English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Human trafficking (HT) is a pervasive global issue affecting vulnerableindividuals, violating their fundamental human rights. Investigations revealthat a significant number of HT cases are associated with online advertisements(ads), particularly in escort markets. Consequently, identifying and connectingHT vendors has become increasingly challenging for Law Enforcement Agencies(LEAs). To address this issue, we introduce IDTraffickers, an extensive datasetconsisting of 87,595 text ads and 5,244 vendor labels to enable theverification and identification of potential HT vendors on online escortmarkets. To establish a benchmark for authorship identification, we train aDeCLUTR-small model, achieving a macro-F1 score of 0.8656 in a closed-setclassification environment. Next, we leverage the style representationsextracted from the trained classifier to conduct authorship verification,resulting in a mean r-precision score of 0.8852 in an open-set rankingenvironment. Finally, to encourage further research and ensure responsible datasharing, we plan to release IDTraffickers for the authorship attribution taskto researchers under specific conditions, considering the sensitive nature ofthe data. We believe that the availability of our dataset and benchmarks willempower future researchers to utilize our findings, thereby facilitating theeffective linkage of escort ads and the development of more robust approachesfor identifying HT indicators.

IDTraffickers: An Authorship Attribution Dataset to link and connect Potential Human-Trafficking Operations on Text Escort Advertisements