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Quantifying Biases in Social Media Analysis of Recreation in Urban Parks
16 references·0 citing·38 second hop
Quantifying Biases in Social Media Analysis of Recreation in Urban Parks (2020)Quantifying Biases in Social Media Analys…The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City (2021)The Livehoods Project: Utiliz…Exploiting Semantic Annotations for Clustering Geographic Areas and Users in Location-based Social Networks (2021)Exploiting Semantic Annotatio…Urban Computing Leveraging Location-Based Social Network Data (2019)Urban Computing Leveraging Lo…The Geographic Spread and Preferences of Tourists Revealed by User-Generated Information on Jeju Island, South Korea (2019)The Geographic Spread and Pre…Passive crowdsourcing of social media in environmental research: A systematic map (2019)Passive crowdsourcing of soci…Recreational use in dispersed public lands measured using social media data and on-site counts (2018)Recreational use in dispersed…Algorithms of Oppression (2018)Algorithms of OppressionWeapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2017)Weapons of Math Destruction: …Instagram, Flickr, or Twitter: Assessing the usability of social media data for visitor monitoring in protected areas (2017)Instagram, Flickr, or Twitter…Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2016)Weapons of Math Destruction: …Measuring recreational visitation at U.S. National Parks with crowd-sourced photographs (2016)Measuring recreational visita…Man is to Computer Programmer as Woman is to Homemaker? 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(2009)Uses and Limitations of Social Media to Inform Visitor Use Management in Parks and Protected Areas: A Systematic Review (2020)Using social media to estimate visitor provenance and patterns of recreation in Germany's national parks (2020)Social Media Data Can Be Used to Understand Tourists’ Preferences for Nature‐Based Experiences in Protected Areas (2017)Social-media data for urban sustainability (2018)The global landscape of AI ethics guidelines (2019)On the Opportunities and Risks of Foundation Models (2021)When data is capital: Datafication, accumulation, and extraction (2019)What Do Platforms Do? Understanding the Gig Economy (2020)
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References

  • 2017Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy3,071 cited
  • 2018Algorithms of Oppression2,709 cited
  • 2016Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy2,335 cited
  • 2016Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings1,615 cited
  • 2013Using social media to quantify nature-based tourism and recreation723 cited
  • 2021The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City565 cited
  • 2017Instagram, Flickr, or Twitter: Assessing the usability of social media data for visitor monitoring in protected areas441 cited
  • 2019Passive crowdsourcing of social media in environmental research: A systematic map365 cited
  • 2015Recreational demand for clean water: evidence from geotagged photographs by visitors to lakes276 cited
  • 2016Measuring recreational visitation at U.S. National Parks with crowd-sourced photographs191 cited
  • 2021Exploiting Semantic Annotations for Clustering Geographic Areas and Users in Location-based Social Networks177 cited
  • 2019Urban Computing Leveraging Location-Based Social Network Data118 cited
  • 2018Recreational use in dispersed public lands measured using social media data and on-site counts113 cited
  • 2010ePluribus: Ethnicity on Social Networks

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104 cited
  • 2019The Geographic Spread and Preferences of Tourists Revealed by User-Generated Information on Jeju Island, South Korea64 cited
  • 2015Measuring Urban Deprivation from User Generated Content59 cited
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