How Change.org Leveraged Video Infrastructure and Mux to Authenticate Global Petitions and Expand Activism

In the contemporary digital landscape, digital activism has evolved far beyond static text signatures on a webpage. For Change.org, the world’s largest petition platform boasting over 500 million users, mobilizing global citizens requires dynamic tools that capture human emotion, prove authenticity, and drive tangible legislative and social change. From local environmental battles to major human rights campaigns, video has become the central medium through which petitioners and supporters articulate their stories. However, scaling video infrastructure across hundreds of millions of users presents monumental technical and security challenges. To address these hurdles, Change.org recently executed a rapid, highly successful migration of its video infrastructure to Mux, fundamentally transforming how engineering and marketing teams analyze engagement, combat fraudulent bot traffic, and verify genuine human participation in civic causes.

The Genesis of Global Digital Petitions and the Rise of Visual Advocacy

Founded to empower everyday individuals to petition decision-makers—ranging from local municipal councils to multinational corporate executives—Change.org has played a pivotal role in thousands of historic victories over the past two decades. These successes include mandated environmental cleanups, the release of wrongfully detained individuals, and the rewriting of restrictive laws. Yet, as the volume of digital campaigns has surged, so too has the sophistication of online threats and the scrutiny placed upon digital advocacy platforms.

In recent years, government bodies and institutional decision-makers reviewing petitions have increasingly questioned the authenticity of digital signatures, pressing platforms to prove that campaigns are supported by real human beings rather than automated software programs or malicious bots. Simultaneously, the proliferation of generative artificial intelligence and large language models (LLMs) has saturated the internet with synthetic media and text, creating a paradoxical crisis of trust. In an era where text and digital identities can be easily fabricated, human voices and faces have emerged as the ultimate currency of authenticity.

Recognizing this paradigm shift, Change.org introduced "Supporter Voices," an innovative feature allowing individuals who sign a petition to record a short, vertical video explaining why a specific cause matters to them. While optional, adoption rates have climbed steeply. For instance, a viral campaign opposing a controversial resort development projected to displace local communities and devastate marine ecosystems garnered more than 1,200 individual supporter videos. According to Grethel Bello Cagnant, a Staff Production Engineer at Change.org, the integration of human faces provides an irreplaceable level of personal connection that static text messages simply cannot replicate.

Furthermore, while video submissions are not formally mandated as legal proof of identity by reviewing governments, they form a critical layer in Change.org’s holistic approach to trust and safety. The platform incorporates sophisticated scoring mechanisms for Supporter Voices, ranking videos higher in public feeds based on the verifiable presence of a human face. Content featuring individuals clearly speaking on camera outperforms off-camera audio or AI-altered imagery, ensuring that authentic human narratives remain visible to decision-makers and the public alike.

The Technical Imperative: Why Change.org Migrated to Mux

Behind the scenes of these emotional, high-impact video campaigns lies a complex web of engineering challenges. When the contract with their legacy video service provider approached its expiration date, the engineering leadership at Change.org initiated a rigorous evaluation of alternative video infrastructure vendors. The primary objective was to find a robust, scalable solution that not only handled high-throughput video processing seamlessly but also offered comprehensive, actionable data analytics.

Olga Fetisova, Senior Manager of Quality & Production Engineering at Change.org, noted the severe limitations of their previous vendor. "With our other provider, we had no useful data, just the number of minutes and the top countries. And we already had that information anyway," Fetisova explained. The lack of granular visibility into playback errors, audience retention, and engagement metrics hindered both engineering troubleshooting and marketing optimization.

Following a thorough market assessment, Change.org selected Mux, primarily drawn to its reliable video infrastructure coupled with free, built-in data analytics. The transition represented a critical upgrade for cross-functional teams. While the engineering department gained the ability to proactively isolate and resolve streaming errors, the marketing division unlocked deep insights into which specific video campaigns were driving viral engagement and signature momentum.

A Swift and Seamless Migration Timeline

One of the most remarkable aspects of the transition to Mux was the sheer speed and efficiency with which it was executed. Operating under tight resource constraints, a lean three-person engineering team at Change.org managed the entire migration process from inception to completion in just over a month.

"It went really smooth," Olga Fetisova recalled, highlighting the effectiveness of modern developer-first video APIs. This rapid deployment minimized operational downtime and allowed the engineering unit to pivot quickly toward optimizing user experience rather than troubleshooting complex backend integrations.

Uncovering Bot Activity and Optimizing Cost Structures

Shortly after Mux Data went live, the Change.org engineering team uncovered immediate, high-value intelligence regarding their platform traffic. Comprehensive analytics revealed anomalies in video playback patterns, exposing sophisticated bot networks that were systematically loading petition pages and playing embedded videos all the way through without human intervention.

In the digital infrastructure space, unmonitored bot traffic can quietly inflate bandwidth costs and distort engagement metrics. Armed with precise data from Mux, Change.org was able to identify and mitigate this fraudulent activity, safeguarding operational budgets and ensuring that platform metrics accurately reflected genuine human engagement.

Beyond security and cost control, the integration of Mux Player delivered unexpected operational efficiencies. Historically, modifying the visual aesthetics of the video player—such as adjusting brand colors, sizing, or interface styling—required a tedious, multi-step development lifecycle. This traditional workflow necessitated code modifications, rigorous quality assurance (QA) testing, and a formal software release cycle.

With Mux Player, those administrative bottlenecks were eliminated. "I don’t need to go through all the code to make that change. I can just add some parameters to the URL," noted Grethel Bello Cagnant. This streamlined approach empowered production engineers to implement UI updates dynamically, saving countless hours of engineering labor.

Expanding Global Reach Through Automation and AI

Despite its massive global footprint, digital activism often encounters linguistic and geographical barriers. Change.org’s petitioners originate from diverse corners of the globe, yet successful campaigns—particularly video narratives—frequently circulate primarily in English. Consequently, a groundbreaking petition and its accompanying video testimonials originating in Brazil or Indonesia often remain localized, limiting their international solidarity and impact.

To bridge this critical gap, Change.org’s engineering team is actively exploring advanced platform capabilities, including Mux Robots for automated captioning and real-time translation. By automating the localization of Supporter Voices and impact stories, the platform aims to make local struggles universally understandable, thereby amplifying international pressure on decision-makers.

In addition to translation tools, the organization is investigating Mux’s Model Context Protocol (MCP) server integration. This cutting-edge capability would allow engineers and data analysts to query video performance metrics through conversational AI interfaces rather than navigating complex, traditional dashboards. By querying data conversationally, teams can extract actionable insights at unprecedented speeds, further refining how video is deployed to catalyze social change.

Broader Industry Implications and the Future of Digital Activism

The partnership between Change.org and Mux illustrates a broader evolution in how digital platforms manage media infrastructure, security, and user trust. As governments and regulatory bodies worldwide tighten scrutiny on online communications, platforms that facilitate public discourse must adopt transparent, verifiable, and technologically resilient systems.

By prioritizing human-centric video verification through Supporter Voices, Change.org is setting a new benchmark for credibility in digital advocacy. Simultaneously, the platform’s seamless migration to a data-rich video infrastructure provider demonstrates that modern engineering teams can achieve operational excellence, robust bot detection, and cost optimization without sacrificing velocity.

As digital movements continue to shape public policy, corporate accountability, and social justice across the globe, the intersection of high-performance video streaming and authentic human storytelling will remain indispensable. For Change.org, the successful integration of Mux ensures that every voice recorded on the platform is not only seen and heard but securely authenticated and strategically amplified to change the world.