Social-media data for urban sustainability
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[1] B. Ward,et al. Urban Planet , 1971 .
[2] Paul Perry,et al. Certain Problems in Election Survey Methodology , 1979 .
[3] Charles E. Hurst. Social Inequality: Forms, Causes, and Consequences , 1992 .
[4] Scott D. Campbell,et al. Green Cities, Growing Cities, Just Cities? Urban Planning and the Contradictions of Sustainable , 1996 .
[5] M. Bradley,et al. Affective Norms for English Words (ANEW): Instruction Manual and Affective Ratings , 1999 .
[6] Jon Hawkes,et al. The fourth pillar of sustainability: culture’s essential role in public planning , 2001 .
[7] Michael K. McCall,et al. Seeking good governance in participatory-GIS: a review of processes and governance dimensions in applying GIS to participatory spatial planning , 2003 .
[8] M. Floyd,et al. Contributions of leisure studies and recreation and park management research to the active living agenda. , 2005, American journal of preventive medicine.
[9] P. Hanlon,et al. Getting strategic about the environment and health. , 2006, Public health.
[10] C. Dunn. Participatory GIS — a people's GIS? , 2007 .
[11] Robert Blackburn,et al. What is social inequality , 2008 .
[12] Mor Naaman,et al. Methods for extracting place semantics from Flickr tags , 2009, TWEB.
[13] Alessandro Acquisti,et al. Predicting Social Security numbers from public data , 2009, Proceedings of the National Academy of Sciences.
[14] David A. Bader,et al. Massive Social Network Analysis: Mining Twitter for Social Good , 2010, 2010 39th International Conference on Parallel Processing.
[15] Ross Purves,et al. Exploring place through user-generated content: Using Flickr tags to describe city cores , 2010, J. Spatial Inf. Sci..
[16] Kyumin Lee,et al. You are where you tweet: a content-based approach to geo-locating twitter users , 2010, CIKM.
[17] Qi Gao,et al. Analyzing Cross-System User Modeling on the Social Web , 2011, ICWE.
[18] Michael F. Goodchild,et al. The convergence of GIS and social media: challenges for GIScience , 2011, Int. J. Geogr. Inf. Sci..
[19] Steven Schockaert,et al. Vague regions in Geographic Information Retrieval , 2011, SIGSPACIAL.
[20] Jacob Ratkiewicz,et al. Detecting and Tracking Political Abuse in Social Media , 2011, ICWSM.
[21] Mor Naaman,et al. Geographic information from georeferenced social media data , 2011, SIGSPACIAL.
[22] Norman M. Sadeh,et al. The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City , 2012, ICWSM.
[23] Julie-Anne Carroll,et al. Using mobile social media and GIS in health and place research , 2012 .
[24] Fabrizio Silvestri,et al. How Random Walks Can Help Tourism , 2012, ECIR.
[25] D. Boyd,et al. CRITICAL QUESTIONS FOR BIG DATA , 2012 .
[26] Alexander J. Smola,et al. Discovering geographical topics in the twitter stream , 2012, WWW.
[27] N. Crossman,et al. Global estimates of the value of ecosystems and their services in monetary units , 2012 .
[28] Jeffrey Nichols,et al. Where Is This Tweet From? Inferring Home Locations of Twitter Users , 2012, ICWSM.
[29] Geert-Jan Houben,et al. Geo-Location Estimation of Flickr Images: Social Web Based Enrichment , 2012, ECIR.
[30] R. Goodspeed. The Limited Usefulness of Social Media and Digital Trace Data for Urban Social Research , 2013, Proceedings of the International AAAI Conference on Web and Social Media.
[31] Panagiotis Takis Metaxas,et al. The power of prediction with social media , 2013, Internet Res..
[32] Christopher M. Danforth,et al. The Geography of Happiness: Connecting Twitter Sentiment and Expression, Demographics, and Objective Characteristics of Place , 2013, PloS one.
[33] Mona Seymour,et al. Green Alley Programs: Planning for a sustainable urban infrastructure? , 2013 .
[34] Matthew Zook,et al. Beyond the geotag: situating ‘big data’ and leveraging the potential of the geoweb , 2013 .
[35] Kathryn Zickuhr,et al. Who’s Not Online and Why , 2013 .
[36] T. Gillespie,et al. Urban tree planting programs, function or fashion? Los Angeles and urban tree planting campaigns , 2013 .
[37] Scott A. Hale,et al. Featured Graphic. Mapping the Geoweb: A Geography of Twitter , 2013 .
[38] M. Goodchild,et al. Spatial, temporal, and socioeconomic patterns in the use of Twitter and Flickr , 2013 .
[39] A. Stefanidis,et al. Harvesting ambient geospatial information from social media feeds , 2011, GeoJournal.
[40] A. Guerry,et al. Using social media to quantify nature-based tourism and recreation , 2013, Scientific Reports.
[41] Max Mühlhäuser,et al. A Multi-Indicator Approach for Geolocalization of Tweets , 2013, ICWSM.
[42] E. Gómez‐Baggethun,et al. Classifying and valuing ecosystem services for urban planning , 2013 .
[43] Fabrício Benevenuto,et al. Comparing and combining sentiment analysis methods , 2013, COSN '13.
[44] Matthew W. Wilson,et al. Beyond the geotag: situating ‘big data’ and leveraging the potential of the geoweb , 2013 .
[45] Jiebo Luo,et al. Sentribute: image sentiment analysis from a mid-level perspective , 2013, WISDOM '13.
[46] J. Kent,et al. Spatial patterns and demographic indicators of effective social media content during theHorsethief Canyon fire of 2012 , 2013 .
[47] Rongrong Ji,et al. Large-scale visual sentiment ontology and detectors using adjective noun pairs , 2013, ACM Multimedia.
[48] Shaowen Wang,et al. Mapping the global Twitter heartbeat: The geography of Twitter , 2013, First Monday.
[49] R. Grieve,et al. Social Media as a Tool for Data Collection: Examining Equivalence of Socially Value-Laden Constructs , 2014 .
[50] M. Williams,et al. Big and broad social data and the sociological imagination: A collaborative response , 2014, Big Data Soc..
[51] The Unsustainable City , 2014 .
[52] Satish V. Ukkusuri,et al. Urban activity pattern classification using topic models from online geo-location data , 2014 .
[53] Wenwen Li,et al. Using geolocated Twitter data to monitor the prevalence of healthy and unhealthy food references across the US , 2014 .
[54] Xiang Chen,et al. Does food environment influence food choices? A geographical analysis through “tweets” , 2014 .
[55] Lisa Schweitzer,et al. Planning and Social Media: A Case Study of Public Transit and Stigma on Twitter , 2014 .
[56] S. Young. Behavioral insights on big data: using social media for predicting biomedical outcomes. , 2014, Trends in microbiology.
[57] Carlo Ratti,et al. Geo-located Twitter as proxy for global mobility patterns , 2013, Cartography and geographic information science.
[58] Robin Lovelace,et al. Geotagged tweets to inform a spatial interaction model: a case study of museums , 2014, ArXiv.
[59] Lázaro M. Bacallao-Pino,et al. Social media mobilisations: Articulating participatory processes or visibilizing dissent? , 2014 .
[60] Dong Xu,et al. Where your photo is taken: Geolocation prediction for social images , 2014, J. Assoc. Inf. Sci. Technol..
[61] M. Levy,et al. Earth System Challenges and A Multi-layered Approach for the Sustainable Development Goals , 2014 .
[62] D. Ruths,et al. Social media for large studies of behavior , 2014, Science.
[63] Matthew Zook,et al. Mapping the Data Shadows of Hurricane Sandy: Uncovering the Sociospatial Dimensions of ‘Big Data’ , 2014 .
[64] Stephen Polasky,et al. Recreational demand for clean water: evidence from geotagged photographs by visitors to lakes , 2014 .
[65] Helen Nissenbaum,et al. Big data's end run around procedural privacy protections , 2014, Commun. ACM.
[66] Daniele Quercia,et al. Mining Urban Deprivation from Foursquare: Implicit Crowdsourcing of City Land Use , 2014, IEEE Pervasive Computing.
[67] P. Roebeling,et al. Contrasting values of cultural ecosystem services in urban areas: the case of park Montjuïc in Barcelona. , 2015 .
[68] M. Johnson,et al. Circulating microRNAs in Sera Correlate with Soluble Biomarkers of Immune Activation but Do Not Predict Mortality in ART Treated Individuals with HIV-1 Infection: A Case Control Study , 2015, PloS one.
[69] Kyoji Kawagoe,et al. Tweet-mapping Method for Tourist Spots Based on Now-Tweets and Spot-photos , 2015, KES.
[70] Baoxin Li,et al. Sentiment Analysis for Social Media Images , 2015, 2015 IEEE International Conference on Data Mining Workshop (ICDMW).
[71] Jiawei Han,et al. Mining Trajectory Data and Geotagged Data in Social Media for Road Map Inference , 2015, Trans. GIS.
[72] Antonio Lima,et al. Personalized routing for multitudes in smart cities , 2015, EPJ Data Science.
[73] Matthew Zook,et al. Social Media and the City: Rethinking Urban Socio-Spatial Inequality Using User-Generated Geographic Information , 2015 .
[74] Raz Schwartz,et al. The spatial self: Location-based identity performance on social media , 2015, New Media Soc..
[75] H. Kennedy,et al. Balancing the potential and problems of digital methods through action research: methodological reflections , 2015 .
[76] Lan Mu,et al. GIS analysis of depression among Twitter users , 2015 .
[77] J. Lee,et al. Using Social Media for Emergency Response and Urban Sustainability: A Case Study of the 2012 Beijing Rainstorm , 2015 .
[78] S. Diallo,et al. You Are What You Tweet: Connecting the Geographic Variation in America’s Obesity Rate to Twitter Content , 2015, PloS one.
[79] Carlo Ratti,et al. Urban magnetism through the lens of geo-tagged photography , 2015, EPJ Data Science.
[80] Christopher M. Danforth,et al. Climate Change Sentiment on Twitter: An Unsolicited Public Opinion Poll , 2015, PloS one.
[81] Xiang Li,et al. Explore Spatiotemporal and Demographic Characteristics of Human Mobility via Twitter: A Case Study of Chicago , 2015, ArXiv.
[82] Lan Mu,et al. Effect of climate and seasonality on depressed mood among twitter users , 2015 .
[83] Bin Ran,et al. Origin-Destination Estimation for Non-Commuting Trips Using Location-Based Social Networking Data , 2015 .
[84] L. Ungar,et al. Data-Driven Content Analysis of Social Media , 2015 .
[85] Min Zhou,et al. Mapping the popularity of urban restaurants using social media data , 2015 .
[86] Shaowen Wang,et al. A scalable framework for spatiotemporal analysis of location-based social media data , 2014, Comput. Environ. Urban Syst..
[87] ‘Hacking multitude’ and Big Data: Some insights from the Turkish ‘digital coup’ , 2015 .
[88] M. Williams,et al. Who Tweets? Deriving the Demographic Characteristics of Age, Occupation and Social Class from Twitter User Meta-Data , 2015, PloS one.
[89] Alexander Dunkel,et al. Visualizing the perceived environment using crowdsourced photo geodata , 2015 .
[90] Baoxin Li,et al. Unsupervised Sentiment Analysis for Social Media Images , 2015, IJCAI.
[91] Matthew Zook,et al. Social Media and the City: Rethinking Urban Socio-Spatial Inequality Using User-Generated Geographic Information , 2015 .
[92] Themis Palpanas,et al. Where has this tweet come from? Fast and fine-grained geolocalization of non-geotagged tweets , 2016, Social Network Analysis and Mining.
[93] X. Bai,et al. Scientists must have a say in the future of cities , 2016, Nature.
[94] Paulina Guerrero,et al. Revealing Cultural Ecosystem Services through Instagram Images : The Potential of Social Media Volunteered Geographic Information for Urban Green Infrastructure Planning and Governance , 2016 .
[95] Tenley M. Conway,et al. Tending their urban forest: Residents’ motivations for tree planting and removal , 2016 .
[96] Qingyun Du,et al. Spatial and Social Media Data Analytics of Housing Prices in Shenzhen, China , 2016, PloS one.
[97] Salman Qureshi,et al. Advancing Urban Ecology toward a Science of Cities , 2016 .
[98] Ken R. Smith,et al. Leveraging geotagged Twitter data to examine neighborhood happiness, diet, and physical activity. , 2016, Applied geography.
[99] G. Hoogendoorn,et al. Instagrammers, Urban Renewal and the Johannesburg Inner City , 2016 .
[100] Gareth W. Peters,et al. Participatory Sensing Data Tweets for Micro-Urban Real-Time Resiliency Monitoring and Risk Management , 2016, IEEE Access.
[101] Martin Clarke,et al. From Big Noise to Big Data: Toward the Verification of Large Data sets for Understanding Regional Retail Flows , 2016 .
[102] J. S. Verkade,et al. Probabilistic flood extent estimates from social media flood observations , 2016 .
[103] Megan L Ranney,et al. Tweet Now, See You In the ED Later? Examining the Association Between Alcohol-related Tweets and Emergency Care Visits. , 2016, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.
[104] Michael Gamon,et al. Online and Social Media Data As an Imperfect Continuous Panel Survey , 2016, PloS one.
[105] Spencer A Wood,et al. Measuring recreational visitation at U.S. National Parks with crowd-sourced photographs. , 2016, Journal of environmental management.
[106] Steff C Lewis,et al. Gabapentin for the Management of Chronic Pelvic Pain in Women (GaPP1): A Pilot Randomised Controlled Trial , 2016, PloS one.
[107] J. C. Liu,et al. Who speaks for climate change in China? Evidence from Weibo , 2017, Climatic Change.
[108] T. Ricketts,et al. Spatial and Temporal Dynamics and Value of Nature-Based Recreation, Estimated via Social Media , 2016, PloS one.
[109] Zhenlong Li,et al. Big Data and cloud computing: innovation opportunities and challenges , 2017, Int. J. Digit. Earth.
[110] Stephen Jarvis,et al. Predicting floods with Flickr tags , 2017, PloS one.
[111] Teodora Sandra Buda,et al. RCMC: Recognizing Crowd-Mobility Patterns in Cities Based on Location Based Social Networks Data , 2017, ACM Trans. Intell. Syst. Technol..
[112] Isabelle Durance,et al. The challenge of valuing ecosystem services that have no material benefits , 2017 .
[113] B. Perera,et al. Green infrastructure practices for improvement of urban air quality , 2017 .
[114] Pablo Martí,et al. Using locative social media and urban cartographies to identify and locate successful urban plazas , 2017 .
[115] H. Roberts. Using Twitter data in urban green space research: A case study and critical evaluation , 2017 .
[116] Gisele L. Pappa,et al. Strategies for combining Twitter users geo-location methods , 2018, GeoInformatica.
[117] Diana Reckien,et al. Utilising volunteered geographic information to assess resident's flood evacuation shelters. Case study: Jakarta , 2017 .
[118] Michael Jendryke,et al. Putting people in the picture: Combining big location-based social media data and remote sensing imagery for enhanced contextual urban information in Shanghai , 2017, Comput. Environ. Urban Syst..
[119] Mingshu Wang,et al. From stay to play – A travel planning tool based on crowdsourcing user-generated contents , 2017 .
[120] Nigel Waters,et al. Using Social Media and Satellite Data for Damage Assessment in Urban Areas During Emergencies , 2017 .
[121] Declan O'Sullivan,et al. RCMC: Recognizing Crowd-Mobility Patterns in Cities Based on Location Based Social Networks Data , 2017, TIST.
[122] Dirk Neumann,et al. Social media analytics and value creation in urban smart tourism ecosystems , 2017, Inf. Manag..
[123] M. Acuto. Global science for city policy , 2018, Science.
[124] Karen C. Seto,et al. Locking in positive climate responses in cities , 2018, Nature Climate Change.
[125] David Fisher,et al. Geolocated social media as a rapid indicator of park visitation and equitable park access , 2018, Comput. Environ. Urban Syst..
[126] Zoé A. Hamstead,et al. Using social media to understand drivers of urban park visitation in the Twin Cities, MN , 2018, Landscape and Urban Planning.
[127] Ciara,et al. Seeds of the Future in the Present: Exploring Pathways for Navigating Towards “Good” Anthropocenes , 2018 .
[128] K. Seto,et al. Building a global urban science , 2018, Nature Sustainability.