SLOVENSKA TISKOVNA AGENCIJA DOO

Their core work

SLOVENSKA TISKOVNA AGENCIJA (STA) is Slovenia's national news agency, producing and distributing professional news content across multiple languages and media formats. In EU research, they participated as an industry partner, contributing authentic newsroom data, multilingual content infrastructure, and professional journalism workflows to academic-led projects. Their two MSCA projects — both focused on automated analysis of large text and social media streams — reflect a practical institutional need to process multilingual news at scale. STA fills the "real-world media partner" role in research consortia, providing access to genuine news production environments that pure research organizations cannot replicate.

What they specialise in

How they've shifted over time

STA's first project (RENOIR, 2016–2019) carried no specific NLP or linguistic keywords, suggesting a broad industry-partner role focused on social media data provision. By Cleopatra (2019–2023), their contribution had crystallized around multilingual data analytics and cross-lingual event processing — a sharper, more technically defined positioning. The trajectory points toward STA being recognized less as a generic media data source and more as a specialist in cross-lingual, event-structured news analysis.

STA is moving toward structured cross-lingual NLP research, making them an increasingly specific fit for consortia working on multilingual text corpora, event detection, and computational journalism rather than general social media analysis.

How they like to work

STA has never led an H2020 project, participating exclusively as a partner or third party — consistent with a media organization that contributes domain data and real-world validation rather than driving research agendas. Despite only two projects, they engaged with 29 partners across 13 countries, which reflects the large-consortium structure of MSCA-RISE and MSCA-ITN training networks rather than deep bilateral ties. This pattern suggests they are most effective as a grounding partner that keeps academic NLP research anchored to authentic journalistic environments.

Through just two MSCA projects, STA has connected with 29 unique partners across 13 countries — an unusually wide reach for such a small project portfolio, driven by the inherently large consortium structure of MSCA training networks. Their network is European in character, with no evidence of geographic concentration beyond Slovenia.

What sets them apart

STA offers something few research partners can match: a live, production-scale multilingual newsroom with decades of structured news archives and real journalist workflows. For NLP and computational linguistics consortia, this means access to authentic, domain-labeled text corpora rather than synthetic or scraped datasets. Consortium builders looking for a credible industry voice in media analytics or cross-lingual information extraction will find STA fills that slot with genuine institutional authority.

Highlights from their portfolio

• RENOIR
  STA's first EU project engagement, bringing national news agency data and media expertise into a cross-disciplinary MSCA-RISE network on social information propagation — and the only project where they received direct EC funding (EUR 117,000).
• Cleopatra
  An MSCA-ITN doctoral training network on cross-lingual event analytics where STA's involvement as a third-party industry partner signals their growing reputation as a multilingual media data specialist.