2026 KAS–NCCU Global Advertising Conference
Advertising in the Age of AI and Platforms:
Transparency, Creativity, and Consumer Experience
Call for Papers
The College of Communication at National Chengchi University (NCCU), in collaboration with the Korean Academic Society of Advertising, is pleased to announce the 2026 KAS–NCCU Global Advertising Conference, to be held in Taipei, Taiwan. Building on a shared commitment to international academic exchange through KAS’s annual Global Colloquium, this year’s conference marks an important step in expanding the initiative beyond Korea and bringing together advertising researchers from diverse regions around the world.
Under the overarching theme, “Advertising in the Age of AI and Platforms: Transparency, Creativity, and Consumer Experience,” the conference will address key research areas in contemporary advertising, including AI-driven advertising, platform transparency, generative AI and advertising creativity, recommendation systems and consumer experience, as well as personalization and privacy.
In line with this focus, the conference aims to foster meaningful international dialogue by providing a platform for engagement with leading researchers and practitioners, facilitating the exchange of emerging insights in global advertising research, and supporting the advancement of participants’ scholarly work. We sincerely invite your interest and participation.
Conference Overview
- Conference: 2026 KAS–NCCU Global Advertising Conference
- Theme: Advertising in the Age of AI and Platforms: Transparency, Creativity, and Consumer Experience
- Co-hosted by: Korean Academic Society of Advertising (KAS) × National Chengchi University (NCCU)
- Dates: July 7 (Tue) – July 8 (Thu), 2026
- July 7 (Tue): Welcome Reception and Networking
- July 8 (Wed): Main Conference (Keynote Address, Plenary Panel, Research Presentations)
- Venue: Center for Public and Business Administration Education, National Chengchi University, Taipei, Taiwan
Call for Papers: Topics
Topics include, but are not limited to, the following:
- AI and Algorithmic Advertising
- Conversational AI Marketing
- Advertising Transparency and Disclosure
- Consumer Trust in Algorithmic Systems
- Personalization and Privacy
- Advertising on Recommendation Platforms
- Generative AI and Advertising Creativity
- Influencer Marketing and Creator Economy
- Ad Fatigue and Ad Avoidance
- Cross-Cultural Advertising Research
Important Dates
- Submission Deadline (Application Form & Extended Abstract): May 4, 2026
- Notification of Acceptance: May 18, 2026
- Final Paper Submission Deadline: June 22, 2026
Submission Guidelines
Please submit the following two files to the conference email (kas0264@hanmail.net) by May 4, 2026:
File 1. Application Form
- Please download and complete the application form available at: https://shorturl.at/z1TlT
- The form includes fields for the research title, author name(s), affiliation(s), and contact information.
File 2. Extended Abstract
- Must be anonymized (no author-identifying information).
- Content should include: research objectives, theoretical background, research questions and/or hypotheses, methodology, key (or expected) findings, implications, and key references.
- Length: 1,000–1,500 words (excluding references, tables, and figures).
Final Paper Submission
Authors of accepted papers should submit their final manuscript to kas0264@hanmail.net by June 22, 2026.
Submission Format:
- Full papers are strongly encouraged; extended abstracts are also accepted.
- If submitting an extended abstract as the final submission, it must include completed research findings.
- Extended Abstract Length: 1,000–1,500 words (excluding references, tables, and figures)
Review Process
- Review Method: Double-Blind Peer Review
- To ensure blind review, please remove all author-identifying information from the manuscript body, headers/footers, file name, and document properties.
Contact Information
- Department of Advertising, College of Communication, National Chengchi University
- Phone: +886-2-2939-3091 #67176 / Email: chienyu@nccu.edu.tw
