Foreign Employment as a Socio-Economic Challenge: Media Salience and Sentiment in Hungarian Online Newshdl:21.15109/ARP/YZCZCOARP2026-07-021T. Nagy, Judit; Balogh, Eszter; Lőrincz, Dorka; Cziráki, Károly Tamás; Szvetelszky, Zsuzsanna, 2026, "Foreign Employment as a Socio-Economic Challenge: Media Salience and Sentiment in Hungarian Online News", https://hdl.handle.net/21.15109/ARP/YZCZCO, ARP, V1Foreign Employment as a Socio-Economic Challenge: Media Salience and Sentiment in Hungarian Online Newshdl:21.15109/ARP/YZCZCOT. Nagy, JuditBalogh, EszterLőrincz, DorkaCziráki, Károly TamásSzvetelszky, Zsuzsanna2026-06-30ARPBujdos, Boglárka AlexandraBujdos, Boglárka Alexandra2026-07-02Social Scienceslabour marketlabour mobilitymigration discourseonline pressonline press corpussentiment analysissocio-economic inequalitiessocio-economic challengesThis repository contains the research data underlying the article "Foreign Employment as a Socio-Economic Challenge: Media Salience and Sentiment in Hungarian Online News". The study is based on materials derived from the ELTE.DH Pilot Corpus (Indig et al., 2020). To support transparency and reproducibility, the repository provides metadata and analytical outputs generated during the research process. Original article texts are not included.<a href="http://creativecommons.org/licenses/by-nc/4.0">CC BY-NC 4.0</a>Indig, B., Knap, Á., Sárközi-Lindner, Z., Timári, M., & Palkó, G. (2020). The ELTE.DH Pilot Corpus – Creating a Handcrafted Gigaword Web Corpus with Metadata. Proceedings of the 12th Web as Corpus Workshop.foreign_employment_annual_sentiment_indicators.xlsxVariables include: - annual number of articles - positive word ratio - negative word ratio - neutral word ratio - Sentiment Gap Index (SGI)application/vnd.openxmlformats-officedocument.spreadsheetml.sheetforeign_employment_article_dataset.xlsxVariables: - portal: source news portal - datum: publication date - title: article title - minta: filtering indicator - forras_fajl: source corpus file - word_sum: total number of words in the article - filter_sum: number of keyword matches - percent: percentage of keyword matches within the articleapplication/vnd.openxmlformats-officedocument.spreadsheetml.sheetReadme.txttext/plain