Online media platforms are increasingly using algorithms to select and present relevant
information to their audiences. This highlights the importance of exploring whether people …

Using survey evidence from the Netherlands, we explore the factors that influence news
readers' attitudes toward news personalization. We show that the value of personalization …

The algorithmic persuasion framework in online communication: conceptualization and a future
research agenda | Emerald Insight Books and journals Case studies Expert Briefings Open …

Researchers in psychology have long known that preferences are constructed in the
decision-making process, influenced by choice environments that trigger unconscious …

Recommender systems not only serve users but also affect user preferences through
personalized recommendations. Recent researches investigate the effects of the entire …

In the recent past, some electoral decisions have gone against the pre-election
expectations, what led to greater emphasis on social networking in the creation of filter …

In recent times, there has been a growing interest in enhancing recommendation systems for
e-learning platforms to deliver a personalised learning experience that meets each learner's …

The societal and epistemological implications of online targeted advertising have been
scrutinized by AI ethicists, legal scholars, and policymakers alike. However, the …

The goal of our study is to provide a holistic view on various ethical challenges that
complicate the design and use of recommender systems (RS). Our findings materialize into …

People can nowadays take advantage of Digital Self-Control Tools (DSCTs) to regulate their
technology use, eg, by defining a usage timer or by removing some distractive functionality …