Not Just Skipping: Understanding the Effect of Sponsored Content on Users' Decision-Making in Online Health Search
Anat Hashavit, Hongning Wang, Tamar Stern, Sarit Kraus
摘要
Advertisements (ads) are an innate part of search engine business models. Marketing research shows sponsored search advertisement is an effective tool to promote sales: advertisers are willing to pay search engines to promote their content to a prominent position in the search result page (SERP). This raises concerns about the search engine manipulation effect (SEME): the opinions of users can be influenced by the way search results are presented.
In this work, we investigate the connection between SEME and sponsored content in the health domain. We conduct a series of user studies in which participants need to evaluate the effectiveness of different non-prescription natural remedies for various medical conditions. We present participants SERPs with different intentionally created biases towards certain viewpoints, with or without sponsored content, and ask them to evaluate the effectiveness of the treatment only based on the information presented to them. We investigate two types of sponsored content: 1). Direct marketing ads that directly market the product without expressing an opinion about its effectiveness; and 2). Indirect marketing ads that explicitly advocate the product's effectiveness on the condition in the query. Our results reveal a significant difference between the influence on users from these two types of ads. Though direct marketing ads are mostly skipped by users, they do sometimes tilt users decision making towards more positive viewpoints. Indirect marketing ads affect both the users' examination behaviour and their perception of the treatment's effectiveness. We further discover that the contrast between the indirect marketing ads and the viewpoint presented in the organic search results plays an important role in users' decision-making. When the contrast is high, users exhibit a strong preference towards a negative viewpoint, and when the contrast is low or none, users exhibit preference towards a more positive viewpoint.
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- This Is Not What We Ordered: Exploring Why Biased Search Result Rankings Affect User Attitudes on Debated TopicsTim Draws, Nava Tintarev, Ujwal Gadiraju, Alessandro Bozzon 等SIGIR 2021 · 被引用 36 次
- Understanding and Mitigating Bias in Online Health SearchAnat Hashavit, Hongning Wang, Raz Lin, Tamar Stern 等SIGIR 2021 · 被引用 12 次
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