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Reactions to science communication: discovering social network topics using word embeddings and semantic knowledge

4 references·3 citing·35 second hop

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References

2018The spread of true and false news online8,787 cited
2022A Topic Modeling Comparison Between LDA, NMF, Top2Vec, and BERTopic to Demystify Twitter Posts983 cited
2017A domain keyword analysis approach extending Term Frequency-Keyword Active Index with Google Word2Vec model102 cited
2022Dictionary-based and machine learning classification approaches: a comparison for tonality and frame detection on Twitter data22 cited

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2024Identifying interdisciplinary emergence in the science of science: combination of network analysis and BERTopic60 cited
2025Science communication in social Media: Analysis of success on TikTok, Instagram, and YouTube across scientific disciplines7 cited
2025Deciphering the digital evolution: strategic insights into the Korean fashion industry through advanced analytical perspectives5 cited

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