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Mark Zuckerberg Declares the End of Traditional Social Media

by Harikrishnan A
April 26, 2025
in Business, Markets, News, Tech, Trending, World
Reading Time: 3 mins read
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There was a time when Facebook was the place to catch up with friends, spot relationship updates, or hear about parties you weren’t invited to. Social media was built around real-life connections and personal updates. Fast forward to today, and those personal touches have largely disappeared. Instead, platforms like Facebook and Instagram are now flooded with celebrity promos, political debates, pop culture clips, and a growing flood of AI-generated content. The social side of social media has taken a back seat.

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Mark Zuckerberg, CEO of Meta, acknowledged this transformation while testifying during a major antitrust trial brought by the Federal Trade Commission (FTC) last week. He described how Meta’s focus has shifted towards “entertainment and learning about the world” rather than fostering personal interactions. Internal data backs him up: the time users spend engaging with friends’ posts on Facebook has dropped from 22% to 17%, and on Instagram, from 11% to just 7% over the past two years.

Meta’s Argument: Social Media Has Outgrown Old Definitions

The FTC accuses Meta of illegally building a monopoly in the “personal social networking services” market by acquiring rising competitors like Instagram in 2012 and WhatsApp in 2014. But defining that market has been a tricky business. In fact, an earlier version of this case was thrown out in 2021 because the FTC couldn’t clearly outline what that market even looked like.

Now, Meta’s defense is centered on a simple idea: the traditional concept of social media no longer exists. Instead, they argue, today’s platforms compete across a vast digital landscape that includes TikTok, YouTube, and even Apple’s iMessage—none of which the FTC officially recognizes as competitors. In court, Meta used visuals showing how alike these apps have become: short video formats dominate TikTok and Instagram alike, while messaging interfaces look almost identical across different platforms.

Ironically, while this argument strengthens Meta’s case that it faces stiff competition, it also paints a bleak picture of the digital world: a crowded, homogenized space where creativity often takes a backseat to formulaic content.

A Tough Road Ahead for the FTC

The FTC’s lawsuit, which began during Donald Trump’s first presidency, faces significant hurdles. Trying to undo business deals from a decade ago—when the internet looked very different—is no easy feat. Tech analyst Benedict Evans criticized the FTC’s case, saying the way they define social networks feels “gerrymandered.” He pointed out that by their logic, TikTok isn’t even considered a Facebook competitor—a notion that raises serious questions.

Unlike the government’s current antitrust case against Google, where real financial harm to advertisers was demonstrated, the Meta case is murkier. Facebook, Instagram, and WhatsApp are free for users, so there’s no obvious financial injury. Instead, the FTC claims that Meta’s dominance has reduced innovation and limited consumer choices—claims that are much harder to prove.

Take WhatsApp, for example. When Meta bought it in 2014, it had around 500 million users. Today, it boasts over two billion. Would WhatsApp have grown this much—or even survived—without Meta’s backing? It’s not a given. The app’s original founders preferred a minimal, no-frills platform, while Meta aggressively added features like group chats and video calls that drove its global popularity.

A Revealing Memo from Zuckerberg

One of the most eye-opening moments of Zuckerberg’s testimony came when the FTC revealed a 2018 memo he sent internally. In it, he floated the idea of spinning off Instagram as a separate company, worrying that it was eating into Facebook’s success. He even foresaw potential antitrust pressures that might force such a split.

Had Instagram gone independent then, it might have sparked more innovation—or perhaps the competitive landscape would look much the same. Either way, today’s digital ecosystem is being reshaped by forces that few anticipated, like TikTok’s explosive rise and the growing power of generative AI.

New players are already entering the arena. OpenAI, for instance, is reportedly working on a social network designed to rival Instagram and X (formerly Twitter), hinting at even bigger shifts ahead.

Politics, Global Pressure, and Meta’s Future

Meta’s troubles aren’t confined to U.S. courts. This week, the European Union slapped a €200 million fine on the company for anticompetitive behavior—a hefty sum, but still a drop in the bucket compared to Meta’s revenues.

In America, if the FTC wins, regulators could either push for a full breakup of Meta or opt for softer penalties. But politics could shape the outcome. Zuckerberg has recently made efforts to align more closely with Donald Trump’s administration, visiting the White House and dialing back initiatives like DEI programs and fact-checking.

Still, Trump has remained supportive of the FTC’s antitrust case. His administration has used aggressive threats before—as with ByteDance, the Chinese owner of TikTok—to force deals. It’s not unthinkable that Zuckerberg could be maneuvered into a similar compromise to avoid harsher consequences.

Tags: facebookInstagramMark ZuckerbergMeta
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Aspiring writer. Enjoys gaming, fried chicken and iced tea, preferably all together.

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Engineering teams building market intelligence pipelines frequently deal with rate limits and manipulated pricing data. Target platforms actively manage incoming traffic using security tools like Web Application Firewalls and TLS fingerprinting. Relying on commercial server nodes for data extraction often leads to interrupted sessions. To solve this, businesses are moving their infrastructure toward authentic cellular networks. Using mobile proxy servers allows them to collect accurate, localized web data reliably. TL;DR: Core benefits of mobile proxy servers for data extraction Carrier-grade trust: Mobile networks use CGNAT, masking your automated traffic alongside thousands of real smartphone users, resulting in maximum IP trust scores. Organic IP shifts: Security systems are adapted to mobile networks where IP addresses routinely change across local cell towers. A dynamic IP is completely natural, provided your geographic region and device footprint remain consistent. Dedicated vs. shared hardware: Dedicated modems allow manual IP rotation via API but require a 5 to 10-second pause while the physical hardware reboots. Shared proxies offer fixed-interval rotation without interrupting active users. Maintaining stable access: Premium infrastructures use the VLESS protocol to route proxy connections as standard HTTPS browsing. This helps maintain connections in environments with strict local ISP filtering. Why localized data extraction requires authentic connections Companies extract localized web data to see information exactly as it appears to a regular user in a specific region. Pricing and availability change based on the viewer's location. A consumer searching a travel aggregator from London sees different flight options than a user querying the exact same route from Tokyo. Teams historically built scraping infrastructure on data center IPs. Today, anti-fraud engines maintain strict databases of commercial cloud subnets. When a firewall detects consumer-level requests coming from a corporate server, it ruins the connection's trust score. Real users do not browse from cloud data centers. The target platform simply responds with CAPTCHAs or HTTP 429 errors. How mobile proxy servers maintain stable access To ensure stable data collection, automated traffic needs to match the normal network patterns of genuine human users. Mobile proxy servers accomplish this by routing requests through real 4G LTE or 5G modems equipped with authentic SIM cards. This works through Carrier-Grade NAT (CGNAT). Mobile carriers do not assign a unique public IP to every smartphone. Instead, they push the data streams of thousands of subscribers onto the internet through a single shared IP address. Banning a CGNAT mobile IP means disconnecting hundreds of real retail consumers in that area. To avoid this collateral damage, security engines treat mobile carrier ASNs with extreme leniency, granting them trust scores between 90% and 99%. Infrastructure Type Network Source CGNAT Shielding Average Trust Score Algorithmic WAF Reaction Data Center Commercial Cloud Providers No (1:1 routing) 20% - 40% Immediate block, CAPTCHA, or rate-limit for consumer endpoints. Static Residential Home Internet Providers Rare (Usually 1:1) 70% - 85% Reliable for steady sessions, but flagged during abrupt traffic spikes. Mobile (LTE/5G) Real Cellular Carrier Networks Yes (Thousands to 1) 90% - 99% High tolerance; blocking is mathematically prohibitive due to collateral damage. IP rotation: Why dynamic addresses are natural for mobile proxy servers Many operators believe that keeping a static, unchanging IP address is the only way to maintain a healthy session. They assume an IP rotation during a collection task immediately triggers security algorithms. In reality, the internet is heavily adapted to a mobile-first world. When genuine consumers browse on their smartphones, they commute across a city and experience brief signal drops. These physical events force their hardware to re-authenticate with the network. The mobile carrier then assigns the device a brand-new IP address from the regional pool. Target platforms inherently expect this behavior. Consequently, an IP address changing within the bounds of a specific city or county is not an automatic red flag. What actually triggers anti-fraud systems is inconsistency in the digital footprint. As long as the regional origin and the device identity remain synchronized, the session remains valid. Modern automation relies entirely on consistent device and location profiles rather than rigid IP addresses. Choosing the right mobile proxies: Dedicated vs. Shared hardware When integrating cellular infrastructure into a pipeline, engineering teams must decide between two distinct types of mobile proxies. This choice directly impacts hardware control and session persistence. Dedicated proxies Dedicated mobile proxies provide an operator with exclusive, single-tenant access to a specific physical modem and SIM card. This grants unrestricted bandwidth and absolute programmatic control over the connection. Operators can trigger an IP change precisely when their workflow demands it via an API call integrated directly into their Python or Node.js scripts. Developers need to handle the rotation delay. When the API command executes, the physical modem drops its connection to the local cell tower and renegotiates a new one. This reset takes 5 to 10 seconds. Scripts require deliberate pauses (e.g., time.sleep(10)) during this window. Sending payloads before the modem re-authenticates causes timeout errors. Shared proxies Shared mobile proxies allow multiple independent users to route their traffic through the same physical 5G/LTE modem simultaneously. Because the connection is multiplexed, the IP address on a shared port rotates at a strict, automated interval typically every 5 or 30 minutes. Manual rotation is disabled because resetting the network would drop the connection for everyone sharing the hardware. Shared ports provide cost-effective CGNAT trust for stateless tasks. Shared networks provide excellent, cost-effective CGNAT trust for stateless tasks where session persistence is irrelevant. Handling deep packet inspection with VLESS While mobile proxy servers manage external routing, businesses sometimes face interference from their own local Internet Service Provider (ISP). Some local ISPs use Deep Packet Inspection (DPI) to monitor outbound traffic. Standard proxy protocols have recognizable cryptographic handshakes that DPI systems often restrict. To resolve this, premium mobile infrastructure supports the VLESS protocol. Rather than generating a custom proxy certificate, VLESS borrows the cryptographic signature of a highly trusted, unrelated domain during the TLS handshake. Local DPI tools analyze this outbound data flow and see standard HTTPS web browsing. This allows data teams to work without local network interruptions. Digital identity and environment setup High-trust IP addresses lose their value if a script logs into an account using a flagged VoIP phone number. The same happens if a localized payment uses a card that mismatches the proxy's geographic location. Operators pair dedicated mobile IP connections with clean browser profiles. They use tokenized payment cards matching the proxy's billing region and real residential phone numbers for SMS verifications. Sourcing these components from different providers slows down infrastructure deployment. Platforms like CyberYozh App consolidate these tools. Teams deploy dedicated mobile IPs, issue virtual cards, and rent local ISP numbers from a single ecosystem. Checking the complete setup through a built-in fraud scorer ensures a highly trusted profile before data extraction begins. Real-world application A market intelligence firm monitored retail pricing across European e-commerce platforms using data center proxies. Within days, the target platform recognized the commercial subnets, applied rate limits, and served manipulated HTML. The firm restructured its pipeline. They replaced their data center nodes with CyberYozh dedicated mobile proxies physically located in the target countries. Because the requests originated from genuine 4G/5G mobile gateways shielded by CGNAT, the firewall perceived the traffic as authentic mobile shoppers. The Python script held a single mobile IP for a persistent session, extracting the localized pricing data. Once a geographic sweep was complete, the script fired an API rotation call, paused operations for 10 seconds while the physical modem reset its radio link to the local cell tower, and seamlessly resumed collection on the next batch of URLs. By aligning their geographic footprint and accounting for the physical realities of hardware rotation, the firm restored stable access to their target data. Final thoughts on mobile proxy infrastructure Basic data collection methods struggle against modern traffic analysis. Because international platforms look closely at connection behavior to protect their localized data, relying on commercial server networks often leads to unstable access. Authentic LTE and 5G cellular hardware solves this problem. Carrier-Grade NAT and API rotation align the traffic with natural network behavior. 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