BestRef (@BestRefNet) header
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The BestRef database contains results of assessment of over 3 million websites in different language versions of @Wikipedia.

Joined April 2020
📢 #BestRef July 2026 update! 🔬4.2 million websites from more than 400 million #Wikipedia references across 300+ language editions were analyzed. 🌍 This update provides a unique view of the sources @Wikipedia relies on most. 🔍 Try it now: bestref.net
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📰🔍 Accuracy and #PoliticalBias of News Source #Credibility Ratings by Large Language Models. 🤖⚖️ 📊 Left: correlation among different #LLMs and human experts. 📈 Right: ratings generated by LLMs with different partisan roles. Source: dl.acm.org/doi/full/10.1145/…
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#Polarization and #reliability of news sources in #Wikipedia: top 5 news outlets reliability class for different political polarization groups, including @nytimes, @Telegraph, @washingtonpost, @timesofindia, @FoxNews. Source: doi.org/10.1108/OIR-02-2023-…
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Finnish #Wikipedia - information about 3.37 million references was extracted from 559.93 thousand articles. This allowed to identify and assess 138,320 websites as sources of information. bestref.net/fi
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Serbian #Wikipedia - information about 3.58 million references was extracted from 674.48 thousand articles. This allowed to identify and assess 102,246 websites as sources of information. bestref.net/sr
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Vietnamese #Wikipedia - information about 3.8 million references was extracted from 1.29 million articles. This allowed to identify and assess 147,041 websites as sources of information. bestref.net/vi
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Catalan Wikipedia - information about 3.9 million references was extracted from 735.55 thousand articles. This allowed to identify and assess 197,470 websites as sources of information. bestref.net/ca
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Ukrainian #Wikipedia - information about 5.46 million references was extracted from 1.29 million articles. This allowed to identify and assess 217,787 websites as sources of information. bestref.net/uk #verifiability #reputation
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Arabic #Wikipedia - information about 6.36 million references was extracted from 1.22 million articles. This allowed to identify and assess 294,089 websites as sources of information. bestref.net/ar
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Portuguese @Wikipedia - information about 7.69 million references was extracted from 1.11 million articles. This allowed to identify and assess 319,534 websites as sources of information. bestref.net/pt #datascience #reliability #bestref
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