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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: "He's my Hero. way to …" 2 comments
The NDP is the perfect Petri dishe Singh was called out years in advance for putting his pension ahead of his NDP brethren. "parasite on society" And was willing to lie cheat and steal. No …
The NDP is the perfect Petri dishe Singh was called out years in advance for putting his pension ahead of his NDP brethren. "parasite on society" And was willing to lie cheat and steal. No sense of Urgency Singh could have pulled Off the biggest win in for the NDP but Greed got in Singh way 100 % From Hero with Jack Layton to Zero !! "lost Liberal decade" Pierre Marcel Poilievre for PM asap
LILLEY UNLEASHED: The fall of Canada’s once enviable … · 6: Cluster #5
Close reading → Discourse → Video sentiment →
Identity Attack0.020882076
Insult0.4596616
Profanity0.07514556
Threat0.009023022
Severe Toxicity0.01083374
Moderate 0.37795907 Moderate Con 0.405 Call_To_Action
Feb 17, 2026 48 likes LILLEY UNLEASHED: The fall of …
My family of 16 moved to Canada from Holland in 1952. My wife’s family moved from France in 16th century. Canada has always been a land of immigrants. Where we lived in East Vancouver were …
My family of 16 moved to Canada from Holland in 1952. My wife’s family moved from France in 16th century. Canada has always been a land of immigrants. Where we lived in East Vancouver were were surrounded by Italians. Richmond was nothing years ago and now is mostly Chinese and Asian. Foreigners are energetic and have cultural roots they are proud of why shouldn’t they. The First Nations people here were exploited in every way by the English and French followed by every other European country. So the video focuses on Indian immigrants slanted with negative biases. India is a very diverse and historically one of the most accepting of foreigners in the world exploited terribly by the British and their hero Churchill who let millions of Indians starve by robbing them. Does anyone interviewed in this video know any history. Please stop belly aching.
Inside Canada's Indian Metropolis (Brampton) · 1: Outliers
Close reading → Video sentiment →
Identity Attack0.11163961
Insult0.06529768
Profanity0.021466793
Threat0.008841781
Severe Toxicity0.004386902
Low Tox 0.15711457 Constructive 0.806
Oct 29, 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.