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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Advertisements (ads) are an innate part of search engine business models. 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 solely 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 users mostly skip direct marketing ads, they do sometimes tilt users' decision-making. Indirect marketing ads affect both the users' examination behavior 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 a preference toward a more positive viewpoint.

Original languageEnglish
Title of host publicationSIGIR 2023 - Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
Pages1056-1065
Number of pages10
ISBN (Electronic)9781450394086
DOIs
StatePublished - 19 Jul 2023
Event46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023 - Taipei, Taiwan, Province of China
Duration: 23 Jul 202327 Jul 2023

Publication series

NameSIGIR 2023 - Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval

Conference

Conference46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023
Country/TerritoryTaiwan, Province of China
CityTaipei
Period23/07/2327/07/23

Keywords

  • bias
  • information retrieval
  • user study

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Information Systems
  • Software

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