The social construction of the image of a city through Instagram: The case of Granada
DOI:
https://doi.org/10.3145/epi.2019.ene.08Keywords:
Social media, Social networks, Visualization, Data visualization, Geographic information, Geolocation, Visual culture, Image, Photography, Cities, Urban, Digitization, Instagram.Abstract
Our digital world is increasingly visual. Mobile applications focused on digital photography such as Instagram are vehicles for the creation, manipulation and instant diffusion of images. Instagram is therefore an open window to research in Social Sciences and Digital Humanities, and an opportunity to investigate how young users of this application develop visual culture in their local environments through global visual languages. The present work analyzes the production of Instagram in Granada from a sample of 955.564 publications and 375.758 images published and geolocated over a year (between April 2017 and April 2018), with the aim of showing how the image of a city is socially constructed. The geographical, social network, and content analysis of the study sample has allowed to establish which are the main focal points of visual attraction of the city, as well as the most active neighborhoods and districts; the most relevant members of a user network that is self-constructed in a heterogeneous and open manner, with strong intermediary nodes of an "instagramist" style that connect subcommunities; as well as the widespread use of the application both for business promotion and for the development of individual creativity. All this indicates how the Instagram publications in Granada make visible the importance and incidence of tourism in the city.
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References
Anderson, Monica; Jiang, Jingjing (2018). Teens, social media & technology 2018. Pew Research Center. http://assets.pewresearch.org/wp-content/uploads/sites/14/2018/05/31102617/PI_2018.05.31_TeensTech_FINAL.pdf
Boy, John D.; Uitermark, Justus (2016). "How to study the city on Instagram". PLoS one, v. 11, n. 6. https://doi.org/10.1371/journal.pone.0158161
Boy, John D.; Uitermark, Justus (2017). "Reassembling the city through Instagram". Transactions of the Institute of British Geographers, v. 42, n. 4, pp. 617-624. https://doi.org/10.1111/tran.12185
Boyd, Danah (2010). "Social network sites as networked publics: Affordances, dynamics, and implications". In: Papacharissi, Zizi (ed.). A networked self: Identify, community, and culture on social network sites. Routledge, pp. 47-66. ISBN: 978 0 415801812 https://www.danah.org/papers/2010/SNSasNetworkedPublics.pdf
Champion, Charlotte (2012). "Instagram: Je-suis-là?". Philosophy of photography, v. 3, n. 1, pp. 83-88. https://doi.org/10.1386/pop.3.1.83_7
Fontcuberta, Joan (2011). "Por un manifiesto posfotográfico". Suplemento cultural de La Vanguardia. http://www.lavanguardia.com/cultura/20110511/54152218372/por-un-manifiesto-posfotografico.html
Gephi Consortium (2018). Gephi. https://gephi.org
Giridhar, Prasanna; Abdelzaher, Tarek (2017). "Visualization of events using Twitter and Instagram". In: 2017 IEEE Intl conf on pervasive computing and communications workshops (PerCom workshops), 13-17 March, pp. 82-84. https://doi.org/10.1109/PERCOMW.2017.7917530
Google (2016). "La revolución del vídeo en la era del contenido audiovisual". Think with Google, mayo. http://bit.ly/2Isl6mI
Gruzd, Anatoliy (2016). Netlytic: Software for automated text and social network analysis. https://netlytic.org
Hochman, Nadav; Manovich, Lev (2013). "Zooming into an Instagram city: Reading the local through social media". First Monday, v. 18, n. 7. https://doi.org/10.5210/fm.v18i7.4711
Hochman, Nadav; Schwartz, Raz (2012). "Visualizing Instagram: Tracing cultural visual rhythms". In: Procs of the Workshop on social media visualization (SocMedVis) in conjunction with the Sixth intl AAAI conf on weblogs and social media (ICWSM-12) (pp. 6-9). http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.851.377&rep=rep1&type=pdf
Honig, Christopher D. F.; MacDowall, Lachlan (2017). "Spatio-temporal mapping of street art using Instagram". First Monday, v. 22, n. 3. https://doi.org/10.5210/fm.v22i3.7072
Huang, Cheng-Chia (2017). Developing a data mining framework to identify a sense of gentrification through social media data: A case study using Instagram posts in Salt Lake City, Utah. Thesis presented to the Faculty of San Diego State University. Ann Arbor, United States. https://search.proquest.com/docview/1987947655/abstract/68F7D62F1CCB4318PQ/1
Indaco, Agustin; Manovich, Lev (2016). "Urban social media inequality: definition, measurements, and application". arXiv preprint arXiv:1607.01845. https://arxiv.org/abs/1607.01845
INE (2017). Encuesta sobre equipamiento y uso de tecnologías de información y comunicación en los hogares 2017. https://www.ine.es/prensa/tich_2017.pdf
Instagram Press (2017). Our story. https://instagram-press.com/our-story
Jenkins, Henry (2008). Convergence culture. La cultura de la convergencia de los medios de comunicación. Barcelona: Paidós. ISBN: 978 84 493 2153 5 https://stbngtrrz.files.wordpress.com/2012/10/jenkins-henry-convergence-culture.pdf
Laestadius, Linnea (2017). "Instagram". In: Sloan, Luke; Quan-Haase, Anabel (eds.). The SAGE handbook of social media mesearch methods. SAGE, pp. 573-592. ISBN: 978 1 4739 1632 6
Lazzarini, Luca; López-Baeza, Jesús (2017). "La strada dei funghi: studiare la percezione delle trasformazioni urbane attraverso Instagram". Urbanistica, n. 157, pp. 50-54. https://bit.ly/2AggoW6
Li, Xutao; Pham, Tuan-Anh-Nguyen; Cong, Gao; Yuan, Quan; Li, Xiao-Li; Krishnaswamy, Shonali (2015). "Where you Instagram?: Associating your Instagram photos with points of interest". In: Proceedings of the 24th ACM Intl on conf on information and knowledge management. New York, NY, USA: ACM, pp. 1231-1240. ISBN: 978 1 4503 3794 6 https://doi.org/10.1145/2806416.2806463
Liu, Shuhua; Jansson, Patrick (2017). City event identification from Instagram data using word embedding and topic. Arcada working papers, n. 7. ISBN: 978 952 5260 85 4 https://www.theseus.fi/bitstream/handle/10024/140582/AWP_7-2017_Liu_Jansson.pdf?sequence=1&isAllowed=y
MacDowall, Lachlan-John; De-Souza, Poppy (2017). ""˜I´d double tap that!!´: street art, graffiti, and Instagram research". Media, culture & society, v. 40, n. 1, pp. 3-22. https://doi.org/10.1177/0163443717703793
Manovich, Lev (2009). "How to follow global digital cultures, or cultural analytics for beginners". In: Becker, Konrad; Stalder, Felix. Deep search: The politics of search beyond Google. Wien: Studien Verlag, pp. 198-211. http://manovich.net/index.php/projects/how-to-follow-global-digital-cultures
Manovich, Lev (2012a). "How to compare one million images?". In: Berry, David M. Understanding digital humanities. London: Palgrave Macmillan, pp. 249-278. ISBN: 978 0 230 29265 9 https://doi.org/10.1057/9780230371934_14
Manovich, Lev (2012b). "Media visualization: Visual techniques for exploring large media collections". Media studies futures, pp. 1-21. https://doi.org/10.1002/9781444361506.wbi
Manovich, Lev (2017). Instagram and contemporary image. http://manovich.net/index.php/projects/instagram-and-contemporary-image
Manovich, Lev; Goddemeyer, Daniel; Stefaner, Moritz; Baur, Dominikus (2015). On Broadway. http://on-broadway.nyc
Manovich, Lev; Stefaner, Moritz; Yazdani, Mehrdad; Baur, Dominikus; Goddemeyer, Daniel; Tifentale, Alise (2014). Selfiecity. http://selfiecity.net
Mirzoeff, Nicholas (2016). Cómo ver el mundo: una nueva introducción a la cultura visual. Madrid: Paidos. ISBN: 978 84 493 3216 6
Mukhina, Ksenia D.; Rakitin, Stepan V.; Visheratin, Alexander A. (2017). "Detection of tourists attraction points using Instagram profiles". Procedia computer science, v. 108, pp. 2378-2382. https://doi.org/10.1016/j.procs.2017.05.131
Pérez-Solà, Cristina; Casas-Roma, Jordi (2016). Análisis de datos de redes sociales. Editorial UOC. ISBN: 978 84 91163664
QGIS Development Team (2018). QGIS Geographic Information System. Open Source Geospatial Foundation Project. https://qgis.org
R Development Core Team (2008). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. http://www.R-project.org
Rodríguez-Domínguez, Daniel; Díaz-Redondo, Rebeca P.; Fernández-Vilas, Ana; Ben-Khalifa, Mohamed (2017). "Sensing the city with Instagram: Clustering geolocated data for outlier detection". Expert systems with applications, v. 78, pp. 319-333. https://doi.org/10.1016/j.eswa.2017.02.018
Rose, Gillian (2016). Visual methodologies: An introduction to researching with visual materials. Sage. ISBN: 978 1 473948907
Rueden, Curtis T.; Schindelin, Johannes; Hiner, Mark C.; DeZonia, Barry E.; Walter, Alison E.; Arena, Ellen T.; Eliceiri, Kevin W. (2017). "ImageJ2: ImageJ for the next generation of scientific image data". BMC Bioinformatics, v. 18, pp. 529-555. https://doi.org/10.1186/s12859-017-1934-z
Schneider, Caroline A.; Rasband, Wayne S.; Eliceiri, Kevin W. (2012). "NIH Image to ImageJ: 25 years of image analysis". Nature methods, v. 9, n. 7, pp. 671-675. https://doi.org/10.1038/nmeth.2089
Shelton, Taylor; Poorthuis, Ate; Zook, Matthew (2015). "Social media and the city: Rethinking urban socio-spatial inequality using user-generated geographic information". Landscape and urban planning, v. 142, pp. 198-211. https://doi.org/10.1016/j.landurbplan.2015.02.020
Software Studies Initiative (2015). Cultural analytics. http://lab.softwarestudies.com/p/overview-slides-and-video-articles-why.html
Sued, Gabriela (2018). "Métodos digitales para el estudio de la fotografía compartida. Una aproximación distante a tres ciudades iberoamericanas en Instagram". Empiria. Revista de metodología de ciencias sociales, n. 40, pp. 15-39. https://doi.org/10.5944/empiria.40.2018.22009
Xia, Chaolun; Schwartz, Raz; Xie, Ke; Krebs, Adam; Langdon, Andrew; Ting, Jeremy; Naaman, Mor (2014). "CityBeat: real-time social media visualization of hyper-local city data". In: Procs of the 23rd Intl conf on world wide web. ACM, pp. 167-170. http://dl.acm.org/citation.cfm?id=2577020
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