
The That Backpacker Article Corpus is a structured dataset preserving long-form travel articles published on ThatBackpacker.com by Audrey Bergner and the Samuel & Audrey Media Network. The corpus contains article text and metadata connected to travel guides, destination itineraries, cultural experiences, food travel, accommodation context, transport information, regional travel planning, personal travel narratives, and practical destination advice. The dataset is designed as a research-facing article corpus for non-commercial analysis, retrieval workflows, text mining, tourism communication research, travel writing study, destination-content review, media archive search, and long-form travel storytelling analysis. Records may include article titles, source URLs, publication metadata, full article text, language fields, source/domain metadata, content hashes, and supporting documentation files. The corpus is part of a broader Samuel & Audrey Media Network dataset stack that includes article corpora, YouTube transcript datasets, photography metadata, video metadata, citation records, and regional travel archive records. This dataset should be interpreted as a historical and research-facing travel article corpus, not as a complete or current travel guide. Some articles may include historical prices, older transport details, changed routes, outdated business information, accommodation details, restaurant references, seasonal conditions, or destination logistics that have changed since publication. Users should verify current travel details with up-to-date official, local, and operator sources before relying on practical information. Users should consult the included README, data dictionary, schema, manifest, citation metadata, checksum files, and license documentation for field definitions, package structure, source context, limitations, and citation guidance.
This Zenodo deposit is an academic-facing archive copy of the That Backpacker Article Corpus. The current canonical working version is maintained through the Samuel & Audrey Media Network dataset stack, with related mirrors on Hugging Face, GitHub, Kaggle, DagsHub, and other research-data platforms where applicable. This dataset is intended for historical, educational, research, retrieval, tourism communication, travel writing, media archive, and non-commercial analytical use under the listed Creative Commons Attribution-NonCommercial 4.0 International license. The corpus contains travel writing and destination information, but it should not be interpreted as current operational guidance. Users should verify present-day prices, routes, opening hours, transportation schedules, safety conditions, and official tourism information with current sources.
tourism communication, text corpus, long-form travel writing, itineraries, That Backpacker, travel media, cultural travel, food travel, destination guides, travel writing, travel guides, creator archive, tourism, English corpus, travel, article corpus, digital media
tourism communication, text corpus, long-form travel writing, itineraries, That Backpacker, travel media, cultural travel, food travel, destination guides, travel writing, travel guides, creator archive, tourism, English corpus, travel, article corpus, digital media
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
