Potential buyer identification and purchase likelihood quantification by mining user-generated content on social media

2022 ◽  
Vol 187 ◽  
pp. 115899
Author(s):  
Zhaoguang Xu ◽  
Yanzhong Dang ◽  
Qianwen Wang
Communicology ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 167-179
Author(s):  
E.S. Nadezhkina

The term “digital public diplomacy” that appeared in the 21st century owes much to the emergence and development of the concept of Web 2.0 (interactive communication on the Internet). The principle of network interaction, in which the system becomes better with an increase in the number of users and the creation of user-generated content, made it possible to create social media platforms where news and entertainment content is created and moderated by the user. Such platforms have become an expression of the opinions of various groups of people in many countries of the world, including China. The Chinese segment of the Internet is “closed”, and many popular Western services are blocked in it. Studying the structure of Chinese social media platforms and microblogging, as well as analyzing targeted content is necessary to understand China’s public opinion, choose the right message channels and receive feedback for promoting the country’s public diplomacy. This paper reveals the main Chinese social media platforms and microblogging and provides the assessment of their popularity, as well as possibility of analyzing China’s public opinion based on “listening” to social media platforms and microblogging.


2020 ◽  
Vol 13 (1) ◽  
pp. 56 ◽  
Author(s):  
Mohammad Tipu Sultan ◽  
Farzana Sharmin ◽  
Alina Badulescu ◽  
Elena Stiubea ◽  
Ke Xue

There has been increasing interest in coastal tourism, sparking a debate on the responsible environmental behavior of travelers visiting sustainable destinations. To mitigate this issue, destination marketing organizations (DMOs) and environmental activists are trying to develop strategic approaches (i.e., by using digital technologies) to enhance the sustainable behavior of travelers. Environmental responsiveness and its impact on sustainable destinations is gaining attention by companies, scholars, and institutions. However, the relevant literature has not addressed social media user-generated content regarding sustainable destinations. Sharing stakeholder knowledge, activities, and experience on social media could accomplish this goal. Hence, this paper aims to explore travelers′ responsible environmental behavior towards coastal tourism within the social media user-generated content paradigm. To measure the effect of user-generated content (UGC), i.e., cognitive triggers and affective triggers, on the responsible environmental behavior of travelers, a survey questionnaire was used to collect data (n = 506) from the world’s longest sandy sea beach, Cox’s Bazar, located in the Southern part of Bangladesh. The data were examined by structural equation modeling (SEM). The results revealed that cognitive and affective triggers of user-generated content influence travelers’ environmental concerns and attitudes, making a significant contribution to shaping responsible environmental behavior. Additionally, the findings show that environmental concerns and attitudes play a significant role in producing commitment towards a sustainable coastal tourism practice. This study contributes to the effectiveness of user-generated content for persuasive interactions with destination marketing organizations to develop sustainable tourism practices.


Electronics ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1332
Author(s):  
Hong Fan ◽  
Wu Du ◽  
Abdelghani Dahou ◽  
Ahmed A. Ewees ◽  
Dalia Yousri ◽  
...  

Social media has become an essential facet of modern society, wherein people share their opinions on a wide variety of topics. Social media is quickly becoming indispensable for a majority of people, and many cases of social media addiction have been documented. Social media platforms such as Twitter have demonstrated over the years the value they provide, such as connecting people from all over the world with different backgrounds. However, they have also shown harmful side effects that can have serious consequences. One such harmful side effect of social media is the immense toxicity that can be found in various discussions. The word toxic has become synonymous with online hate speech, internet trolling, and sometimes outrage culture. In this study, we build an efficient model to detect and classify toxicity in social media from user-generated content using the Bidirectional Encoder Representations from Transformers (BERT). The BERT pre-trained model and three of its variants has been fine-tuned on a well-known labeled toxic comment dataset, Kaggle public dataset (Toxic Comment Classification Challenge). Moreover, we test the proposed models with two datasets collected from Twitter from two different periods to detect toxicity in user-generated content (tweets) using hashtages belonging to the UK Brexit. The results showed that the proposed model can efficiently classify and analyze toxic tweets.


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.


PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0253300
Author(s):  
Md Shoaib Ahmed ◽  
Tanjim Taharat Aurpa ◽  
Md Musfique Anwar

COVID-19 caused a significant public health crisis worldwide and triggered some other issues such as economic crisis, job cuts, mental anxiety, etc. This pandemic plies across the world and involves many people not only through the infection but also agitation, stress, fret, fear, repugnance, and poignancy. During this time, social media involvement and interaction increase dynamically and share one’s viewpoint and aspects under those mentioned health crises. From user-generated content on social media, we can analyze the public’s thoughts and sentiments on health status, concerns, panic, and awareness related to COVID-19, which can ultimately assist in developing health intervention strategies and design effective campaigns based on public perceptions. In this work, we scrutinize the users’ sentiment in different time intervals to assist in trending topics in Twitter on the COVID-19 tweets dataset. We also find out the sentimental clusters from the sentiment categories. With the help of comprehensive sentiment dynamics, we investigate different experimental results that exhibit different multifariousness in social media engagement and communication in the pandemic period.


2019 ◽  
Vol 4 (1) ◽  
pp. 61
Author(s):  
Mufida Cahyani

The emergence of various kinds of social media applications does not only affect the way people communicate, but also penetrates into the realm of online mass media. Social media platforms that carry the concept of web 2.0 namely user generated content and network effects make it easy for a news to become viral in a short time, regardless of the validity and accuracy of the news. Web 2.0 itself is a direct application of the concept of Knowledge Management (KM) which emphasizes collaboration and user participation, but in a broader domain, it is slightly different from KM which emphasizes internal organizational participation. Hipwee as one of the social media-based online news sites applies both concepts to its content management. The purpose of this study was to analyze the extent of the application of KM in relation to Web 2.0. The method used to explore data through interviews with Hipwee managers and direct observation to the office location and also the Hipwee site. The results obtained are that the adaptation of the KM concept has not been applied to Web 2.0 on the Hipwee site, namely the concept of data mining, while the Web 2.0 concept has been applied to KM, namely unbounded collaboration, user generated content and network effects.


Author(s):  
Jean-Eric Pelet ◽  
Jashim Khan ◽  
Panagiota Papadopoulou ◽  
Emmanuelle Bernardin

From the perspective of improving e-learning, the free access and user friendliness of User Generated Content (UGC) tools, such as social media, embedded onto mobile devices, such as smartphones and tablets, make them attractive to be adopted by students and professors in many institutions around the world. This chapter presents the results of an exploratory study on the use of smart phones and social media, identifying differences among countries, focusing on the MENA region (Middle East and North Africa). The objective is to facilitate the understanding of the rapidly evolving and expanding technology of smart phones and social media and explore its potential for m-learning purposes. Results show that social media and mobile devices can be effectively combined in a promising way to enable m-learning.


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.


Author(s):  
Marco Briziarelli

Through the lens of a political economic approach, I consider the question whether or not social media can promote social change. I claim that whereas media have consistently channeled technological utopia/dystopia, thus be constantly linked to aspirations and fear of social change, the answer to that question does not depend on their specific nature but on historically specific social relations in which media operate. In the case here considered, it requires examining the social relations re-producing and produced by informational capitalism. More specifically, I examine how the productive relations that support user generated content practices of Facebook users affect social media in their capability to reproduce and transform existing social contexts. Drawing on Fuchs and Sevignani's (2013) distinction between “work” and “labor” I claim that social media reflect the ambivalent nature of current capitalist mode of production: a contest in which exploitative/emancipatory as well as reproductive/transformative aspects are articulated by liberal ideology.


Author(s):  
Xinming Jia ◽  
Kineta Hung ◽  
Ke Zhang

This chapter explores the diversity of celebrity fans in China, including their motives, activities and processes of celebrity idolization. Based on a grounded theoretical approach, the authors traced and analyzed the user-generated content posted on Weibo that was prepared by fans of the singer/actor Wallace Chung. The analysis reveals five fan segments with different motives: casual fans (playful), fascinated fans (aspirational), devoted fans (sense of belonging), dysfunctional fans (identification with celebrity), and reflective fans (solid self-identity), thus demonstrating fans' different characteristics. This chapter also outlines the typical developmental process as fans increase their investments into the celebrity. Variants of this process, given the fans' different psychological and demographic characteristics, were also discussed.


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