Eoin Whelan, University of Galway

Hamed Qahri-Saremi, Colorado State University

Chelly Maes, Université Libre de Bruxelles

Christy M. K. Cheung, Hong Kong Baptist University

Uri Gal, University of Sydney

Monideepa Tarafdar, University of Massachusetts Amherst

Adolescents today engage intensely with digital platforms including social media, gaming communities, AI applications, and learning technologies. This special issue seeks research examining how these complex digital environments shape adolescent development across cognitive, emotional, psychological, social, and physical domains. The urgency stems from how contemporary platforms operate through sophisticated algorithms and AI systems that actively influence adolescents' experiences in ways fundamentally different from previous technologies.

Existing research provides limited understanding of how digital platforms specifically affect adolescent developmental experiences, with little consensus on the direction, magnitude, or mechanisms of impact. The special issue invites empirical and theoretical investigations using diverse methodologies to understand how platform designs, algorithmic systems, and regulatory approaches both benefit and harm adolescent development. Contributions should examine the mechanisms by which platform affordances and AI systems shape developmental outcomes in diverse global populations.

Appel publié par Journal of the Association for Information Systems. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• Platform architectures and affordances
• Notification systems and engagement metrics
• Algorithmic curation and recommendation systems
• Generative AI and chatbots for adolescents
• AI literacy and digital resilience
• Information practices in digital environments
• Identity development and social relationships
• Privacy and data protection
• Screen time and physical health
• Mental health and well-being
• Design science for adolescent safety
• Policy and regulation of digital platforms
• Content moderation and age verification
• Comparative platform design studies
• Socioeconomic and cultural differences in digital access

Timeline

• April 9, 2027: Online information session
• November 1, 2027: Deadline for paper submission
• March 1, 2028: First-round decisions
• July 1, 2028: Deadline to submit revised papers
• October 30, 2028: Second-round decisions
• March 1, 2029: Deadline to submit revised papers
• July 1, 2029: Provisional/Final decisions
• August 1, 2029: Deadline to submit final paper (if minor revision is required)

Associate editors

• Tina Blegind Jensen, Copenhagen Business School
• Noel Carroll, University of Galway
• Aaron Cheng, London School of Economics
• J.J Hsieh, Georgia State University
• Tabitha James, Virginia Tech
• Hanna Krasnova, University of Potsdam
• Dong-Heon (Austin) Kwak, Kent State University
• Stephen McCarthy, University College Cork
• Antonia Meythaler, Ludwig Maximilian University of Munich
• Mahya Ostovar, University of Galway
• Ana Ortiz de Guinea Lopez de Arana, HEC Montréal
• Lauren A. Rhue, New York University
• Stefan Tams, HEC Montréal
• Ofir Turel, University of Melbourne
• Yingqin Zheng, University of Essex

Jhih-Syuan (Elaine) Lin, National Chengchi University

Chen Lou, Nanyang Technological University

This special issue examines influencer advertising as an evolving interactive system shaped by technological advances, platform algorithms, and changing consumer expectations. The field has shifted from viewing influencers as isolated persuasion sources to understanding them as components within human-machine systems where outcomes emerge from interactions among influencers, platforms, algorithms, and audiences.

The special issue addresses both opportunities and risks in influencer advertising. While new technologies enable brand engagement, influencer advertising also presents boundary conditions and unintended consequences, including concerns about deceptive practices, consumer vulnerability, and well-being impacts, particularly within increasingly AI-mediated ecosystems.

The journal invites original research that theoretically and empirically examines how and when influencer advertising succeeds or fails, with particular emphasis on work integrating contemporary technological contexts and rigorous methodology across consumer behavior, technology innovation, industry development, negative effects, and global trends.

Appel publié par Journal of Interactive Advertising. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• eWOM, social proof, and interactive persuasion dynamics in influencer advertising
• Persuasion processes and boundary conditions
• Emotional engagement, (trans)parasocial interaction, and relational dynamics in influencer content
• Trust, authenticity, and credibility calibration across influencer types
• Unintended and counter-persuasive effects
• AI-mediated and synthetic persuasion agents
• Immersive and extended realities in influencer advertising
• Platform affordances and algorithmic amplification of influencer content
• Interactive commerce and creator-led retail ecosystems (e.g., live streaming, social shopping, short-form video)
• Influencer advertising as a profession and creator-economy dynamics
• Disclosure, regulation, and governance as interactive design challenges
• Measurement, attribution, and performance evaluation in influencer advertising
• Brand–influencer–platform–AI relationship management and governance
• The dark side of interactive and AI-mediated influencer persuasion
• Influencer fatigue, burnout, and long-term relational consequences
• Consumer vulnerability, well-being, and societal implications
• Long-term influencer partnerships in interactive and AI-enabled media
• Influencers, activism, and social or political causes
• Diversity, representation, and inclusion in influencer advertising
• Global and non-Western contexts as theory-generating sites
• Future directions in hybrid, immersive, and automated influencer campaigns

Timeline

• December 31, 2026: Manuscript deadline

This special issue in Industrial Marketing Management explores how artificial intelligence and social media are reshaping B2B marketing landscapes. The focus is on understanding the transformative impact of these technologies on business relationships, organizational capabilities, and the mechanisms through which value is created in B2B contexts.

Appel publié par Industrial Marketing Management. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Timeline

• April 1, 2027: Full paper submission deadline

Linda Tuncay Zayer, Loyola University Chicago

Jing Yang, Boston University

Shu-Chuan (Kelly) Chu, DePaul University

Appel publié par International Journal of Advertising. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• Ethical implications of AI, social media, AR, VR, metaverse, and other emerging technologies
• Ethics and well-being related to AI companions, bots, and virtual influencers
• Personalized content generation and psychological manipulation concerns
• Algorithmic amplification of beneficial versus harmful advertising content
• Anthropomorphic design ethics and emotional manipulation through physical presence of AI/Robot
• Consent and autonomy in human-robot advertising/marketing communication interactions
• Parasocial relationships with advertising/marketing communication robots and their exploitation
• Consumer understanding and control of integrated AI advertising experiences
• Data sharing and privacy concerns across social media platforms and emerging technologies
• Building AI and digital media literacy
• Children's well-being related to AI, social media and new technologies
• Elderly consumers and potential exploitation through advertising systems embodied by emerging technologies
• Consumer involvement in advanced advertising system design and governance
• Professional ethics for AI-automated decision-making
• Deepfakes and synthetic media ethics in commercial contexts
• Synthetic data and digital twins in the advertising context
• Automation and replacement of advertising industry employees by AI
• Bias detection, measurement, and mitigation strategies across digital applications
• Bias and representational harms of AI-generated advertising and other emerging technologies
• Extremism, misogyny, and gender-based violence enabled by AI, social media, and emerging technologies
• Immersive storytelling, embodiment, and consumer well-being in hybrid digital–physical advertising experiences
• Sustainability issues related to the use of AI in advertising industry
• AI, energy consumption, and the carbon footprint of the advertising industry

Timeline

• August 31, 2026: Manuscript deadline