," which traditionally has been used to enforce accountability, by fracturing shared, verifiable reality.
For example, in Iran authorities attempted to dismiss protest footage as edited or artificially manufactured after AI was used to enhance long-distance footage of someone confronting the military, effectively turning this doubt into a propaganda weapon. Doubt was also a feature in the aftermath of the recent bombing of a girls' school which killed 168 people—mostly children—in Minab, Iran. And in the midst of an already distorted information ecosystem, methods developed to detect AI fakes are now being weaponized to falsely discredit authentic evidence.
This affirms that the emergence of generative AI is not simply a technological issue, but is creating a visual evidence problem. The consequences are already being felt not only by those chronicling and exposing injustice.
Historically, visual media has been an important tool to document injustice. In South Africa, for instance, a generation of photographers used the camera to challenge the prevailing power structures of apartheid. By exposing the apartheid’s injustices and delegitimizing the system, as well as documenting resistance and everyday life, photographers had a huge impact on the liberation struggle in South Africa. So much so, that the camera would be “seen as an instrument of insurrection” by the apartheid regime, resulting in a ban on foreign journalists and documentary photography.
What would have happened if the apartheid regime had claimed that photographs like Nzima’s were faked or AI generated? Would this have created doubt for the audiences who saw it, impacting international support for South Africa’s liberation struggle?
Although they were not the sole targets of apartheid repression, those photographing or filming were often targeted by the regime. Security forces regularly exposed films, confiscated equipment, conducted raids, and banned publications, as well as people. For example, photographer Sam Nzima was harassed by police and placed under house arrest for months following the publication of his iconic photo of the dying 13-year-old Hector Pieterson who was shot by police during the youth uprising on June 16, 1976. The photo not only fueled the liberation movement within South Africa, but also galvanized stronger international condemnation of apartheid. Apartheid Minister Stoffel Botha even referred to those documenting what was unfolding in the country as "media terrorists."
While there have been attempts to deny or downplay apartheid, including from the now late last apartheid president F. W. de Klerk, systemic denial has not been possible owing to the evidence available. This underscores the role of documentation in defending truth, even if incomplete.
What would have happened if the apartheid regime had claimed that photographs like Nzima’s were faked or AI generated? Would this have created doubt for the audiences who saw it, impacting international support for South Africa’s liberation struggle? Today these questions are not rhetorical, owing to the emergence of generative AI.
To be sure for most of the world, the saying, “The camera never lies” has never been true. Visual media was vital to the Nazi regime's propaganda efforts. Before that, it played “a critical role in propagating colonialist myths about Africa,” with colonial states using photographic imagery to cement white supremacy. It would also become a tool for apartheid in South Africa, used to not only legitimize and validate itself, but to also attempt to shape global perceptions of what was happening in the country.
But the story did not end there. Visual media would also become a tool for liberation movements in South Africa and beyond, because documentation impacts how the world is perceived, meaning is made, and reality is verified.
For example, Human Rights Watch recently used geolocated images to verify the Israeli military’s unlawful use of white phosphorus, a highly reactive chemical which ignites when exposed to oxygen, in residential areas in Lebanon. This offers a pathway for accountability in the future. Similarly, the Syrian Archive, which tracks and preserves videos of war crimes in Syria, has used documentation to pursue accountability for the deadly use of chemical weapons in the country.
Documentation is critical in the pursuit of justice, as well as the need to preserve the past to confirm reality. Not only for these worthy ideals, but also so that those who are left to pick up the pieces know that their experiences of injustices are documented, even in the face of denial and propaganda aimed at persuading people otherwise.
Of course the risks and harms are heightened in conflict situations, which does not need to be inevitable. For example, Meta’s Oversight Board recently called for new rules on how deceptive AI content is managed by the platform to enable users to distinguish between what is real and fake. This follows Meta’s failure to appropriately designate an AI-generated video that purported to show significant damage caused by Iranian soldiers in Haifa, Israel. While the board’s recommendations are not binding, should Meta fail to urgently implement these, it will be yet another example of a platform knowing how to address harms but failing to do so. This must change.
To this end, pushing back against the assault on verifiable reality is a crucial undertaking. This includes protecting people's ability to safely document and preserve their documentation; accessible and effective detection tools, alongside transparency for AI-generated content; and democratic policies, laws, and regulations that center human rights considerations.
As history has repeatedly shown us, secrecy is a shield that protects injustice and emboldens bad actors. So, bearing witness, exposing truth, and insisting on justice remains as important now as it was for South Africa’s liberation movement and beyond— even in the age of generative AI.
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In Leaked Audio, Zuckerberg Tells Meta Workers He's Been Using Them to Train AI Ahead of Mass Layoffs
"AI is a freight train, but the future is not a foregone conclusion," said one engineer, urging his colleagues to sign a petition to stop Meta's use of an AI tracking program. "It’s not too late to pump the brakes."
May 20, 2026
Meta employees reported Wednesday that in the company's offices on the day mass layoffs hit thousands of their colleagues, fliers were taped to walls urging workers to sign a petition in support of stopping the company's new artificial intelligence data tracking program—which CEO Mark Zuckerberg touted late last month as a way for its new AI models to "learn from watching really smart people do things."
A day before about 8,000 Meta employees began receiving emails notifying them that they were being laid off—a process that began in Singapore at 4:00 am local time Wednesday and continued in European and US offices in their respective time zones—the labor-focused media organization More Perfect Union shared a leaked audio file in which Zuckerberg was heard explaining how the AI training program worked.
"The average intelligence of the people who are at this company is significantly higher than the average set of people that you can get to do tasks," said Zuckerberg. "So if we're trying to teach the models coding, for example, then having people internally build tools or solve tasks that help teach the model how to code, we think is going to dramatically increase our model's coding ability faster than what others in the industry have the capability to do, who don't have thousands and thousands of extremely strong engineers at their company."
LEAKED AUDIO: In an all-hands meeting on April 30, Mark Zuckerberg tells employees that he's training AI on them ahead of mass layoffs.
"The AI models learn from watching really smart people do things... The average intelligence of the people who are at this company is… pic.twitter.com/lt9eeJ3cwh
— More Perfect Union (@MorePerfectUS) May 19, 2026
He assured the company's 78,000 employees that "no human is looking at or watching what people are doing on their computers... None of the data is being used for looking at what people are doing or surveillance or performance tracking or anything like that. It's purely just that we are using this to feed a very large amount of content into the AI model so that way it can learn how smart people use computers to accomplish tasks."
Zuckerberg explained how the employees have been used to train the model that could potentially replace many of them days after Meta announced it was planning to lay off about 10% of its workforce as the company invests heavily in AI, spending $125 billion to $145 billion on the technology—more than double what it spent last year.
The New York Times reported earlier this month that employees "revolted" when they learned about the AI tracking program, and expressed fears that they had unknowingly been training a model that would ultimately replace them.
An engineering manager asked on the company's internal communication platform how workers can opt out of having their computer activity monitored to train the AI model, only to be told by chief technology officer Andrew Bosworth, "There is no option to opt out on your corporate laptop."
Another employee told Bosworth, “Your callousness to the concerns of your own employees is concerning."
On Monday, The New York Times reported, employees learned that in addition to the layoffs, another 7,000 workers will be reassigned to help develop AI tools.
About 2,000 employees began working this month on a new Applied AI and Engineering team, which is set to use the data gathered by the AI tracking program Zuckerberg described to build AI tools. Those who volunteered to join the group would not be included in this week's layoffs, the Times reported.
"Every company is training AI on their employees," said Chen Avnery, an independent adviser on AI governance and data platforms. "Meta just said it out loud. The question stopped being, 'Will AI replace you?' a year ago. Now it's whether you're building the agents or generating their training data."
More than 1,000 people in the company have signed the petition calling to halt the AI data program, according to the newspaper.
Software engineer Mack Ward urged his colleagues to sign on earlier this month, telling them in an internal post that "AI is a freight train, but the future is not a foregone conclusion."
"It’s not too late to pump the brakes and consider how we, society, want to go about this,” Ward said. “Speaking up is never easy, but ‘easy’ isn’t what you were hired to do.”
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