The lucrative market behind viral fake news
Analysis Summary
This article argues that much of the disinformation spreading online isn’t driven by political agendas, but by the profit that comes from grabbing attention through sensational or frightening content. It uses expert quotes and research data to show how platforms like YouTube and Facebook reward outrage with views and money, pushing creators to make extreme content—even when the creators are anonymous or based overseas. While it highlights the economic system behind fake news, it mostly leaves out how political actors might exploit the same system.
FATE Analysis
Four dimensions of psychological manipulation: how content captures Focus, exploits Authority, triggers Tribal identity, and engineers Emotion.
Focus signals
"In December 2025, French President Emmanuel Macron revealed that an African head of state had contacted him, believing a coup d'état was under way in France."
The article opens with a striking and unexpected claim involving a world leader and a fictional coup, creating immediate novelty and attention capture. While the event is unusual, the framing leverages a 'breaking news'–like quality to draw in readers.
"The network amassed 40 million views."
Highlighting the massive scale of engagement serves to emphasize the viral reach of disinformation, functioning as a novelty spike that captures attention by underscoring the system’s effectiveness at spreading misinformation.
Authority signals
"Carlos Diaz Ruiz, author of 'Market-Oriented Disinformation Research', argues that to better combat fake news, we must view this ecosystem as a market 'rather than an occasional aberration caused by some evil person out there'."
The article cites Carlos Diaz Ruiz by name and references his research, positioning him as an expert. This lends credibility, but the appeal to authority is moderate and within standard journalistic norms. It does not invoke credentials hyperbolically or use the expert status to close debate, but rather to frame the analysis.
"according to a recent report by the SIMODS research project, which tracks online disinformation across major platforms."
The SIMODS report is cited as a source of data. This qualifies as institutional attribution, but since the article reports on the findings rather than leveraging the institution’s authority to shut down alternative interpretations, the score remains low.
Emotion signals
"The social media ecosystem is designed in a way that pressures influencers to produce increasingly extreme content just to maintain their viewership – and their income – week after week."
This line implies a systemic threat to public discourse and mental well-being by highlighting an inescapable pressure toward extremity, subtly engineering concern about the trajectory of digital culture. However, it remains grounded in analysis rather than inflammatory rhetoric.
"You give money for social media advertising, and then it goes to some provocative, incendiary influencer."
The term 'incendiary influencer' evokes moral distaste and mild outrage, particularly when tied to the idea that legitimate brands inadvertently fund such figures. However, the emotional tone is restrained and consistent with investigative journalism norms.
Narrative Analysis (PCP)
How the article reshapes thinking: Perception (what beliefs are targeted), Context (what information is shifted or omitted), and Permission (what behavior is being encouraged).
The article wants the reader to believe that disinformation on social media is primarily driven by a profit-oriented system rather than ideological or geopolitical motives, and that the root cause lies in the economic incentives created by the attention economy and automated advertising systems. It frames disinformation as an emergent outcome of platform design and monetization logic, not just individual malice.
By emphasizing financial motivations behind viral disinformation, the article normalizes the idea that deceptive content is a rational output of a system that financially rewards attention-grabbing content. This makes it seem natural that creators would exploit algorithmic preferences, shifting blame from individuals to systemic flaws.
The article does not address how state actors or politically motivated groups may exploit the same profit-driven platforms to amplify their narratives under the cover of commercial disinformation, potentially obscuring the interplay between financial and strategic motives in high-impact misinformation campaigns.
The reader is nudged toward supporting systemic regulatory reforms — particularly accountability measures for advertisers and platforms — rather than focusing on content moderation, creator punishment, or individual media literacy as primary solutions.
SMRP Pattern
Four manipulation maintenance tactics: Socializing the idea as normal, Minimizing concerns, Rationalizing with logic, and Projecting blame.
"“The influencer says, ‘I'm just putting content – free speech.’ The platform says, ‘I'm just a platform’, and the advertiser says, ‘I don't know where my money goes’. So no one is responsible in the end.”"
Red Flags
High-severity indicators: silencing dissent, coordinated messaging, or weaponizing identity to shut down debate.
"“If we think about it as a system that makes money for a lot of actors, then it becomes much easier to fix.”"
Techniques Found(4)
Specific propaganda techniques identified using the SemEval-2023 academic taxonomy of 23 techniques across 6 categories.
"Carlos Diaz Ruiz, author of “Market-Oriented Disinformation Research”, argues that to better combat fake news, we must view this ecosystem as a market "rather than an occasional aberration caused by some evil person out there". “If we think about it as a system that makes money for a lot of actors, then it becomes much easier to fix.”"
The article cites Carlos Diaz Ruiz, presenting him as an expert author of a named work, to justify the framing of disinformation as a market-driven phenomenon. His authority as a named researcher is used to support the argument that economic incentives—not ideology—drive much of online disinformation, thereby lending credibility to this interpretation without presenting independent verification.
"In fact, publishing sensationalist or anxiety-inducing misinformation is actively rewarded by algorithms, according to a recent report by the SIMODS research project, which tracks online disinformation across major platforms."
The article invokes the SIMODS research project as an authoritative source to validate the claim that algorithms reward misinformation. By citing a specific research project, it strengthens the credibility of this assertion through appeal to institutional expertise, even though the report’s methodology or findings are not detailed.
"a few influencers make a lot of money from that"
The phrase 'a few influencers make a lot of money' uses emotionally suggestive phrasing ('a lot of money') to frame influencer earnings as disproportionate or excessive, subtly casting suspicion on their motives. While not grossly exaggerated, the wording carries an implicit moral judgment about profit-seeking in the attention economy, amplifying concern without quantifying what 'a lot' means in context.
"The influencer says, ‘I'm just putting content – free speech.’ The platform says, ‘I'm just a platform’, and the advertiser says, ‘I don't know where my money goes’. So no one is responsible in the end."
This rhetorical construction exaggerates the deflection of responsibility by portraying all actors—creator, platform, advertiser—as uniformly evasive and unaccountable. While individual cases of evasion exist, the generalization implies systemic, universal denial of responsibility without evidence that all or most actors behave this way, thus oversimplifying a complex accountability landscape.