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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: "The government can easily verify …" 2 comments
What baffles me is how easily the government and public colleges are shifting the blame and pretending to be like a deer in the headlight. $252 million, this is the surplus profit) that one just …
What baffles me is how easily the government and public colleges are shifting the blame and pretending to be like a deer in the headlight. $252 million, this is the surplus profit) that one just one Ontario public college had in 2024. There’s no typing error, friends, this is the number and anyone can verify it. The last I checked, these colleges are not operated or governed by immigrants, it’s us who are in charge. We are being mislead to believe that the problem lies elsewhere. Colleges made money, the feds, province , region every body made millions. Where were these auditors for 8 years. This mass influx began in 2018, so was the entire government and administration at all levels was napping.
IRCC Names India in Study Permit Fraud | … · 3: Cluster #2
Close reading → Discourse → Video sentiment →
Identity Attack0.02439919
Insult0.0623257
Profanity0.01941724
Threat0.0072235605
Severe Toxicity0.0022697449
Low Tox 0.112643376 Constructive 0.621 Policy_Critique
Sep 28, 2025 10 likes IRCC Names India in Study …
The government can easily verify this by carrying out a secret operation and sending undercover agents to live with them for soemtime
The government can easily verify this by carrying out a secret operation and sending undercover agents to live with them for soemtime
'We do know that there's a lot of … · 1: Cluster #1
Close reading → Discourse → Video sentiment →
Identity Attack0.0032928092
Insult0.010780896
Profanity0.012995303
Threat0.009281937
Severe Toxicity0.0009822845
Low Tox 0.02638162 Low Con 0.183 Policy_Critique
Feb 24, 2026 2 likes 'We do know that there's …

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.