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New Arabic job ad corpus reveals gendered language, regional trends

Researchers have developed JobArabi, a new corpus of over 20,000 Arabic job announcements scraped from social media platforms like X. This dataset, collected between January 2024 and October 2025, offers a two-year snapshot of online recruitment language across Arabic-speaking communities. Analysis of the corpus reveals persistent gendered language, regional differences in job demand, and the emotional tone of hiring messages, providing valuable insights for Arabic NLP and social science research. AI

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

IMPACT Provides a valuable resource for Arabic NLP and computational social science research into labor market communication.

RANK_REASON The cluster contains an academic paper introducing a new dataset and its analysis. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

COVERAGE [1]

  1. arXiv cs.CL TIER_1 · Houda Bouamor ·

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

    This paper introduces JobArabi, a large-scale corpus of Arabic job announcements collected from social media between January 2024 and October 2025. The dataset contains 20,528 public posts from X and captures more than two years of employment-related discourse across Arabic-speak…