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Norwegian pre-trained language models in the spotlight: how well do they perform in automated claim detection? 

Norwegian pre-trained language models in the spotlight: how well do they perform in automated claim detection? 

Embarking on uncharted terrain, MediaFutures scientists conducted a study to assess the effectiveness of Norwegian pre-trained language models (LMs) in discerning veracity of claims. The results demonstrate that Norwegian pre-trained LMs outperform a SVM baseline system. Their research yields valuable insights into the future of automated claim detection tools for fact-checking in low-and medium-resourced languages.

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Exploring young people’s reluctance to pay for digital news: findings from a study by Borchgrevink-Brækhus & Moe

Exploring young people’s reluctance to pay for digital news: findings from a study by Borchgrevink-Brækhus & Moe

A recent study by Marianne Borchgrevink- Brækhus and Hallvard Moe challenges the assumption that non-subscribers are inherently opposed to paying for digital news. The research reveals lack of exclusivity, unattractive payment models, and subscription news as too time-consuming, as the main reasons for young people’s unwillingness to pay for online content, and identifies a strong preference for using multiple news providers among young audiences.

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