{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T21:40:25Z","timestamp":1760218825069,"version":"build-2065373602"},"reference-count":58,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2014,5,27]],"date-time":"2014-05-27T00:00:00Z","timestamp":1401148800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Future Internet"],"abstract":"<jats:p>Tweet My Street is a cross-disciplinary project exploring the extent to which data derived from Twitter can reveal more about spatial and temporal behaviours and the meanings attached to these locally. This is done with a longer-term view to supporting the coproduction and delivery of local services, complaint mechanisms and horizontal community support networks. The project has involved the development of a web-based software application capable of retrieving, storing and visualising geo-located \u201ctweets\u201d (and associated digital content) from Twitter\u2019s Firehose. This has been piloted in Newcastle upon Tyne (UK) and has proven a scalable tool that can aid the analysis of social media data geographically. Beyond explaining efforts to analyse pilot data via this software, this paper elucidates three methodological challenges encountered during early collaboration. These include issues relating to \u201cproximity\u201d with subjects, ethics and critical questions about scholars\u2019 digital responsibilities during the neogeographic turn.<\/jats:p>","DOI":"10.3390\/fi6020378","type":"journal-article","created":{"date-parts":[[2014,5,27]],"date-time":"2014-05-27T11:34:30Z","timestamp":1401190470000},"page":"378-396","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Tweet My Street: A Cross-Disciplinary Collaboration  for the Analysis of Local Twitter Data"],"prefix":"10.3390","volume":"6","author":[{"given":"Graeme","family":"Mearns","sequence":"first","affiliation":[{"name":"School of Geography, Politics and Sociology, Newcastle University, Newcastle Upon Tyne NE1 7RU, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rebecca","family":"Simmonds","sequence":"additional","affiliation":[{"name":"School of Computing Science, Newcastle University, Newcastle Upon Tyne NE1 7RU, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ranald","family":"Richardson","sequence":"additional","affiliation":[{"name":"School of Geography, Politics and Sociology, Newcastle University, Newcastle Upon Tyne NE1 7RU, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mark","family":"Turner","sequence":"additional","affiliation":[{"name":"School of Computing Science, Newcastle University, Newcastle Upon Tyne NE1 7RU, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paul","family":"Watson","sequence":"additional","affiliation":[{"name":"School of Computing Science, Newcastle University, Newcastle Upon Tyne NE1 7RU, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paolo","family":"Missier","sequence":"additional","affiliation":[{"name":"School of Computing Science, Newcastle University, Newcastle Upon Tyne NE1 7RU, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2014,5,27]]},"reference":[{"unstructured":"Cox, M., and Ellsworth, D. (,  1997). Mapping big data for scientific visualisation. Proceedings of the ACM SIGGRAPH \u201997 Course #4, Exploring Gigabyte Datasets in Real-Time: Algorithms, Data Management and Time-Critical Design, Los Angeles, CA, USA.","key":"ref_1"},{"unstructured":"Bollier, D. (2010). The Promise and Peril of Big Data, The Aspen Institute.","key":"ref_2"},{"unstructured":"Tsukayama, H. Twitter turns 7: Users send over 400 million Tweets per day. Available online:http:\/\/www.washingtonpost.com\/business\/technology\/twitter-turns-7-users-send-over-400-million-tweets-per-day\/2013\/03\/21\/2925ef60-9222-11e2-bdea-e32ad90da239_story.html.","key":"ref_3"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1109\/MIC.2013.10","article-title":"Finding the needle in the big data systems haystack","volume":"17","author":"Kraska","year":"2013","journal-title":"IEEE Int. Comput."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1068\/a44483","article-title":"Neogeography and volunteered geographic information: A conversation with Michael Goodchild and Andrew Turner","volume":"41","author":"Wilson","year":"2013","journal-title":"Environ. Plan. A"},{"unstructured":"Ushahidi Inc.. Available online:http:\/\/www.ushahidi.com.","key":"ref_6"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"2483","DOI":"10.1080\/13658816.2013.825724","article-title":"Geosocial gauge: A system prototype for knowledge discovery from social media","volume":"27","author":"Croitoru","year":"2013","journal-title":"Int. J. Geogr. Inf. Sci."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1111\/j.1541-0064.1963.tb00796.x","article-title":"The quantitative revolution and theoretical geography","volume":"4","author":"Burton","year":"1963","journal-title":"Can. Geogr."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1111\/j.1467-8306.1976.tb01090.x","article-title":"Grasping the dynamism of lifeworld","volume":"66","author":"Buttimer","year":"1976","journal-title":"Ann. Assoc. Am. Geogr."},{"unstructured":"Kohut, A. Social networking popular across the globe. Available online:http:\/\/www.pewglobal.org\/2012\/12\/12\/social-networking-popular-across-globe\/.","key":"ref_10"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1068\/a45349","article-title":"Mapping the geoweb: A geography of Twitter","volume":"45","author":"Graham","year":"2013","journal-title":"Environ. Plan. A"},{"unstructured":"Obler, A., Welsh, K., and Cruz, L. The danger of big data: Social media as computational social science. Available online:http:\/\/firstmonday.org\/ojs\/index.php\/fm\/article\/view\/3993\/3269.","key":"ref_12"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"662","DOI":"10.1080\/1369118X.2012.678878","article-title":"Critical questions for big data","volume":"15","author":"boyd","year":"2012","journal-title":"Infor. Commun. Soc."},{"unstructured":"Anderson, C. The end of theory: The data deluge makes the scientific method obsolete. Available online:http:\/\/archive.wired.com\/science\/discoveries\/magazine\/16-07\/pb_theory.","key":"ref_14"},{"unstructured":"Qualman, E. (2013). Socialnomics: How Social Media Transforms the Way We Live and Do Business, John Wiley and Sons. [2nd ed.].","key":"ref_15"},{"unstructured":"Galagan, P. Amplified and Connected. Available online:http:\/\/www.astd.org\/publications\/magazines\/TD\/TD-Archive\/2012\/12\/Amplified-and-connected.","key":"ref_16"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"559","DOI":"10.2501\/S1470785309200773","article-title":"Conference notes\u2014The social media revolution","volume":"51","author":"Smith","year":"2009","journal-title":"Int. J. Mark. Res."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1814","DOI":"10.1126\/science.333.6051.1814","article-title":"Social scientists wade into the tweet stream","volume":"333","author":"Miller","year":"2011","journal-title":"Science"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"850","DOI":"10.1080\/1369118X.2011.587882","article-title":"Trust, confidence and credibility","volume":"14","author":"Ampofo","year":"2011","journal-title":"Infor. Commun. Soc."},{"key":"ref_20","first-page":"63","article-title":"Social networks, media and audiences: A literature review","volume":"24","author":"Sanchez","year":"2011","journal-title":"Commun. Soc."},{"doi-asserted-by":"crossref","unstructured":"Tinati, R., Carr, L., Hall, W., and Street, V. (2012, January 16\u201320). Identifying communicator roles in Twitter. Proceedings of the 21st International Conference Companion on the World Wide Web, Lyon, France.","key":"ref_21","DOI":"10.1145\/2187980.2188256"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"872","DOI":"10.1080\/1369118X.2011.554572","article-title":"What the hashtag?","volume":"14","author":"Small","year":"2011","journal-title":"Infor. Commun. Soc."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1145\/2168931.2168943","article-title":"Interactions with big data analytics","volume":"19","author":"Fisher","year":"2012","journal-title":"Interactions"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1068\/a44482","article-title":"Situating neogeography","volume":"45","author":"Wilson","year":"2013","journal-title":"Environ. Plan. A"},{"doi-asserted-by":"crossref","unstructured":"Rainie, L., and Wellman, B. (2012). Networked: The New Social Operating System, MIT Press.","key":"ref_25","DOI":"10.7551\/mitpress\/8358.001.0001"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1111\/j.1467-8306.2005.00454.x","article-title":"Code and the transduction of space","volume":"95","author":"Dodge","year":"2005","journal-title":"Ann. Assoc. Am. Geogr."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1323","DOI":"10.1080\/1369118X.2011.635214","article-title":"How long is a tweet? Mapping dynamic conversation networks on Twitter using Gawk and Gephi","volume":"15","author":"Bruns","year":"2012","journal-title":"Infor. Commun. Soc."},{"doi-asserted-by":"crossref","unstructured":"Mathioudakis, M., and Koudas, N. (2010, January 06\u201311). TwitterMonitor: Trend detection over the Twitter stream. Proceedings of the ACM SIGMOD International Conference on Management of Data, Indianapolis, IN, USA.","key":"ref_28","DOI":"10.1145\/1807167.1807306"},{"unstructured":"Datasift. Available online:http:\/\/www.datasift.com.","key":"ref_29"},{"unstructured":"nTweetStreamer. Available online:https:\/\/github.com\/Ireisme\/nTweetstreamer.","key":"ref_30"},{"unstructured":"Twitter4J. Available online:http:\/\/twitter4j.org.","key":"ref_31"},{"key":"ref_32","first-page":"1391","article-title":"Analytics for the real-time web","volume":"4","author":"Grinev","year":"2011","journal-title":"System"},{"unstructured":"Meeder, B., Karrer, B., Borgs, C., Ravi, R., and Chayes, I. (April, January 28). We know who you followed last summer: Inferring social link creation times in Twitter. Proceedings of the 20th International Conference on the World Wide Web, Hyderabad, India.","key":"ref_33"},{"unstructured":"Burnap, P., Rana, O.F., Avis, N., Williams, M., Housley, W., Edwards, A., Morgan, J., and Sloan, L. (2013). Detecting tension in online communities with computational Twitter analysis. Technol. Forecas. Soc. Change.","key":"ref_34"},{"unstructured":"MacEachren, A.M., Robinson, A.C., Jaiswal, A., Pezanowski, S., Savelyev, A., Blandford, J., and Mitra, P. (2011, January 3\u20138). Geo-Twitter analytics: Applications in crisis management. Proceedings of the 25th International Cartographic Conference, Paris, France.","key":"ref_35"},{"doi-asserted-by":"crossref","unstructured":"MacEachren, A.M., Jaiswal, A., Robinson, A.C., Pezanowski, S., Savelyev, A., Mitra, P., Zhang, Z., and Blanford, J. (2011, January 23\u201328). SensePlace2: GeoTwitter analytics support for situational awareness. Proceedings of the IEEE Conference on Visual Analytics Science and Technology, Providence, RI, USA.","key":"ref_36","DOI":"10.1109\/VAST.2011.6102456"},{"doi-asserted-by":"crossref","unstructured":"Karimi, H. (2014). Geoinformatics and Social Media: A New Big Data Challenge, CRC Press.","key":"ref_37","DOI":"10.1201\/b16524"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1080\/15230406.2013.776211","article-title":"Demarcating new boundaries: Mapping virtual polycentric communities through social media content","volume":"40","author":"Stefanidis","year":"2013","journal-title":"Cartogr. Geogr. Infor. Sci."},{"unstructured":"Duggan, M., and Smith, A. Social media update (December 30). Available online:http:\/\/www.pewinternet.org.","key":"ref_39"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1016\/0022-1031(77)90049-X","article-title":"The false consensus effect. An egocentric bias in social perception and attribution processes","volume":"13","author":"Ross","year":"1977","journal-title":"J. Exp. Soc. Psychol."},{"unstructured":"Hector. Available online:http:\/\/hector-client.github.io.","key":"ref_41"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1007\/s00778-004-0147-z","article-title":"The CQL continuous query language: Semantic foundation and query execution","volume":"15","author":"Arasu","year":"2006","journal-title":"Int. J. Very Large Databases"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1080\/15230406.2013.777137","article-title":"Beyond the geotag: Situating \u201cbig data\u201d and leveraging the potential of the geoweb","volume":"40","author":"Crampton","year":"2013","journal-title":"Cartogr. Geogr. Infor. Sci."},{"unstructured":"Leetaru, K.H., Wang, S., Can, G., Padmanabhan, A., and Shook, E. Mapping the global Twitter heartbeat: The geography of Twitter. Available online:http:\/\/www.firstmonday.org.","key":"ref_44"},{"unstructured":"Global Twitter Heartbeats. Available online:http:\/\/www.sgi.com\/go\/twitter.","key":"ref_45"},{"doi-asserted-by":"crossref","unstructured":"Li, R., Lei, K.H., Khadlwala, R., and Chang, K, C-C. (2012, January 1\u20135). TEDAS: A Twitter-based event detection and analysis system. Proceedings of the 28th IEEE International Conference on Data Engineering, Washington, DC, USA.","key":"ref_46","DOI":"10.1109\/ICDE.2012.125"},{"unstructured":"Weil, K. (March, January 28). Rainbird: Real-time analytics @Twitter. Proceedings of 2011 O\u2019Reilly Strata Conference: Making Data Work, Santa Clara, CA, USA.","key":"ref_47"},{"unstructured":"Hausenblas, M. Twitter open-sources its MapReduce streaming framework Summingbird. Available online:http:\/\/www.infoq.com\/news\/2014\/01\/twitter-summingbird.","key":"ref_48"},{"doi-asserted-by":"crossref","unstructured":"McCreadie, R., MacDonald, C., Qunis, I., Osborne, M., and Petrovic, S. (2013, January 6\u20139). Scalable distributed event detection for Twitter. Proceedings of the IEEE International Conference on Big Data, Santa Clara, CA, USA.","key":"ref_49","DOI":"10.1109\/BigData.2013.6691620"},{"key":"ref_50","first-page":"173","article-title":"Safety, fear and belonging: The everyday realities of civic identity formation in Fenham, Newcastle upon Tyne","volume":"7","author":"Alexander","year":"2008","journal-title":"ACME"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"1737","DOI":"10.1080\/13658816.2011.604636","article-title":"The convergence of GIS and social media: Challenges for GIScience","volume":"25","author":"Sui","year":"2011","journal-title":"Int. J. Geogr. Infor. Sci."},{"unstructured":"Wu, S., Hofman, J.M., Watts, D.J., and Mason, W.A. (April, January 28th). Who says what to whom on Twitter?. Proceedings of the International World Wide Web Conference, Hyderabad, India.","key":"ref_52"},{"unstructured":"Pak, A., and Paeoubek, P. (2010, January 19\u201321). Twitter as a corpus for sentiment analysis and opinion mining. Proceedings of the 7th Conference on International Language Resources and Evaluation, Valletta, Malta.","key":"ref_53"},{"unstructured":"Tashakkori, A., and Charles, T. (1998). Mixed Methodology: Combining Qualitative and Quantitative Approaches, Sage.","key":"ref_54"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"1360","DOI":"10.1086\/225469","article-title":"The strength of weak ties","volume":"78","author":"Granovetter","year":"1973","journal-title":"Am. J. Soc."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"608","DOI":"10.1016\/j.futures.2012.03.011","article-title":"A masterclass in interdisciplinarity: Research into practice in training the next generation of interdisciplinary researchers","volume":"44","author":"Lyall","year":"2012","journal-title":"Futures"},{"unstructured":"Williford, C., and Henry, C. One culture: Computationally intensive research in the humanities and social sciences. Available online:http:\/\/www.clir.org\/pubs\/reports\/pub151.","key":"ref_57"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1109\/2.241424","article-title":"Iterative user-interface design","volume":"26","author":"Nielsen","year":"1993","journal-title":"Computer"}],"container-title":["Future Internet"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1999-5903\/6\/2\/378\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T21:11:51Z","timestamp":1760217111000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1999-5903\/6\/2\/378"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,5,27]]},"references-count":58,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2014,6]]}},"alternative-id":["fi6020378"],"URL":"https:\/\/doi.org\/10.3390\/fi6020378","relation":{},"ISSN":["1999-5903"],"issn-type":[{"type":"electronic","value":"1999-5903"}],"subject":[],"published":{"date-parts":[[2014,5,27]]}}}