The field of natural language processing and social media analysis is moving towards a more comprehensive understanding of linguistic and sociological dynamics. Recent developments have focused on advancing multimodal speech recognition, particularly in low-resource languages, and improving the analysis of social media discourse to understand the dissemination of extremist ideologies. Noteworthy papers include: The introduction of LRW-Persian, a large-scale lipreading dataset for the Persian language, which enables rigorous benchmarking and supports cross-lingual transfer. The creation of the Arabic Little STT dataset, which highlights the need for dedicated child speech benchmarks and inclusive training data in automatic speech recognition development.