Editorial note

The Editorial Board, together with the journal's reviewers, plays a vital role in the selection of content and in upholding the journal's quality standards.The Industry Watch and Emerging Trends columns, led, respectively, by the distinguished columnists Robert Dale and Ken Church, continue to be highly influential, attracting a diverse and global readership, and constitute significant assets to the journal.Building on the success of its thematic columns, Volume 32 will introduce two new columns.The first, entitled Natural Language Processing for Social Good (NLP4SG), will focus on the positive societal impact of NLP research and applications.It will examine how language technologies can contribute to addressing major global challenges in areas such as healthcare, education, environmental sustainability and human rights.The column will cover a broad range of applications, including content moderation, mental health support, human rights monitoring and accessibilityenhancing technologies.In addition, it will feature case studies, discussions on evaluation and deployment, and analyses of underexplored domains in which NLP can generate meaningful and sustained social impact.This column will be led by Tharindu Ranasinghe, Associate Editor of the journal.The second column, Responsible Natural Language Processing (RNLP), will address issues related to the design, evaluation, and governance of NLP technologies.While modern NLP systems provide powerful capabilities for communication, personalisation and content generation across text, speech and multimodal media, they also raise significant concerns regarding bias, fairness, transparency, explainability, misuse and the erosion of human agency.RNLP will provide a dedicated forum for connecting technical advances with ethical considerations, accountability and real-world deployment.It will bring together interdisciplinary perspectives, highlight practical approaches to improving fairness, transparency and explainability, and explore how governance, user experience and cultural context can be integrated into system design.