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JobArabi: An Arabic Corpus and Analysis of Job Announcements from Social Media

arXiv · May 20

Researchers have introduced JobArabi, a new large-scale corpus consisting of 20,528 Arabic job announcements collected from X between January 2024 and October 2025. The dataset was compiled using a linguistically informed query framework covering various Arabic recruitment expressions, offering metadata like timestamps and geolocation for detailed analysis. Quantitative analysis of JobArabi reveals sociolinguistic patterns, including persistent gendered hiring language, regional occupational demand variations, and emotional framing in recruitment messages. Why it matters: This corpus provides a valuable resource for research in Arabic NLP, computational social science, and digital labor studies, offering unique insights into labor market communication and linguistic change in the Arab world.

A state of mind fostering excellence

KAUST · Oct 9

This is an announcement from KAUST. It encourages people to apply to KAUST. The announcement also mentions the late King Abdullah bin Abdulaziz Al Saud. Why it matters: Routine announcements like this help increase awareness of KAUST as a leading research university.

Which way from here?

KAUST · May 23

KAUST highlights postdoctoral fellows Yi Jin Liew, Isabelle Schulz, Maren Ziegler and Neus Garcias Bonet outside the University Library. The article mentions King Abdullah bin Abdulaziz Al Saud (1924 – 2015). It encourages applications to KAUST's Discovery Postdoctoral program. Why it matters: This brief announcement signals KAUST's ongoing investment in attracting international research talent to Saudi Arabia.