2019
DOI: 10.1016/j.culher.2018.10.002
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Mapping historic urban landscape values through social media

Abstract: Social media provides big data for researchers to perform real-time analytics, as digital ethnographers, on what places and attributes people value in the historic urban landscapes they live or visit, enough to share with their social network. However, the use of these data to further our knowledge on heritage and their values, or to support heritage planning and management is still very limited. This article proposes a methodology for the analysis of viewpoints locationview scenes-tags data for photos posted … Show more

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Cited by 91 publications
(84 citation statements)
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“…In the last two decades, remote sensing technologies, ground and aerial technologies, and GIS-based models have successfully been applied to several cultural heritage applications, and they have been considered as ideal tools for analyzing spatial data for the management of knowledge on cultural heritage and for supporting decision-making(Rinaudo, Agosto, and Ardissone 2007;Robinson et al 2010;Agapiou et al 2015). Moreover, in recent years, crowdsourcing and social media metadata have been recognized by many cultural heritage institutions and scholars as tools for participatory heritage praxis that would allow a variety of encounters and a cross-dialogue between different stakeholders, as they provide community-based platform for communicating users' interaction with cultural heritage(Terras 2011;Giaccardi 2012;Ole and Smith 2012;Liew 2014;Ginzarly, Pereira Roders, and Teller Forthcoming).There is an agreement among scholars in the corpus about the four pillars of sustainable development: environmental, economic, social, and cultural sustainability. Nevertheless, sustainability is used by most scholars as a concept.…”
mentioning
confidence: 99%
“…In the last two decades, remote sensing technologies, ground and aerial technologies, and GIS-based models have successfully been applied to several cultural heritage applications, and they have been considered as ideal tools for analyzing spatial data for the management of knowledge on cultural heritage and for supporting decision-making(Rinaudo, Agosto, and Ardissone 2007;Robinson et al 2010;Agapiou et al 2015). Moreover, in recent years, crowdsourcing and social media metadata have been recognized by many cultural heritage institutions and scholars as tools for participatory heritage praxis that would allow a variety of encounters and a cross-dialogue between different stakeholders, as they provide community-based platform for communicating users' interaction with cultural heritage(Terras 2011;Giaccardi 2012;Ole and Smith 2012;Liew 2014;Ginzarly, Pereira Roders, and Teller Forthcoming).There is an agreement among scholars in the corpus about the four pillars of sustainable development: environmental, economic, social, and cultural sustainability. Nevertheless, sustainability is used by most scholars as a concept.…”
mentioning
confidence: 99%
“…Noordegraaf et al (2014) compare and evaluate crowdsourcing platforms developed by heritage institutions. Ginzarly et al (2018) analyse photos on Flickr to identify the way in which users (residents and tourists) perceive heritage at the city scale. These methods have the advantage of offering relevant approaches, criteria and indicators.…”
Section: State Of the Artmentioning
confidence: 99%
“…These methods have the advantage of offering relevant approaches, criteria and indicators. However, they are focused on types of tools that are more specific than those we want to analyse: participatory urban planning (Alatalo et al 2017;Münster et al 2017), web-mapping (Farkas 2017), crowdsourcing (Carletti et al 2013;Noordegraaf et al 2014), digital tools for citizen heritage (Lewi et al 2016), 3D reconstitution (Münster et al 2016) and urban landscapes (Ginzarly et al 2018). Moreover, these methods often stem from the questioning of a single discipline, whereas, following the recommendations of Münster et al (2016), a multidisciplinary approach is needed in order to offer a more comprehensive analysis.…”
Section: State Of the Artmentioning
confidence: 99%
“…Although similar methods are attracting interest in the wider field of the digital humanities, of which archaeology is undoubtedly a part, only a 'select few researchers are in a position to truly reap the benefits of big social data analysis' (Zelenkauskaite & Bucy 2016). A handful of scholars working in the field of heritage and archaeology have made forays into the use of these computational techniques, and a number of empirical papers have been published (for example: Altaweel 2019; Bonacchi, Altaweel & Krzyzanska 2018;Cunliffe & Curini 2018;Ginzarly, Roders & Teller 2019;Greenland et al 2019;Huffer & Graham 2017;Huffer & Graham 2018;Oteros-Rozas et al 2018;Zuanni 2017).…”
Section: Introductionmentioning
confidence: 99%