The discursive flexibility of changecraft: Platform change discourse in Meta,TikTok,YouTube,and X

Material changes

Material changes functioned as a primary discourse through which platforms communicated evolution, making shifts both visible and tangible to users. This emphasis on visual proof positioned change as something immediate, recognizable, and inherently positive. Platforms frequently introduced new features with explicit, observable improvements creating an alluring aesthetic of innovation that showcased technical prowess and design.

For example, Meta's announcement, “Introducing AI Backgrounds, HD Video Calls, Noise Suppression and More for Messenger Calling” (MENE10), provided clear, tangible images (see Figure 1) that showed exactly how new features would manifest in practice. This enabled users to immediately recognize and appreciate the benefits of the update. Similarly, YouTube's “A design journey from mobile to TV: Shorts arrive on the big screen” (Y65) documented the implementation process through detailed research and design iterations. Yet, while visually engaging and process-focused, the article notably omitted any rationale for why the feature was necessary. Instead, the rationale was presented as self-evident, shifting the narrative toward the how of design decisions rather than why the change was needed:

We wanted to know if the unique feel of Shorts could be conveyed in our conventional video player (Option A) or if it should be customized to better fill the blank spaces on either side of the video (Option B). We also considered a divergent option—the ‘Jukebox’ style (Option C)—where multiple Shorts would fill the screen at the same time, taking full advantage of the TV screen’s additional space (see Figure 2).

OPEN IN VIEWER

Figure 1.

Visual display of how AI backgrounds work (MENE10). Source: https://about.fb.com/news/2024/11/introducing-ai-backgrounds-noise-suppression-and-more-messenger-calling/.

OPEN IN VIEWER

Figure 2.

Visual display of reels on a TV (Y65). Source: https://blog.youtube/news-and-events/youtube-shorts-arrive-on-the-big-screen-design-process/.

This focus on process and visual display conveyed a sense of forward-looking creativity and optimization, yet it also obscured meaningful reflection on the necessity and broader implications of the change. Such an aesthetic implied that adaptation and iteration were inherently beneficial and unproblematic, reinforcing the assumption that ongoing technical tinkering equates to progress.

More complex algorithmic changes were similarly framed in terms of simplicity and seamless integration. For instance, YouTube's “experimental feature to allow people to add notes to provide relevant, timely, and easy-to-understand context on videos” (Y28) was presented with an intuitive explanation of the underlying algorithm: “If many people who had rated notes differently in the past now rated the same note as helpful, then our system was more likely to show that note under a video.”

This explanation made the change appear straightforward and accessible, glossing over potential risks such as the historical limitations of crowdsourced content moderation (Saeed et al., 2022). The framing aimed to assure users that these updates were user-friendly improvements, encouraging adoption while eliding broader complexities.

Yet beyond functional benefits, material changes often concealed deeper ideological and business shifts within platform governance. Updates that appeared discrete and technical frequently served to advance monetization strategies and reshape control over content and creators. Meta's “Reels update and monetization opportunities” (ME11), for example, introduced ranking changes prioritizing original content while simultaneously rolling out new advertising formats and payout structures. The framing of these shifts as “a few changes” and “opportunities” positioned them as creator-friendly, subtly encouraging alignment with monetizable content types.

YouTube's introduction of likeness management technology in “New tools to protect creators and artists” (Y12) was similarly framed as empowering creators to control their identity:

This means equipping [creators] with the tools they need to harness AI's creative potential while maintaining control over how their likeness, including their face and voice, is represented.

While presented as protection, this infrastructure arguably enables YouTube to formalize identity-based content claims, positioning the platform to monetize AI-generated media and regulate identity at scale. This raises concerns about how platforms might operationalize identity claims in ways that circumvent legal frameworks such as the US First Amendment, creating parallel governance regimes that prioritize monetization and content takedown over expressive freedom.

Thus, platforms foregrounded changes as beneficial and creator-focused, thereby obscuring their deeper role in expanding monetization, consolidating control, and redefining norms around digital expression and visibility. By emphasizing visible updates such as interface redesigns, screenshots, and clear demonstrations of new features, they distracted attention from less visible yet more consequential infrastructural changes that reshaped platform economics and governance. This aesthetic of platform change—marked by a constant stream of updates, visually driven narratives, and a focus on immediate user or creator benefits—performed multiple functions, including masking the redefinition of monetization pathways, intensifying platform control, and deepening user dependence. Ultimately, platforms not only managed transformation discursively but also aestheticized it, rendering change itself as a form of engagement while deflecting scrutiny from its structural consequences.

Ideological changes

Across our corpus, platforms rarely introduced ideological change as an outright transformation. Instead, ideological changes manifested as recalibration of platforms’ commitments through subtle yet strategic shifts in emphasis, framing change as continuity. These recalibrations were achieved through several discursive strategies: reframing policy updates as clarifications of long-standing commitments; emphasizing continuity and stability even when facing external pressure; (re)invoking original intentions to legitimize redirections; and selectively foregrounding certain values such as safety, free expression, or transparency depending on social, political, or technological contexts. Together, these moves allowed platforms to reconcile shifts in their approach with the image of stable ideological foundations.

YouTube and TikTok both engaged in recalibration through updates to their policy and framing to emphasize continuity. In Y53, YouTube announced, “We’ll be updating our approach… in a way that we believe creates space for community, recovery and resources, while continuing to protect viewers.” TikTok, in T48, stated that “These changes build on our long-standing efforts to foster authenticity.” By using phrases such as “updating our approach” and “long-standing efforts,” both platforms presented potentially significant changes as extensions of existing values, signaling stability while responding to new pressures. In this way, the platforms framed these recalibrations not as reactions to new developments but as refinements of principles that had always guided their platforms.

Recalibration was also apparent in responses to political change. At the time of Elon Musk's acquisition of Twitter and its rebranding as X, the company published a series of updates emphasizing transparency and experimentation. In X18, it declared: “We believe that we have a responsibility, as the town square of the internet, to make our platform transparent […] opening much of our source code to the global community.” While such moves might signal ideological transformation, X's messaging cast them as a return to its first and original principles. In X21, the company stated:

We’ve always understood that our business and revenue are interconnected with our mission; they rely on each other […] All of this remains true today. What has changed, however, is our approach to experimentation.

This shifted the focus on experimentation and openness, while explicitly reiterating the idea of continuity with past values and ideals. In X4, it added: “Our mandate at X is clear: we must protect free speech and safeguard information independence while tackling antisemitism and hate speech.” This discursive move recalibrated its content moderation stance to accommodate both regulatory pressure and its new leadership's ideological bent, without conceding that its underlying commitments had shifted. Rather than depict itself responding to controversy or altering its stance, the platform emphasized consistency while redefining execution.

A similar move appeared in Meta's response to criticism from conservative lawmakers and users around its fact-checking practices. In MENE5, the company explained a major shift away from third-party fact-checking: “We think this could be a better way of achieving our original intention of providing people with information about what they’re seeing.” Here, the phrase “original intention” performed discursive work, casting a substantive change in content moderation as a recalibration of long-standing principles rather than a departure from them. Although the mechanisms of moderation changed significantly, the ideological frame remained: the company claimed it was merely seeking a better way to do what it had always tried to do.

Recalibrations were also prompted by social changes and growing public concern over issues such as mental health, teen safety, and sextortion. In response to mounting pressure from lawmakers and grieving families, Meta launched Thrive, which it described as “the first signal sharing program” (MENE21) aimed at curbing the spread of graphic suicide and self-harm content. The company noted that it had acted on more than 12 million pieces of such content across Facebook and Instagram, alongside new controls to limit exposure for teens. In response to increased media and public attention to sextortion scams, Meta implemented features such as blocking screenshots of sensitive images and hiding follower lists. “We’re expanding the availability of a nudity protection feature in Instagram DMs to more people,” (MENE15) it stated. These announcements framed the company's evolving safety features not as reactive crisis management, but as a deepening of its existing commitments. By emphasizing expansion, firsts, and new implementations, the company projected a sense of momentum while maintaining that safety and protection had always been at the heart of its ideology.

Finally, technological change, particularly the rise of generative AI, prompted another set of recalibrations. Meta, in their 2025 statements, positioned themselves as leaders in promoting equitable access to AI tools, especially in the context of the European market. As Meta put it, “Some are better positioned than others to benefit… That is why a key opportunity for European organisations is through open-source AI” (MENE25). In this reframing, openness was not just a technical decision but a values-based commitment to fairness and shared innovation. TikTok took a similar approach, linking AI to user empowerment. In T54, the company explained that “AI enables incredible creative opportunities… which is why we label AIGC made with TikTok AI effects… over 37 million creators have used [our tool] since last fall.” Even amid regulatory scrutiny around AI use, the platform presented its labeling and education efforts as consistent with long-standing commitments to creativity and transparency. These examples showed how technological disruption became an opportunity for platforms to reassert existing values while adapting to new risks and expectations.

Across these examples, recalibration functioned as a central discursive technique—one that enabled platforms to manage change without appearing inconsistent. What drove these recalibrations varied: political shifts necessitated redefinitions of free speech and moderation; social crises prompted intensified protections; and technological transformations demanded renewed commitments to openness and creativity. Yet in each case, platforms presented themselves as ideologically continuous. Recalibration allowed them to adapt to a changing world while retaining the image of coherent, principled actors.

Creator benevolence

In recent years, digital platforms have rapidly introduced new tools, infrastructures, and monetization pathways in response to the rise of the “creator economy.” But more than just a response to market shifts, these moves were framed as part of a broader narrative, one that positioned platforms as benevolent stewards of creator livelihoods. Platforms told a story in which creators were central, valuable, and in need of support, and used this story to rationalize sweeping changes to monetization, content governance, and infrastructural design.

This creator-first framing was used to justify the introduction of new monetization systems. Meta, for instance, claimed it was “helping creators build a business now — and for the metaverse” (ME9), tying present-day revenue tools to a long-term vision of digital success. YouTube emphasized a shift “from fan funding to shopping” (Y49), presenting commerce integrations as opportunities to stabilize and scale creator income. These initiatives were thus presented as corporate expansion or strategic market capture, while appealing as thoughtful, creator-centric solutions to the challenges of making a living online.

In parallel, platforms described their increasing intervention into content production and distribution as efforts to empower creators. TikTok, for example, claimed its Creator Studio would “help creators bring their creativity to life” (T47) and framed new monetization programs as ways to “empower creators to succeed […] with enhanced resources” (T75). X similarly described “creator targeting” as a way for brands to “select and connect” with creators (X2), recasting precision marketing infrastructure as a form of creative matchmaking. Across these initiatives, platforms positioned themselves as facilitators or institutions working to ensure creators were seen, supported, and compensated.

This narrative extended to platform-led efforts to protect creators’ rights. Meta emphasized the introduction of “new tools to protect creators and artists” (Y12), while YouTube claimed to take an “artist-centric approach to AI innovation” (Y48), portraying automation and copyright enforcement systems as creator-friendly safeguards. Such rhetoric invoked care, fairness, and responsibility, masking how platforms continued to dictate the terms of visibility, algorithmic engagement, and ownership. The story was that platforms were on the creators’ side making the expansion of surveillance, moderation, and monetization mechanisms to be reinterpreted as acts of protection rather than control.

Platforms also framed themselves as educators and mentors. Instagram's “Best Practices” hub promised to “help creators learn and grow” (MENE18), while TikTok's “Creator Search Insights” tool encouraged creators to “get inspired” and adapt to emerging trends (T78). Through these tools, platforms offered guidance on how to succeed but also defined what success should look such as within platformized systems constrained by algorithmic logics. Programs such as TikTok's “Creator Rewards Program” (T73) further codified desirable behaviors, gamifying creativity and rewarding those who followed platform incentives. These pedagogical tools, wrapped in aspirational language, also contributed to inculcating logics of conformity toward certain kinds of practices for career advancement.

This vision, as one YouTube release put it, of “the creator economy — where passions become businesses” (Y74) was powerful, but not neutral. Platforms deployed it to often justify deep infrastructural changes and growing asymmetries of power. Yet this paternalistic discourse also served to obscure the dependencies these systems created dependencies on algorithmic visibility, evolving monetization rules, and opaque moderation policies. As others have noted, such narratives often reflect a kind of platform paternalism (Cotter, 2023; Petre et al., 2019), in which governance and control are cloaked in the language of care. Ultimately, these rationalizations also helped render platform control legitimate, desirable, and even benevolent. By centering creators in their narratives, platforms made their interventions appear not only justified but also necessary.

Democratization

Platforms also justified change through the rhetoric of participatory design, invoking a discourse that echoed democratic ideals. They framed their decisions as the product of collaborative processes, where users and creators are not simply governed but actively involved in governance. In doing so, platforms mimicked the structure and discourse of democratic deliberation, seeking input, demonstrating responsiveness, and signaling accountability to their stakeholders (Caplan, 2023. But this performance also often served to legitimate change rather than to redistribute power.

Platforms commonly framed users as co-creators or originators of innovation, thereby urging a vision of user control over the platform's direction. For instance, YouTube introduced a new feature as “A new YouTube Communities experience for fans, by fans” (Y8), suggesting that the feature was driven by user input. YouTube further stated, “To start this journey, we talked to the people who matter most: creators and their fans. We wanted the inside scoop: what they loved, what they didn’t, and what was missing” (Y8). This rhetoric positions users as the source of innovation, implying that the feature emerged from community feedback. While this framing allows for a perceived flexibility between top-down platform development and bottom-up user engagement, the actual decision-making and design processes remained under the control of the platform itself. Even if the change met users’ expressed needs, YouTube's emphasis on “deeper conversations and the formation of lasting connections” ultimately served the platform's business model, reinforcing its goals and benefiting its broader commercial interests. Yet, the document did not offer this as justification for the change.

At times, the language of democratic governance obscured deeper economic motives. When launching the Hype program, YouTube framed monetization shifts as enhancing creator-audience relations, stating, “Giving fans a stake in the success of their favorite emerging creators” (Y9). While this rhetoric encouraged fans and creators to have a say in certain aspects of their interactions, YouTube recast commodification as inclusion, a move in which participation and visibility were granted not as ends in themselves but as means of generating economic value. Inclusion, in this framing, was conditional on one's ability to contribute to platform revenue streams. By presenting monetization as a form of empowerment and audience connection, YouTube foregrounded users’ capacity to voice their interests while obscuring how these democratic ideals often served to legitimate deeper forms of market expansion, datafication, and platform control.

Even when discussing domains of the platform's centralized authority, such as content moderation, platforms invoked a democratic logic. YouTube, for instance, introduced new parental control features as part of “A collaborative approach to teen supervision on YouTube” (Y13; emphasis added). Rather than imposing control from above, the company presented these tools as the outcome of dialogue and mutual care between platformized controls and parental ideas of governance—framing ideas as a shared responsibility rather than a form of unilateral power. This logic extends beyond platform boundaries. In a statement about making its large language model, LLaMA, available to US agencies, Meta appealed to a civic imaginary, stating, “Responsible uses of open-source AI models promote global security and help establish the U.S. in the global race for AI leadership” (MENE12). Meta further claimed,

Our partnership with the U.S. State Department, which includes leading industry voices, promotes safe, secure and reliable AI systems that address societal challenges like expanding access to safe water and reliable electricity, and helping support small businesses.

TikTok similarly employed participatory rhetoric in cultural and commercial domains, whether “celebrating the genre and its vibrant community” through its #ElectronicMusic hub (T25). Such efforts were framed as inclusive and creative, and rendered as community-driven milestones rather than corporate initiatives.

Across these examples, participatory discourse functions as a legitimizing frame. It enables platforms to present themselves as democratic-responsive, inclusive, and accountable—without ceding meaningful control or subjecting themselves to external structures of accountability. In effect, they simulate the practices of democratic governance to resist actual regulation, presenting transformation as community-driven while retaining institutional authority over what change looks like, and for whom.

Connectivity

A final rationalization strategy revolved around connectivity in presenting change as a way to bring people closer together. While enhancing user connection is a long-standing goal of social media, platforms increasingly link connectivity to monetization, surveillance, and growth metrics. Rationalizations in this domain rendered complex infrastructural overhauls or interface changes as simple efforts to improve user experience and community interaction.

Platforms have transformed connectivity into a structured, monetized practice shaped by corporate and ideological imperatives (van Dijck, 2012). Meta, for instance, introduced “Views” as a simplified metric, aiming to streamline understanding of content distribution and, by extension, the connection between creators and audiences (MENE79). Similarly, the development of features such as new stickers in Instagram Stories (MENE36) and various updates to Direct Messaging across platforms are presented as direct efforts to improve how users connect and communicate with one another. Even the reorganization of content through new tabs such as Facebook's “Local” and “Explore” is justified by the promise of helping users discover and connect with content and communities aligned with their interests.

YouTube echoed this focus on connectivity, announcing “New ways to engage your audience and build your community” (Y8). This framing suggested that platform updates are intrinsically linked to fostering stronger relationships between creators and viewers. TikTok similarly emphasizes features designed to deepen user interaction, such as “Flip Stories” (T29) and enhanced Direct Messaging capabilities. These announcements consistently employ language that positions platform changes as direct responses to the desire for more seamless and meaningful connections among users, according to their own definitions of connectivity and treating connectivity as an unquestionable good.

Likewise, TikTok explicitly tied connectivity to creator growth in its statement about the now more widely available subscription feature:

Subscription allows creators to offer their most engaged followers special access to exclusive perks, unique experiences, and a members-only community for a monthly fee. Building on the strong, authentic connections they've already established through their content, creators can use the feature to provide an exclusive space to enhance these relationships and encourage more meaningful engagement. By offering premium experiences, creators can strengthen their community while also enhancing their growth on TikTok to increase their monthly revenue. (T32; emphasis added)

This rationalization reflects a platform logic that commodifies social connectivity by linking it to monetization, with affective engagement optimized for revenue and growth. While changes are framed as user-centric improvements, they also serve platforms’ broader objectives by increasing time spent on sites and apps through engaging content formats, streamlined metrics, and, indeed, stronger connections to creators. Enhanced connectivity thus serves a dual purpose: ostensibly benefiting users while advancing platform goals of engagement and data collection. By emphasizing community building and audience interaction, platforms reinforce user dependence on their sites as central hubs.