The challenge of curbing disinformation in our modern digital landscape is far more complex than simply correcting false statements; it is deeply woven into the structural, economic, and social fabric of the internet. As Nakayama points out, one of the primary roadblocks is the wall built around data by major social media platforms. Because these platforms operate on proprietary business models, the data required to track the origins and spread of disinformation is often guarded as a trade secret. While regions like the EU are attempting to mandate more transparency through new regulations, the reality for most researchers is that the doors remain firmly locked. This data asymmetry creates a significant hurdle: we are trying to solve a problem without being able to see its full anatomy, and as long as platform operators prioritize protecting their commercial interests over public transparency, the fight against misinformation will remain an uphill battle.
Adding to the complexity is the fragmented nature of how information moves through the “transmission layers” of the internet. In an era where news is rarely consumed in its original form, every time a piece of information is passed from a professional newsroom to a social media influencer, and eventually to a summary blog or YouTube video, it risks being stripped of its original context. Fukatsu emphasizes that even the most rigorous fact-checking performed by a legacy newspaper becomes moot if the information is distorted seconds later by a content creator seeking a quick viral moment. Fact-checking, quite unfortunately, is now being pushed to the “browser layer”—the final point of consumption—where the average user is often ill-equipped to undo the layers of distortion that have already occurred.
Tajima and Fukatsu note a painful shift in how we process information today. Decades ago, if you read a newspaper, you received the message as the editor intended it. Today, that direct line of communication has been replaced by a “middleman economy” of news influencers. These intermediaries don’t just read the news; they reprocess it based on their own personal agendas, interpretations, and existing audiences. In the process, the nuanced language of journalism—the carefully chosen words, the subtle questions, and the measured syntax that suggests skepticism—is often gutted. When an influencer turns a nuanced report into a definitive, inflammatory claim, the original truth is effectively transformed into disinformation, even if the person spreading it believes they are simply “summarizing” the news.
This degradation of meaning isn’t always malicious, but it is systemic. As Nakayama observes, disinformation is often the product of human error and the subjective filter of individual interpreters. When a piece of reporting moves from a formal journalist to an influencer, the “why” and “how” of the story are often replaced by a simplified takeaway that fits a specific narrative. By the time that message reaches the end-user, the subtle shades of grey that define credible journalism have been bleached out, replaced by a black-and-white version of reality designed for rapid, thoughtless consumption. It is here that we see how the architecture of current communication channels inherently favors brevity and sensationalism over depth and accuracy.
Perhaps the most cynical driver of this trend is the “attention economy,” where human curiosity is treated as a tradeable commodity. As Fukatsu and Minamizawa discuss, the web media landscape is largely built on a business model where page views dictate revenue. In this environment, truth has no inherent market value, but controversy is incredibly profitable. Because provocative or “stirrable” content generates more likes, shares, and clicks, news outlets and individual creators alike are financially incentivized to maximize engagement rather than verify facts. We have essentially engineered an ecosystem that rewards the spread of misinformation, making it economically dangerous to be slow, careful, and accurate in an industry that demands speed and high-octane emotion.
Ultimately, the spread of disinformation is not just a technological glitch; it is an economic incentive structure that we have collectively chosen to prioritize. When algorithms and advertising models are tuned to favor content that pulls on the user’s heartstrings or biases, we shouldn’t be surprised when nuance dies and misinformation thrives. To truly address this, we must look beyond the content itself and challenge the mechanisms that make ignorance profitable. Until the platforms, the business models, and the transmission layers are forced to value accuracy as much as they currently value “attention,” the distortion of the truth will remain the most efficient way to do business in a digital world.