Social & Web Scraper
Collect relevant Facebook, Instagram, X, YouTube and web content; read available transcripts and image text.
POLLAB PRESENTSPolitical Laboratory · Private presentationCONNECTED INTELLIGENCE / BY POLLAB
Cortex
Signal
PART OF AZIMUTH
Reads the internet.
Like a human.
The post is only the beginning.
Read the comments. Follow the replies.
Understand the conversation.
Scroll to explore ↓
Political strategy team editionResearch · Language · Evidence
The intelligence mandate
Context is
the advantage.
Cortex Signal follows a conversation the way a researcher would: read the post, follow the replies, interpret the language and keep the context.
01
What is gathering attention?
Trace emerging issues and changes in public discussion.02
What do people actually mean?
Read language, sentiment, irony and the surrounding conversation.03
What can we substantiate?
Keep the source, original wording and analyst judgment together.Designed around the research teamIndependent of party identity
The flagship intelligence layer
Cortex Signal AI
Social and web scraping feeds a connected analysis workflow: collect public conversations, interpret the signal and keep the evidence attached.
Facebook + IGPosts / comments / replies
XPublic posts / threads
YouTubeVideos / comments / replies
CORTEXSIGNAL AI
Telugu contextSentiment & stanceLanguage risk
EvidenceDeskSource + context
Analyst review
Comment + sourceReply + contextThread + timeTelugu meaningIssue + stanceReview flagEvidence recordAnalyst review
01 / Public conversation02 / Organize & interpret03 / Specialized analysis04 / Review
Illustrative motion · Proposed connected experience · Collection requires approved access
Cortex Signal / Part of AzimuthCollection → Interpretation → Review
Connected conversation research
It reads the post.
Then the conversation.
Comments. Replies. Conversations. Cortex Signal follows the discussion across Facebook, Instagram, X, YouTube and relevant websites, keeping each response connected to its original post.
01Facebook
Public pages and accessible posts, comments, replies and video discussions.
02Instagram
Public posts, reels, captions, comments and available reply threads.
03
X
Public posts, replies, quoted posts and the surrounding conversation.
04
YouTube
Video metadata, available transcripts, comments and available replies.
05
Relevant web
News, websites, blogs, forums and official documents relevant to the research scope.
Access-aware collection
Social and web scraping, APIs and authorized exports. Configure relevant sources, keywords and watchlists; collection depends on permitted access and content availability. This presentation is an illustrative demonstration.
Social & web scrapingPublic + authorized material
A research instrument for every layer
The scanning
suite.
A proposed set of focused tools, organized around the questions an analyst needs to answer.
Conversation Scanner
Follow comments, nested replies and discussion threads. Read each response with its parent post and surrounding conversation.
Trend Scanner
Track issue growth, repeat mentions and unusual bursts.
Sentiment & Stance
Separate tone from the position taken toward an issue.
Telugu Analyzer
Interpret Telugu script, Romanized Telugu and mixed language.
Language Risk Analyzer
Review profanity, harassment and potentially threatening language.
Public Figure Lens
Organize public mentions of individual politicians by issue.
Evidence & Coverage Scanner
Detect duplicates, missing replies, unavailable content and claims needing review.
Proposed product architectureSeparate analyzers · Shared evidence
Watchlist Scanner / Proposed module
Keep the important
subjects in view.
Scan selected public politicians, issues, keywords and public source accounts for new mentions, comments, replies and changes worth reviewing.
Named public politicians and verified aliases, with ambiguous mentions held for review.
Your watchlists · 0 / 8
Local demo · Saved only in this browser
Illustrative review queue · Select a watchlist
| Watching | New signal | Source context |
|---|---|---|
| Public Figure A | New issue mention | Public X thread |
| Public Figure B | Comment discussion | Facebook post + replies |
| Public Figure C | Statement reference | YouTube transcript |
01 Configure watchlist02 Scan permitted sources03 Review & digest
Proposed output: a source-linked review queue and scheduled digest, with trend spikes and coverage gaps. Examples are synthetic; this presentation performs no live scanning.
Selected public subjects and sourcesIllustrative interactive demonstration
Trend intelligence
Watch the
conversation move.
Notice when an issue grows, where it begins and whether the replies tell a different story.
A change worth examining
Inspect the source and reply context before drawing a conclusion.
Emergence
Where the issue first appears in the collected material.
Momentum
How attention changes against the selected baseline.
Recurrence
Whether themes return across sources and time windows.
Synthetic demonstrationOnline activity is not representative polling
Sentiment & stance intelligence
Emotion
needs context.
A supportive tone toward one action can sit beside frustration about another. Preserve that distinction.
Proposed analysis separates sentiment, target, issue, stance and confidence. Uncertain language goes to analyst review.
Synthetic comment / analysis example
“Good that the road work started. But why has the drainage issue been ignored?”
Issue 01Road work · Support
Issue 02Drainage · Concern
Overall toneMixed
Analyst reviewCheck the parent post
Proposed standalone analyzerMeaning before a sentiment score
Independent Telugu analyzer
Telugu,
in its own context.
భాషకు సందర్భం ముఖ్యం
Telugu script, Romanized Telugu, English mixing, local expressions and sarcasm need more than a literal translation.
Synthetic language example
“రోడ్డు బాగుంది… వర్షం పడితేనే అసలు సంగతి!”“The road looks good… the real story comes out when it rains!”
Literal reading
An apparently positive statement about the road.
Context to inspect
Possible irony about performance during rain.
Language handling
Script normalization, transliteration and mixed language.
Human calibration
Native language review of dialect, ambiguity and labels.
Proposed specialized moduleIllustrative interpretation · Validation required
Separate language risk analyzer
Distinguish criticism
from abuse.
A dedicated foul language analysis workflow with the speaker, target, context and severity kept visible.
01
Strong criticism
Disagreement, anger and criticism of a public action.
02
Profanity
Offensive wording; context determines its target and use.
03
Directed harassment
Language directed at an individual or a group.
04
Potential threat
Language requiring urgent human assessment.
Flag for review. Retain the evidence.
Quoted speech, satire and counterspeech can be misread. Labels assist human judgment; they do not establish intent, illegality or platform violations.
Telugu + mixed language contextProposed taxonomy · Native language review
Public Figure Lens
One politician.
A fuller public record.
Illustrative dossier
Public
Figure A
Public statements and collected public mentions, organized for source-based research.
| Identity | Public name, role and verified aliases; ambiguous mentions flagged. |
|---|---|
| Issues | Topics linked to public statements, posts and mentions. |
| Reaction | Issue-specific sentiment and stance, with source limitations. |
| Timeline | Statements, events and changes in collected discussion. |
| Evidence | Source links, dates, original wording and review status. |
Compare equivalent sources and time windows. Research public conduct; avoid private-life speculation and sensitive personal profiling.
Individual public politician analysisProposed module · No real person scored here
EvidenceDesk
Every finding
needs a trail.
Keep the original item, reply context, source reference and analyst note attached to the interpretation.
The proposed workflow separates observed material, machine labels and analyst conclusions. A prototype exists; the integrated evidence workflow remains proposed.
EvidenceDesk / specimenED—001
“Has anyone seen an update on the drainage work?”
- Material
- Synthetic public conversation example
- Source reference
- Original post + reply link
- Captured context
- Timestamp, parent item and collection method
- Machine label
- Information request · Civic infrastructure
- Analyst note
- Check the referenced notice before summarizing
Review pending · No verified conclusion
EvidenceDesk / Prototype foundationIllustrative artifact
A connected research workflow
The daily
intelligence brief.
A proposed team rhythm that turns permitted public material into a concise, reviewable account of what changed.
Set the scope
Select public sources, people, issues and the observation window.
Read the signal
Run trend, sentiment, Telugu and language risk analysis.
Review the context
Inspect source items, uncertain labels and competing interpretations.
Publish the findings
Summarize the changes with evidence, limits and open questions.
The team receives
An issue brief · Public figure dossier · Language risk review · Evidence register · Questions for further research
Proposed operating modelHuman review before distribution
A clear view of readiness
The foundation.
The next build.
| Component | Current basis | Proposed next step |
|---|---|---|
| Social & web scraping | Available capability | Configure relevant sources, keywords, collection windows and access. |
| Facebook & Instagram | Included source coverage | Define accessible pages, posts, comments and reply coverage. |
| EvidenceDesk | Prototype | Connect source capture, review and evidence export. |
| Connected intelligence suite | Proposed | Build and evaluate the specialized analyzers and team workflow. |
A focused validation pilot
Agree the source scope. Assemble a reviewed Telugu benchmark. Evaluate retrieval coverage, language labels, source traceability and analyst effort before defining wider deployment.
Collection scope + workflow readinessNo performance claims implied
Cortex Signal / The strategist edition
Read the signal.
Keep the context.
Comments reveal reactions. Replies add context. Conversations reveal the bigger picture. Cortex Signal brings them together — with sentiment, Telugu meaning and the source in view.
CORTEX SIGNALPart of AZIMUTHSocial & web intelligence · Part of Azimuth
Presented byPOLLABPolitical Laboratory
This is a separate strategist-team presentation. Social and web scraping is part of the Cortex Signal capability set. Integrated analyst workflows are shown as a product vision; examples and visual data are illustrative.
Presenter: Political Laboratory ↗ · Foundation: Azimuth reference presentation ↗
Private presentationScope · Validate · Build