Assessing the impact of the social network on marking photos as favorites in flickr

Alves, Luiz Oliveira; Maciel, Matheus; Ponciano, Lesandro; Brito, Andrey

doi:10.1145/2382636.2382655

Cited by 3 publications

(3 citation statements)

References 10 publications

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“…Few libraries like the Auburn University Library used Flickr for the library photostream. Flickr is an image-hosting service that enabled users to upload their pictures, have them automatically resized and given a unique URL, and displayed on the web for all to see (Alves et al, 2012). Flickr also allows a contacts list to keep track of your buddies and friends.…”

Section: Resultsmentioning

confidence: 99%

Web 2.0 applications' usage and trends in top US academic libraries

Boateng

Liu

2014

Library Hi Tech

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Purpose – This paper aims to explore Web 2.0 technologies usage and trends in the top 100 US academic libraries as exemplified through the academic library websites. Design/methodology/approach – The top 100 universities were selected from the US News & World Report's (USNWR) 2013 ranked list's top 100 of the best colleges in the USA. Content analysis was used in terms of quantitative approach. A checklist was developed as the main research instrument based on other checklists and questionnaires. Each of the selected university library websites was visited within a period of two weeks to explore implementation and usage of web tools, including SNS, blog, RSS, wikis, podcast/vodcast, and social bookmarking/tagging. Findings – All 100 academic libraries had a social media presence on Facebook and Twitter, making SNS the most widely applied Web 2.0 tool. The wiki was the least applied Web 2.0 technology, with a 34 percent participation rate. Blog was the second most popular tool with a 99 percent participation rate, followed by RSS and IM/Chat with 97 percent and 91 percent respectively. The vodcast and podcast had 47 percent and 46 percent participation rates respectively, while social bookmarking/tagging were also used by 39 percent of the academic libraries. Research limitations/implications – This study is completely based on publicly available data regarding usage of Web 2.0 applications. Web 2.0 tools used on library intranets were not analyzed for this study. Outcomes suggest that academic libraries are increasingly using Web 2.0 applications to promote themselves, enhance library services, and highlight resources to patrons. Originality/value – This is the first research that draws an overall picture of the usage and trends of Web 2.0 applications in the top 100 US academic libraries. This study demonstrates some noticeable patterns regarding usage, trends, and adoption which are relevant to how Web 2.0 applications are perceived and used within academic libraries. The study provides academic libraries with helpful information to better meet their user needs by effectively applying Web 2.0. Additionally, library managers, librarians and other libraries may also find this research beneficial as they plan to deploy Web 2.0.

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Section: Resultsmentioning

confidence: 99%

Web 2.0 applications' usage and trends in top US academic libraries

Boateng

Liu

2014

Library Hi Tech

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“…They found that 50% of the favorite actions occurred within one week of an image’s upload date, and the largest portion of these favorites was from the owner’s contacts. Alves et al, in [18], studied the impact of users’ networks on favorite actions on Flickr. They reported that 70% of the favorite marks of photos were received from the owner’s contacts.…”

Section: Related Workmentioning

confidence: 99%

On the Prediction of Flickr Image Popularity by Analyzing Heterogeneous Social Sensory Data

Aloufi

Zhu

Saddik

2017

Sensors

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The increase in the popularity of social media has shattered the gap between the physical and virtual worlds. The content generated by people or social sensors on social media provides information about users and their living surroundings, which allows us to access a user’s preferences, opinions, and interactions. This provides an opportunity for us to understand human behavior and enhance the services provided for both the real and virtual worlds. In this paper, we will focus on the popularity prediction of social images on Flickr, a popular social photo-sharing site, and promote the research on utilizing social sensory data in the context of assisting people to improve their life on the Web. Social data are different from the data collected from physical sensors; in the fact that they exhibit special characteristics that pose new challenges. In addition to their huge quantity, social data are noisy, unstructured, and heterogeneous. Moreover, they involve human semantics and contextual data that require analysis and interpretation based on human behavior. Accordingly, we address the problem of popularity prediction for an image by exploiting three main factors that are important for making an image popular. In particular, we investigate the impact of the image’s visual content, where the semantic and sentiment information extracted from the image show an impact on its popularity, as well as the textual information associated with the image, which has a fundamental role in boosting the visibility of the image in the keyword search results. Additionally, we explore social context, such as an image owner’s popularity and how it positively influences the image popularity. With a comprehensive study on the effect of the three aspects, we further propose to jointly consider the heterogeneous social sensory data. Experimental results obtained from real-world data demonstrate that the three factors utilized complement each other in obtaining promising results in the prediction of image popularity on social photo-sharing site.

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“…Nos dias atuais, redes sociais online são um importante meio de entretenimento, interação e comunicação entre pessoas em todo o mundo. A atuação das pessoas nessas redes tem sido objeto de estudo em diversas perspectivas [Ellison et al 2007, Alves et al 2012, Figueiredo et al 2014. Entre as principais redes sociais atualmente estão o Facebook, Instagram, Flickr e o Twitter.…”

Section: Introductionunclassified

Análise da Popularidade, Visibilidade e Atividade de Diferentes Tipos de Robôs na Rede Social Twitter

Valgas¹,

Carmo²,

Ponciano³

et al. 2017

Anais Do XIV Simpósio Brasileiro De Sistemas Colaborativos (SBSC 2017)

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O Twitter é uma das maiores redes sociais da atualidade. Ela é utilizada por milhões de pessoas. Além de pessoas, esta rede social também é populada por robôs, que são programas de computador que agem na rede social realizando as mesmas ações que seres humanos realizam. Neste trabalho apresenta-se uma análise de 27 robôs no Twitter com o objetivo de investigar características dos conteúdos publicados, atuação e atenção recebida por eles. Três métricas são consideradas: visibilidade, atividade e popularidade. Os robôs são analisados de forma individual e por tipo de robô, que são: informativos, inteligentes interativos e inteligentes não-interativos. Os resultados mostram que os robôs diferem muito entre eles em termos do nível de atividade. Eles também têm visibilidade e popularidade diferentes. Análises de correlação revelam que popularidade e visibilidade são características que estão fortemente correlacionadas. Robôs inteligentes interativos exibem maior nível atividade. Maior visibilidade e popularidade são obtidas por robôs informativos. Diversas implicações desses resultados são apresentadas e discutidas.

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Assessing the impact of the social network on marking photos as favorites in flickr

Cited by 3 publications

References 10 publications

Web 2.0 applications' usage and trends in top US academic libraries

Web 2.0 applications' usage and trends in top US academic libraries

On the Prediction of Flickr Image Popularity by Analyzing Heterogeneous Social Sensory Data

Análise da Popularidade, Visibilidade e Atividade de Diferentes Tipos de Robôs na Rede Social Twitter

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