Perceptions of Behavioral Advertising among CMU Community Ashwini Rao April 21, 2014.

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Presentation transcript:

Perceptions of Behavioral Advertising among CMU Community Ashwini Rao April 21, 2014

1 Outline Background regarding behavioral advertising Details of campus survey Discuss results from the survey

2 Behavioral advertising: show personalized advertisements based on user behavior, not just site content

3 Behavioral ad example 2. Research cheap hotels 3. See ad for discount airfare 1. Watch video on 2014 Winter Olympics

4 Advantages of Behavioral Ads Supports free Internet services E.g. search, social networking Effective in increasing ad revenues

5 What’s the catch? Based on actual user profiles from prior user study, 2013 (n=6)

6 User concerns Survey on Amazon Mechanical Turk, 2014 (n=100) Contains sensitive data Amount of data Data from multiple sources Level of detail How data may be used

7 Perceptions among CMU Community What does CMU community think of behavioral advertising? Awareness and opinions Survey as part of Data Privacy Day Conducted on Jan 27, 2014 Recruited participants (n=161) at University Center

8 Survey Design Asked six questions to test awareness 4 true, 2 false questions Rate on a 5-point scale of strongly disagree to strongly agree Collected opinions about a sample profile Concern, comfort

9 “Marketing firms routinely use data collected about consumers to assign them personality types such as “leader vs. follower” or “introvert vs. extrovert.” 70% agree 29% other (TRUE)

10 “Readily available information about the websites you visit and videos you watch is routinely used by marketing companies to determine your propensity to gamble in casinos or play on the stock market.” 66% agree 34% other (TRUE)

11 “ providers may use the content of s that you send and receive to determine what advertisements to show you.” 66% agree 34% other (TRUE)

12 “Data about individuals’ religious and moral beliefs is readily available for anyone willing to purchase it.” 46% agree 54% other (TRUE)

13 “Advertisers routinely collect credit card numbers stored on your computer.” 36% other 64% disagree (FALSE)

14 “US law prohibits advertising companies from collecting and selling information about which prescription drugs you use.” 75% other 25% disagree (FALSE)

15 Sample profile

16 Opinion on Sample Profile 10% comfortable 62% concerned

17 CMU vs. other population Misconceptions about protected data Awareness generally higher compared to others Majority concerned Concern slightly lower compared to others Concerned more about religious than income and credit data

18 Questions?

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