Foreign Information Manipulation and Interference in the 2026 Brazilian Elections

Situation Overview

The aftermath of the 2026 Brazilian general elections has been defined by allegations that major internet platforms favored right-wing candidates through algorithmic amplification and potential boosting. This report analyzes it as a significant vulnerability in democratic digital infrastructure. The disproportionate visibility of specific political accounts spotlights the systemic risks embedded in engagement-based recommendation mechanisms and their intersection with automated coordinated behavior.

The Mechanics behind Social Media

One of the vulnerabilities lies in the algorithmic architecture designed to maximize user retention. Empirical research has consistently demonstrated that engagement-optimized algorithms inherently amplify emotionally charged, polarizing, and out-group animosity content, which frequently matches right-wing populist communication techniques [1, 2].

In the context of the 2026 Brazilian elections, this architecture functioned as an opaque mediator. Coordinated inauthentic networks exploited the platforms' algorithmic vulnerabilities to transition manipulated content from the fringes of the network to the central public debate such as the "echo chamber" effect and automated trending prioritization. This factor accelerates the spread of FIMI campaigns, directly impacting the behavior of voters by exposing them to artificial consensus [3].

Amplification vs. Hardcoded Boosting

A critical distinction must be made regarding the nature of the algorithmic bias observed in the 2026 elections. Regulatory responses depend on whether the phenomenon resulted from algorithmic amplification or algorithmic boosting. Therefore, the establishment of the "CPI das BigTechs" provides an indispensable institutional tool to mandate corporate accountability and investigate potential manual interventions in the digital public sphere [4].

If the disproportionate reach of right-wing narratives was purely a byproduct of engagement-optimized algorithms prioritizing content that polarizes (Algorithmic Amplification), the issue is one of systemic negligence and failed risk mitigation. However, if platform executives mandated manual interventions to alter algorithmic weights, apply artificial multipliers to specific political accounts, or manipulate visibility (Algorithmic Boosting / Hardcoding), the paradigm shifts. Hardcoded boosting transitions the platform from a negligent mediator to an active political participant. Under Brazilian electoral law, such intentional algorithmic manipulation could be classified as an illegal, undeclared corporate campaign contribution, representing a direct corporate interference in state sovereignty.

Brazil vs. the European Framework

Brazil’s current electoral integrity mechanisms rely on reactive content moderation and judicial takedowns managed by the Superior Electoral Court (TSE) [5]. Although effective for specific violations, this model is insufficient against the mechanics behind social media involving FIMI, which operates systemically rather than at the individual content level.

By contrast, the European Union's Digital Services Act (DSA) constitutes a paradigm shift from content-based moderation to systemic risk governance. Under the DSA, Very Large Online Platforms (VLOPs) must conduct independent risk assessments to determine how their algorithms, advertising systems, and terms of service affect civic discourse and electoral processes [6]. The Brazilian framework lacks a structural equivalent to these preventive audits, leaving the democratic order vulnerable to the business models of transnational technology corporations [7].

Policy Recommendations

To protect digital public spaces and reduce the impact of algorithmic interference in future democratic procedures, policymakers and regulatory agencies must adopt a multi-level governance approach:

• To distinguish between systemic amplification and intentional hardcoding, legislative frameworks must grant electoral and regulatory authorities the power to mandate independent source code audits. This is the empirical method to verify whether platforms are operating as active, undeclared political participants through manual manipulation of recommendation weights.

• Electoral authorities and digital regulators should require VLOPs to conduct and publish risk assessments before electoral cycles, explicitly mapping how their recommendation algorithms might amplify coordinated political behavior (modeling Article 34 of the DSA) [6].

• Legislative frameworks must enforce mandatory data access for vetted independent researchers to map the topology of FIMI networks and measure the speed of algorithmic contagion [6, 8]. Without access to structured platform data, civil society cannot independently verify claims of political bias or artificial amplification.

• Transitioning from content deletion to threat attribution, democratic blocs must build unified institutional capabilities to trace the origin of inauthentic networks and distinguish legitimate political expression from hostile and coordinated amplification [9].

Author: Leonardo Guimarães

Date: 08 November 2026

Themes: Information and disinformation; Governance and regulation; Comparative policy analysis; Democracy; Artificial intelligence and the law. 

References

[1] Huszár, F., Ktena, S. I., O’Brien, C., Belli, L., Schlaikjer, A., & Hardt, M. (2022). Algorithmic amplification of politics on Twitter. Proceedings of the National Academy of Sciences (PNAS), 119(1).

[2] Rathje, S., Van Bavel, J. J., & van der Linden, S. (2021). Out-group animosity drives engagement on social media. Proceedings of the National Academy of Sciences (PNAS), 118(26).

[3] European External Action Service (EEAS). (2024). 2nd EEAS Report on Foreign Information Manipulation and Interference Threats: A Framework for Networked Defence.

[4] Coding Rights. (2026). As big techs vão ter que se explicar: lançamos o dossiê CPI das Big Techs e Eleições. https://cpibigtechs.org/ 

[5] Tribunal Superior Eleitoral (TSE). (2024). Resolução nº 23.732/2024. Brasília, Brazil. 

[6] European Parliament and Council of the European Union. (2022). Regulation (EU) 2022/2065 (Digital Services Act). 

[7] Wagner, B. (2023). Algorithmic Accountability and the DSA: Towards a European Framework. Journal of Transnational Governance, 4(2), 112-130. 

[8] European Commission. (2024). Guidelines for Providers of VLOPs and VLOSEs on the Mitigation of Systemic Risks for Electoral Processes. Brussels, Belgium.

[9] Pamment, J. (2020). The EU's Role in Fighting Disinformation: Taking Back the Initiative. Carnegie Endowment for International Peace.