>

Home

How might we create a scalable yet efficient livestream moderation chat experience?

By working with AI-powered moderation, channeling system to support fast bulk actions without losing user empathy.

Scalability

Empathy

Efficiency

Engagement

Defining Success

Given YouTube’s broad and diverse user base with varying viewing habits, I defined success metrics alongside counter-metrics to ensure balanced evaluation and avoid optimizing for a single user group or behavior.

Success Metrics

We want to achieve...

Counter Metrics

but not at the cost of ...

Hover-over tags to explain AI decisions

Research Inisghts

I interviewed six regular livestream viewers and two YouTube staff members, and observed more than ten livestreams for this project.

Top Themes

Lack of Signals

Livestream chat moderation is difficult because it lacks sufficient signals.

Low sense of engagement

Audience feels unseen and lack of agency.

Build trust by problem detection

Aligned with YouTube’s trust principles, chat moderation must identify trusted and untrusted users in real time.

Low explainability is what we need

Low explainability is sometimes necessary to prevent malicious learning.

Supporting Quotes

9:41

Is there anything else you'd like to share with us to help improve your experience?

Submit

Back

1

2

3

4

5

6

7

8

9:41

Next

Back

How would you describe the condition of the café?

Drink & food prep area

Dine-in area (if used)

Bathroom (if used)

Register area

Area

Rating

Poor

Excellent

1

2

3

4

5

6

7

8

9:41

Next

Back

Were you given enough information about:

(select all that apply)

Estimated wait time

Peak times (longer wait)

Help from staff when needed

Confirmation that my needs (e.g., allergy) were taken care of

None of the above

1

2

3

4

5

6

7

Boost Retention Rate in a B2C User Experience

I conducted user research and redesigned the survey to build a pipeline for feedback from customers.

Petunia’s

Favorite activities

Fun Facts about

Petunia

Pig / Göttingen minipig

Sunbathing

Rooting

Rolling in the mud

Nice to meet you!

Snuggling with her friends

Species/ Breed

Bella, Tofu, Peppa, Carrie,

Saigo, and Rober the pigs

Best friends

Pig food, most fruits and

veggies, grass, hay

Favorite Food

Onions, Brussels sprouts

Least Favorite Food

Rescued from an animal

testing lab by the Beagle

Freedom Project

Background

Date of birth

Arrival at Charlie Acres

December 10, 2015

December 10, 2016

Accessible Design System for Humane Education

I created a custom icon set, maintained and expanded the design system to support the development of digital and print materials to create a memorable education experience for visitors, children, and teachers.

Back to top

Irene Cheung

Connect me on social media!

Brand Value

Trust & Safety

Freedom of Speech

Explainability

Abuse Prevention

Scalability

Empathy

Efficiency

Problems

Subtle or missing signals make user intent difficult to detect, leading to errors that undermine system reliability

Trust and Safety

2K views

• 2 months ago

Automation often misses tone and emotion, which can reduce user trust and hurt long-term community engagement.

Community Energy

2M views

• 3 months ago

Moderators share the same interface as users, limiting their control and making platform safety difficult to scale

Efficiency

1K views

• 1 months ago

Solutions

Trust score =

Tone weight +Certainty weight + Contextual Risk

AI-supported trust score system leveraging real-time analysis to differentiate trusted and untrusted users

Trust and Safety

2K views

• 1 months ago

toxic

concern

spam

misinfo

question

super user

NEW

AI-powered taxonomy system to classify messages based on intent, language, and risk level

Community Energy

2M views

• 3 months ago

Dual-panel moderation interface with a dashboard for greater efficiency

Efficiency

1K views

• 1 months ago

Three Key Pillars in Livestream Chat Moderation

After synthesizing research insights, I defined three key pillars to guide this project.

Moderation priorities across different livestream genres

Understanding how to integrate them effectively.

What

01

Who

User engagement patterns

Studying behaviors and identifying scalable detection methods.

02

How

Accessible moderation experiences 

Designing chat interfaces that work across livestreams of varying scales and genres.

03

Hover us to see the solutions

Dual-panel Moderation

supports streamlined workflow

Moderator Panel

(Dashboard)

+

Engagement Panel

(Chat)

before

after

Dual-Panel Moderation

Here are three primary actions in the new moderator dashboard:

Z and C

Z

I think the guys blind hi everyone

trapstar4082

I just subed

Amy Rachel

A

A

I think ts trash it's not even cool plus he is not moving 

A

Ainsley14

I thought this was real life

Arlena Walcott

🫣🫣🫣🫣🫣🫣🫣

gingerhello16

Totally agree! The ray tracing implementation is such a chef kiss

Engagement Panel

Nezuko

The lighting in this new map looks incredible

2

1

super user

noobHunter88

The lighting in this new map looks incredible. Major upgrade from the last update.

mochiball

NEW

hi everyone! this is my first time. great content so far

send welcome message

trapstar

question

honestly, this soundtrack is s tier. anyone know the composer?

4

3

Remy

Say something...

0/200

Moderator Panel

AI Assistant

Current viewers

1,284

Audience sentiments

Peak today

Chat summary

Recent activity

Viewers were engaged and excited, though some criticized the streamer’s gameplay and unclear guidance on accessing game features.

1,529

+2.1% vs last week

Neutral

Positive

Last updated 2 mins ago

25%

27%

Negative

Quick actions

Review held comments

12

Manage audience reports

9

View audience question

20

Add blocked-word

Blocked words

Enter comma-separated values

Settings

8 users flagged comments as spam in the last minute.

30s

Moderator_b blocked user choco_muffin.

30s

UrbanExplorer removed a message from TriumphEdits.

30s

AI summary updated: new concern raised by audience.

30s

Dashboard

Held for review

12

From audience

9

62%

Neutral

Positive

Negative

View high-level metrics, such as number of viewers, audience sentiment, and chat summaries.

Review comments flagged by AI and audience reports in real time, and approve or block them.

Manage moderation settings, such as adding blocked words and turning off negotiable pre-filtered tags.

Limited controls:

warn, timeout, ban

Same view as audience

Integrating AI into Workflow: The Third Panel

Activated on click to help moderators:

Adjust moderation sensitivity (for example, how strict the AI assistant is with comments).

Understand AI decisions and disagree by reporting or overriding them.

Surface comments labeled as questions to support audience engagement.

Hidden Comments

Highlighted Comments

Demonstrates scalability for complex control scenarios

While offering simplicity by showing only one panel at a time for users who prefer focused interaction

Project Type

Graduate Capstone

 

Tools

Figma, Lovable, FigJam

 

 

Role

Sole Product Designer

 

Duration

3 months

 

 

Impact

Through user segmentation and AI-powered semantic analysis, the system differentiates trusted and untrusted users, enabling a safer, more trustworthy, and scalable livestream chat moderation experience with greater efficiency.