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With the onset of the COVID-19 pandemic, several game mechanics of Pok\u00e9mon GO were changed to accommodate socially-distanced play. This research aims to understand the impacts of the pandemic and subsequent game adjustments on user perceptions of the game. We used an exploratory mixed-method approach, a machine learning technique (Latent Dirichlet Allocation) for topic modeling, and thematic analysis for qualitative coding of top-level Reddit comments to identify whether and how the social distancing approach changes the players' behaviors. The results demonstrate that players were less physically active, less eager to discover, and more interested in remote social practices. We discuss which players leverage social distancing changes and reflect on key game features that provide a better gaming experience in the age of remote play.<\/jats:p>","DOI":"10.1145\/3549512","type":"journal-article","created":{"date-parts":[[2022,10,31]],"date-time":"2022-10-31T14:42:43Z","timestamp":1667227363000},"page":"1-22","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":8,"title":["Pok\u00e9mon GO with Social Distancing: Social Media Analysis of Players' Experiences with Location-based Games"],"prefix":"10.1145","volume":"6","author":[{"given":"Morva","family":"Saaty","sequence":"first","affiliation":[{"name":"Virginia Tech, Blacksburg, VA, USA"}]},{"given":"Derek","family":"Haqq","sequence":"additional","affiliation":[{"name":"Virginia Tech, Blacksburg, VA, USA"}]},{"given":"Mohammadreza","family":"Beyki","sequence":"additional","affiliation":[{"name":"Virginia Tech, Blacksburg, VA, USA"}]},{"given":"Taha","family":"Hassan","sequence":"additional","affiliation":[{"name":"Virginia Tech, Blacksburg, VA, USA"}]},{"given":"D. Scott","family":"McCrickard","sequence":"additional","affiliation":[{"name":"Virginia Tech, Blacksburg, VA, USA"}]}],"member":"320","published-online":{"date-parts":[[2022,10,31]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"Proceedings of the 10th International Conference on Computational Semantics (IWCS 2013)","author":"Aletras Nikolaos","year":"2013","unstructured":"Nikolaos Aletras and Mark Stevenson . 2013 . Evaluating topic coherence using distributional semantics . In Proceedings of the 10th International Conference on Computational Semantics (IWCS 2013) --Long Papers. 13--22. Nikolaos Aletras and Mark Stevenson. 2013. Evaluating topic coherence using distributional semantics. 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