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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: "Your mistake was that you …" 54 comments · Page 3 of 3
They vote Justin out to put carney in which was their own mistake because it's like when u vote carney in you still vote Justin in , so to tell u the truth Justin is …
They vote Justin out to put carney in which was their own mistake because it's like when u vote carney in you still vote Justin in , so to tell u the truth Justin is still running the show behind close doors the Canadians shud of vote Pierre pollieve as pm and all things wud of start changing
Why Canadians Are Turning Against Immigrants. · 1: Outliers
Close reading → Video sentiment →
Identity Attack0.0058826595
Insult0.017485369
Profanity0.010774951
Threat0.006265574
Severe Toxicity0.0008010864
Low Tox 0.031684756 Moderate Con 0.409
Aug 29, 2025 Why Canadians Are Turning Against …
Love the buddy on the bike, true Canadian I’d say. But he should’ve also mentioned the mistakes our governments made in the past few years.
Love the buddy on the bike, true Canadian I’d say. But he should’ve also mentioned the mistakes our governments made in the past few years.
Inside Canada's Indian Invasion... · 68: Cluster #67
Close reading → Discourse → Video sentiment →
Identity Attack0.0076215584
Insult0.016024929
Profanity0.009237786
Threat0.0063885585
Severe Toxicity0.00071048737
Low Tox 0.02826718 Constructive 0.611 Policy_Critique
Jan 27, 2026 Inside Canada's Indian Invasion...
I don't believe the "oops, we made a mistake" narrative. This is intentional.
I don't believe the "oops, we made a mistake" narrative. This is intentional.
LILLEY UNLEASHED: The fall of Canada’s once enviable … · 50: Cluster #49
Close reading → Discourse → Video sentiment →
Identity Attack0.0027933381
Insult0.01302291
Profanity0.014327513
Threat0.007081157
Severe Toxicity0.0009536743
Low Tox 0.028149333 Moderate Con 0.33 Fear_Threat
Mar 1, 2026 1 likes LILLEY UNLEASHED: The fall of …
Big mistake....
Big mistake....
Inside Canada's Indian Metropolis (Brampton) · 1: Outliers
Close reading → Video sentiment →
Identity Attack0.0011145604
Insult0.013744914
Profanity0.0113385795
Threat0.0063238298
Severe Toxicity0.00074386597
Low Tox 0.024849601 Moderate Con 0.378
Oct 7, 2025 Inside Canada's Indian Metropolis (Brampton)

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.