Decode the hidden signals of public discourse.
Built for analysts, researchers, and public institutions monitoring public discourse and how it is received.
AgoraLens analyzes public communication and audience reaction in real time, helping you identify emerging narratives and shifts in rhetorical intensity before they reach the headlines.
Public data. Transparent metrics. No intent attribution.
Tracking public discourse across diverse actors, groups, and organizations in Finland.
Beyond basic social listening.
AgoraLens goes beyond likes, shares, and volume metrics. We focus on how arguments are constructed and how audiences respond over time, revealing patterns that traditional monitoring tools miss.
- Focus on discourse structure, not engagement vanity metrics
- Longitudinal analysis instead of isolated posts
- Audience reaction dynamics (support, opposition, backlash), not just sentiment snapshots
- All metrics are explainable, versioned, and auditable
Key Capabilities
System-level discourse monitoring
Provide a real-time, high-level overview of public communication and audience response across the entire system. Identify periods of escalation, stabilization, or abnormal activity using consistent, quantitative metrics.
Main Dashboard: Time-series with Intensity/Volatility/Volume
Group-level aggregation and dynamics
Aggregate signals across all members of a group or organization to understand collective rhetoric, escalation patterns, and internal drivers. Enables analysis at the institutional level rather than individual posts.
Party Detail: KPI tiles and collective time-series
Actor-level rhetoric monitoring
Track how individual actors communicate over time using consistent, comparable metrics. Supports comparison across actors, groups, and periods.
Account View: Actor KPI snapshot and rhetoric timeline
Audience Reaction & Backlash Analysis
Quantify how messages land with the public—support, opposition, and backlash—using public replies and structured thresholds.
Based on public replies only. Sampled for representativeness. No intent attribution.
Transparent post-level analysis
Each public post is analyzed using explicit linguistic and contextual indicators. Metrics are shown alongside original content to support explainability, auditability, and human interpretation.
Post Detail: Original text with Intensity/Volatility badges
Near-real-time discourse monitoring
Public posts are ingested and analyzed continuously, enabling timely visibility into emerging high-risk discourse. Designed for monitoring, not prediction.
Risk Feed: Timestamped alerts with risk badges
How it works
Data ingestion
AgoraLens ingests publicly available posts and reactions from supported platforms.
Structured analysis
Measure rhetorical intensity, volatility, and audience reaction using public replies and deterministic rules.
Visualization & context
Results are presented alongside original public content, timelines, and confidence indicators to support interpretation.
No private data. No inferred intent. Metrics are probabilistic indicators. AgoraLens does not predict individual behavior, target individuals, or infer private attributes.
Built for professionals working with public discourse.
Journalists & Newsrooms
Contextualize reporting with longitudinal discourse patterns and audience response signals.
Researchers & Think Tanks
Access structured, time-based data for studying political communication and public reaction.
Public Affairs & Policy Teams
Monitor how public statements resonate and evolve across audiences.
Parliamentary Research Services
Support committee work and briefings with structured, time-based analysis of political discourse.
Transparent by design.
AgoraLens analyzes publicly available data using explicit, documented metrics. The platform does not assess personal beliefs, intentions, or private behavior.