Status: Planned (Enabled through adversarial disputes with predefined rulesets)
The real problem with content moderation
Any platform that allows users to publish content eventually faces disputes around moderation. This includes:- social networks,
- creator platforms,
- marketplaces with reviews,
- community forums,
- DAO governance platforms,
- collaborative knowledge bases.
it’s who decides and how.
Real-world moderation disputes
These situations are extremely common:- A creator claims their content was unfairly removed.
- A user is banned for “policy violations” they don’t fully understand.
- A review is flagged as abusive, but the author says it’s legitimate.
- A post is reported as misinformation, but evidence is disputed.
- A DAO proposal is removed or censored due to governance conflicts.
- subjective interpretation,
- contextual nuance,
- reputational and economic impact.
Why centralized moderation breaks trust
Most platforms rely on:- internal moderators,
- opaque guidelines,
- automated filters,
- or ad-hoc admin decisions.
- ❌ Platforms act as judge and executioner
- ❌ Decisions are opaque
- ❌ Appeals are limited or non-existent
- ❌ Bias accusations are inevitable
- ❌ Moderation does not scale fairly
- censored,
- unheard,
- arbitrarily punished.
Automation alone is not enough
Automated moderation:- is fast,
- is cheap,
- is necessary at scale.
- edge cases,
- context-heavy disputes,
- nuanced human judgment.
- false positives,
- unjust bans,
- content chilling effects.
- does not scale,
- is expensive,
- introduces bias.
The missing layer: neutral, scalable adjudication
This is where Justly fits naturally. Justly provides:- independent dispute resolution,
- transparent decision-making,
- human judgment without centralized power,
- enforceable outcomes.
only contested or high-impact cases.
How Justly integrates with moderation systems
Typical flow:- Content is flagged or moderated.
- A user disputes the decision.
- The case is escalated to Justly.
- Evidence is submitted:
- platform rules,
- content context,
- prior behavior,
- moderation rationale.
- Independent jurors evaluate the case.
- A ruling is issued.
- The platform enforces the outcome automatically.
Example: creator platform dispute
- A video is removed for “policy violation”.
- The creator claims fair use and educational intent.
- The platform’s automated system rejects the appeal.
- the creator submits context and references,
- jurors evaluate intent, rules, and proportionality,
- the ruling determines:
- content restoration,
- partial restrictions,
- or justified removal.
Example: DAO or community moderation
- A proposal is removed for being “spam” or “off-topic”.
- The proposer disputes political or personal bias.
- neutral evaluation by jurors,
- rule-based judgments,
- legitimacy without centralized censorship.
- DAOs,
- open communities,
- governance-heavy platforms.
Benefits for platforms
For the platform- Reduced moderation liability.
- Clear separation between rules and enforcement.
- Scalable handling of edge cases.
- Fewer accusations of censorship or favoritism.
- Real appeal mechanisms.
- Transparent outcomes.
- Confidence that disputes are judged fairly.
Content moderation needs legitimacy, not just rules
Rules alone don’t create trust.Legitimate enforcement does. Justly transforms moderation from:
- opaque authority → transparent process,
- centralized power → distributed judgment.
The takeaway
Content moderation fails when:- users feel silenced,
- decisions feel arbitrary,
- appeals go nowhere.
- moderation remains scalable,
- disputes remain resolvable,
- platforms remain trusted.
Moderation-related disputes are commonly suited for Tier 1 or Tier 2, where rapid resolution and consistent enforcement are critical. See Dispute tiers.