A Temporal Text-Mining Analysis of 20 Years of Web4All (W4A) Papers from 2004 to 2023
23rd International Web for All Conference, W4A 2026, Dubai, Birleşik Arap Emirlikleri, 13 - 14 Nisan 2026, ss.51-65, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Doi Numarası: 10.1145/3800424.3800591
- Basıldığı Şehir: Dubai
- Basıldığı Ülke: Birleşik Arap Emirlikleri
- Sayfa Sayıları: ss.51-65
- Anahtar Kelimeler: citation analysis, co-word analysis, correlation analysis, hierarchical clustering, temporal analysis, text mining
- Orta Doğu Teknik Üniversitesi Adresli: Evet
Özet
This paper presents a temporal text-mining analysis of the Web4All (W4A) conference proceedings from 2004 to 2023, coinciding with the conference's 20th anniversary. Using co-word analysis, hierarchical clustering, citation analysis, and correlation analysis, we examine how research topics have emerged, evolved, and influenced the intellectual landscape of web accessibility. We address three questions: (1) What research trends have characterised W4A over time? (2) Which trends have been most impactful? (3) What, if any, is the relationship between research trends and their impact? Our findings reveal substantial shifts in research focus across 20 years of publications, reflecting technological change and evolving accessibility needs. This work provides the first systematic, data-driven review of W4A papers, offering insights into the progression of web accessibility research. The results serve as a resource for researchers and practitioners seeking to understand how the field has developed and where future opportunities for innovation may emerge.