Generated by DeepSeek V3.2| International Workshop on Adversarial Information Retrieval on the Web | |
|---|---|
| Name | International Workshop on Adversarial Information Retrieval on the Web |
| Abbreviation | AIRWeb |
| Discipline | Information retrieval, web search, security |
| Publisher | ACM, Springer |
| Country | Varies |
| Website | http://airweb.org/ |
International Workshop on Adversarial Information Retrieval on the Web. This workshop, commonly known as AIRWeb, was a premier academic forum focused on the adversarial challenges facing modern web search engines and information retrieval systems. It brought together researchers from industry and academia to combat web spam, click fraud, and other forms of malicious manipulation. The workshop ran annually, often in conjunction with major conferences like the WWW Conference or the SIGIR conference.
The inaugural AIRWeb workshop was held in 2005 in Chiba, Japan, co-located with the WWW Conference. Its creation was a direct response to the escalating "arms race" between search engine developers and malicious actors seeking to exploit PageRank and other ranking algorithms. Early organizers and steering committee members included prominent figures from Yahoo! Research, Microsoft Research, and Google. The workshop emerged from earlier efforts within the information retrieval community, such as the TREC spam track, and paralleled growing concerns in the computer security field. For many years, it served as the central venue for publishing foundational work on web spam detection, influencing the development of core defenses at major Silicon Valley companies.
The workshop's agenda consistently centered on adversarial techniques and countermeasures in web search. A primary focus was web spam, including link farms, keyword stuffing, and cloaking. Research also delved into social media manipulation, such as Twitter astroturfing and Facebook like farms, as well as search engine optimization (SEO) abuse. Other key themes included click fraud in online advertising networks, the security of recommender systems, and the detection of malware distribution networks. The workshop frequently featured analyses of web graph properties corrupted by spamdexing and evaluations of new algorithms using datasets from the ClueWeb project or the WEBSPAM-UK2007 collection.
AIRWeb typically followed a single-day format featuring peer-reviewed paper presentations, invited talks from leading experts, and panel discussions. Submission were rigorously reviewed by a program committee composed of researchers from institutions like Carnegie Mellon University, University of Massachusetts Amherst, and Stanford University. Accepted papers were published in the ACM Digital Library or Springer's Lecture Notes in Computer Science series. The workshop often included a shared task or data challenge, such as the AIRWeb Challenge, to foster direct competition on problems like spam classification. Proceedings from these meetings are considered essential reading for professionals in search quality and trust and safety teams.
The workshop had a significant impact on both academia and the technology industry. Research presented at AIRWeb directly influenced anti-spam systems at Google, Bing, and Yahoo! Search. Notable contributions include early work on TrustRank by researchers from Stanford University and Yahoo!, and the SpamRank algorithm. The workshop also helped establish standardized metrics and benchmarks for evaluating spam detection methodologies. Many authors who presented at AIRWeb, such as Zoltán Gyöngyi and András A. Benczúr, became leading authorities in the field. Its findings regularly informed broader discussions at the WWW Conference and the KDD conference.
AIRWeb was part of a larger ecosystem of scholarly meetings addressing web integrity and security. Closely related events included the Workshop on Information Credibility on the Web (WICOW), the Collaboration, Electronic messaging, Anti-Abuse and Spam Conference (CEAS), and the ACM Workshop on Artificial Intelligence and Security (AISec). Its thematic scope also overlapped with tracks at the USENIX Security Symposium and the IEEE Symposium on Security and Privacy. Following its final standalone meeting, many of its core topics were absorbed into broader venues like the WWW Conference and the Web Conference (formerly WWW), which now regularly feature dedicated sessions on adversarial machine learning and misinformation.
Category:Computer science workshops Category:Information retrieval Category:Computer security