Technological advancements have resulted in the availability and usage of consumer data for digital advertising. This so-called reality dataveillance may result unintended ethical side-effects, such as chilling effects that involve self-regulation media a response to surveillance practices. The current study utilizes two-step approach with cross-national survey (N = 334) an online experiment 536), how different collection methods advertising (i.e., profiling, watermarking), regulatory...

Abstract The privacy calculus suggests that online self-disclosure is based on a cost–benefit trade-off. However, although companies progressively collect information to offer tailored services, the effect of both personalization and context-dependency has remained understudied. Building calculus, we hypothesized benefits, costs, trust would predict self-disclosure. Moreover, analyzed impact personalization, investigating whether effects differ for health, news, commercial websites. Results...

To advance the emerging research field of computational advertising this article describes new ecosystem, identifies key actors within it and interactions among them, discusses future agendas. Specifically, we propose systematic conceptualization for redefined industry, consumers, government, technology environmental factors, discuss anticipated tensions that arise in macro exogenous factors surrounding leading to suggestions directions. From multidisciplinary angles, areas tension related...

Purpose The purpose of this paper is to provide insights into personalisation from a practitioner’s perspective bridge the practitioner-academia gap and steer research agenda. A wide scope has investigated consumer perspective. current study aims at bridging practitioner by entering dialogue about practical application personalisation. It takes process model Vesanen Raulas (2006) as starting point. Design/methodology/approach Lead exploratory character study, semi-structured expert...

The General Data Protection Regulation (GDPR) introduced in 2018 the EU aims to give consumers a high degree of control over their data online order allow them protect privacy. It also puts transparency requirements for websites that collect and process data. In fact, have be informed about technical legal aspects collection; this knowledge should empower consciously or withdraw consent collection. current study investigates empowering impact collection within theoretical framework...

Technological developments have changed the advertising landscape by extending possibilities to collect, process, and share consumer data optimize advertising. These made collection consequently dataveillance—the automated, continuous, sometimes unspecific collection, storage, processing of digital traces—central concepts for scholarship practice. Studying impact consumers’ perceptions dataveillance is important as about practices been shown diminish effects data-driven This article advances...

This study investigates the reciprocal relationships between fluctuation of closing prices three companies listed on Amsterdam exchange index, namely ING, Philips and Shell online media coverage related to these firms for a period two years (2014–2015). Automated content analysis methods were employed analyze sentiment emotionality identify corporate topics companies. A positive relation amount with stock was detected Philips. In addition, found positively Granger cause price fluctuation,...

Data collection and processing for personalized advertising has become a common practice in the industry. For this reason, regulators have been aiming to empower consumers exercise more control over their data. Companies that collect process data are required be transparent among others, provide with technical knowledge about personalization process. At same time, they started offering settings withdraw consent purposes by opting out from advertising. However, such opt-out functions remain...

While data-driven personalization strategies are permeating all areas of online communication, the impact for individuals and society as a whole is still not fully understood. Drawing on Facebook case study, we combine tracking self-reported survey data to assess who gets targeted with what content. We tested relationships between user characteristics (i.e. socio-demographic individual perceptions) exposure branded content Facebook. Findings suggest that social media use sophisticated...

In this article we provide a primer for blockchain technology (BT) and explain ways that it has been applied (or can be applied) to the field of advertising research practice. We situate inside critical look at evolution digital driven largely by immediate technological need maximization profit rather than considerations societal well-being. discuss arenas in which current state is not well positioned maximize well-being built consumer distrust advertising, specifically with regard areas...

The COVID-19 pandemic has created one of the largest medical, financial, and social disruption in history. In fight against this virus, many European governments have turned to collecting using online data (for various technological applications) as a key strategic remedy. This study consists from national representative survey Netherlands focusing on extent which data-driven technologies government can count support general public. By trust perceptions, risk beliefs privacy concerns, we...

This study examines factors that encourage and discourage blockchain technology adoption in the online advertising ecosystem from a multi-stakeholder perspective. Nineteen semi-structured interviews were conducted with experts analysed through lens of Interactive Communication Technology Adoption Model (ICTAM) as guiding framework. The findings reveal all ICTAM (system, audience, social, technology, adoption, use) influence simultaneously often contradictory ways. has several contributions....

TikTok has been criticized for its low privacy standards, but little is known about how adolescent users protect their privacy. Based on interviews with 54 adolescents in Switzerland, this study provides a comprehensive understanding of young users' management practices related to the creation videos. The data were explored using COM-B model, an established behavioral analysis framework adapted sociotechnical research. Our overall findings are line previous research other social networks:...

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) three strategies: (1) increasing awareness threat to privacy, (2) training effective behavior, (3) addressing combating fatigue. We conducted a longitudinal experiment in Netherlands with waves ( N wave1 = 1,000, 2 weeks later wave2 799, months wave3 465) eight between subjects...

Strengthening individual rights, enhancing control over one’s data and raising awareness were among the main aims European Commission set for General Data Protection Regulation (GDPR). In order to assess whether these have been met, research into perceptions, awareness, understanding of is necessary. This study thus examines reactions GDPR in provide insights user agency relation Regulation. More specifically, it discusses empirical (survey with N = 1288) on knowledge of, to, rights...

While data-driven personalisation strategies in marketing offer consumers several benefits, they potentially also create new disparities and vulnerabilities society, individuals.This article explores what ways application of so-called personalised communication may lead to exploitation vulnerability builds on empirical findings the issue by investigating if are protected against such under EU consumer protection law.We show a number which internal external that law contains significant...

Companies collect and process media users' personal data for automated decision-making or personalized communication. When individuals perceive corporate surveillance, it could contribute to their self-censorship practices, such as using less differently. This study aims understand why people decide self-regulate use, which is important from the perspective of control that have over collection. Therefore, we studied what would motivate change media-related behavior in response perceived...

We present INCA (short for INfrastructure Content Analysis), a Python module collecting, storing, processing, and analyzing wide variety of media content, including but not limited to news, political debates, social media, forums, customer reviews. Using Elasticsearch as database backend Celery task management, it makes automated content analysis scalable. INCA's main objective is enable promote an integrated workflow. focuses on re-usability data, processors, analyses; making all steps...