In political communication, conventional wisdom suggests that false narratives and provocative rhetoric must be met with immediate fact-checking, public criticism, and debate. However, insights shared by Brazilian Congressman André Janones, a key digital strategist who built the 10-million-strong Exército do Lula (Lula’s Army) during Brazil’s 2022 presidential race, argue that this approach often backfires.

According to Janones, reacting to opposing far-right content feeds the very mechanism that drives its reach: the recommendation algorithm. To suppress malicious or polarising messaging, the most effective tactic is neither public confrontation nor blocking accounts, but deliberate and total disengagement.

The Problem With Direct Engagement and Blocking
Modern social media platforms treat engagement as a primary signal of value. Algorithms generally do not distinguish between positive and negative sentiment; an angry comment, a quote tweet debunking a claim, or an extended dwell time on a video are all recorded as interest, directly boosting the post’s visibility across user feeds.

Common defensive actions can also fall short:

  • Debunking in public threads: Replying directly or quoting a post to point out inaccuracies grants the original author engagement points, effectively expanding their distribution.
  • Blocking accounts: While blocking prevents an individual user from seeing content, it signals to platform algorithms that the absence of interaction is due to an intentional block rather than natural disinterest. Consequently, it does little to dampen the account’s broader momentum across the network.

To starve high-conflict narratives of reach, the objective is to teach the algorithm that the content lacks demand. This relies on strict behavioral discipline:

  • Scroll Past Immediately: Spend no more than a second on opposing content. Avoid clicking on links, reading attached threads, or watching embedded videos, as dwell time is actively tracked.
  • Withhold All Metrics: Never like, share, quote, reply to, or comment on the target posts.
  • Trigger Algorithmic Deprioritization: When large cohorts of users consistently ignore specific material without interacting, the algorithm determines that the content is irrelevant to the audience, naturally diminishing its impressions across the platform.

A complete blackout does not mean leaving false claims unaddressed. When a specific message or trend requires public scrutiny, the interaction must be detached from the original distribution channel.

Instead of sharing direct links or quoting accounts, users are advised to take screenshots of the material. By uploading an isolated image within a new, independent post or internal group discussion, creators can contextualize and refute points without feeding engagement back to the source.

Suppressing hostile narratives is only half the battle; the remaining effort requires organized content generation. Digital movements must focus their collective energy on drafting original messages, launching independent hashtags, and organizing coordinated distribution networks.

Social media algorithms are driven by attention. Denying provocative content the engagement it requires while actively occupying digital feeds with proactive messaging neutralizes propaganda at its algorithmic root.