{"id":236559,"date":"2025-12-17T00:09:10","date_gmt":"2025-12-17T00:09:10","guid":{"rendered":"https:\/\/www.europesays.com\/ie\/236559\/"},"modified":"2025-12-17T00:09:10","modified_gmt":"2025-12-17T00:09:10","slug":"a-vague-study-on-nazi-bots-created-chaos-in-the-taylor-swift-fan-universe","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/ie\/236559\/","title":{"rendered":"A vague study on Nazi bots created chaos in the Taylor Swift fan universe"},"content":{"rendered":"

On December 9th, Rolling Stone published a story<\/a> that some saw as a bombshell: a network of coordinated, \u201cinauthentic\u201d social media accounts had a hand in the weekslong discourse that trailed the release of Taylor Swift\u2019s recent album, The Life of a Showgirl.<\/p>\n

It was a big deal for those in the Swiftie\/anti-Swiftie universe. Immediately following the record\u2019s release in October, discussion of Showgirl was fan- and critic-driven \u2014 passionate but fairly calm. Listeners debated the meaning of songs, analyzed the flood of material for hidden meanings, and questioned whether the music was even good. Some fans took issue with specific lyrics, especially around Swift\u2019s use of slang or metaphors. But at some point the discussion took a turn, and soon the tenor on social media was about whether Swift was hiding Nazi imagery into her output, or whether she was secretly MAGA. (The musician endorsed Kamala Harris<\/a> for president in 2024.) Soon enough in corners of the internet, the album release was consumed by fights over whether Swift was signaling a hard right-wing pivot.<\/p>\n

On its surface, the conversations might seem like standard fandom and anti-fandom, prompted by a much-hyped album from an artist that a lot of people have big feelings about. But the cycle of trending discourse snowballing into wall-to-wall social media activity is more than a fan rabbit hole: it\u2019s an example of how uneven incentives turbocharge the sludge in our contemporary media ecosystem.<\/p>\n

Two months later, new research by a little-known social listening firm seemed to upend what the public knew about how that viral discourse spread. Rolling Stone reported on research compiled by a company called Gudea, which promises clients \u201cearly visibility into rising narratives\u201d on social media platforms. Gudea had analyzed<\/a> 24,679 posts from 18,213 users on 14 different online platforms as they discussed Swift in the days following the album release. According to the report, \u201cinauthentic\u201d narratives that started on fringe platforms like 4chan eventually jumped to other more mainstream platforms like X and TikTok, where real people began debating<\/a> whether Swift was pushing Nazi symbols<\/a> and comparing Swift with Kanye West.<\/p>\n

\u201cThis demonstrates how a strategically seeded falsehood can convert into widespread authentic discourse, reshaping public perception even when most users do not believe the originating claim,\u201d the report reads. For some Swift fans, it was incontrovertible proof that negative discourse was the work of bots and agents of chaos. They took a victory lap.<\/p>\n

But now Gudea\u2019s report and Rolling Stone\u2019s coverage has triggered a second wave of arguments that have at times spiraled into a new and ever-expanding web of theories: about Swift and her covert PR moves, Gudea and Rolling Stone, and the very act of posting online.<\/p>\n

\u201cNo, you goofballs \u2014 Taylor Swift is not the hapless victim of a bot campaign,\u201d one TikTok with 418,000 views begins. \u201cYou just don\u2019t have any media literacy and you got bamboozled.\u201d<\/p>\n

On the other end of the spectrum, a separate TikTok user shared a video that amounted to \u201cI told you so,\u201d defending Swift and sharing the Rolling Stone piece. \u201cSo many opportunities to be smug this year,\u201d the caption read. \u201cI am taking all of them.\u201d<\/p>\n

And it all started with a bare-bones report that threw gasoline on a perpetual fire.<\/p>\n

Gudea is part social listening, part public relations firm: \u201cBy translating complex online activity into clear, decision-ready intelligence, GUDEA helps communicators act sooner, proactively manage risk, and respond with confidence,\u201d the company website reads. The startup has been around since 2023, but when the report was published, the company website was sparse. It\u2019s the only report of its kind on the site, and there\u2019s little information about Gudea\u2019s personnel or previous clients. That led to accusations<\/a> by Swift critics that Gudea was spun up and hired specifically to publish a report that was sympathetic to the pop star \u2014 perhaps even colluding with Swift and Rolling Stone to launder her image via the press. Some claimed Gudea was an \u201cAI company\u201d deploying generative AI to discredit legitimate critiques of The Life of a Showgirl. And perhaps most offensively: that the report was taking criticism coming from real people and writing it off as bot behavior.<\/p>\n

There was plenty of organic criticism of the album and Swift\u2019s persona more generally, particularly around lyrics and symbolism that some listeners \u2014 especially Black women \u2014 called out as racist<\/a>. It follows yearslong commentary about Swift\u2019s role in pop culture and politics as a rich, powerful white woman who is able to bend national conversations to her will and grab and retain attention on her personal projects, but only when she wants to<\/a>. Some people took the Gudea report to be saying that these real, human-driven frustrations were, essentially, not real.<\/p>\n

\u201cFuck you @rollingstone for saying that the outrage against Taylor Swift was \u201cbot manufactured\u201d when the ourtage came from Black Women. Actual. Human. Beings,\u201d a post<\/a> on Threads reads. \u201cAre you teaming up with American Eagle? \u2026 Because the racism is LOUD.\u201d<\/p>\n

Miles Klee, the Rolling Stone reporter who covered Gudea\u2019s findings, told The Verge that the outlet did not commission the report and that Swift is not a Gudea client.<\/p>\n

\u201cContrary to some readings of the article, it does not suggest that every account alleging that Swift supports Trump or harbors white supremacist views was part of an influence network,\u201d Klee wrote in an email. \u201cCertainly, there were and are many people making those claims in earnest. But a significant amount of this content has come from a small subset of coordinated accounts that don\u2019t behave like typical social media users. The public should understand that when they see extreme rhetoric online, it may originate from bad actors looking to manipulate the conversation.\u201d<\/p>\n

Jessica Maddox, an associate professor at the University of Georgia who studies social media, says that the conversation following the album release had all the hallmarks of inauthentic activity that she teaches her students to look for.<\/p>\n

\u201cIt\u2019s a beautiful, sunny day, and then all of a sudden \u2026 out of the blue, here comes the afternoon thunderstorm. It\u2019s a bad one, there\u2019s wind, there\u2019s rain, there\u2019s lightning, thunder, and then almost as fast as it came on, it\u2019s gone,\u201d Maddox says. \u201cIt has dissipated and it\u2019s back to being a sunny day. Bot activity is kind of like that.\u201d<\/p>\n

Inauthentic engagement is intense, short-lived, and includes repeated refrains or sayings that recur across posts and users. Maddox \u2014 who intentionally discloses that she is a fan of Swift \u2014 also found it curious that the flavor of discourse was similar across multiple platforms. Typically when content jumps platforms there\u2019s a sense of judgement or ridicule, she says: X users laughing about the weird thing TikTok users are doing, for example.<\/p>\n

\u201cI saw more of what felt like copy-and-paste topics and refrains and ideas being moved around almost too neatly compared to how discourse normally functions online,\u201d Maddox told The Verge.<\/p>\n

The Gudea report tracks how narratives emerged and proliferated over the course of several weeks and found that the 3.77 percent of users displaying nontypical behavior drove more than a quarter of the volume of discussion on platforms. (Gudea defines inauthentic accounts as those that \u201coperate in ways that distort the online conversation,\u201d like having automated posting patterns, repeating identical messages at scale, or coordinating with networks of other accounts.) Gudea also mapped and clustered different narratives that were circulating, and found that three topics were amplified by \u201cnontypical\u201d accounts: Nazi symbolism and conspiracies, allegations that Swift is MAGA, and the politicization of Swift\u2019s relationship with NFL player Travis Kelce.<\/p>\n

But lost in much of the discourse \u2014 and coverage \u2014 around the report is that Gudea acknowledges the vast majority of people were acting like typical users and that much of the discourse was \u201cstable and free from inorganic influence.\u201d Gudea found that discussion around cultural appropriation and Swift\u2019s use of African American Vernacular English (AAVE) was authentic, as were general critiques of the album quality and meta commentary around Swift\u2019s wealth and ethics. Gudea says the clearest example of inauthentic actors sowing the seeds of discourse came when accusations that Swift was using Nazi imagery<\/a> successfully prompted real people to compare her to Kanye West.<\/p>\n

\u201cTypical users flood in, not to support the conspiracy, but to contextualize it, criticize it, or draw comparisons to Kanye West,\u201d the report reads. \u201cThis surge ironically strengthens the narrative\u2019s visibility by increasing conversation volume and engagement velocity.\u201d Gudea says the narrative began on 4chan and subsequently moved through Discord, Reddit, Bluesky, and X.<\/p>\n

\u201cIf you don\u2019t go past the headline, it is easy and completely valid and fair to feel like, wait a minute, I am a human. I did feel these things. Why am I almost being gaslit by a company?\u201d Maddox says. \u201cYou are being called essentially a liar and inauthentic and not human, which in this age of AI, I can\u2019t think of anything more insulting.\u201d<\/p>\n

Gudea acknowledges the vast majority of people were acting like typical users<\/p>\n

The report\u2019s findings are fairly narrow \u2014 but once the top-line findings came down, it was disseminated, decontextualized, and reshared for maximum attention. Like many intense fan and anti-fan communities, nuance is lost as the news ripples outward and new theories and repeated falsehoods take hold. Keith Presley, cofounder and CEO of Gudea, told The Verge in an email that the report was produced independently and that the company was not asked by any outside party to put it together. Presley said Gudea contacted \u201ccounsel believed to represent Taylor Swift using publicly available legal contact information\u201d after the report was completed; Gudea didn\u2019t hear back.<\/p>\n

\u201cGudea does not serve as an arbiter of truth. Our objective is to illuminate the underlying structure of how content is repurposed and disseminated in a coordinated manner to influence broader discourse,\u201d Presley said in an email. \u201cWhether a narrative is true or false is not the analytical focus; rather, we examine how actors generate polarization, segment audiences into opposing camps, and manipulate platform algorithms to achieve strategic or harmful outcomes.\u201d<\/p>\n

Swift\u2019s publicist Tree Paine did not respond after The Verge said her request to be \u201cOff the record but on background only and not to be quoted,\u201d violates our long-standing background policy<\/a> for communications professionals.<\/p>\n

The report was provided exclusively to Rolling Stone, Presley says, because it aligned with the writer\u2019s beat \u2014 a typical arrangement for a small firm hoping to generate media coverage for its services. Presley also clarified that the company uses generative AI only at the final interpretive stage of reports; deep learning models are used to identify patterns from large amounts of data collected from hundreds of platforms. Presley says that instead of using simple keyword searches to collect posts, Gudea uses \u201centity-based monitoring and platform-wide ingestion\u201d across hundreds of sources to pull content referencing Swift, her album, and associated narratives. The posts were then grouped based on the theme of the discussion.<\/p>\n

But the report itself has issues, Maddox points out. There is no detailed methodology, for one; very few details about how the sample size was collected; and not much information on what statistical tests were conducted. There is no breakdown of posts and users \u2014 how many came from 4chan versus X, for example, or sample posts. There are no research questions listed that Gudea sought to investigate, with the company instead telling Rolling Stone that the report was prompted by a \u201cgut feeling\u201d from someone on staff. The report, and by extension the news coverage of it, was thin on details and demonstrable evidence. The Rolling Stone piece also clearly hit a nerve with how it characterized the backlash to the album, describing accusations of racism or fascism as \u201cridiculous\u201d and \u201cbizarre\u201d and perhaps putting too much stock in a surface level analysis.<\/p>\n

\u201cThe speed at which we tackle viral events is actually pretty horrific and unsustainable.\u201d<\/p>\n

If Taylor Swift was actually involved, Maddox jokes, she would have done a better job. The report is neither a slam dunk for Swift superfans nor a smear campaign against real, human critics \u2014 it is somewhere in between, pointing to important findings that were communicated sloppily. It requires nuance, qualifications, and further investigation; in other words, the opposite of the immediacy and virality we chase online.<\/p>\n

\u201cThe speed at which we tackle viral events is actually pretty horrific and unsustainable, I think for our mental health and for our just general sense of being in a culture,\u201d Maddox says. Social platforms have incentivized scale and speed over anything else, and content creators and influencers respond to that: They swarm conversations as they emerge in real time, flocking to wherever the action is and then leaving the topic behind when there\u2019s something new to talk about. Bad information gets passed around like a game of telephone, distorting and watering down the original reporting. A user might make 10 videos about Taylor Swift one day and then move on the next day when reach has flatlined. In other words, we all start to act a bit like bots.<\/p>\n

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