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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: "Michelle should be our next …" 3 comments
Michelle Rempel-Garner is a taxpayer funded politician that doesn't even live in her riding nor does she live in Canada, read about her in different forums and subreddits you will know how good of a …
Michelle Rempel-Garner is a taxpayer funded politician that doesn't even live in her riding nor does she live in Canada, read about her in different forums and subreddits you will know how good of a politician she is. What she is doing here is trying to win votes by creating hate and divide and unfortunately people are blinded by hate to see it. She is not even letting the person answer before firing her next question, just getting half story and letting people speak to a point where she can use that to further push her parties ideology.
IRCC Names India in Study Permit Fraud | … · 4: Cluster #3
Close reading → Video sentiment →
Identity Attack0.021585498
Insult0.16337912
Profanity0.047173142
Threat0.008077981
Severe Toxicity0.004501343
Low Tox 0.2043827 Constructive 0.645
Oct 1, 2025 IRCC Names India in Study …
Under a conservative government Michelle would fix it Vote smarter next time.
Under a conservative government Michelle would fix it Vote smarter next time.
'We do know that there's a lot of … · 1: Cluster #1
Close reading → Discourse → Video sentiment →
Identity Attack0.0039587705
Insult0.020579277
Profanity0.011441057
Threat0.0069387536
Severe Toxicity0.0009536743
Low Tox 0.040183347 Moderate Con 0.317 Call_To_Action
Feb 24, 2026 26 likes 'We do know that there's …
Michelle should be our next PM.
Michelle should be our next PM.
'We do know that there's a lot of … · 1: Cluster #1
Close reading → Discourse → Video sentiment →
Identity Attack0.0036627878
Insult0.008253881
Profanity0.013029462
Threat0.007534259
Severe Toxicity0.0011873245
Low Tox 0.014953613 Low Con 0.259 Call_To_Action
Feb 25, 2026 '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.