Towards Monitoring Marijuana Activities via User-Generated Content Platforms and Social Networks

Author(s):  
Anh Nguyen ◽  
Hoang Pham ◽  
Dong Nguyen ◽  
Tuan Tran
Author(s):  
Letícia Seixas Pereira ◽  
João Guerreiro ◽  
André Rodrigues ◽  
André Santos ◽  
João Vicente ◽  
...  

Image description has been a recurrent topic on web accessibility over the years. With the increased use of social networks, this discussion is even more relevant. Social networks are responsible for a considerable part of the images available on the web. In this context, users are not only consuming visual content but also creating it. Due to this shared responsibility of providing accessible content, major platforms must go beyond accessible interfaces. Additional resources must also be available to support users in creating accessible content. Although many of today's services already support accessible media content authoring, current efforts still fail to properly integrate and guide their users through the authoring process. One of the consequences is that many users are still unaware of what an image description is, how to provide it, and why it is necessary. We present SONAAR, a project that aims to improve the accessibility of user-generated content on social networks. Our approach is to support the authoring and consumption of accessible social media content. Our prototypes currently focus on Twitter and Facebook and are available as an Android application and as a Chrome extension.


Author(s):  
Vipin K. Nadda ◽  
Sumesh Singh Dadwal ◽  
Dirisa Mulindwa ◽  
Rubina Vieira

Revolutionary development in field of communication and information technology have globally opened new avenue of marketing tourism and hospitality products. Major shift in web usage happened when Napster in 1999 released peer-to-peer share media and then with pioneer social networking websites named ‘Six Degrees'. This kind of interactive social web was named as ‘Web 2.0'. It would create openness, community and interaction. Web2. is also known as Social media base. Social media is incudes “all the different kinds of content that form social networks: posts on blogs or forums, photos, audio, videos, links, profiles on social networking web sites, status updates and more”. It allows people to create; upload post and share content easily and share globally. Social media allows the creation and exchange of user-generated content and experiences online. Thus, social media is any kind of information we share with our social network, using social networking web sites and services.


Data Mining ◽  
2013 ◽  
pp. 1230-1252
Author(s):  
Luca Cagliero ◽  
Alessandro Fiori

This chapter presents an overview of social network features such as user behavior, social models, and user-generated content to highlight the most notable research trends and application systems built over such appealing models and online media data. It first describes the most popular social networks by analyzing the growth trend, the user behaviors, the evolution of social groups and models, and the most relevant types of data continuously generated and updated by the users. Next, the most recent and valuable applications of data mining techniques to social network models and user-generated content are presented. Discussed works address both social model extractions tailored to semantic knowledge inference and automatic understanding of the user-generated content. Finally, prospects of data mining research on social networks are provided as well.


2020 ◽  
Vol 20 ◽  
pp. 100312 ◽  
Author(s):  
Jose Ramon Saura ◽  
Ana Reyes-Menendez ◽  
Stephen B. Thomas

2019 ◽  
Vol 32 (4) ◽  
pp. 472-486 ◽  
Author(s):  
Maria Teresa Borges-Tiago ◽  
Flavio Tiago ◽  
José Manuel Veríssimo ◽  
Tiago Silva

Purpose The digital relationship between brand and users, and brand and endorsers has been analyzed from different angles. The purpose of this paper is to investigate how these three elements co-create online the brand personality of the firm, through user-generated content. Design/methodology/approach This study gathered data from the hotels’ websites, Facebook, Twitter and TripAdvisor accounts, examining the content posted by the hotel, by tourists and by the celebrity endorsing some of the hotels. To pursue the aims, the brand personality dimensions communicated online were assessed through content analysis for the global presence and for each social network by user typology to establish the alignment of brand personality traits communicated. Findings Digital communication was found to vary significantly between the hotels and tourists in different social networks. The amount of content created by tourists is significantly higher than the ones produced by the hotel. The sincerity dimension of brand personality was confirmed in both communications. However, tourists’ brand image impacts brand personality differently than the hotels themselves. Furthermore, an analysis of the influence of customers on social networks indicates that celebrity personality traits seem to impact on the image of a hotel brand. Originality/value This research can be used to help brand managers to understand better the digital co-branding with clients and celebrity, as well as to identify gaps in their brand personality strategy. It could also assist future researchers focusing on digital celebrity endorsement since few researchers have analyzed digital communication in different social networks.


Author(s):  
Daniela Pohl ◽  
Abdelhamid Bouchachia ◽  
Hermann Hellwagner

Social networks provide the opportunity to gather and share knowledge about a situation of relevance. User-generated content is getting increasingly important during crisis management. It facilitates the collaboration with citizens or involved parties from the very beginning of the crisis. The information captured in the form of images, text or videos is a valuable source of identifying sub-events of a crisis. In this study, the authors use metadata of images and videos collected from Flickr and YouTube to extract crisis sub-events. The authors investigate the suitability of clustering techniques to detect sub-events. In particular two algorithms are evaluated on several data sets related to crisis situations. The results show the high potential of the proposed approach. In addition, the authors validate the idea of sub-event detection for the authors’ future research based on a survey conducted among practitioners. Their responses show the potential of using social media in combination with sub-event detection during emergency management.


2018 ◽  
pp. 1318-1339
Author(s):  
Vipin K. Nadda ◽  
Sumesh Singh Dadwal ◽  
Dirisa Mulindwa ◽  
Rubina Vieira

Revolutionary development in field of communication and information technology have globally opened new avenue of marketing tourism and hospitality products. Major shift in web usage happened when Napster in 1999 released peer-to-peer share media and then with pioneer social networking websites named ‘Six Degrees'. This kind of interactive social web was named as ‘Web 2.0'. It would create openness, community and interaction. Web2. is also known as Social media base. Social media is incudes “all the different kinds of content that form social networks: posts on blogs or forums, photos, audio, videos, links, profiles on social networking web sites, status updates and more”. It allows people to create; upload post and share content easily and share globally. Social media allows the creation and exchange of user-generated content and experiences online. Thus, social media is any kind of information we share with our social network, using social networking web sites and services.


2014 ◽  
Vol 29 (14) ◽  
pp. 2147-2168 ◽  
Author(s):  
Lei Li ◽  
Xin Lin ◽  
Yue Zhai ◽  
Caixia Yuan ◽  
Yanquan Zhou ◽  
...  

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