Research Tools
Discourse Analysis
Semantic discourse categories assigned by Claude Haiku — 14 DH-informed categories classifying how commenters frame their arguments.
Comments Labeled
44,412
of 487,977 total
Coverage
9.1%
of eligible comments
Categories Active
14
of 14 discourse types
Avg Confidence
0.807
classifier confidence
Model
Claude Haiku
multi-label classification
Search & Filter
Meta-Commentary
3,846 comments
str8 rage b8
str8 rage b8
Meta-commentary dismissing the discussion as 'bait,' referring to internet culture rather than engaging with substantive content.
Meta-Commentary
0.90
romflo100
Oct 7, 2025
Unfortunately having a hard time listening... She's so beautiful..
Unfortunately having a hard time listening... She's so beautiful..
Off-topic comment about difficulty listening and appearance of someone in the video, not engaging with content.
Meta-Commentary
0.90
@lizardfog
Mar 4, 2025
really a great speech
really a great speech
Brief praise of the video/speech itself without substantive policy or political engagement.
Meta-Commentary
0.90
@Tortuex_
Mar 4, 2025
3:46 😂 u are by far the best content creator on this app
3:46 😂 u are by far the best content creator on this app
Commenter praises the content creator and references a specific timestamp (3:46), engaging purely in meta-commentary about the video and creator.
Meta-Commentary
0.90
connorcollinsmsu
Jan 27, 2026
as a Canadian THIS WAS NOT PROMPTED IN MY ALOGORITHM ... I only know about this because i went to Tylers page lol
as a Canadian THIS WAS NOT PROMPTED IN MY ALOGORITHM ... I only know about this because i went to Tylers page lol
Comment about YouTube's algorithm and how the commenter discovered the video, focusing on the platform mechanics rather than immigration content.
Meta-Commentary
0.90
artiemasters9366
Jan 27, 2026
Tyler was in Montreal and didnt have the chance to say hi :((
Tyler was in Montreal and didnt have the chance to say hi :((
Personal comment about the video creator (Tyler) and a missed opportunity to meet, directed at the content creator rather than the immigration topic.
Meta-Commentary
0.90
Jp-to5uk
Jan 28, 2026
01:33 - that was a white dude who broke into the guys house
01:33 - that was a white dude who broke into the guys house
References a specific moment in the video (01:33) to correct or comment on video content.
Meta-Commentary
0.90
vdubzyyz
Sep 9, 2025
How is this racist bs permitted on here?
How is this racist bs permitted on here?
Critiques the video platform for allowing racist content rather than engaging with immigration substance.
Meta-Commentary
0.90
CMB-pd1qu
Aug 30, 2025
“Blistering” ???
“Blistering” ???
Questions the word choice ('Blistering') used in the video, commenting on language and framing.
Meta-Commentary
0.90
@drhouse7264
Mar 4, 2025
BRO PROMOTING GAMBLING WHAT A SHAME
BRO PROMOTING GAMBLING WHAT A SHAME
Comment criticizes the video content itself for promoting gambling, addressing the video rather than immigration policy.
Meta-Commentary
0.90
STRVNGE-WORLD
Jan 28, 2026
Bike guy was waiting for this moment his entire life
Bike guy was waiting for this moment his entire life
Comment about a video participant's apparent motivation or reaction, focused on the video content rather than immigration discourse.
Meta-Commentary
0.90
zefferz
Jan 27, 2026
Canadian people voted for this! 🤷♂️
Canadian people voted for this! 🤷♂️
Comments on Canadian voters' responsibility for current immigration policy, implicitly critiquing the electorate rather than engaging substantive immigration debate.
Meta-Commentary
0.90
zicob2536
Sep 19, 2025
7:00 Four years not eight.
7:00 Four years not eight.
Factual correction about video content (timestamp reference), commenting on the video itself rather than the topic.
Meta-Commentary
0.90
@John-tp5gc
Mar 4, 2025
Bike guy is 100% truthful and accurate.
Bike guy is 100% truthful and accurate.
Evaluates the credibility of a video creator ('bike guy'), commenting on the content rather than the immigration topic itself.
Meta-Commentary
0.90
servo1056
Jan 27, 2026
his eye brows going bald
his eye brows going bald
Off-topic personal observation about the speaker's physical appearance rather than substantive engagement with content.
Meta-Commentary
0.90
@jamesjeon704
Mar 4, 2025
5:37 Tyler fighting for his life to contain his laugh
5:37 Tyler fighting for his life to contain his laugh
Comment observes the video creator's reaction at a specific timestamp, focusing on the content and creator rather than the immigration topic.
Meta-Commentary
0.90
brettfafata3017
Jan 28, 2026
Tyler...fred the bodyguard..kurt caz and nick shirely...💯💯💯💯
Tyler...fred the bodyguard..kurt caz and nick shirely...💯💯💯💯
Names video creators and participants with approval emojis, commenting on the people in the video rather than the immigration topic.
Meta-Commentary
0.90
omario2069
Jan 28, 2026
That blond woman at the start stated it perfectly.
That blond woman at the start stated it perfectly.
Comment references a specific person in the video without substantive engagement with immigration topic.
Meta-Commentary
0.90
LilAngelPrincess95
Sep 10, 2025
Gawd Blitzer shut up. Use a translator, let him finish his remarks. We don't need CNN's ridiculously oversidzed row of pundits to comment on a head of state's remakrs, until he's finished them!
Gawd Blitzer shut up. Use a translator, let him finish his remarks. We don't need CNN's ridiculously oversidzed row of pundits to comment on a head of state's remakrs, until he's finished them!
Criticizes the video's presentation (Wolf Blitzer, CNN pundits, translator use) rather than the substantive content.
Meta-Commentary
0.89
@melbaker9495
Mar 4, 2025
Vassy is really trying to save face for the liberals. Because she “asks the tough questions”. 🙄
Vassy is really trying to save face for the liberals. Because she “asks the tough questions”. 🙄
Critiques the video creator's (Vassy's) framing and motives rather than engaging with immigration policy substance; includes sarcasm about her questioning approach.
Meta-Commentary
0.89
AC-zt2ky
Feb 24, 2026
Compare Videos
Select 2–4 videos to compare their discourse profiles side by side (% of labeled comments).
Discourse Taxonomy
Category Distribution
Primary discourse type assigned to each comment
Classifier Confidence
Distribution of confidence scores across all labeled comments
Discourse Over Time
Top 6 discourse types by month — how framing evolves over time
Category Co-occurrence
Which discourse types most frequently appear together on the same comment
Top Channels by Discourse Type
Identity Assertion
CNN
2,313
Tyler Oliveira
1,991
RocaNews
467
JamCan
274
Yoke Immigration Canada
89
Solidarity
CNN
4,297
Tyler Oliveira
400
RocaNews
75
JamCan
36
CTV Your Morning
32
Policy Critique
CNN
3,445
Tyler Oliveira
551
Toronto Sun
340
CTV News
268
RocaNews
235
Humor / Satire
CNN
2,078
Tyler Oliveira
1,667
RocaNews
241
Global News
89
CTV News
68
Fear / Threat
Tyler Oliveira
1,549
CNN
1,332
RocaNews
321
JamCan
204
Toronto Sun
118
Meta-Commentary
Tyler Oliveira
1,702
CNN
1,478
RocaNews
168
CTV News
81
JamCan
77
Unverified Claim
CNN
1,480
Tyler Oliveira
820
RocaNews
203
Yoke Immigration Canada
203
JamCan
152
Moral Argument
CNN
1,733
Tyler Oliveira
704
RocaNews
205
JamCan
73
CTV Your Morning
23
Classified by Claude Haiku (Anthropic)
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14-category DH taxonomy
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Discourse Quality (Perspective API)