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tweetsPhys Org
•Science
Science
88% Informative
Large language models can present and summarize content with a different tone and emphasis than the original data, potentially skewing research results.
Yi Ding and colleagues compared a climate dataset of 18,896,054 tweets that mentioned "climate change" from January 2019 to December 2021 to rephrased tweets prepared by LLMs.
Their findings are published in PNAS Nexus.
VR Score
94
Informative language
98
Neutral language
46
Article tone
formal
Language
English
Language complexity
58
Offensive language
not offensive
Hate speech
not hateful
Attention-grabbing headline
not detected
Known propaganda techniques
not detected
Time-value
long-living
External references
4
Source diversity
2
Affiliate links
no affiliate links
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