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Comparing Social Media Data and Survey Data in Assessing the Attractiveness of Beijing Olympic Forest Park
13 references·4 citing·52 second hop
Comparing Social Media Data and Survey Data in Assessing the Attractiveness of Beijing Olympic Forest Park (2018)Comparing Social Media Data and Survey Da…Quantifying Tourist Behavior Patterns by Travel Motifs and Geo-Tagged Photos from Flickr (2017)Quantifying Tourist Behavior …Revealing Cultural Ecosystem Services through Instagram Images: The Potential of Social Media Volunteered Geographic Information for Urban Green Infrastructure Planning and Governance (2016)Revealing Cultural Ecosystem …Crowdsourcing a Collective Sense of Place (2016)Crowdsourcing a Collective Se…Visualizing the perceived environment using crowdsourced photo geodata (2015)Visualizing the perceived env…Social Sensing: A New Approach to Understanding Our Socioeconomic Environments (2015)Social Sensing: A New Approac…Evaluation of the sustainable tourism potential of a protected area for landscape planning: a case study of the ancient city of Pompeipolis in Kastamonu (2015)Evaluation of the sustainable…Big-data applications in the government sector (2014)Big-data applications in the …Using social media to quantify nature-based tourism and recreation (2013)Using social media to quantif…CRITICAL QUESTIONS FOR BIG DATA (2012)CRITICAL QUESTIONS FOR BIG DA…Big Data for All: Privacy and User Control in the Age of Analytics (2012)Big Data for All: Privacy and…Temporal Patterns of Happiness and Information in a Global Social Network: Hedonometrics and Twitter (2011)Temporal Patterns of Happines…Increasing walking (2005)Increasing walkingMeasuring Destination Attractiveness: A Contextual Approach (1993)Measuring Destination Attract…Public perceptions of environmental, social, and governance (ESG) based on social media data: Evidence from China (2023)Public perceptions of environ…Language Bias in Health Research: External Factors That Influence Latent Language Patterns (2020)Language Bias in Health Resea…The Use of E-Tools to Engage Citizens in Urban Green Infrastructure Governance: Where Do We Stand and Where Are We Going? 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References

  • 2012CRITICAL QUESTIONS FOR BIG DATA5,449 cited
  • 2005Increasing walking1,523 cited
  • 1993Measuring Destination Attractiveness: A Contextual Approach1,010 cited
  • 2011Temporal Patterns of Happiness and Information in a Global Social Network: Hedonometrics and Twitter809 cited
  • 2015Social Sensing: A New Approach to Understanding Our Socioeconomic Environments804 cited
  • 2013Using social media to quantify nature-based tourism and recreation723 cited
  • 2014Big-data applications in the government sector638 cited
  • 2012Big Data for All: Privacy and User Control in the Age of Analytics484 cited
  • 2015Visualizing the perceived environment using crowdsourced photo geodata260 cited
  • 2015Evaluation of the sustainable tourism potential of a protected area for landscape planning: a case study of the ancient city of Pompeipolis in Kastamonu190 cited
  • 2016Revealing Cultural Ecosystem Services through Instagram Images: The Potential of Social Media Volunteered Geographic Information for Urban Green Infrastructure Planning and Governance149 cited
  • 2016Crowdsourcing a Collective Sense of Place102 cited
  • 2017Quantifying Tourist Behavior Patterns by Travel Motifs and Geo-Tagged Photos from Flickr73 cited

Cited by

  • 2023Public perceptions of environmental, social, and governance (ESG) based on social media data: Evidence from China

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216 cited
  • 2018The Use of E-Tools to Engage Citizens in Urban Green Infrastructure Governance: Where Do We Stand and Where Are We Going?28 cited
  • 2018Identifying Landscape Perceptions of Visitors’ to the Taean Coast National Park Using Social Media Data - Focused on Kkotji Beach, Sinduri Coastal Sand Dune, and Manlipo Beach -12 cited
  • 2020Language Bias in Health Research: External Factors That Influence Latent Language Patterns7 cited