The Social Picture

Battiato, Sebastiano; Farinella, Giovanni Maria; Milotta, Filippo Luigi Maria; Ortis, Alessandro; Addesso, Luca; Casella, Antonino; D’Amico, Valeria; Torrisi, Giovanni Luca

doi:10.1145/2911996.2912024

Cited by 12 publications

(7 citation statements)

References 6 publications

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“…Like the example of fire and flood as radical events shown in Section 1, a plenty of activation came as consequences of natural disasters (Fukui and Ohe, 2019;Park et al, 2019;Taecharungroj and Mathayomchan, 2019). However, activated public engagement on social media could also happen after political events (Chaabani et al, 2018;Claster et al, 2010;Monteiro et al, 2014), largescale cultural activities (Amato et al, 2016;Gabrielli et al, 2014;Vassakis et al, 2019;Williams et al, 2017), or even general daily events (Battiato et al, 2016;Campillo-Alhama and Martinez-Sala, 2019;Chianese et al, 2016;Barbagallo et al, 2012), therefore not necessarily negative, nor radical. Among the studies, the majority focused on the regional-or nationallevel voices from either local residents and/or tourists as concerned community, while Monteiro et al (2014) brought together the discussion about events such as the possible delisting of a UNESCO World Heritage property in Australia into the global context, showing the local and global sensitivities regarding World Heritage based on the spatiotemporal evolution of related tweets.…”

Section: Main Findingsmentioning

confidence: 99%

Global Citizens and World Heritage: Social Inclusion of Online Communities in Heritage Planning

Bai

Nourian

Roders

2021

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Social inclusion has grown as an important goal for heritage planning over the past decades. Whilst the document Recommendation on the Historic Urban Landscape called a decade ago for novel tools for civic engagement and knowledge documentation, social media already functions as a platform for online communities to actively get involved in heritage-related activities by sharing their ideas. Especially when radical events occur around heritage properties, either positive or negative, emotions and opinions would spread rapidly across the globe via the internet to reach online communities of interested or concerned citizens. This paper presents a theoretical framework defined to classify social inclusion of online communities in heritage planning processes through differentiating the everyday baseline scenarios from the event-triggered activated ones. A preliminary systematic literature review shows that research integrating and comparing both scenarios is still scarce, and that specific tools and algorithms to handle large datasets are needed to identify the structure of communication networks underpinning the spread of information on social media. This framework is the first step on future research to investigate the different focal attention points, mechanisms, and patterns of social inclusion of online communities in heritage planning, towards transforming it to a more socially inclusive practice.

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Section: Main Findingsmentioning

confidence: 99%

Global Citizens and World Heritage: Social Inclusion of Online Communities in Heritage Planning

Bai

Nourian

Roders

2021

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…By involving people in the task it may serve as a stimulus to pique their interest towards the object in question [28], supported by the easiness to obtain information, and help them feel as an important part of the preservation process [29] [9]. Gamification schemes and dedicated crowdsourcing platforms which enhance user experience and interactivity while collecting important data for preservation and monitoring are likely to be attractive to third parties, and thus helpful for the heritage maintenance task [3] [8]. Frequently, those platforms also include a processing system of variable complexity destined to analyse the gathered data for the desired usages and goals [9] [3].…”

Section: Related Workmentioning

confidence: 99%

“…Gamification schemes and dedicated crowdsourcing platforms which enhance user experience and interactivity while collecting important data for preservation and monitoring are likely to be attractive to third parties, and thus helpful for the heritage maintenance task [3] [8]. Frequently, those platforms also include a processing system of variable complexity destined to analyse the gathered data for the desired usages and goals [9] [3].…”

Section: Related Workmentioning

confidence: 99%

“…Important movements have been formed around this aim, establishing codes and rules on an international level. The progressive digitalisation of society and growing interest in multimedia content has allowed to develop the heritage preservation science [2] [3]. Due to the visual nature of monuments and objects, the multimedia information technology is widely employed.…”

Section: Introductionmentioning

confidence: 99%

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An Adaptive Colour Calibration for Crowdsourced Images in Heritage Preservation Science

2020

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Work partially funded by the project MIPAC-CM (Monitorización por procesado de imagen y ciencia ciudadana para la conservación de materiales del patrimonio cultural-Image processing monitoring and city science for maintenance of cultural heritage materials), project code 2018/NMT-4913, in colaboration with Centro Nacional de Investigaciones Metalúrgicas (CENIM) of the Centro Superior de Investigaciones Científicas (CSIC).

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“…It is a difficult index to measure or predict. Several works aimed to find which features are correlated to image popularity within a social community or group of people with common interests [4]- [6]. Yamasaki et al [7] proposed an algorithm to estimate the social popularity of images uploaded on Flickr by using tags.…”

Section: Introductionmentioning

confidence: 99%

Predicting Social Image Popularity Dynamics at Time Zero

2019

Self Cite

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This work addresses the task of forecasting the popularity achieved by images shared through social media over time. This task is known as ''Popularity Dynamic Prediction''. The work is motivated by the fact that the popularity of social images, which is usually estimated at a precise instant of the post lifecycle, could be affected by the period of the post (i.e., how old is the post). To this aim, we exploited a recently released dataset for popularity dynamic prediction that includes about 20.000 images uploaded on Flickr and their sequences of engagement scores (i.e., number of views, number of comments and number of favorites) with a daily granularity. To build such a dataset, each image and its accompanying meta-data and statistics are downloaded within a few hours from the image posting on the social platform. Then, an automatic procedure collected the daily engagement scores of each observed picture for 30 days. The paper presents an approach in which the engagement score is formulated as a composition of two information associated to the evolution over time (shape) and the order of magnitude (scale) of the sequence. The two properties are inferred individually, then the two results are combined to predict the popularity dynamics over n days. This paper presents exhaustive experiments on the addressed task, evaluating a large number of experimental settings for the predictions of popularity sequences with different length n (n = 10, 20 or 30). In all settings, the prediction performed by the proposed method can be computed before the image is posted (i.e., at time zero). INDEX TERMS Dynamic prediction, image popularity prediction, social media engagement.

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The Social Picture

Cited by 12 publications

References 6 publications

Global Citizens and World Heritage: Social Inclusion of Online Communities in Heritage Planning

Global Citizens and World Heritage: Social Inclusion of Online Communities in Heritage Planning

An Adaptive Colour Calibration for Crowdsourced Images in Heritage Preservation Science

Predicting Social Image Popularity Dynamics at Time Zero

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