The rapid expansion of online social media in recent years has greatly enhanced communication among individuals. Users on these platforms can share information, interact, and stay updated on current events. However, a significant portion of recent information on social media is unreliable and, in some cases, deliberately misleading, commonly referred to as fake news. Efforts to detect or prevent fake news have primarily focused on high-resource languages such as Arabic, English, and other European languages. In contrast, low-resource languages like Tamil, Malayalam, and Kannada have received little attention due to the absence of labeled fake news corpora, fact checking websites, and NLP tools. Despite the growing presence of multilingual content on the web, the classification of false news in low-resource languages remains challenging due to the lack of annotated corpora and necessary tools. This challenge persists even with the increase in multilingual web contents. We have conducted the Fourth Workshop on Regional Fake 2025 as a part of the SPELLL 2025 conference.
Regional-FAKE 2026 Website Page: https://spell-nine.vercel.app/
Regional-FAKE 2026 Workshop Paper Submission Link: https://openreview.net/group?id=SPELLL.org%2F2026%2FWorkshop%2FRegional-FAKE#tab-your-consoles
Theme: Agentic Applications
LC4 invites work on novel computational methods to detect, classify, and model multimedia content across domains, languages, and modalities— with a special focus on Agentic AI & Autonomous Multimodal Intelligence , Low-Resource and Cross-Lingual Learning, and Human-Centered and Responsible AI in supervision‑sparse settings. We especially welcome contributions that leverage foundational models (LLMs and multimodal agents) for robust, interpretable, and socially impactful analysis in low‑resource contexts.
LC4 2026 Website Page: https://lc4workshop.github.io/
LC4 2026 Workshop Paper Submission Link: https://openreview.net/group?id=SPELLL.org/2026/Workshop/LC4
Regular submissions must describe substantial, original, completed and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included.
Regular papers may consist of 12 - 16 pages of content including references.
SPELLL 2026 also solicits short papers. Short paper submissions must describe original and unpublished work. Short papers should have a point that can be made in a few pages. Some kinds of short papers are:
Short papers may consist of 6 - 8 pages including references. Short papers will be presented in one or more oral or poster sessions. While short papers will be distinguished from regular papers in the proceedings, there will be no distinction in the proceedings between short papers presented orally and as posters.
For SPELLL 2026, the evaluation of submissions will employ a double-blind review process, ensuring impartiality and confidentiality in the assessment of papers. Under this system, the identities of both the reviewers and the authors are kept anonymous. This means that authors do not know who reviews their papers, and reviewers are unaware of the authors' identities. This approach is designed to minimize biases related to the authors' background, affiliation, or previous work, promoting an objective evaluation based on the submission's originality, relevance, importance, and clarity. Furthermore, authors are required to maintain anonymity in their citations as well. When referring to their previous work, authors should use the third person to avoid revealing their identity. For example, instead of saying "In our earlier work..." or "We previously showed that...", authors should frame these citations as if referencing another researcher's work, such as "Smith et al. (2020) demonstrated that...". This guideline helps preserve the integrity of the double-blind review process, ensuring that papers are evaluated solely on their merits.
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Word Template: https://resource-cms.springernature.com/springer-cms/rest/v1/content/19238706/data/v5Overleaf link: https://www.overleaf.com/
Accepted papers that are presented at the conference will be published in the Springer series: Communications in Computer and Information Science (CCIS).
Volumes published will be indexed in DBLP, Google Scholar, EI-Compendex, Mathematical Reviews, SCImago, Scopus. CCIS volumes are also submitted for the inclusion in ISI Proceedings.