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Unveiling Individual Climate Behaviors Through Digital Text: A Scoping Review of Natural Language Processing Methods
11 references·0 citing·51 second hop
Unveiling Individual Climate Behaviors Through Digital Text: A Scoping Review of Natural Language Processing Methods (2026)Unveiling Individual Climate Behaviors Th…Exploring climate change discourse on social media and blogs using a topic modeling analysis (2024)Exploring climate change disc…Framing climate change in Nature and Science editorials: applications of supervised and unsupervised text categorization (2023)Framing climate change in Nat…The social media life of climate change: Platforms, publics, and future imaginaries (2018)The social media life of clim…Identifying spatiotemporal urban activities through linguistic signatures (2018)Identifying spatiotemporal ur…Understanding scoping reviews (2016)Understanding scoping reviewsBeyond Technology: Demand-Side Solutions for Climate Change Mitigation (2016)Beyond Technology: Demand-Sid…What is the most appropriate knowledge synthesis method to conduct a review? 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References

  • 2005Scoping studies: towards a methodological framework36,603 cited
  • 2009Household actions can provide a behavioral wedge to rapidly reduce US carbon emissions1,450 cited
  • 2016Understanding scoping reviews740 cited
  • 2009The implications of population growth and urbanization for climate change493 cited
  • 2012What is the most appropriate knowledge synthesis method to conduct a review? Protocol for a scoping review345 cited
  • 2018The social media life of climate change: Platforms, publics, and future imaginaries336 cited
  • 2016Beyond Technology: Demand-Side Solutions for Climate Change Mitigation320 cited
  • 2010Interdisciplinarity and Climate Change293 cited
  • 2024Exploring climate change discourse on social media and blogs using a topic modeling analysis49 cited
  • 2018Identifying spatiotemporal urban activities through linguistic signatures46 cited
  • 2023Framing climate change in Nature and Science editorials: applications of supervised and unsupervised text categorization5 cited

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