Delegitimising a legend: Unipolar delegitimation and polarisation dynamics in Weibo fan discourse during the 2026 FIFA World Cup
This study analyzes Weibo discourse during the 2026 FIFA World Cup to reveal how opponents of Lionel Messi employ a strategy of "unipolar delegitimation"—characterized by a concentrated focus on a single judgment subcategory and heavy reliance on indirect expression—to drive discursive polarisation, contrasting with the balanced evaluative patterns of supporters.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
In the digital age, the way people argue about sports has become a window into how human communities form, fracture, and harden their beliefs. This field of study, often called discourse analysis, looks closely at the specific words people choose to understand how they build their reality. When a group of fans supports a team, they do not just say "we like them"; they construct a story of why that team is good, using language to justify their feelings. Conversely, those who oppose a team do not merely say "we dislike them"; they construct a story of why that team is bad, often focusing on fairness or rules. Researchers have long known that social media algorithms tend to amplify these strong emotions, pushing people into separate bubbles where they only hear voices that agree with them. The question that remains is how these bubbles actually speak to one another. Do they argue using the same tools, or do they speak entirely different languages? Understanding this helps us see why online arguments often feel like two people talking past each other, unable to find common ground even when discussing the same event.
A recent study by researchers Qingyu Gao and Ziqi Feng examined this phenomenon during the 2026 FIFA World Cup, focusing on the heated online debate surrounding the Argentine national team and its captain, Lionel Messi. The researchers collected over twelve thousand posts from Weibo, China's largest social media platform, to see how supporters and opponents used language to build their cases. They were particularly interested in a framework that breaks down human attitudes into specific categories: how people express their feelings, how they judge a person's character or ability, and how they evaluate the fairness of an action. By analyzing these posts with the help of advanced artificial intelligence, the team mapped out exactly how each side deployed their arguments. The result was a clear picture of two distinct worlds operating side by side, using different strategies to win the same battle.
The study found a striking difference in how the two groups organized their arguments. Supporters of Messi and Argentina used a balanced approach, mixing emotional praise with discussions of the players' skill and hard work. They spoke about happiness, the natural talent of the players, and the sheer effort required to win. Their language was varied, spreading their praise across many different qualities. In contrast, the opponents of Messi and Argentina did not spread their criticism around. Instead, they focused almost entirely on one specific type of argument: moral and procedural unfairness. They rarely talked about feelings or the beauty of the game. Instead, they concentrated their energy on accusing the team of benefiting from biased referees, unfair rules, or a rigged system. The researchers call this pattern "unipolar delegitimation," where one side attacks a single point of weakness with overwhelming force, while the other side defends with a wide array of positive attributes.
This difference in focus created a dynamic where the two sides were essentially playing different games. The opponents acted like prosecutors in a courtroom, presenting a case that the team's success was not earned but stolen through manipulation. They built a chain of logic suggesting that the referees were biased, the penalties were excessive, and the final result was a fraud. The supporters, however, acted like storytellers, weaving a narrative of a legendary athlete's final journey, supported by statistics and the sheer joy of the victory. When the opponents attacked the fairness of the game, the supporters were forced to respond on that same terrain, defending the rules and the referees, even though their original strength lay in celebrating the players' talent. This shift meant that the debate became increasingly centered on accusations of unfairness, a topic where the opponents held the initiative.
Another major finding was how the two groups chose to express their hostility. Supporters tended to be direct, openly stating their love for the team and their pride in the victory. Opponents, however, relied heavily on indirect language. They used sarcasm, rhetorical questions, and the sharing of other people's critical comments to convey their anger without saying it directly themselves. For example, instead of writing "the referee cheated," an opponent might post a question like, "Is it fair that only one team gets penalties?" or share a chain of forwarded messages where others made the accusation. This strategy allowed them to express strong negative feelings while maintaining a layer of protection against platform rules that ban overt attacks. The study identified five specific ways they did this, including using irony, asking questions that imply an answer, and comparing current events to past controversies to suggest a pattern of unfairness without stating it outright.
As the tournament progressed over six weeks, the nature of the argument changed in a predictable way. In the beginning, the conversation was dominated by supporters celebrating the team's success, with very little opposition. As the tournament moved into the knockout stages and controversial referee decisions occurred, the opposition grew louder and more focused. The debate shifted from a celebration of skill to a forensic examination of fairness. By the end of the tournament, the two groups had settled into a state of "parallel intra-camp entrenchment." This means that within each group, the way they spoke became a habit, a standard way of thinking that everyone in that group understood. However, the two groups remained completely separate. They did not merge into a single society-wide agreement, nor did they convince each other. Instead, they became more entrenched in their own separate realities, speaking different languages and using different rules to judge the same events.
The researchers suggest that this outcome is driven by the structure of social media itself. The platforms are designed to show users content that keeps them engaged, which often means showing them arguments that confirm what they already believe. This creates an environment where a focused, moralistic attack on fairness can spread quickly among a specific group, while the broader, more nuanced defense of talent gets lost in the noise. The study shows that polarization is not just about people having opposite opinions; it is about them using different tools to build their arguments. One side uses a broad, emotional defense, while the other uses a narrow, moralistic attack. Because they are not using the same tools, they cannot easily dismantle each other's arguments, leading to a situation where both sides become more convinced of their own version of the truth, while remaining unable to understand the other.
This research highlights that the way we argue online is shaped by the platforms we use and the strategies we adopt to survive within them. The opponents of Messi learned that focusing on a single point of moral failure and using indirect language was the most effective way to gain traction and avoid censorship. The supporters learned that they had to defend on that same ground, even if it was not their strongest suit. The result was a debate that never truly resolved, but instead hardened into two separate camps, each convinced of their own legitimacy and blind to the logic of the other. The study concludes that understanding these linguistic patterns is crucial for understanding why online communities can become so divided, and why it is so difficult to bring them back together.
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