Analyzing Advertising Labels: Testing Consumers' Recognition of Paid Content Online

被引:2
|
作者
Johnson, Jeff [1 ]
Hastak, Manoj [2 ]
Jansen, Bernard J. [3 ]
Raval, Devesh [4 ]
机构
[1] Univ San Francisco, Dept Comp Sci, San Francisco, CA 94117 USA
[2] Amer Univ, Kogod Sch Business, Washington, DC 20016 USA
[3] Hamad Bin Khalifa Univ, Qatar Comp Res Inst, Doha, Qatar
[4] US Fed Trade Commiss, 600 Penn Ave,NW, Washington, DC 20580 USA
关键词
User interface design; graphic design; search results; search engines; CHI policy; advertising; ads; native ads; deceptive ads; regulation; consumer; FTC;
D O I
10.1145/3170427.3188533
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] Online Advertising Incrementality Testing: Practical Lessons, Paid Search and Emerging Challenges
    Barajas, Joel
    Bhamidipati, Narayan
    Shanahan, James G.
    [J]. ADVANCES IN INFORMATION RETRIEVAL, PT II, 2022, 13186 : 575 - 581
  • [2] Can consumers recognize misleading advertising content in a media rich online environment?
    Mitra, Anu
    Raymond, Mary Anne
    Hopkins, Christopher D.
    [J]. PSYCHOLOGY & MARKETING, 2008, 25 (07) : 655 - 674
  • [3] Sharing Online Advertising Revenue with Consumers
    Chen, Yiling
    Ghosh, Arpita
    McAfee, Randolph Preston
    Pennock, David
    [J]. INTERNET AND NETWORK ECONOMICS, PROCEEDINGS, 2008, 5385 : 556 - 565
  • [4] Evaluating and Analyzing the Effectiveness of Online Advertising
    Zhou, Huini
    Li, Li
    Gu, Xiaoguang
    [J]. 2018 5TH INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND APPLICATIONS (ICIEA), 2018, : 31 - 37
  • [5] Understanding consumers' purchase intention towards online paid courses
    Chen, Yuan
    Ding, Donghong
    Meng, Lidong
    Li, Xiaodong
    Zhang, Shengliang
    [J]. INFORMATION DEVELOPMENT, 2023, 39 (01) : 19 - 35
  • [6] The role of nutrition labels and advertising claims in altering consumers' evaluation and choice
    Bialkova, Svetlana
    Sasse, Lena
    Fenko, Anna
    [J]. APPETITE, 2016, 96 : 38 - 46
  • [7] The impact of online display advertising and paid search advertising relative to offline advertising on firm performance and firm value
    Bayer, Emanuel
    Srinivasan, Shuba
    Riedl, Edward J.
    Skiera, Bernd
    [J]. INTERNATIONAL JOURNAL OF RESEARCH IN MARKETING, 2020, 37 (04) : 789 - 804
  • [8] Exploring how consumers cope with online behavioral advertising
    Ham, Chang-Dae
    [J]. INTERNATIONAL JOURNAL OF ADVERTISING, 2017, 36 (04) : 632 - 658
  • [9] ONLINE ADVERTISING ON CONTENT AND SEARCH NETWORKS
    Elena Aramendia-Muneta, Maria
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON E-HEALTH 2015 E-COMMERCE AND DIGITAL MARKETING 2015 AND INFORMATION SYSTEMS POST-IMPLEMENTATION AND CHANGE MANAGEMENT 2015, 2015, : 209 - 213
  • [10] Analyzing and Testing Viewability Methods in an Advertising Network
    Exposito-Ventura, Marta
    Ruiperez-Valiente, Jose A.
    Forne, Jordi
    [J]. IEEE ACCESS, 2020, 8 : 118751 - 118761