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Developing a global indicator for Aichi Target 1 by merging online data sources to measure biodiversity awareness and engagement
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References

  • 1999SURVEY RESEARCH1,852 cited
  • 2008Digital Inequality1,251 cited
  • 2010Cultural difference in motivations for using social network sites: A comparative study of American and Korean college students856 cited
  • 2014Social media for large studies of behavior647 cited
  • 2005Gender and cultural differences in Internet use: A study of China and the UK641 cited
  • 2017Social Media Data Can Be Used to Understand Tourists’ Preferences for Nature‐Based Experiences in Protected Areas404 cited
  • 2010From Environmental Campaigns to Advancing the Public Dialog: Environmental Communication for Civic Engagement304 cited
  • 2013Cultural differences in social networking site use: A comparative study of China and the United States302 cited
  • 2014Evaluating the contribution of zoos and aquariums to Aichi Biodiversity Target 1161 cited
  • 2015Quantifying the role of online news in linking conservation research to Facebook and Twitter137 cited
  • 2016Big data has big potential for applications to climate change adaptation117 cited
  • 2018‘Consuming Good’ on Social Media: What Can Conspicuous Virtue Signalling on Facebook Tell Us About Prosocial and Unethical Intentions?112 cited
  • 2014Using data from online social networks in conservation science: which species engage people the most on Twitter?98 cited
  • 2015Making retweeting social: The influence of content and context information on sharing news in Twitter

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91 cited
  • 2011Assessing the effectiveness of environmental education: mobilizing public support for Philippine crocodile conservation86 cited
  • 2017Internet scientific name frequency as an indicator of cultural salience of biodiversity73 cited
  • Cited by

    • 2021The species awareness index as a conservation culturomics metric for public biodiversity awareness53 cited