Impact of Sentiment Adjectives on Recruitment Language: A Corpus-Based Comparison of Chinese and Spanish Job Ads

Adjectives play a key role in shaping recruitment language by influencing how job requirements and company culture are perceived. This study applies a corpus-based critical discourse analysis (CDA) to examine the use of sentiment adjectives in Chinese and Spanish job advertisements. It analyzed 160 job ads from China’s 51job.com and Spain’s Indeed platform, focusing on STEM and non-STEM fields. Using tools like TreeTagger and Rost CM6, it conducted frequency and sentiment analysis to see how adjectives reflect work environments and potential biases. The results show a strong preference for positive adjectives in Chinese ads, while Spanish ads feature a more balanced mix of neutral and positive adjectives. Interviews with recent graduates further highlight how these language patterns affect their perceptions of job opportunities. This study provides useful insights for job seekers and employers on how to write and interpret recruitment ads effectively.

Authors

Institutions

Publication Details

Journal
Journal of Education Humanities and Social Sciences
Published
2024-12-26
DOI
https://doi.org/10.54097/5s3v7517
Primary Topic
Linguistics, Language Diversity, and Identity
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of Sentiment Adjectives on Recruitment Language: A Corpus-Based Comparison of Chinese and Spanish Job Ads

Yansheng Liu, Ya‐Ting Chen
Journal of Education Humanities and Social Sciences
Linguistics, Language Diversity, and Identity
article

Impact of Sentiment Adjectives on Recruitment Language: A Corpus-Based Comparison of Chinese and Spanish Job Ads

Yansheng Liu, Ya‐Ting Chen
article en

Abstract

Adjectives play a key role in shaping recruitment language by influencing how job requirements and company culture are perceived. This study applies a corpus-based critical discourse analysis (CDA) to examine the use of sentiment adjectives in Chinese and Spanish job advertisements. It analyzed 160 job ads from China’s 51job.com and Spain’s Indeed platform, focusing on STEM and non-STEM fields. Using tools like TreeTagger and Rost CM6, it conducted frequency and sentiment analysis to see how adjectives reflect work environments and potential biases. The results show a strong preference for positive adjectives in Chinese ads, while Spanish ads feature a more balanced mix of neutral and positive adjectives. Interviews with recent graduates further highlight how these language patterns affect their perceptions of job opportunities. This study provides useful insights for job seekers and employers on how to write and interpret recruitment ads effectively.

Journal of Education Humanities and Social SciencesVol. 43
Guangxi University of Science and Technology (CN), Universidade de Santiago de Compostela (ES)
Openalex Percentile: Top 58%
Linguistics, Language Diversity, and Identity
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Impact of Sentiment Adjectives on Recruitment Language: A Corpus-Based Comparison of Chinese and Spanish Job Ads — Yansheng Liu, Ya‐Ting Chen · Journal of Education Humanities and Social Sciences (2024) | TGRS Research Map | TGRS