Mimicked Voices and Nonhuman Listening: AI Deepfakes, Speech, and Sonic Manipulation in the Digital War on Ukraine
The essays collected in this series (link to the Introduction) trace how nonhuman listening operates through sound, speech, and platformed media across distinct but interconnected domains. Across these accounts, listening no longer secures meaning or relation; it becomes a site of contestation, where sound is mobilized, processed, and weaponized within systems that privilege circulation, recognition, and response over truth. In this contribution, Olga Zaitseva-Herz examines how nonhuman listening operates under conditions of war, where AI-generated voices and deepfakes destabilize the very grounds of auditory trust. Through the case of Ukraine, she shows how platforms and political actors alike exploit algorithmic listening systems to amplify affect, circulate disinformation, and transform voice into a tool of psychological warfare. Listening, in this context, becomes not a means of understanding but a terrain of uncertainty. –Guest Editor Kathryn Huether
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Russia’s full-scale invasion of Ukraine has unfolded as the most digitally mediated war to date, shaped not only by what circulates online but by how content is heard, interpreted, and amplified. Here, listening is not limited to human hearing: it also includes algorithmic systems that detect, rank, and amplify content, as well as political actors and online publics who interpret and recirculate it. Social media platforms—Telegram, Instagram, TikTok, Facebook—have become sites of psychological warfare where AI-generated audio, video, text, and image-based content are crafted to manipulate perception and provoke rapid emotional responses, often through algorithmic systems attuned to virality and affect. Ukrainian political authorities regularly caution users by saying that everything one reads, hears, or sees could be a psychological weapon. This is not rhetorical. Content is often designed to produce outrage, shock, and despair—emotions that travel quickly across platforms and influence public mood.
AI is used to create fake news videos, synthetic voices, and deepfake conversations, complicating how authenticity is heard and assessed. Some recordings circulating on social media simulate “leaked” phone calls revealing political dissent or strategic plans that are then shared on social media sites such as Telegram, Instagram, and Facebook. At the same time, the fact that people’s original voices can now also be generated with AI means that one can claim that their recorded voice is AI-generated. A widely circulated case involved Russian music producer Iosif Prigozhin, whose alleged call criticizing the Kremlin provoked significant backlash. Soon after he claimed the recording was an AI forgery – a statement whose truth remains unclear, but which strategically exploits growing public awareness of deepfakes as a means of discrediting or distancing from damaging material. Deepfakes thus do not merely deceive; they also destabilize the conditions of listening and trust, turning listening itself into a site of strategic uncertainty.. This uncertainty exploits a growing crisis of trust in listening itself, where voices can always be disavowed as synthetic. Against this backdrop, music and voice emerge as especially powerful media for manipulation, parody, retaliation, and symbolic struggle.
AI Songs as a Tool of Revenge
AI generative tools are also used for irony or parody, such as in the viral remake “Samotni Moskali,” [Lonely Muscovites], which mocks the Ukrainian pop star Ani Lorak, who moved to Russia. On November 13th, 2023, Ukrainian journalist and politician Anton Gerashchenko’s Telegram channel posted a video remake of Ani Lorak’s old song “Poludneva Speka” [Midday Heat], renamed “Samotni Moskali.” This video quickly went viral on social media. Her big hit from the ’00s has been remade into strongly pro-Ukrainian content, featuring clips from current frontlines to illustrate new lyrics generated by an AI voice engineered to closely mimic Lorak’s vocal timbre and affect. The parody relies on listeners recognition of her voice and affective style, while the imitation introduces a strong contentual shift between the original and synthetic lyrics.
This social media burst was a response to Ani Lorak’s claimed political neutrality in the context of Russia´s full-scale war against Ukraine, despite clear signs from her that supported Russia. These actions seemed aimed at revenge and at the same time, the public breakup of her Ukrainian fan base, showing the impact of her choices, while her Ukrainian audience felt betrayed. It led to many satirical memes, including AI-generated songs related to her stage persona, appearing on social media. Knowing that, under current Russian politics, she could get into trouble there if the government took the promoted `support´ for the Ukrainian army seriously. The revenge group went even further by creating a homepage called “Ani Lorak Foundation,” completely dedicated to fundraisers for the Ukrainian army, which is represented like Lorak’s own project where she showcases her support of Ukrainian battalions. Some military drones deployed by the Ukrainian side even ended up bearing stickers with the name of the “Ani Lorak Foundation.“ This case demonstrates how AI tools became instruments of public satire, sabotage and protest in the context of the current full-scale war.
AI Songs as a Weapon
During the full-scale invasion, Russia has been using AI-generated music as a weapon for propaganda and disinformation. In 2023, multiple songs in Ukrainian were created to disrupt Ukraine’s military mobilization efforts and went viral. One of these, the song “Mamo, Ia Ukhyliant” [Mother, I am a Draft Dodger], became particularly popular in a multitude of variations. Their circulation shows how platforms “listen” to wartime content through metrics of repetition, provocation, and affective intensity, amplifying messages not because they are true, but because they are likely to generate reaction and spread. These songs were algorithmically promoted on TikTok and successfully sparked a viral challenge aimed at undermining Ukraine’s mobilization in 2024 by encouraging Ukrainian men to evade the draft, flee, and party abroad instead. In return, Ukrainian intelligence has released an official statement that these songs are products of the Russian disinformation campaign.
This example shows how AI-generated songs are actively used as powerful tools of war, spreading political messages and influencing people’s political choices. Also, the fact that all these songs about draft evasion were released in Ukrainian highlights the goal of targeting Ukrainian men specifically, since Russian men usually don’t speak Ukrainian and therefore wouldn’t be affected by the content. Furthermore, the presence of a large number of these `draft dodger’ songs at the same time created the impression of widespread societal acceptance through repetition and algorithmic amplification. In this way, repetition itself became a signal of apparent legitimacy: the more frequently such content circulated, the more easily platforms and audiences could register it as evidence of broader consensus around draft evasion within Ukrainians.
AI Pictures on Facebook Mimicking Sound and Sonic Affect
Visual disinformation follows similar viral patterns. There has been a surge of AI-generated images with war-related content, often mimicking sound to intensify emotional impact and prompt affective listening by showing a screaming child amid the rubble or a crying soldier in a Ukrainian uniform, paired with a patriotic, pro-Ukrainian message that encourages interaction, such as a like or comment. Even without actual sound, such images solicit a kind of affective listening in which suffering is not literally heard but imagined, projected, and emotionally registered through visual cues. Meanwhile, although this truth-blurring pattern attracted significant attention among many Ukrainians, ironic counter-memes emerged, mocking its primitive approach.
According to warnings from the Ukrainian online security agency, these accounts aim to interact with pro-Ukrainian users, ultimately adding them as friends or followers. Then, when they build a large enough audience, they shift the type of content they share to pro-Russian. The strategy relies on gathering an audience that is specifically pro-Ukrainian, as they interact with images of crying soldiers or the suffering of the Ukrainian people at the front. In this sense, the filtering process functions as a form of nonhuman listening at the level of audience formation: platforms and account managers learn which publics respond to particular emotional cues, cultivate those publics through repeated engagement, and later redirect them toward different ideological content. This creates a filtering mechanism through which an initially pro-Ukrainian audience is gathered, profiled, and later ideologically redirected, alienating loyal followers while pulling political opinion in a more pro-Russian direction.
Pro-Russian AI Songs in Germany to weaken Support of Ukraine
In Germany, AI-generated songs are being utilized as propaganda tools to promote pro-Russian sentiment and anti-Ukrainian views. The right-wing party AfD has embraced AI songs as a potent tool in this regard. Multiple mostly anonymous YouTube accounts have emerged spreading right-wing ideas, with these songs not only addressing German political issues but also openly supporting Russia. For instance, one song titled “Meine Stimme Habt ihr nicht” [You don’t get my vote] features an AI-created avatar of a tall, strong woman holding German and Russian flags. The version of the same song was also released in Russian. The lyrics criticize Germany’s political course, including military aid to Ukraine, and expresses a desire to be friends with Russia. Its circulation across German and Russian suggests that listening is being calibrated for different national and linguistic publics, allowing similar political messages to be heard through distinct affective and ideological frames shaped by language, audience, and context.
Contemporary propaganda is increasingly shaped not just by human intent but by rapidly developing nonhuman listening systems—both in production and amplification. Algorithmic listening and perception are exploited to privilege what provokes, not what is true, complicating efforts to regulate digital hate, emotion, and influence. In this context, listening becomes not only a human practice of interpretation, but also a technical system of detection, ranking, and amplification—and, crucially, a site of failure where truth, trust, and perception can no longer be reliably aligned.
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Featured Image: Photo by Stanislav Vlasov on Unsplash.
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Olga Zaitseva-Herz is an ethnomusicologist working at the intersection of Ukrainian music, war, displacement, and digital culture. She is currently a postdoctoral researcher at the Kule Centre for Ukrainian and Canadian Folklore at the University of Alberta and a guest scholar at Think Space Ukraine at the University of Regensburg. Her research examines how song operates as a medium of political mediation, cultural diplomacy, and historical memory, with a particular focus on popular music and AI-generated sound during Russia’s full-scale invasion of Ukraine. Combining perspectives from ethnomusicology, sound studies, and media analysis, her work investigates how music shapes narratives of resistance, belonging, and global visibility, and how sonic practices illuminate the broader entanglements of culture, technology, and power.
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REWIND! . . .If you liked this post, you may also dig:
Hate & Non-Human Listening, an Introduction–Kathryn Huether
Your Voice is (Not) Your Passport—Michelle Pfeifer
Mapping the Music in Ukraine’s Resistance to the 2022 Russian Invasion—Merje Laiapea
SO! Amplifies: An Interactive Map of Music as Ukrainian Resistance to the 2022 Russian Invasion—Merje Laiapea
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Press Play and Lean Back: Passive Listening and Platform Power on Nintendo’s Music Streaming Service
I remember long car rides as a kid in the early 2000s, headphones on, gazing out the window at the passing scenery while looping background music from The Legend of Zelda and Pokémon games on my Game Boy. After school, I’d occasionally throw the Super Smash Bros. Melee soundtrack on my Discman CD player, keeping me motivated while doing homework. Like many others, I found Nintendo’s music to be an effective accompaniment to everyday activities, a kind of functional listening long before streaming platforms like Spotify and YouTube made it trendy. Which raises the question: how has Nintendo adapted to the streaming age?
Unlike many other game publishers, Nintendo has conspicuously kept its music off streaming services—despite having some of the most recognizable soundtracks in video game history, such as Super Mario Bros., Donkey Kong, and Metroid. Instead, the company took a different direction by unveiling its own music streaming service in October 2024, aptly titled Nintendo Music. The platform, available to Nintendo Switch Online subscribers, showcases soundtracks spanning the company’s history, from 1980s NES titles to recent Nintendo Switch 2 releases.
In a listening landscape dominated by Spotify, Apple Music, and YouTube Music, Nintendo’s decision to launch its own proprietary streaming service makes it unique among video game companies. This move is idiosyncratic in a way that feels characteristically Nintendo, but it is also a bold bid to compete in the broader attention economy. By situating itself alongside, rather than within, the major music streaming services, Nintendo signals that its soundtracks are valuable cultural content worth curating and controlling directly.
Nintendo Music caters specifically to video game fans by including screenshots with each track, having a “Spoiler” filter that lets users block music from games they haven’t played, and making personalized recommendations based on each user’s play history. But perhaps most notable is its emphasis on background listening: through features like mood playlists and an “Extend” tool, video game music is explicitly framed as a companion for contexts like relaxing, working out, or doing household chores.
By repurposing game soundtracks as tools for everyday routines, Nintendo Music capitalizes on nostalgia and contemporary listening habits to deepen fan engagement and retain control over its brand—a strategic move from a company that is famously (over)protective of its intellectual property. More generally, it also reflects neoliberal logics in which music is woven into daily life to regulate mood and productivity, revealing the increasing reach of digital platforms over how we work, listen, and live.
Listening in Loops: Video Game Music in the Background
In advertisements for Nintendo Music, actors hum and sing along to famous video game tunes while carrying out their daily activities. “Whether you’re grocery shopping, straightening up at home, or getting some studying done, Nintendo Music can be the background sound to your everyday life,” the description to one video reads.
This marketing is strikingly similar to strategies by streaming services such as Spotify, which encourage listening to music in any and every context. Playlists based around specific moods or activities—like Spotify’s “Gym Hits,” “Intense Studying,” and “sad girl starter pack”—use music as a tool to manage listeners’ energy levels, focus, and emotions as they go about their lives. Anahid Kassabian’s concept of “ubiquitous listening” helps describe this phenomenon, showing how even passive, background engagement can shape listeners’ affects and experiences.
In many ways, video game music is ideal for the ubiquitous listening that streaming services promote. Game soundtracks are generally (though not always) designed for the background and are usually instrumental, setting the emotional tone of on-screen action, from serene soundscapes to intense boss battles. Unlike other multimedia soundtracks, such as film scores, much video game music is also composed to loop indefinitely, making it especially effective for sustained listening.
As Michiel Kamp demonstrates in Four Ways of Hearing Video Game Music, “background listening” is one of the main ways users experience video game soundtracks. He writes that “background music both in games and elsewhere requires us to be so attuned to it that it offers no experiential friction in need of interpreting, and through this it has the capacity to attune us to our environment, be it a mythical underworld full of dangers or a convenience store full of groceries” (2024, 175).
While Kamp primarily focuses on background listening while playing games, game music can attune listeners to moods, activities, or environments even when heard outside of gameplay. In fact, video games train us to listen in this way, using music to establish the appropriate affect for narrative events, settings, and characters. These immersive qualities have made video game music immensely popular on streaming services: soundtracks from games and franchises like Halo, Final Fantasy, The Elder Scrolls, Undertale, and Minecraft have collectively garnered over a billion streams on Spotify alone.
But Nintendo, by launching its own proprietary platform, trades streaming royalties and wider exposure for something arguably more valuable: the ability to control how and where fans experience its content.
Features in Focus: Nintendo Music’s Approach to Passive Listening
Nintendo Music’s features illustrate how the service adapts soundtracks for continuous, everyday listening. Perhaps most notable is the service’s unique Extend feature, which allows users to stretch the runtime of tracks up to 60 minutes. Described in the app as “the perfect accompaniment to studying or working,” this feature facilitates seamless background listening without the distraction of frequent track changes. So if you’ve ever wanted to loop the Wii Shop music for a full hour—and let’s be honest, who hasn’t—now you can.
Alongside complete soundtracks, Nintendo Music also foregrounds curated playlists, including those based around specific video game characters, themes, and moods. The “Powering Up” playlist features “up-tempo tracks to fill you with energy,” for example, while “Good Night” has “down-tempo tracks to help you drift into dreamland.” Screenshots for each track further immerse listeners, visually reinforcing the moods and environments the music is designed to evoke. On these playlists, Nintendo’s music is presented less as individual compositions and more as “vibes.”
Packaging music around moods or vibes is not a neutral act. In Mood Machine: The Rise of Spotify and the Costs of the Perfect Playlist, Liz Pelly asserts that “organizing music by mood is a way to transform it into a new type of media product. It is about selling users not just on moods, but on the promise of the very concept that mood stabilization is something within their control. It’s a tactic for luring users to double click and start streaming” (2025, 40). Pelly’s observation underscores that mood-based playlists do more than entertain: they are a way for platforms to influence how listeners organize their time and attention.
Furthermore, Nintendo Music’s approach positions music not only as a creative or cultural artifact, but also as a commodified resource for self-regulation. This aligns with Eric Drott’s claim that streaming services often employ music as a “technology of social reproduction,” used to structure and maintain day-to-day existence. For Drott, this is “part of a broader tendency under neoliberal capitalism that prizes music, the arts, and culture not on account of their aesthetic worth but on account of their ‘expediency’ for other social, political, and economic ends” (2024, 197).
Many users still actively listen to their favourite Nintendo soundtracks on the platform, and there’s also nothing inherently wrong with background listening—it’s how much of this music was originally designed to be heard. However, presenting music as an aid to concentration, productivity, or mood regulation also risks repurposing soundtracks as a form of “neo-Muzak,” a vehicle for continuous consumption designed to keep listeners plugged into Nintendo’s broader product ecosystem.
Background Benefits: Nintendo’s Platform Power
Beyond guiding listening habits, Nintendo Music reinforces the company’s brand image of nostalgia, innovation, and family-friendly fun while increasing engagement with its intellectual property on its own terms. As a Nintendo spokesperson said in an interview with Nippon TV News, “To increase the number of people who have access to Nintendo IP, we believe that game music is an important and valuable form of content. Nintendo Music is a service that allows us to deliver this game music in a way that is uniquely Nintendo. . . . We hope that Nintendo Music will help you recall some of your favorite gaming experiences and think that it will also encourage people to play the games again” (translation by Nicholas Anderson).
Nintendo’s efforts to centralize its music are also likely, at least in part, a response to fans unofficially circulating soundtracks online. As part of a broader trend of functional music compilations (think lofi beats to study/relax to), YouTube hosts countless user-generated Nintendo music playlists designed for activities such as studying and sleeping. Despite Nintendo’s notoriety for issuing takedown notices over copyright infringement—including shutting down the massively popular YouTube video game music channel GilvaSunner in 2022—many of these unofficial videos and reuploads continue to accrue millions of views.
By providing an official home for soundtracks and its own contextual playlists, Nintendo Music is a subtle exercise in platform power, gating access to subscribers. It redirects listeners from other platforms, letting Nintendo control its content without diluting its brand on third-party services. Although Nintendo Music’s catalogue is currently slim—as of writing it has roughly 100 soundtracks—the company continues to trickle out new music most weeks, incentivizing listeners to keep coming back.
Nintendo Music promotes ongoing background listening not only to attract users who are already accustomed to mood and activity playlists, then, but also to keep them on the platform and connected to the company’s games and services. After all, every minute a listener spends on Nintendo Music looping David Wise’s “Aquatic Ambiance” from Donkey Kong Country is a minute they aren’t spending on YouTube, Spotify, or any other entertainment platform.
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Video game music is, in many respects, perfectly suited for the streaming age. From the popularity of playlists to the ascent in ambient music, streaming services’ focus on passive listening aligns with the background function of video game soundtracks. As we’ve seen, Nintendo Music takes full advantage of this, using its marketing and features to bolster branding, solidify control over IP, and encourage engagement.
For many, Nintendo Music offers an enjoyable experience and a convenient way to stream nostalgic soundtracks. But the service also exposes how proprietary platforms concentrate power and leverage passive listening for ongoing consumption, reinforcing broader patterns where work and leisure become intertwined with corporate interests. By prompting users to integrate Nintendo’s music into their activities, the platform extends the reach of its games beyond the screen and into daily life.
Whether you’re listening to famed composer Koji Kondo or everyone’s favourite troubadour dog K.K. Slider, Nintendo’s message is clear: press play and lean back.
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Featured Image: “Mario Kart” by MIKI Yoshihito (#mikiyoshihito), CC BY 2.0
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Ryan Blakeley is Visiting Assistant Professor at Northeastern University and holds a PhD in Musicology from the Eastman School of Music. His research investigates how digital platforms like music streaming services are shaping creative practices, listening habits, and music industry power dynamics.
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Playing with the Past in the Imagined Middle Ages: Music and Soundscape in Video Games–James Cook
Beyond the Grave: The “Dies Irae” in Video Game Music–Karen Cook
Sounding Out! Podcast #29: Game Audio Notes I: Growing Sounds for Sim Cell–Leonard J. Paul
Papa Sangre and the Construction of Immersion in Audio Games— Enongo Lumumba-Kasongo
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