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Use of social media data, online reviews and wikipedia page views to measure visitation patterns of outdoor attractions
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Use of social media data, online reviews and wikipedia page views to measure visitation patterns of outdoor attractions (2023)Use of social media data, online reviews …The effects of natural disasters on international tourism: A global analysis (2020)The effects of natural disast…Forecasting tourism demand with multisource big data (2020)Forecasting tourism demand wi…Passive crowdsourcing of social media in environmental research: A systematic map (2019)Passive crowdsourcing of soci…A review of research on tourism demand forecasting: Launching the Annals of Tourism Research Curated Collection on tourism demand forecasting (2019)A review of research on touri…Potential Biases in Big Data: Omitted Voices on Social Media (2018)Potential Biases in Big Data:…Big data in tourism research: A literature review (2018)Big data in tourism research:…User-Generated Geographic Information for Visitor Monitoring in a National Park: A Comparison of Social Media Data and Visitor Survey (2017)User-Generated Geographic Inf…Social Media Data Can Be Used to Understand Tourists’ Preferences for Nature‐Based Experiences in Protected Areas (2017)Social Media Data Can Be Used…Instagram, Flickr, or Twitter: Assessing the usability of social media data for visitor monitoring in protected areas (2017)Instagram, Flickr, or Twitter…The use of tracking technologies in tourism research: the first decade (2016)The use of tracking technolog…Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information (2016)Crowdsourcing, Citizen Scienc…A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism (2016)A comparative analysis of maj…What do we know about social media in tourism? A review (2014)What do we know about social …Using social media to quantify nature-based tourism and recreation (2013)Using social media to quantif…Crowdsourcing geospatial data (2010)Crowdsourcing geospatial dataDigital Footprinting: Uncovering Tourists with User-Generated Content (2008)Digital Footprinting: Uncover…Reality mining: sensing complex social systems (2005)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Understanding individual human mobility patterns (2008)Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system (2010)User-Generated Content as a Research Mode in Tourism and Hospitality Applications: Topics, Methods, and Software (2014)Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)Introduction to neogeography (2006)Citizens as sensors: the world of volunteered geography (2007)The Street Network Evolution of Crowdsourced Maps: OpenStreetMap in Germany 2007–2011 (2011)Analyzing the Contributor Activity of a Volunteered Geographic Information Project — The Case of OpenStreetMap (2012)Electronic word-of-mouth in hospitality and tourism management (2007)Role of social media in online travel information search (2009)Users of the world, unite! The challenges and opportunities of Social Media (2009)Social media in marketing: A review and analysis of the existing literature (2017)Investigating the impact of social media advertising features on customer purchase intention (2018)The Role of Social Media Content Format and Platform in Users’ Engagement Behavior (2020)Information Systems Success: The Quest for the Dependent Variable (1992)CRITICAL QUESTIONS FOR BIG DATA (2012)Big data: a revolution that will transform how we live, work, and think (2013)Bibliometrics of social media research: A co-citation and co-word analysis (2017)Predicting overall customer satisfaction: Big data evidence from hotel online textual reviews (2018)Researching Volunteered Geographic Information: Spatial Data, Geographic Research, and New Social Practice (2011)Big Data, new epistemologies and paradigm shifts (2014)Using social media to assess nature-based tourism: Current research and future trends (2020)Big data and analytics in hospitality and tourism: a systematic literature review (2021)From user-generated data to data-driven innovation: A research agenda to understand user privacy in digital markets (2021)Tourism demand modelling and forecasting—A review of recent research (2007)Predicting the Present with Google Trends (2012)Beyond the hype: Big data concepts, methods, and analytics (2014)Discovering the tourists' behaviors and perceptions in a tourism destination by analyzing photos' visual content with a computer deep learning model: The case of Beijing (2019)Asymmetric role of tourism development and technology innovation on carbon dioxide emission reduction in the Chinese economy: Fresh insights from QARDL approach (2020)Changes in air passenger demand as a result of the COVID-19 crisis: using Big Data to inform tourism policy (2020)Time Series Analysis: Forecasting and Control (1977)An Almost Ideal Demand System (1980)Forecasting with artificial neural networks: (1998)Review of tourism forecasting research with internet data (2020)Tourism Demand and the COVID-19 Pandemic: An LSTM Approach (2020)Forecasting tourism recovery amid COVID-19 (2021)Towards a framework for tourism disaster management (2001)The Gravity Model (2011)The Risk Perception Paradox—Implications for Governance and Communication of Natural Hazards (2012)Can domestic tourism relieve the COVID-19 tourist industry crisis? The case of Spain (2021)Light at the end of the tunnel: Visitors' virtual reality (versus in-person) attraction site tour-related behavioral intentions during and post-COVID-19 (2021)Digitalization and sustainability: virtual reality tourism in a post pandemic world (2022)Public Participation Geographic Information Systems: A Literature Review and Framework (2006)A Review of OpenStreetMap Data (2017)A methodological framework for analysis of participatory mapping data in research, planning, and management (2021)Social-media data for urban sustainability (2018)
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References

  • 2014What do we know about social media in tourism? A review1,117 cited
  • 2018Big data in tourism research: A literature review1,073 cited
  • 2016A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism1,056 cited
  • 2013Using social media to quantify nature-based tourism and recreation723 cited
  • 2019A review of research on tourism demand forecasting: Launching the Annals of Tourism Research Curated Collection on tourism demand forecasting526 cited
  • 2008Digital Footprinting: Uncovering Tourists with User-Generated Content470 cited
  • 2020The effects of natural disasters on international tourism: A global analysis468 cited
  • 2010Crowdsourcing geospatial data462 cited
  • 2017Instagram, Flickr, or Twitter: Assessing the usability of social media data for visitor monitoring in protected areas441 cited
  • 2016Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information434 cited
  • 2017Social Media Data Can Be Used to Understand Tourists’ Preferences for Nature‐Based Experiences in Protected Areas404 cited
  • 2019Passive crowdsourcing of social media in environmental research: A systematic map365 cited
  • 2018Potential Biases in Big Data: Omitted Voices on Social Media329 cited
  • 2017User-Generated Geographic Information for Visitor Monitoring in a National Park: A Comparison of Social Media Data and Visitor Survey

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276 cited
  • 2016The use of tracking technologies in tourism research: the first decade271 cited
  • 2020Forecasting tourism demand with multisource big data260 cited
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