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This study aims to investigate the development of adolescents’ advertising literacy and privacy protection strategies in the context of targeted advertisements on social…
This study aims to investigate the development of adolescents’ advertising literacy and privacy protection strategies in the context of targeted advertisements on social networking sites (SNSs).
A survey was conducted among 374 adolescents between 12 and 17 years of age, and 469 young adults (18–25 years) served as a comparative benchmark.
Results indicate that advertising literacy increases progressively throughout adolescence, and reaches adult-like levels only by the age of 16. In addition, adolescents have an inadequate awareness of commercial data collection practices. This awareness slowly increases as a function of their age until it reaches an adult level around the age of 20. Finally, findings reveal that adolescents take little action to cope with targeted advertisements by means of privacy protection strategies.
This paper fulfills the need to investigate adolescents’ advertising literacy and privacy-protective behaviors on SNSs, and, in turn, directly translates these insights into recommendations that can underpin the rationale of regulatory or policy decisions on a European level.
The purpose of this study is to introduce a comprehensive and dynamic framework that focuses on the role of algorithms in persuasive communication: the algorithmic…
The purpose of this study is to introduce a comprehensive and dynamic framework that focuses on the role of algorithms in persuasive communication: the algorithmic persuasion framework (APF).
In this increasingly data-driven media landscape, algorithms play an important role in the consumption of online content. This paper presents a novel conceptual framework to investigate algorithm-mediated persuasion processes and their effects on online communication.
The APF consists of five conceptual components: input, algorithm, persuasion attempt, persuasion process and persuasion effects. In short, it addresses how data variables are inputs for different algorithmic techniques and algorithmic objectives, which influence the manifestations of algorithm-mediated persuasion attempts, informing how such attempts are processed and their intended and unintended persuasive effects.
The paper guides future research by addressing key elements in the framework and the relationship between them, proposing a research agenda (with specific research questions and hypotheses) and discussing methodological challenges and opportunities for the future investigation of the framework.