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This thematic issue invited submissions that address the opportunities and controversies related to algorithmic influence in a digital society. A total of 11 articles address how the use of algorithms has changed communication in various contexts, and cover topics such as personalized marketing communication, self-tracking for health, political microtargeting, news recommenders, social media algorithms, and urban experiences. The articles also include a wide variety of methods such as surveys, experiments, expert interviews, computational methods, and theoretical work developing frameworks and typologies. They are all united by one central question: How have algorithms and artificial intelligence changed communication, for both senders and receivers? We believe that the collection of topics and methods provide new insights into the different perspectives regarding algorithmic-driven communication - highlighting both the opportunities and challenges - and advance the literature with new findings, frameworks, and typologies.

This study investigates which intervention strategies most effectively increase privacy protection behavior. Drawing upon Protection Motivation Theory, we examine the short- and long-term effects of (combinations) of three strategies: (1) increasing awareness of the threat to privacy, (2) training effective privacy protection behavior, and (3) addressing and combating privacy fatigue. We conducted a longitudinal experiment in the Netherlands with three waves ( Nwave1 = 1,000, 2 weeks later Nwave2 = 799, 2 months later Nwave3 = 465) and eight between subjects conditions (no strategy and all possible combinations of the strategies). Results show that the training strategy increased self-efficacy and response efficacy, immediately increased all privacy protection behaviors, and positively impacted tracking blocking behavior in the short- and long-term, actual cookie rejection in the short-term (2 weeks later), and deletion behavior in the long-term (2 months later). The threat and fatigue strategies did not have their anticipated effects, but the threat strategy did immediately increase tracking blocking intentions, and the fatigue strategy had a positive, short-term effect on cookie rejection behavior.

Answering the strong need for insight into how minors can effectively be informed about advertising (e.g., influencer marketing) in online content, we ran an online experiment (N = 623 minors between 8 and 18 years old) testing the effects of two pictograms that were designed in co-creation with minors and the potential of an awareness campaign to boost the pictogram's effectiveness. Our findings provide three important insights that have implications for theory, practice, and regulation. First, we find that minors are able to distinguish between sponsored and non-sponsored videos, indicating that they have developed some level of advertising literacy in this context. Second, our study shows that the two pictograms informing minors about advertising in online videos went unnoticed by most viewers and did not enhance conceptual or attitudinal advertising literacy. Third, the awareness campaign did not lead to higher recognition of the pictograms nor enhanced advertising literacy. The campaign did increase minors' understanding of the meaning of the pictograms. However, the majority of minors also understood the pictograms without the campaign. Based upon our findings, we argue that pictograms are unnoticed by most minors and seem ineffective in enhancing minors' advertising literacy. Although an awareness campaign can familiarize minors with pictograms and their implementation in online videos, it does not seem to boost the pictogram's effects on advertising literacy.

Personally managing and protecting online privacy has become an essential part of everyday life. This research draws on the protection motivation theory (PMT) to investigate privacy protective behavior online. A two-wave panel study ( N = 928) shows that (1) people rarely to occasionally protect their online privacy and (2) people most often delete cookies and browser history or decline cookies to protect their online privacy. In addition, (3) the perceived threat is high: People perceive the collection, usage, and sharing of personal information as a severe problem to which they are susceptible. The coping appraisal is mixed: Although people do have confidence in some protective measures, they have little confidence in their own efficacy to protect their online privacy. Moreover, privacy protective behavior is affected by perceived severity and response efficacy. These findings emphasize the relevance of the PMT in the context of privacy threats, and have important implications for regulators.

This study investigates users' artificial intelligence (AI)-related competencies (i.e., AI knowledge, skills, and attitudes) and identifies the vulnerable user groups in the AI-shaped online news and entertainment environment. We surveyed 1088 Dutch citizens over the age of 16 years and identified five user groups through the latent class analysis: the average users, the expert advocates, the expert skeptics, the unskilled skeptics, and the neutral unskilled. The most vulnerable groups with the lowest levels of AI knowledge and AI skills (i.e., unskilled skeptics and neutral unskilled) were mostly older, with lower levels of education and privacy protection skills, than the average users. Overall, the results of this study resonate with the existing findings on the digital divide and provide evidence for an emerging AI divide among users. Finally, the societal implication of this study is discussed, such as the need for education programs and applications of the explainable AI.

This article presents two studies examining the effects of disclosing online native advertising (i.e., sponsored content in blogs) on people's brand attitude and purchase intentions. To investigate the mechanisms underlying these effects, we integrated resistance theories with the persuasion knowledge model. We theorize that disclosures activate people's persuasion knowledge, which in turn evokes resistance strategies that people use to cope with the persuasion attempt made in the blog. We tested our predications with two experiments ( N = 118 and N = 134). We found that participants indeed activated persuasion knowledge in response to disclosures, after which they used both cognitive (counterarguing) and affective (negative affect) resistance strategies to decrease persuasion. The obtained insights do not only advance our theoretical understanding of how disclosures of sponsored blogs affect persuasion but also provide valuable insights for legislators, advertisers, and bloggers.

This article presents two studies examining the effects of disclosing online native advertising (i.e., sponsored content in blogs) on people's brand attitude and purchase intentions. To investigate the mechanisms underlying these effects, we integrated resistance theories with the persuasion knowledge model. We theorize that disclosures activate people's persuasion knowledge, which in turn evokes resistance strategies that people use to cope with the persuasion attempt made in the blog. We tested our predications with two experiments (N = 118 and N = 134). We found that participants indeed activated persuasion knowledge in response to disclosures, after which they used both cognitive (counterarguing) and affective (negative affect) resistance strategies to decrease persuasion. The obtained insights do not only advance our theoretical understanding of how disclosures of sponsored blogs affect persuasion but also provide valuable insights for legislators, advertisers, and bloggers.