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Introducing a more-than-quantitative approach to explore emerging structures of feeling in the everyday
16 references·1 citing·48 second hop
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References

  • 1978Marxism and Literature4,734 cited
  • 2014Big Data, new epistemologies and paradigm shifts2,351 cited
  • 2016Thinking critically about and researching algorithms1,200 cited
  • 2016The SAGE Handbook of Social Media Research Methods775 cited
  • 2022Taxonomy of Risks posed by Language Models750 cited
  • 2013Big data and human geography591 cited
  • 2013The Geography of Happiness: Connecting Twitter Sentiment and Expression, Demographics, and Objective Characteristics of Place515 cited
  • 2013Authenticity and well-being on social network sites: A two-wave longitudinal study on the effects of online authenticity and the positivity bias in SNS communication466 cited
  • 2023AI as Agency Without Intelligence: on ChatGPT, Large Language Models, and Other Generative Models402 cited
  • 2015Social Media and the City: Rethinking Urban Socio-Spatial Inequality Using User-Generated Geographic Information388 cited
  • 2018Social Media data: Challenges, opportunities and limitations in urban studies327 cited
  • 2014Mapping the data shadows of Hurricane Sandy: Uncovering the sociospatial dimensions of ‘big data’253 cited
  • 2016Algorithms (and the) everyday205 cited
  • 2011Crossing the qualitative-quantitative chasm I134 cited
  • 2016

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Beyond data collection: Objectives and methods of research using VGI and geo-social media for disaster management
106 cited
  • 2017Using Twitter data in urban green space research: A case study and critical evaluation94 cited
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    • 2023Towards a study of everyday geographic information: Bringing the everyday into view6 cited