SSMIP tracks it that way — fusing continuous AI-driven media listening with nationwide probability-sample surveys, so government agencies see sentiment shift in real time, validated against the population that actually votes, decides, and complies.
Designed to Serve National Institutions
Weekly snapshots, disinformation advisories, and transparency reports, published on a rolling basis.
Each component feeds the next — from raw listening to a decision-ready dashboard.
Continuous, automated tracking of news portals, broadcast transcripts, and public social discourse.
NLP/transformer classifiers identify dominant narrative frames and coordinated activity.
Early detection of sentiment spikes or reversals while a shift is still forming.
Digital signals calibrated against a national probability-sample survey.
Trend lines, regional breakdowns, and narrative summaries, issued on a rolling basis.
SSMIP fuses both into a single, methodologically defensible pipeline.
Rigorous, face-to-face sampling. Only a snapshot at a fixed point in time.
Tracks sentiment in near real time. Reflects only the self-selected population online.
A single pipeline, calibrated against a national probability-sample survey — reflecting the actual national population, urban and rural, online and offline.
A Philippine-owned, domestically hosted data pipeline.
Near-real-time detection of sentiment shifts on security-sensitive issues.
Detects and characterizes coordinated inauthentic activity.
Training and retaining Filipino researchers and engineers in applied NLP, ML, and data science.
Available on a continuous, shared basis to any agency or committee that needs them.
Updated on a rolling basis, for partner agencies and congressional offices.
During emerging incidents or crises, on a timeline far shorter than a separately commissioned rapid survey.
Regular reports cross-checking digital sentiment trends against probability-sample survey data.
Flagging suspected inauthentic narrative campaigns for relevant agencies.
Published as a public good, supporting evidence-based national discourse.
For agency personnel interpreting sentiment and media-intelligence data.
Commissioned by individual agencies or committees, at a fraction of separately procured private-sector study costs.
For anything not covered here, reach out directly — see Contact Us.
A continuous sentiment- and media-intelligence monitoring program combining AI-driven media listening with nationwide probability-sample surveys, hosted by the Computational Research Laboratory at the UP Institute of Mathematics.
Executive branch agencies, Congress, and national security/foreign affairs agencies — SSMIP is designed as a shared national facility, not a single-client system.
SSMIP is hosted within a public academic institution — the Computational Research Laboratory at the UP Institute of Mathematics — rather than a private commercial vendor.
Digital and social-media sentiment signals are cross-checked against a nationwide probability-sample survey, so findings reflect the actual population, not just the self-selected population active online.
Dashboards update on a rolling basis; Weekly Monitoring Reports are issued every week, with rapid briefs available on-demand during emerging incidents.
The CRL is a technical facility at the UP Institute of Mathematics, Diliman, a facility for applied and computational mathematics research. SSMIP is housed within this public academic institution rather than a private commercial vendor.
Request a briefing to see how SSMIP's continuous dashboards and survey-anchored validation could support your agency.
