An initiative of Risa Supporters Bayanihan Youth

Ethical Public Sentiment Intelligence

Turning public conversations into support drivers, hesitation points, and presidential viability signals.

Is Risa seen as presidential today?

Public data only Aggregated signals Source-linked findings No voter profiling
View Dashboard Preview See Research Questions Generate Executive Report
Official portrait of Senator Risa Hontiveros
Official portrait source: Commission on Appointments
Presidential Viability Signal 54% Strong pilot signal
Risa Dashboard Preview
Live scan

Presidential Viability Signal

Risa sentiment mix

Supportive54%
Open / Unsure31%
Hesitation15%
Presidential Viability Signal54%

Emerging public narratives

Support drivers for Risa cluster around trust, accountability, and reform credibility.
Hesitation points focus on readiness, coalition breadth, and national executive framing.
Presidential viability signals track comparison language and momentum cues.

Sources watched

Social News Forums Search Communities Commentary
From public signal to executive brief Summaries, alerts, and dashboards designed to show what drives support, hesitation, and national viability.
Public Sentiment Track supportive, open / unsure, hesitation, and viability conversation patterns.
Support Drivers Identify the themes, values, and issues that create favorable movement.
Hesitation Points Surface the doubts, objections, and readiness questions slowing support.
Presidential Viability Signals Measure two-candidate comparison language, momentum, and national fit.

Strategic visuals

Live Intelligence Views

Three executive-ready previews show where sentiment is forming, how narratives are moving, and what the team should review first.

Executive Intelligence Snapshot

Top signals for a quick morning brief: support, hesitation, geography, teacher-sector response, and risk review.

Priority brief
Strongest support driver Integrity and accountability Positive mentions cluster around Senate oversight, clean governance, and trustworthiness.
+18 signal lift
Biggest hesitation point Can she win nationally? Conversation asks whether support can grow beyond already sympathetic audiences.
Watch: electability
Most active city Quezon City Highest visible discussion volume in the pilot, led by civic and youth conversation.
High volume
Teacher-sector signal Open but issue-specific Teacher conversations respond to pay, benefits, classroom burden, and education reform.
Persuadable
Latest risk alert Fear-based narratives Flagged posts should be source-checked before summary, response, or escalation.
Human review

Philippines Signal Map

City-level sentiment signals show where support, openness, and hesitation appear in public conversation.

Geo scan
Supportive cities 3

Quezon City, Cebu, and Baguio show favorable or competitive early conversation.

Open / unsure 3

Cagayan de Oro, Zamboanga, and General Santos need more local proof points.

Hesitation watch 1

Davao shows guarded language around polarization and regional fit.

Narrative Momentum Timeline

Tracks how public narratives rise, cool, or spike during the pilot listening window.

48h pilot
Support drivers rising Viability gaining Hesitation cooling Risk spike
Start Baseline scan Initial conversation volume establishes support, open, and hesitation categories.
Momentum Integrity narratives rise Trust, Senate performance, and accountability language become stronger support drivers.
Risk Misinformation spike A small cluster of fear-based claims is flagged for source checking and human review.
Readout Viability signal improves More conversations compare Risa as a serious two-candidate option.

Research Questions

What RSBY Answers

Is Risa Hontiveros seen by the public as qualified to run for president today, and would people vote for her if there were only two candidates?

What are people saying about Risa?

Maps the dominant public narratives, recurring phrases, and conversation themes around Risa Hontiveros.

What do people like about her?

Identifies the values, actions, and issue positions most often linked with positive support.

What do people dislike, fear, or hesitate about?

Surfaces doubts, objections, readiness questions, and negative themes that may slow support.

Is she seen as presidential?

Measures whether public conversation frames her as credible, national, executive, and ready to lead.

Does she show two-candidate viability?

Tracks head-to-head comparison language, persuasion signals, and willingness to choose her in a narrowed race.

Which cities show early support?

Highlights local conversation clusters where favorable sentiment, curiosity, or momentum appears first.

Which sectors show openness, resistance, or uncertainty?

Segments public conversation by civic, youth, professional, regional, and issue-based audiences.

City and sector analysis

City and Sector Signals

Placeholder city-level dashboards show how RSBY would compare local sentiment, recurring topics, support cues, and resistance signals across priority public conversation markets.

Quezon City

Supportive
Local sentimentPositive and discussion-heavy among civic, youth, and professional audiences.
Common local topicsIntegrity, Senate performance, women's rights, public trust, and governance reform.
Public concernsCost of living, electability, and whether national coalition support is broad enough.
Local support signalsAccountability language, campus conversations, and issue-based praise.
Local resistance signalsPolarization fatigue and skepticism about presidential readiness.

Davao City

Guarded
Local sentimentOpen but cautious, with stronger questioning than endorsement in early mentions.
Common local topicsMindanao inclusion, national reach, public safety, rights advocacy, and opposition identity.
Public concernsPolitical polarization, regional fit, and perceived distance from local priorities.
Local support signalsRespect for Senate oversight work and anti-corruption framing.
Local resistance signalsPartisan loyalty, trust barriers, and pushback against opposition labels.

Cebu City

Competitive
Local sentimentMixed-positive with active comparisons around competence and leadership style.
Common local topicsEducation, business confidence, public trust, governance, and anti-corruption.
Public concernsEconomic platform clarity, executive experience, and coalition strength in Visayas.
Local support signalsIntegrity cues, reform credibility, and favorable issue-based mentions.
Local resistance signalsWinability doubts and preference for more familiar national contenders.

Cagayan de Oro

Emerging
Local sentimentEarly curiosity with small but meaningful pockets of favorable conversation.
Common local topicsGood governance, disaster readiness, education access, youth opportunity, and rights.
Public concernsWhether campaign attention would reach Northern Mindanao communities.
Local support signalsPositive reaction to accountability, education, and social protection themes.
Local resistance signalsLow name-to-president conversion and limited local narrative depth.

General Santos

Uncertain
Local sentimentLow-volume and uncertain, with opinion still shaped by national rather than local narratives.
Common local topicsJobs, agriculture, fisheries, cost of living, Mindanao visibility, and security.
Public concernsEconomic platform clarity and whether national messaging speaks to local livelihoods.
Local support signalsTrust language appears when conversations mention clean governance and fairness.
Local resistance signalsWeak local familiarity and limited evidence of organic campaign momentum.

Zamboanga City

Watch
Local sentimentWatch-list market with cautious discussion and room for issue-based openness.
Common local topicsPeace and security, education, social services, regional inclusion, and public trust.
Public concernsNational reach, local relevance, and confidence in managing security-sensitive issues.
Local support signalsRights-based credibility and concern for vulnerable communities.
Local resistance signalsSuspicion of national political narratives and low local proof points.

Baguio City

Supportive
Local sentimentPositive-leaning among civic, education, youth, and professional conversations.
Common local topicsEducation, good governance, environment, human rights, and public-sector integrity.
Public concernsElectability, national coalition scale, and economic message clarity.
Local support signalsIssue literacy, reform identity, and favorable teacher-sector overlap.
Local resistance signalsConcern that support may be concentrated in already sympathetic circles.

Sector signal

Teacher-Sector View

A preview of how RSBY would monitor public education-related conversations, teacher sentiment, DepEd issues, and whether Risa Hontiveros is seen as relevant to educators.

1

Teacher support

Tracks favorable mentions from educators, education advocates, parents, and civic groups who associate Risa with fairness, rights, and public accountability.

2

Teacher concerns

Surfaces hesitation around workload, classroom resources, career progression, and whether national leaders understand daily school realities.

3

Education policy mentions

Organizes public references to curriculum quality, learning recovery, student welfare, school safety, and education budget priorities.

4

Salary and benefits concerns

Highlights conversation around pay, benefits, allowances, contract security, inflation pressure, and whether teachers feel materially supported.

5

Classroom and DepEd-related issues

Monitors mentions of overcrowded classrooms, administrative burden, DepEd implementation gaps, learning materials, and school-level support.

6

Perception of Risa's relevance to teachers

Measures whether teacher-sector conversations connect her Senate record and rights advocacy to credible education leadership.

Public data and ethics notice

Ethical Public Sentiment Intelligence

RSBY is designed as a research and intelligence system, not a manipulation tool. It uses public data only, does not access private messages, does not expose ordinary citizens, and does not create voter profiles or microtargeting lists.

Use public data only.
Do not access private messages or private groups without permission.
Do not collect unnecessary personal information.
Do not show names of ordinary citizens in the dashboard.
Do not build voter profiles.
Do not create microtargeted persuasion lists.
Do not use bots, fake accounts, or false amplification.
Clearly label AI-generated summaries.
Keep all findings evidence-based and source-linked.