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<!doctype html>

<head>

<title>Workshop on Emerging Trends in Web Advertising</title>

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<h1 id=home><span class="tagline h3">The Web Conference Workshop 2026</span> Workshop on Emerging Trends

in Web Advertising</h1>

<h2 class=h3>Research and Brainstorming Event</h2>

<div class="d-flex flex-wrap justify-center"><a class="btn m-1" href=#call-for-paper>Call for

Papers</a><a class="btn m-1" href=#organisors>Workshop Organisation</a><a class="btn m-1"

href=#agenda>Accepted Papers and Agenda</a></div>

</div>

</header>

<p>The field of web advertising is rapidly evolving, driven by emerging technologies and innovative

approaches that aim to enhance user privacy, AI-driven technologies and more personalised

experiences. The exploration of new trends and technologies is crucial in the dynamic landscape,

especially with the recent privacy-focused initiative in digital advertising and immersive

technologies. In this blended workshop on <em>Emerging Trends in Web Advertising</em>, the Web

Standards Group at Samsung Research and Development Institute UK (SRUK) invites experts from

advertising, privacy, data science, and related disciplines to showcase their research and insights

on the latest advancements in the field. The workshop will explore key areas such as data privacy in

advertising, AI-driven analytics, and the role of immersive technologies in ad delivery. This event

serves as a collaborative platform to exchange experiences, discuss challenges, and explore

opportunities in leveraging these technologies to redefine web advertising. Participants will have

the opportunity to present their work, engage in scholarly discourse, and collaborate on shaping the

future trajectory of this interdisciplinary field.

<p>The workshop is structured into two parts: the <strong>Research session</strong> and the

<strong>Brainstorming session</strong>, designed to facilitate both scholarly exchange and

collaborative exploration of emerging technologies in web advertising.

<h2 id=research-session>Research session</h2>

<p>The Research session will follow a classic presentation-style format, featuring invited talks and

paper presentations. The provisional agenda for this session is as follows:

<ul>

<li>Welcome/opening by the organisers: A brief introduction to the workshop, its objectives, and the

agenda.

<li>Invited talk on AI and Advertising: A presentation by an academic expert focusing on Agentic AI

and machine learning in the context of private advertising, exploring their role in enhancing

user privacy while maintaining effective advertising strategies.

<li>Paper presentations: Presentations of accepted research papers, followed by Q&A sessions to

encourage discussion and feedback.

</ul>

<h2 id=brainstorming-session>Brainstorming session</h2>

<p>The Brainstorming session will focus on practical insights and collaborative problem-solving. This

session in divided in two brainstorming sessions:

<ul>

<li><em>Emerging advertising platform:</em> A 90-minute discussion beginning with a mini

presentation on the WebXR Device API, followed by an open discussion exploring challenges,

implementation technologies, and the role of sensors, haptic feedback, and vision recognition in

immersive advertising. The discussion will also address market trends and future predictions.

<li><em>Post-cookie advertising:</em> A 90-minute discussion beginning with a mini presentation on

privacy initiatives in the web ecosystem, followed by an open discussion on the impact of

private advertising initiatives and other efforts to enhance post-cookie era across the

advertising ecosystem.

</ul>

<p>This blended approach ensures a balanced combination of academic rigour and practical innovation,

providing participants with opportunities to share knowledge, engage in meaningful discussions, and

collaborate on shaping the future of web advertising.

</section>

</div>

<h2 id=call-for-paper>Call For Paper</h2>

<p>Workshop papers must be written in English, in double-column format, and must adhere to the ACM

template and formatting, at least 4 pages, excluding the references. The maximum page

limit for the workshop is 8 pages, excluding the references, up to a maximum of 12 (twelve) pages in

total. Submissions should have the same format as the main conference papers

(<a

href="https://www2026.thewebconf.org/calls/research-tracks.html">https://www2026.thewebconf.org/calls/research-tracks.html</a>).

Word users may use the Word Interim

Template.

<p>Papers will be peer-reviewed and selected for the presentation. We also welcome recent and ongoing

research studies submissions (including the vision papers, short papers and SoK).

<p>Large Language Models (LLMs) (e.g., ChatGPT) cannot be considered authors. You can use LLMs to

rephrase your text, but you are solely responsible for the text in the paper.

<p>The review process will be double-blind. The submitted document should omit any author names,

affiliations, or other identifying information. This may include, but is not restricted to

acknowledgments, self-citations, references to prior work by the author(s), and so on. Please use

the third-person to identify your own prior work. You may explicitly refer in the paper to

organisations that provided datasets, hosted experiments, or deployed solutions and tools.

<p><strong>Paper Submission on <a

href="https://easychair.org/my2/conference?conf=www2026workshops">easychair.</a></strong>

<h3 id=main-conference-recycled-paper-submission>Main Conference Recycled Paper Submission</h3>

<p>We have a special submission call for the <b>recycled papers</b> from the main conference. These papers will undergo a fast-track review process. For the submission, <u>Please include the original review as an

appendix.</u> We assure that the review will remain confidential. Please see the <a

href=#important-dates-aoe>Important Dates section</a> for detail on that.

<h2 id=topics>Topics</h2>

<p>The blended workshop aims to explore the dynamic and rapidly evolving landscape of web advertising,

focusing on cutting-edge technologies, ethical considerations, and future trends. By addressing a

wide range of topics, the event seeks to foster interdisciplinary dialogue and collaboration among

researchers, practitioners, and policymakers. Below is a list of key topics of interest that will

guide the discussions and research contributions during the workshop:

<ul>

<li>Post-Cookie Contextual Advertising

<li>Privacy-Enhancing Technologies in Web Advertising

<li>Immersive Advertising: AR/VR/MR Applications

<li>Machine Learning and AI in Web Advertising

<li>Ethical Considerations in Web Advertising

<li>User Experience (UX) Design for Web Advertising

<li>Data-Driven Personalisation in Web Advertising

<li>Blockchain and Decentralised Advertising Models

<li>Cross-Platform Advertising Strategies

<li>Behavioural Advertising and Consumer Privacy

<li>Web Advertising and Accessibility for Diverse Audiences

<li>Web Standards and Advertising Technologies

<li>Emerging Trends in Programmatic Advertising

<li>Sustainability in Web Advertising: Energy Efficiency and Environmental Impact

<li>Ad Fraud Detection and Prevention Techniques

<li>Cultural and Regional Differences in Advertising Strategies

<li>Interactive and Gamified Advertising Experiences

<li>Malvertising detection and prevention

<li>Age-specific Web advertisement

<li>Vulnerabilities in advertising ecosystems

</ul>

<h2 id=important-dates-aoe>Important Dates (AoE)</h2>

<ul>

<li>Workshop paper submission (Extended): <s>31 December, 2025</s> <span style="color:red">11 January, 2026</span>

<li><b>Recycled Paper Fast Track submission: 13 - 18 January, 2026</b>

<li>Workshop paper notification: 19 January, 2026

<li>Workshop paper camera-ready (Extended): <s>26 January, 2026</s> <span style="color:red">2 February, 2026</span>

<li>Workshops: April 13, 2026

</ul>

</section>

</div>

<h2 id=organising-committees>Organising Committees</h2>

<h3 id=workshop-chair>Workshop Chair</h3>

<ul>

<li>Ehsan Toreini (<a href=mailto:[email protected]>[email protected]</a>, Samsung Research

and Development Institute UK)

<li>Muadh Al Kalbani (<a href=mailto:[email protected]>[email protected]</a>, Samsung

Research and Development Institute UK)

</ul>

<h4 id=contact-us>Contact us</h4>

<p>For any questions, please reach out to the organisors’ email addresses.

<h3 id=media-chair>Media Chair</h3>

<ul>

<li>Ananya Kittane Yogananda (<a href=mailto:[email protected]>[email protected]</a>,

Samsung Research and Development Institute UK)

</ul>

<h3 id=program-committee>Program Committee</h3>

<ul>

<li>Maryam Mehrnezhad (Royal Holloway university of London)

<li>Matthew Atkinson (Samsung Research and Development Institute UK)

<li>Elizabeth Quaglia (Royal Holloway university of London)

<li>Roman Bauer (University of Surrey)

<li>Maite Frutos-Pascual (Birmingham City University)

<li>Stamos Katsigiannis (Durham University)

<li>Vinoba Vinayagamoorthy (Samsung Research and Development Institute UK)

<li>Charles Morisset (Durham University)

<li>Shrikant Malviya (SV National Institute of Technology)

<li>Roben Castagna Lunardi (IFRS)

<li>Marco Agus (Hamad Bin Khalifa University)

<li>Angeliki Tzouganato (OpenAIRE AMKE)

<li>Mina Alishahi (Open Universiteit)

<li>Yasuhiro Yoshida (Google)

</ul>

</section>

</div>

<h2 id=accepted-papers>Accepted Papers</h2>

<ol>

<li><b>Towards Automated Brand-Safety Detection: A Novel Dataset and Comparative Analysis of Language Models</b>, <i>Xin Peng and Gerald Penn</i>

<li><b>Feedback Control for Small Budget Campaigns in Advertising</b>, <i>Sreeja Apparaju, Yichuan Niu and Xixi Qi</i>

<li><b>Calculating Narrative Tension for Ad Placement in Online Narrative Fiction</b>, <i>Vedansh Mehta, Sajad Shirali-Shahreza and Gerald Penn</i>

<li><b>Anatomy of Generative Scam Campaigns in Online Advertising Ecosystems</b>, <i>Ewelina Bartuzi-Trokielewicz and Alicja Martinek</i>

<li><b>Smart Fast Finish: Preventing Overdelivery via Daily Budget Pacing at DoorDash</b>, <i>Rohan Garg, Yongjin Xiao, Jason Yang and Mandar Rahurkar</i>

<li><b>HarmonRank: Ranking-aligned Multi-objective Ensemble for Live-streaming E-commerce Recommendation</b>, <i>Boyang Xia, Zhou Yu, Zhiliang Zhu, Hanxiao Sun, Biyun Han, Jun Wang, Runnan Liu and Wenwu Ou</i>

</ol>

<h2 id=workshop-agenda>Workshop Agenda</h2>

<p>TBA

</section>

</div>

</main>

<p>This website is built using <a href=https://www.getzola.org>Zola</a> and the <a

href=http://github.com/aterenin/academic-workshop />Academic Workshop</a> theme, which is <a

href=https://jeffhuang.com/designed_to_last />designed to last</a>.

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