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ABIS 2026: The Effects of the Adaptive Web on Society

  • Laura Stojko*
  • , Eelco Herder
  • , Jannis Strecker-Bischoff
  • , Julia Seitz Sänger
  • , Thomas Neumayr
  • , Enes Yigitbas
  • , Mirjam Augstein
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

Abstract

ABIS is an international workshop organized by the SIG on Adaptivity and User Modeling in Interactive Software Systems of the German Gesellschaft für Informatik. For more than 30 years, the ABIS workshop has served as a highly interactive forum for discussing the state of the art in personalization, user modeling, and related areas. The 2026 edition will focus on personalization and recommendations, with particular attention to adaptation on the Web and its societal effects. To explore and discuss the effects of the adaptive Web on society, the workshop aims to bring together researchers and practitioners to share insights and discuss emerging findings and future developments. Our goal is to identify current trends, newly observed effects, and future research directions, with the overarching aim of fostering the development of this discipline and encouraging new collaborations.

Original languageEnglish
Title of host publicationWebSci Companion 2026 - Companion Publication of the 2026 18th ACM Web Science Conference
EditorsWolf-Tilo Balke, Florian Plotzky, Marc Spaniol, Eelco Herder, Lydia Manikonda, Haiming Liu, Luis-Daniel Ibanez, Rezvaneh Rezapour
PublisherAssociation for Computing Machinery, Inc
Pages108-109
Number of pages2
ISBN (Electronic)9798400724923
DOIs
Publication statusPublished - 25 May 2026
Event2026 18th ACM Web Science Conference, WebSci Companion 2026 - Braunschweig, Germany
Duration: 26 May 202629 May 2026

Publication series

NameWebSci Companion 2026 - Companion Publication of the 2026 18th ACM Web Science Conference

Conference

Conference2026 18th ACM Web Science Conference, WebSci Companion 2026
Country/TerritoryGermany
CityBraunschweig
Period26.05.202629.05.2026

Keywords

  • Adaptive Web
  • Personalization
  • Recommendations
  • Societal Effects

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