Data Skeptic

User Perceptions of Problematic Ads

Jul 25, 2022

37:53

Creator website

Highlights

AI Chapters

Episode notes

What Are the Most Common Types of Bad Ads?

01:36

The Russian Political Intimidation in the Election?

05:14

What Are the Types of Bad Ads?

02:25

Introduction

2min

What Is a Bad Ad?

2min

Is There a Need for Content Moderation?

3min

Crawlers for Ads - Is That Right?

2min

Is There a Way to Segment Your Ads?

2min

What Are the Most Common Types of Bad Ads?

2min

Astrato Data Sceptic

4min

Do You Know Where to Report a Deceptive Ad?

2min

What Are the Types of Bad Ads?

2min

10.

Are You Using an Ad Blocker?

3min

11.

Do You Know What's Going on Behind the Scenes?

2min

12.

The Unsupervised Learning Approach to Clustering Ads

2min

13.

Is There a Problem With Content Modification?

3min

14.

The Russian Political Intimidation in the Election?

5min

Eric Zeng joins us to discuss his study around understanding bad ads and efforts that can be taken to limit bad ads online. He discussed how he and his co authors scrapped a large amount of ad data, applied a machine learning algorithm, and commensurate statistical results.