TY - GEN
T1 - Analyzing advertising labels
T2 - 2018 CHI Conference on Human Factors in Computing Systems, CHI EA 2018
AU - Johnson, Jeff
AU - Jansen, Bernard J.
AU - Hastak, Manoj
AU - Raval, Devesh
N1 - Publisher Copyright:
© 2018 Copyright is held by the owner/author(s).
PY - 2018/4/20
Y1 - 2018/4/20
N2 - In 2014-2015, the U.S. Federal Trade Commission (FTC) commissioned a study to assess consumers’ ability to recognize ads and other paid content in online search results and news/article feeds. The co-authors designed the study, oversaw its execution, and analyzed the results, with support from FTC staff. The goals of the research were to assess the effectiveness of methods that online services use to label ads, and to see if alternative methods of labeling ads could improve consumers’ ability to recognize them. In a controlled experiment, 48 consumers interacted with both desktop and mobile Web pages that were captured from search and online magazine websites. In half of the conditions, the Web pages were modified based on established Web design guidelines to improve the clarity of ad labeling. The participants' behavior, comments, and eye movements were recorded. Initial findings of this experiment are: (a) consumers cannot always distinguish ads, paid content, and paid search results from unpaid content, and (b) improving the salience and placement of labels based on established UI design guidelines can improve consumers’ ability to recognize ads, paid content, and paid search results. We conclude with implications of the results and areas for future research.
AB - In 2014-2015, the U.S. Federal Trade Commission (FTC) commissioned a study to assess consumers’ ability to recognize ads and other paid content in online search results and news/article feeds. The co-authors designed the study, oversaw its execution, and analyzed the results, with support from FTC staff. The goals of the research were to assess the effectiveness of methods that online services use to label ads, and to see if alternative methods of labeling ads could improve consumers’ ability to recognize them. In a controlled experiment, 48 consumers interacted with both desktop and mobile Web pages that were captured from search and online magazine websites. In half of the conditions, the Web pages were modified based on established Web design guidelines to improve the clarity of ad labeling. The participants' behavior, comments, and eye movements were recorded. Initial findings of this experiment are: (a) consumers cannot always distinguish ads, paid content, and paid search results from unpaid content, and (b) improving the salience and placement of labels based on established UI design guidelines can improve consumers’ ability to recognize ads, paid content, and paid search results. We conclude with implications of the results and areas for future research.
UR - http://www.scopus.com/inward/record.url?scp=85052025032&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85052025032&partnerID=8YFLogxK
U2 - 10.1145/3170427.3188533
DO - 10.1145/3170427.3188533
M3 - Conference contribution
AN - SCOPUS:85052025032
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
Y2 - 21 April 2018 through 26 April 2018
ER -