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Canadian Immigration Dashboard [ CID ]
Perspective API

Toxicity Scores & Embeddings

Search and explore comments with their Perspective API toxicity/prosocial scores alongside AI sentiment labels.

Communalytic | Toxicity & prosocial scores, embeddings, and clusters generated via Communalytic (Social Media Lab, Toronto Metropolitan University) using Google's Perspective API.
Toxicity Scored
55,769
9.3% of 596,542 total
Prosocial Scored
54,229
Embeddings
55,418
403 clusters
Avg Tox / Con
0.245 / 0.328

Summary Charts

click to expand

All 13 Dimensions

Score Distribution

Scored: 55,769
Unscored: 596,542 remaining
9.3% complete
{# Expects: explorer_rows, explorer_total, explorer_pages, current_page, page_range, filter_opts, f_q, f_polarity, f_tox_min, f_tox_max, f_sort, f_cluster, f_scope, explorer_reset_url #}

Comment Explorer

Browse comments with toxicity & constructive scores. Filter by keyword, polarity, toxicity range, or cluster.

Search & Filter

Search comment text, filter by category or toxicity level
Clear all | Quick: Toxic (>0.5) Most constructive High toxicity (>0.7) Most liked
Active: "Just one thing after another." 27 comments · Page 2 of 2
How about the Emigration problem? Immigration from another country is one thing; Losing a worker to Emigration is another. This is what happened in the Netherlands: After the war, there was massive unemployment. (since not …
How about the Emigration problem? Immigration from another country is one thing; Losing a worker to Emigration is another. This is what happened in the Netherlands: After the war, there was massive unemployment. (since not everyone is fit to work in construction) So we sent 5% of the country away, mostly to Canada. Most everyone who emigrated was fit and of working age. A lot of them where farmers. Twenty years later there was a massive labour shortage. Our country needed fit men of working age. So we got immigrants.
Inside Canada's Indian Metropolis (Brampton) · 1: Outliers
Close reading → Discourse → Video sentiment →
Identity Attack0.02048012
Insult0.022964163
Profanity0.01309778
Threat0.0069905366
Severe Toxicity0.0016498566
Low Tox 0.056758508 Constructive 0.628 Comparative_Framing
Sep 19, 2025 Inside Canada's Indian Metropolis (Brampton)
Just one thing after another.
Just one thing after another.
IRCC Names India in Study Permit Fraud | … · 1: Outliers
Close reading → Discourse → Video sentiment →
Identity Attack0.0020163832
Insult0.008538882
Profanity0.0118338885
Threat0.007689608
Severe Toxicity0.0010681152
Low Tox 0.01608456 Low Con 0.3 Meta_Commentary
Sep 30, 2025 IRCC Names India in Study …

Perspective API Dimensions Reference

13 dimensions explained

Toxic (6)

Toxicity
— Rude, disrespectful, or unreasonable
Severe Toxicity
— Very hateful or aggressive
Identity Attack
— Targeting race, religion, gender, etc.
Insult
— Inflammatory or provocative language
Profanity
— Swear words or obscene language
Threat
— Intention to inflict pain or violence

Prosocial (7)

Affinity
— Agreement or shared understanding
Compassion
— Concern for others' wellbeing
Curiosity
— Desire to learn or understand more
Nuance
— Acknowledges complexity or multiple perspectives
Personal Story
— Shares personal experience
Reasoning
— Evidence-based or logical argumentation
Respect
— Politeness and consideration for others
Data sources: comment_perspective_scores, comment_embeddings, and view_comment_sentiment · Scores are probability values (0–1) from Google's Perspective API via Communalytic.