Internet Research ( IF 5.9 ) Pub Date : 2024-11-11 , DOI: 10.1108/intr-01-2023-0078 Lijie Guo, Daricia Wilkinson, Moses Namara, Karishma Patil, Bart P. Knijnenburg
Purpose
The paper aims to develop and validate an instrument to measure users’ perceptions of online personalized advertising.
Design/methodology/approach
First, we identified 12 different aspects of online personalized advertisement and formulated candidate items through a literature review. A card sorting study and expert review were conducted to generate the initial scale items. We then conducted one survey (n = 308) to create a reliable measurement instrument and another (n = 296) to validate the instrument. Finally, we tested how the dimensions of the OPAD-Perception Framework can be used to differentiate between different levels of ad sensitivity, control/no control over the ad personalization process, and different levels of granularity of ad explanation.
Findings
The resulting OPAD-Perception Framework contains 49 Likert-formatted questions measuring ten distinct dimensions of online personalized advertising: reliability, usefulness, transparency, interactivity, targeting accuracy, accountability, creepiness, willingness to rely on, self-actualization, and persuasion.
Originality/value
The OPAD-Perception Framework can serve as a powerful tool to measure users’ attitudes toward online personalized advertising. This will enable advertisers and social media platforms to better support users’ privacy expectations and provide user-friendly interfaces for controlling the ad personalization process.
中文翻译:
OPAD 感知框架:衡量对在线个性化广告的感知
目的
本文旨在开发和验证一种工具来衡量用户对在线个性化广告的看法。
设计/方法/方法
首先,我们确定了在线个性化广告的 12 个不同方面,并通过文献综述制定了候选项目。进行了卡片分类研究和专家审查以生成初始量表项目。然后,我们进行了一项调查 (n = 308) 以创建可靠的测量仪器,并进行了另一项调查 (n = 296) 来验证仪器。最后,我们测试了如何使用 OPAD-Perception Framework 的维度来区分不同级别的广告敏感度、对广告个性化过程的控制/不控制以及不同级别的广告解释粒度。
发现
由此产生的 OPAD-Perception 框架包含 49 个李克特格式的问题,用于衡量在线个性化广告的十个不同维度:可靠性、有用性、透明度、交互性、定位准确性、问责制、令人毛骨悚然、依赖意愿、自我实现和说服力。
原创性/价值
OPAD-Perception 框架可以作为衡量用户对在线个性化广告态度的强大工具。这将使广告商和社交媒体平台能够更好地支持用户的隐私期望,并提供用户友好的界面来控制广告个性化过程。