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Twitter jako źródło informacji geograficznej

Data publikacji: 02.09.2015

Prace Geograficzne, 2015, Zeszyt 141, s. 7 - 24

https://doi.org/10.4467/20833113PG.15.006.4058

Autorzy

Łukasz Beluch
Instytut Geografii i Gospodarki Przestrzennej, Uniwersytet Jagielloński
, Polska
Wszystkie publikacje autora →

Tytuły

Twitter jako źródło informacji geograficznej

Abstrakt

The Twitter as a source of geographic information

In recent years, social media has gained significant popularity. The popularization of portable devices has produced a significant number of posts on social media along with a geolocation. Twitter is especially interesting. Thanks to an open Application Programming Interface ( API ), it ensures free access to published content. Data obtained this way gives new possibilities for social and geographic research. The research literature emphasizes the usefulness of Twitter for the purpose of the monitoring of extreme phenomena. This paper presents the main trends in research on Twitter tweets and technical solutions enabling data downloading.

Bibliografia

Alexander D., 2014, Social Media in Disaster Risk Reduction and Crisis Management, Science and engineering ethic, 20 ( 3 ), 717 – 733.

Anderson C., 2008, The end of theory: The data deluge makes the scientific method obsolete, Wired, Mag. 15 ( 7 ).

Caragea C., Squicciarini A., Stehle S., Neppalli K., Tapia A., 2014, Mapping Moods: Geo-Mapped Sentiment Analysis During Hurricane Sandy, [w:] S.R. Hiltz, M.S. Pfaff, L. Plotnick, A.C. Robinson (red.), Proceedings of the 11th International ISCRAM Conference – University Park, Pennsylvania, http://www.wired.com/2008/06/pb-theory/ (30.06.2015).

Chae J., Thom D., Jang Y., Kim S., Ertl T., Ebert D., 2014, Public behavior response analysis in disaster events utilizing visual analytics of microblog data, Computer & Graphic, 38, 51 – 60.

Cheong F., Cheong C., 2011, Social media data mining: A social network analysis of tweets during the 2010 – 2011 Australian floods, PACIS 2011 Proceedings, 6 – 46.

Christensen C., 2011, Twitter revolutions? Addressing social media and dissent, The Communication Review, 14, 155 – 57.

Crampton J., Graham M., Poorhuis A., Shelton T., Stephens M., Wilson M., 2013, Beyound the geotag: Situating ‘big data’ and leveraging the potential of the geoweb, Cartography and Geographic Information Science, 40 ( 2 ), 130 – 139.

Crooks A., Croitoru A., Stefanidis A., Radzikowski J., 2013, #Earthquake: Twitter as a Distributed Sensor System, Transactions in GIS, 17 ( 1 ), 124 – 147.

de Longueville B., Annoni A., Schade S., Ostlaender N., Whitmore C., 2010, Digital Earth’s Nervous System for crisis events: Real-time Sensor Web Enablement of Volunteered Geographic Information, International Journal of Digital Earth, 3 ( 3 ), 242 – 259.

Dorsey J., 2006, Just setting up my twttr, https://twitter.com/jack/status/20 ( 15.01.2015 ).

Frias-Martinez V., Soto V., Hohwald H., Frias-Martinez E., 2012, Characterizing Urban Landscapes Rusing Geolocated Tweets, [w:] Proceedings, 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust, 239 – 248.

Goldstein H., 2010, Engineers Race to Restore Communications after Haiti Quake, IEEE Spectrum, http://spectrum.ieee.org/tech-talk/telecom/internet/engineers-race-to-restorecommunications-after-haiti-quake ( 20.10.2014 ).

Goodchild M.F., 2007, Citizens as sensors: The world of volunteered geography, GeoJournal, 69 ( 4 ), 211 – 221.

Hawełka B., Sitko I., Beinat E., Sobolevsky S., Kazakopoulos P., 2013, Geo-located twitter as a proxy for global mobility patterns, Cartography and Geographic Information Science, 41 ( 3 ), 260 – 271.

Hey T., Tansley S., Tolle K., 2009, The Fourth Paradigm: Data-Intensive Scientific Discovery, Microsoft Research, Redmonton, Washington, http://research.microsoft.com/en-us/collaboration/fourthparadigm/4th_paradigm_book_complete_lr.pdf ( 13.11.2014 ).

Hyvärinen O., Saltikoff E., 2010, Social Media as a Source of Meteorological Observations, Monthly Weather Review, 138 ( 8 ), 3175 – 3184.

Jessop B., Brenner N., Jones M., 2008, Theorizing sociospatial relations, Environment and Planning D: Society and Space, 26 ( 3 ), 389 – 401.

Kaplan A., 2012, If you love something, let it go mobile: Mobile marketing and mobile social media 4x4, Business Horizons, 55, 129 – 139.

Kitchin R., 2013, Big data and human geography: Opportunities, challenges and risks, Dialogues in Human Geography, 3 ( 3 ), 262 – 267.

Lenormand M., Picornell M., Garcia Cant’u O., Tugores A., Louail T., 2014, Cross-checking different source of mobility information, PLoS One 2014, 9 ( 8 ), http://dx.doi.org/10.1371%2Fjournal.pone.0105184 ( 16.12.2014 ).

Mandel, B., Culotta, A., Boulahanis, J., Stark, D., Lewis, B., Rodrigue, J., 2012, A demographic analysis of online sentiment during hurricane Irene, [w:] LSM‚ 12 Proceedings of the Second Workshop on Language in Social Media.

Megapanel PBI/Genius, 2014, http://www.panel.pbi.org.pl/megapanel.php ( 3.06.2014 ). 

Meier P., Castillo C., Imran M., Elbassuoni S.M., Diaz F., 2013, Extracting information nuggets from disaster-related messages in social media, [w:] T. Comes, F. Fiedrich, S. Fortier, J. Geldermann, L. Yang (red.), Proceedings of the 10th International ISCRAM Conference – Baden-Baden, Germany, May 2013, 1 – 10.

Morstatter F., Pfeffer J., Liu H., Kathleen M., Carley M., 2013, Is the Sample Good Enough? Comparing Data from Twitter’s Streaming API with Twitter’s Firehose, Proceedings of ICWSM, http://arxiv.org/abs/1306.5204 ( 5.02.2015 ).

Newsweek, 2009, A Twitter Timeline of the Iran Election, http://www.newsweek.com/twitter-timeline-iran-election-80867 ( 21.01.2015 ).

O’Reilly T., Battelle J., 2009, Web Squared: Web 2.0 Five Years On, O’Reilly Media, Inc. Sagl G., Resch B., Hawelka B., Beinat E., 2012, From Social Sensor Data to Collective Human Behaviour Patterns: Analysing and Visualising Spatio-Temporal Dynamics in Urban Environments, [w:] Proceedings of the GI-Forum 2012: Geovisualization, Society and Learning, 54–63.

Schade S., Díaz L., Ostermann F., Spinsanti L., Luraschi G., Cox S., Nuñez M., 2011, Citizen-based sensing of crisis events: Sensor web enablement for volunteered geographic information Applied Geomatics, 5 ( 1 ), 3 – 18.

Schade S., Ostermann F., Spinsanti L., Kuhn W., 2012, Semantic Observation Integration, Future Internet, 4, 807 – 829.

Shelton T., Poorthuis A., Graham M., Zook M., 2014, Mapping the data shadows of Hurricane Sandy: Uncovering the sociospatial dimensions of ‘big data’, Geoforum, 52, 167 – 179.

Sui D., Goodchild M., 2011, The convergence of GIS and social media: Challenges for GIScience, International Journal of Geographical Information Science, 25 ( 11 ), 1737 – 1748.

Zafarani R., Ali Abbasi M., Liu H., 2014, Social Media Mining – An Introduction, Cambridge University Press, Cambridge.

Zook M., Graham M., Shelton T., Gorman S., 2010, Volunteered geographic information and crowdsourcing disaster relief: A case study of the Haitian earthquake, World Medical & Health Policy, 2 ( 2 ), 7 – 33.

Informacje

Informacje: Prace Geograficzne, 2015, Zeszyt 141, s. 7 - 24

Typ artykułu: Oryginalny artykuł naukowy

Tytuły:

Polski:

Twitter jako źródło informacji geograficznej

Angielski:

The Twitter as a source of geographic information

Autorzy

Instytut Geografii i Gospodarki Przestrzennej, Uniwersytet Jagielloński
Polska

Publikacja: 02.09.2015

Status artykułu: Otwarte __T_UNLOCK

Licencja: Żadna

Udział procentowy autorów:

Łukasz Beluch (Autor) - 100%

Korekty artykułu:

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Języki publikacji:

Polski

Liczba wyświetleń: 2450

Liczba pobrań: 1114

<p> Twitter jako źródło informacji geograficznej</p>