眼动
视觉注意
广告
心理学
计算机科学
业务
感知
人工智能
神经科学
作者
Andrey Simonov,Tommaso Valletti,André Veiga
标识
DOI:10.1177/00222437241256900
摘要
The authors investigate the impact of online news content on the effectiveness of display advertising. In a randomized online experiment, participants read news articles randomly paired with brand advertisements. Leveraging non-intrusive eye-tracking technology, the authors measure individual attention to both articles and ads. The authors then measure ad recall, and participants make choices between cash and brand-specific vouchers. Heightened attention to articles results in “spillover” attention to ads on the same page which, in turn, increases both brand recall and purchase probability. The authors also consider the effect of news content type, differentiating between “hard” and “soft” news. They find that advertising next to hard news is at least as effective as advertising next to soft news. This provides evidence against the blunt implementation of “block lists” for sensitive news topics by advertisers. The authors discuss the implications of attention spillovers for firms contemplating investments in engaging news content within the digital advertising landscape.
科研通智能强力驱动
Strongly Powered by AbleSci AI