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User Perceptions of Problematic Ads

Jul 25, 2022
37:53
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1
Introduction
00:00 • 2min
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2
What Is a Bad Ad?
02:24 • 2min
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3
Is There a Need for Content Moderation?
04:54 • 3min
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4
Crawlers for Ads - Is That Right?
08:06 • 2min
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5
Is There a Way to Segment Your Ads?
10:34 • 2min
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6
What Are the Most Common Types of Bad Ads?
12:15 • 2min
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7
Astrato Data Sceptic
13:51 • 4min
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8
Do You Know Where to Report a Deceptive Ad?
18:06 • 2min
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9
What Are the Types of Bad Ads?
19:41 • 2min
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10
Are You Using an Ad Blocker?
22:06 • 3min
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11
Do You Know What's Going on Behind the Scenes?
25:22 • 2min
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12
The Unsupervised Learning Approach to Clustering Ads
27:22 • 2min
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13
Is There a Problem With Content Modification?
29:42 • 3min
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14
The Russian Political Intimidation in the Election?
32:38 • 5min
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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.

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