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Date:
October 29, 2021

Squid Game: How Culture Impacts Viewer Experiences

We generally don't write about specific shows unless something really goes wrong on the culture and localization side of things and highlights problems content creators may face when preparing for international release. Netflix's latest global hit, the South Korean title "Squid Game," falls squarely into this category for three reasons. First, it demonstrates the impact social media has on the public perception of a title. Second, it highlights how translations can tell a very different story in subs and dubs than in the native language. Finally, it points out how complex the localization process is and the sacrifices that are sometimes made to get a title released.

No one is shocked these days when social media "influencers" light the internet on fire with criticism. What surprises people is how soon it comes and from which direction. "Squid Game" was released on Sept. 17 2021, and within days people fluent in native Korean started posting about translation and cultural issues . One of the first to gain significant attention was a TikTok post by Youngmi Mayer , in which she describes the problems she found in the film's English closed captions in episode 6, "Gganbu." So far, Mayer's video has been watched 2.9 million times.

Mayer's concerns have been challenged as unfair because she watched the English Closed Captions instead of the English subtitles, which tend to be closer to the script. Closed captions are based upon the audio dub, which can be reduced or altered to match the character's lip movements. Here are two examples using Mayer's original post as the source.

Mayer Korean dialogue (:30): "What are you looking at?"

English Closed Caption translation: "Go Away!"

English subtitle: "What are you looking at?"

English audio dub: "Go away!"

Here's another example:

Mayer Korean dialogue (6:00): "I'm very smart, I just never got the chance to study."

English Closed Caption translation: "I'm not a genius, but I still got it work out. Huh?"

English subtitle: "I never bothered to study, but I'm insanely savvy."

English audio dub: "I'm not a genius, but I've still got it where it counts!"

There are both consistencies and inconsistencies across translations, and it's easy to see how a non-native speaker could experience a storyline that has deviated from the original depending upon whether they use subtitles, closed captions, dubbed audio, or a combination of any two. The differences in the second example could be due to carelessness or mishearing what is being said. "Work out" sort of sounds like "where it counts" if you say it fast enough. But if someone doesn't have the English audio dub playing while they watch the film, how would they know the difference? The reality is they wouldn't know, which could lead to the kind of confusion or misinterpretation Mayer and others discuss.

The extent to which this happens varies across titles. In the case of "Squid Game," some people believe it has impacted the story significantly; and from these two examples, we can see why. But the general public won't understand the process for creating subs and dubs and how they can contribute to inconsistencies or the appearance thereof.

The woman who voiced the character Han Mi-Nyeo, Stephanie Komure, responded on Twitter , stating, "I'm the dub actress for Mi-Neyo, so I was in the studio when this changed. She was tough to dub because her expressions/mouth movements are so huge & up close, & things had to change to fit flaps. It's a balancing act." Ms. Komure indirectly refers to the linguistic, cultural, and visual issues encountered during localization. Linguistic in that some words and phrases are conveyed with fewer words than in other languages. Cultural in that is making sure the context is represented in words spoken and visual because the objective is to have the spoken words match as close as possible, as Komure mentions, to the movement of the actor's mouth. It is a "balancing act," and there are bound to be misunderstandings.

The immense number of TikTok views alone has raised public awareness of the importance and significance of localization. This likely means there will be a race with future foreign-language titles to identify similar problems, throw shade on the platform, and earn millions of views. Content companies should expect this to happen from now on. Awareness of a problem is the best way to begin working on ways to solve it.

Quality control for subs and dubs has always depended on the company and the budget. If anything forces content companies to eliminate these differences, it will be to insist upon better coordination and consistency between actual dialogue, subs, dubs and closed captions. No content company wants these types of problems to occur. They want all localizations to be consistent with the dialogue; but as "Squid Game" shows, it's easier said than done.

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Spherex CEO Teresa Phillips Talks Practical AI for Global Content Localization at EnTech Fest

At this year’s DEG EnTech Fest, Spherex CEO and Co-Founder Teresa Phillips joined a panel to explore one of the most practical and impactful uses of AI in entertainment today: localization.

During the session titled “Practical AI For Speed and Savings in Localization,” Phillips shared how Spherex is leveraging AI to deliver “deep video understanding” that accelerates compliance and rating decisions in over 200 markets. As she explained, understanding the context—cultural, visual, and narrative—is crucial in determining whether a piece of content is suitable for audiences worldwide.

“AI can now detect not just what happens in a scene, but how it might be interpreted in different cultural and regulatory environments,” said Phillips. For example, in Scandinavian countries, if a trusted figure, such as a clergy member, commits an unethical act onscreen, it can dramatically impact a film’s age rating. SpherexAI is trained to identify these nuanced moments, flagging them for human review when needed.

Phillips also highlighted the role of AI in augmenting human decision-making, noting that “AI agents can be trained to ask humans the right questions—like whether the drinking in a scene is casual or excessive—ensuring more consistent, scalable evaluations.”

The conversation also acknowledged the broader industry shift that AI is bringing to localization workflows—from quality control (QC) to artwork generation, compliance, and project management. With automation poised to displace some entry-level roles, Phillips raised a key question for the future: “If junior roles are the first to be automated, how do we bring new talent into the industry? We have a responsibility in our organizations to create opportunities for the next generation.”

Joining Phillips on the panel were Silviu Epure (Blu Digital Group), Chris Carey (Iyuno), Kelly Summers (The Sherlock Company), and Duncan Wain (Zoo Digital), offering a 360° view on how AI is transforming the way stories cross borders.

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Why Content Differentiation Matters More Than Ever

In today’s fragmented global media landscape, a one-size-fits-all approach no longer works. Media companies face increasing pressure to tailor their content strategies to suit diverse regulatory standards, cultural norms, and viewer expectations.To thrive, they must adopt a new mindset—content differentiation—as both a business imperative and a competitive advantage.

What Is Content Differentiation?

Content differentiation is the strategic process of customizing how media is packaged, presented, and monetized based on the context in which it is distributed. Unlike basic content localization, which focuses mainly on language and format adjustments, content differentiation goes deeper. It aligns content with the regulatory, cultural, and commercial realities of each market, platform, and audience.

The goal is to ensure that content resonates locally while maintaining global scale. Differentiation helps media companies maximize reach, reduce regulatory risk, and improve monetization—all without compromising creative intent.

Why It’s Needed Now
  • Regulatory Complexity: Governments are tightening rules around age ratings, depictions of violence, sexuality, religion, and topics of national interest. These laws vary widely across regions, creating a compliance minefield for global distributors.
  • Cultural Expectations: What works in one market can trigger backlash in another. Cultural nuances—around gender roles, family dynamics, or social taboos—shape how content is perceived and whether it’s embraced or rejected. In many cases, outdated depictions of identity, relationships, or social dynamics can resurface as flashpoints when content is distributed years later in new markets.
  • The Importance of Metadata: Streaming platforms now host massive libraries with considerable overlap in titles across services. In this environment, having accurate, detailed metadata—including production details, talent, , and advanced descriptors—is critical for making content discoverable, marketable, and ultimately profitable. Without it, even high-quality content risks being overlooked.
Meeting the Challenge with SpherexAI

Solving these challenges requires more than manual review or basic tagging—it demands a scalable, intelligent system that understands both the content itself and its contextual significance. That’s where SpherexAI comes in.

SpherexAI is a high-fidelity metadata platform built to help media and entertainment companies implement content differentiation at scale. Using multimodal AI, it analyzes every frame of video—evaluating visuals, audio, dialogue, and on-screen text—to generate rich, actionable metadata that informs compliance decisions, discovery, and monetization.

SpherexAI extends beyond basic content tagging. It analyzes material against global regulatory requirements, identifies cultural nuances and sensitivities, and detects potential risks prior to distribution. Additionally, it enhances content visibility in crowded platform environments by enriching metadata with precise descriptors, scene-level details, emotional tone analysis, and contextual insights—elements that improve content discovery and ad targeting.

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If you're ready to differentiate your content for every audience, platform, and region, SpherexAI can help. Contact us to schedule a demo or speak with our team about how metadata-driven intelligence can power your global strategy.

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NAB 2025 – Recognizing a Changed Industry

Another National Association of Broadcasters (NAB) conference is in the books, and if anything has changed in the media and entertainment industry, the conference and attendees were there to discuss it. From content evolution to changes in audience preferences to AI being everywhere, to trade uncertainty, it was a topic of conversation at NAB 2025. Official categories included: Artificial Intelligence, Cloud Virtualization, Creator Economy, Sports, and Streaming. If a general conclusion could be drawn, it’s that the legacy media business no longer cuts in today’s market, and to survive these new realities, businesses must rethink how they fit in.

Everything Is Changing

One of the biggest takeaways from NAB is the impact the creator economy is having on the industry. Dozens of panels focused on how individuals and small-team productions have upended traditional business models and economics, attracting large audiences from traditional producers while also siphoning away ad revenues and production contracts. Recognizing this trend, hundreds of exhibitors demonstrated how their products or services support all types of creators while also providing benefits to traditional media companies. The NAB also introduced two new initiatives to support this growing sector: the Creator Council and the Creator Lab.

In a keynote session, media cartographer Evan Shapiro highlighted the extent of the shift, pointing out that by 2027, the creator economy is expected to grow to half a trillion dollars, nearly doubling its value from last year ($250 million). Shapiro, recognizing the difference between the creator economy and influencers, cites their effectiveness in attracting and engaging large audiences without having to deal with “gatekeeper-led content.” His final point was that this new reality presents the M&E industry with two options: embrace it or get left behind.

Market and Regulatory Uncertainty

The current uncertainty in global trade markets and the impact of tariffs on product purchases has cast a significant chill on many exhibitors at NAB. This was especially true for those companies whose products were manufactured or included parts from impacted countries or markets (services are not yet subject to tariffs). Many companies encouraged customers to expedite purchases to take advantage of existing inventories and avoid significant cost increases as tariffs are implemented. Attendees and speakers also expressed concerns about how regulatory changes from the FCC and regulators in other countries might impact  children's television programming, the news distortion policy, technical rules (e.g., ATSC 3.0), and TV carriage rules (e.g., non-duplication, and syndicated exclusivity).

Monetization Evolves as Markets Evolve

The continued growth of OTT/FAST and the rapidly expanding creator economy means competition for eyeballs and ads will only become more intense. Evidence of this was on clear display during NAB 2025:

  • Traditional Broadcast Disruption: The rise of streaming services and changing viewer habits are challenging traditional broadcast models, necessitating a reimagining of revenue strategies.
  • Fragmented Audiences: The audience is increasingly fragmented across linear streaming, on-demand platforms, and traditional broadcast, making it more difficult for advertisers to reach consumers effectively.
  • Hybrid Models: Streaming services are increasingly adopting hybrid monetization models, such as AVOD or FAST, to supplement their subscription revenues.

A key component of all of these strategies is high-fidelity metadata. Without it, content marketing, search, and discovery, as well as contextual advertising, are much more difficult to achieve. With it, compliance, brand safety, and audience acceptance increase significantly.

AI Everywhere

Artificial Intelligence (AI) and its increasing impact on content creation, marketing, and virtual production were everywhere at NAB 2025. Nearly 300 exhibiting companies from around the world demonstrated products that included or were enhanced by AI across every phase of content production, marketing, advertising, and distribution. Among them, Spherex highlighted its flagship product, SpherexAI, and demonstrated how it is transforming global video compliance and contextual advertising through scene-level intelligence and cultural insight. It also facilitates ad placement where they will resonate and yield better audience results.

The takeaways from NAB 2025 paint a clear picture: the media and entertainment landscape is in constant flux, demanding adaptability and innovation for survival. The undeniable surge of the creator economy, coupled with market and regulatory uncertainties and the evolving monetization models driven by streaming, presents both challenges and opportunities for traditional and new players. Overlaying all of this is the pervasive influence of artificial intelligence, poised to reshape every facet of the industry.

Ultimately, NAB 2025 underscored a fundamental truth: standing still is no longer an option. The future of media and entertainment belongs to those who embrace change, leverage new technologies, and understand the shifting dynamics of both content creation and audience engagement.

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