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AI-Powered Social Media Sentiment Analysis for Veterans Affairs

Planning & Decision-making

What it collects

About behaviour
Anonymized data
  • Public comments and posts made by users on Veterans Affairs Canada's social media platforms. The register states no personal information is involved; data is treated as public behavioural expression without individual identification.
Run by
Veterans Affairs Canada (VAC)
Where
No fixed location
Kept
Not stated by the Helpful Places.
Shared with
Accountable organization, Vendor
Your copy
You cannot see the data it holds about you. What you can do

What it is for

Planning & Decision-making

This system uses natural language processing to automatically analyze the sentiment of public comments posted on Veterans Affairs Canada's social media platforms. It is operated by Government of Canada employees to track how the public feels about VAC's communications and services. The system processes publicly posted social media content and does not collect personal information. Members of the public are not informed that AI is being used to analyze their comments.

What it collects and what happens to it

Data taken in

About behaviour
Anonymized data
  • Public comments and posts made by users on Veterans Affairs Canada's social media platforms. The register states no personal information is involved; data is treated as public behavioural expression without individual identification.

Processing

Affect & Emotion Analysis
  • Sentiment analysis is applied to public social media comments to classify emotional tone, providing performance analytics for VAC's social media channels. The system uses Hootsuite's NLP pipeline.

What it does

Deciding (Analytical AI)
Human decides
  • The system classifies and scores public social media comments by sentiment (positive, negative, neutral) to produce analytics. Human GC employees review and act on the analytics output; the AI does not make autonomous decisions.
Understanding (Semantic AI)
Human decides
  • Natural language processing is used to extract meaning and sentiment from public social media text, interpreting the tone and intent of comments posted about Veterans Affairs Canada.

Outputs

About a measurement
Anonymized data
  • Sentiment scores and analytics reports aggregated across VAC's social media platforms, indicating overall positive, negative, or neutral public response. Output is used internally by GC employees to assess communications performance.

Run by

Veterans Affairs Canada (VAC)
  • Veterans Affairs Canada is the federal department that deploys and uses this sentiment analysis system to manage and evaluate performance across its social media platforms.

Government of Canada Algorithmic Impact Assessment Registry — 2526-VAC-ACC-008

Built by

Hootsuite
  • Hootsuite is the vendor that developed and supplies the social media management platform including the sentiment analysis AI capability used by Veterans Affairs Canada.

Government of Canada Algorithmic Impact Assessment Registry — 2526-VAC-ACC-008

Kept for

Not stated by the Helpful Places.

Shared with

Available to the accountable organization
  • Analytics and sentiment outputs are available to GC employees at Veterans Affairs Canada who use the Hootsuite platform to manage social media and review performance analytics.
Available to vendor
  • As Hootsuite is the platform provider that processes social media data and delivers analytics, it has access to the data and outputs as part of its service delivery to Veterans Affairs Canada.
Not available to me
  • Individual members of the public cannot access or view the sentiment scores or analytics produced about their own comments. The outputs are internal government analytics tools only.

Stored

Not stated by the Helpful Places.

How to read the colours

Can it identify you?

Anonymized data
Data about people with the link to who is broken. Stripped of identifiers, blurred, aggregated, or noised so this system can’t reasonably tie a record back to an individual.
Pseudonymous data
Each person’s data is tied to a token (hash, ID, template) that lets this system recognise the same person across events, but the token itself doesn’t reveal a name. Reidentification is possible with extra information.
Identifiable data
The data either contains a direct identifier (name, address, account name, recognisable face or voice, plate number) or carries a token this system uses to look up legal identity during processing.

Who completes the loop?

Human decides
This mode suggests; a person decides what to do next. The AI is always advisory — a human is in the loop on every decision. Example: a triage tool ranks cases for a clinician who chooses which to see first.
Human executes
This mode decides; a person carries out the result. Example: an optimizer plans the day’s trash-collection routes, and drivers run them.
Autonomous
This mode decides and acts on its own. No person reviews each decision or carries out the resulting action.

Definitions from the DTPR standard. Amber is about your data, violet about who decides. The fuller the shape and the deeper the colour, the more identifying the data or the less a person is involved.

What you can do

Ask about this system

Questions go to the Helpful Places, not the vendor.

Your rights

  • Right to Be Informed of AI UseThe register states that AI use is not disclosed to users whose comments are analyzed. Members of the public currently have no mechanism through which they are informed that their public social media posts are subject to automated sentiment analysis by Veterans Affairs Canada.
  • Right to Algorithmic TransparencyInformation about this system is publicly available through the Government of Canada's AI and Algorithmic Systems Register. The register describes the use of natural language processing for sentiment analysis of public social media comments by Veterans Affairs Canada.

Risks and safeguards

  • Civil liberties harmMembers of the public who post on VAC social media are not informed that AI sentiment analysis is being applied to their comments (the register explicitly states AI use is not disclosed to users). While the register indicates no personal information is collected, automated sentiment profiling of public expression carries a chilling-effect risk on free expression. Mitigation noted in the register is limited; transparency to affected persons remains a gap.