<hi xmlns="http://www.tei-c.org/ns/1.0" style="font-size:11pt">Initially, we manually reviewed sampled issues from 29 newspaper titles across the defined time-span to identify pages containing job advertisements. Observing patterns in the appearance of job-ad sections, we selected pages from the entire corpus based on these patterns, aiming for a high recall. Later, we fine-tuned a visual transformers-based model (Lewis et al. 2006), according to which about 34% of the pre-selected pages contained job advertisements, resulting in about 1,36 million pages relevant to our research.</hi>