scholarly journals Study of situation awareness of cultural security based on social media analysis

2020 ◽  
Vol 16 (1) ◽  
pp. 155014772090360
Author(s):  
Jianjun Li ◽  
Yonghui Dai ◽  
Qinghua Shi ◽  
Jin Xian
Keyword(s):  
Social Media ◽  
Cultural Identity ◽  
Situation Awareness ◽  
Media Analysis ◽  
National Interests ◽  
Hip Hop Culture ◽  
Chinese College Students ◽  
Online Comments ◽  
Research Objects ◽  
The Impact

With the intercultural exchanges between different countries becoming more and more frequent, the degree of cultural exchanges is gradually deepening, which brings more and more cultural security problems. As an important part of national security, cultural security is closely related to national interests. This article takes Chinese college students and social workers who just graduated as research objects, takes online comments on “hip-hop” culture and “funeral culture” as research objects, and uses literature research and empirical research methods to analyze social media comments and study the cultural security situation in China. It is concluded that online comments have a significant impact on cultural identity and cultural security, and negative online comments have a greater impact on both than positive online comments. In addition, cultural identity has a significant impact on cultural security. At the same time, the impact of cultural identity on online comments and cultural security is partly mediated. The results of this study will help to provide reference and guidance for the maintenance of cultural security.

Computational Journalism Analysis on Young Adults' Body Images and Attitudes Toward Plastic Surgery

2021 ◽  
Vol 17 (4) ◽  
pp. 89-108
Author(s):  
Chutisant Kerdvibulvech ◽  
Pattaragun Wanishwattana
Keyword(s):  
Social Media ◽  
Young Adults ◽  
Plastic Surgery ◽  
Online Survey ◽  
Media Analysis ◽  
Social Media Analysis ◽  
Body Images ◽  
Negative Body Image ◽  
Self Perceptions ◽  
The Impact

Computational journalism, especially social media analysis, is a very popular field in computational science. This study was conducted to explore and analyze the impact of the intensity of the exposure to social media on young Thai adults' body images and attitudes toward plastic surgery. The purposive sampling method was used for choosing 250 young Thai men and women aged 21 to 40 who used Facebook and/or Instagram on a regular basis. Online survey questionnaires were posted on Facebook for one month to achieve the results. It was found that young Thai adults frequently and heavily used both social media. Having appearance pressure from and repeated social comparison with idealistic media images, a considerable number of participants displayed more negative self-perceptions and engaged in appearance-changing strategies through increased appearance investment. The results showed that the more these young adults were exposed to social media, the more they were likely to develop a negative body image of themselves, which later caused their attitude toward plastic surgery to be positive.

scholarly journals Effects of Indian Cartoons on Pakistani Children

2018 ◽  
Vol I (I) ◽  
pp. 15-25
Author(s):  
Khadija Maqsood
Keyword(s):  
Social Media ◽  
Cultural Identity ◽  
The Future ◽  
Social Media Platforms ◽  
The Common ◽  
Cultural Traits ◽  
Hindi Language ◽  
The Impact

This study is conducted to assess the impact of Indian Cartoons on Pakistani children. For this purpose, the survey was conducted among the common citizens of Pakistan. In total 50 participants took part in the survey. It has been established that the major impacts of Indian Cartoons include children adopting foreign cultural traits, adopting Hindi language and diverting away from Religion to some extent. These impacts can become harmful in future if the foreign traits adopted by children get cemented. These children are the future of Pakistan. If they do not stick to their original cultural identity, then in few years the distinct identity of Pakistan will be lost. Even when the cartoons are banned from Pakistani channels, still they are present on social media platforms like Youtube. Parents must ensure that their children do not watch Indian cartoons. Only then we will be able to save our culture.

Bilingual brand communities? Strategies for targeting Hispanics on social media

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dino A. Villegas ◽  
Alejandra Marin Marin
Keyword(s):  
Social Media ◽  
Cultural Identity ◽  
Customer Engagement ◽  
Content Type ◽  
Online Spaces ◽  
The Usa ◽  
Social Media Platforms ◽  
Four Levels ◽  
Facebook Pages ◽  
The Impact

Purpose This paper aims to explore different strategies used by brands to target the Hispanic market via social media from the lens of the Spanish language in a multicultural country like the USA. Design/methodology/approach This study uses a netnographic approach by drawing information from a study of the Facebook pages of 11 brands belonging to different industries. Findings Companies engage in four levels of cultural identity adaptation using different strategies based on ethnicity: language adaptation, identity elements, identity matching and Latino persona. The study also shows that merely translating Facebook pages do not generate high levels of communitarian interaction. Practical implications This study examines different strategies used by brands in the USA to target the Hispanic audience on social media to provide insights for brand managers to develop online engagement. Originality/value With the increase in cultural diversity in different countries and the rise of social media platforms, brand researchers need to better understand how cultural identity permeates marketing strategies in online spaces. Social media platforms such as Facebook offer flexible environments where strategies beyond product- and brand-related aspects can be used. This study extends the literature by showing the heterogeneity of cultural identity-based strategies used by companies to ensure customer engagement and brand loyalty and the impact of such strategies on users.

scholarly journals Athlete Brand Development in Social Media: Analysis of Students’ Attitudes

2021 ◽  
Vol 2 (121) ◽  
pp. 34-40
Author(s):  
Karolina Deliautaitė ◽  
Silvija Baubonytė ◽  
Inga Staškevičiūtė-Butienė ◽  
Irena Valantinė
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Athletic Performance ◽  
Sport Management ◽  
Causal Link ◽  
Media Analysis ◽  
Fundamental Aspect ◽  
Positioning Strategy ◽  
Students Attitudes ◽  
The Impact

Background. Athlete brand image management is one of the most popular topics of discussion in sport management right now. As professional sport has become a commercialised industry segment with more athletes involved, athletes are becoming promotional faces. Most professional athletes are involved in the use of social networks. There athletes actively demonstrate their personal lives, professional accents and advertise products. It is important to understand and analyse the impact of social networks on an athlete’s brand and ways to properly position themselves in social media. Using social networks, athletes are closer to fans and consumers than ever before. Based on and applying the Athlete Brand model developed by Arai (2010), this study aimed to investigate students’ attitudes towards athletes’ self-positioning on social networks. Methods. The study involved 367 students (151 men and 216 women) from three Lithuanian universities. The Arai (2010) questionnaire was used for the study. Statistical analysis of the data was performed using SPSS 26.0. Results. It has been found that athletes’ sports performance is statistically significant in the development of a professional athlete’s brand, it is the fundamental aspect that creates the initial status of athlete’s brand. Results showed that the strongest direct causal link was found between an athlete’s athletic performance and lifestyle. It was also found that very strong links, in the opinion of the respondents, were between the athletes’ communication and behaviours. Conclusions. When building an athlete’s brand, it is important to pay attention to three key components: athletic performance, attractive appearance, and marketable lifestyle. These three uses of an athlete’s brand can be explained by specific aspects of sports competitions or components of personal life. However, one of the most important factors in shaping a positive image of an athlete is athletic achievements. Practical implications. This study can provide a consistent consumer approach to key aspects, focusing on consumer attention in athlete positioning. This can help the athlete and marketers develop an appropriate personal branding and positioning strategy in social media, which will then broaden the circle of fans and strengthen the opinion of loyal fans. Athlete’s brand is a set of closely interrelated and fan-centred physical, functional, aesthetic, and emotional elements that sets athlete’s brand apart from competitors and creates financial benefits for the athlete. The brand creates benefits not only for the athlete, but also for the market participants around him/her (consumer/fan, commercial brand), which can be called the functions of the brand. Keywords: Athlete’s image, social network, brand relationship.  

scholarly journals The Impact of Artificial Intelligence on Branding

2021 ◽  
Vol 29 (4) ◽  
pp. 221-246
Author(s):  
Varsha P. S. ◽  
Shahriar Akter ◽  
Amit Kumar ◽  
Saikat Gochhait ◽  
Basanna Patagundi
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
Citation Analysis ◽  
Brand Choice ◽  
Media Analysis ◽  
Social Media Analytics ◽  
Information Cascades ◽  
Luxury Brands ◽  
Value Propositions ◽  
The Impact

Understanding the growth paths of artificial intelligence (AI) and its impact on branding is extremely pertinent of technology-driven marketing. This explorative research covers a complete bibliometric analysis of the impact of AI on branding. The sample for this research included all 117 articles from the period of 1982-2019 in the Scopus database. A bibliometric study was conducted using co-occurrence, citation analysis and co-citation analysis. The empirical analysis investigates the value propositions of AI on branding. The study revealed the nine clusters of co-occurrence: Social Media Analytics and Brand Equity; Neural Networks and Brand Choice; Chat Bots-Brand Intimacy; Twitter, Facebook, Instagram-Luxury Brands; Interactive Agent-Brand Love and User Choice; Algorithm Recommendations and E-Brand Experience; User-Generated Content-Brand Sustainability; Brand Intelligence Analytics; and Digital Innovations and Brand Excellence. The findings also identify four clusters of citation analysis—Social Media Analysis and Brand Photos, Network Analysis and E-Commerce, Hybrid Simulating Modelling, and Real-time Knowledge-Based Systems—and four clusters of co-citation analysis: B2B Technology Brands, AI Fostered E-Brands, Information Cascades and Online Brand Ratings, and Voice Assistants-Brand Eureka Moments. Overall, the study presents the patterns of convergence and divergence of themes, narrowing to the specific topic, and multidisciplinary engagement in research, thus offering the recent insights in the field of AI on branding.

scholarly journals SMAFED: Real-Time Event Detection in Social Media Streams

2021 ◽  
Author(s):  
Taiwo Kolajo ◽  
Olawande Daramola ◽  
Ayodele A. Adebiyi
Keyword(s):  
Social Media ◽  
Event Detection ◽  
Semantic Processing ◽  
Semantic Analysis ◽  
Semantic Representation ◽  
Semantic Relatedness ◽  
Media Analysis ◽  
Social Media Platforms ◽  
Media Stream ◽  
The Impact

Abstract Interactions via social media platforms have made it possible for anyone, irrespective of physical location, to gain access to quick information on events taking place all over the globe. However, the semantic processing of social media data is complicated due to challenges such as language complexity, unstructured data, and ambiguity. In this paper, we proposed the Social Media Analysis Framework for Event Detection (SMAFED). SMAFED aims to facilitate improved semantic analysis of noisy terms in social media streams, improved representation/embedding of social media stream content, and improved summarisation of event clusters in social media streams. For this, we employed key concepts such as integrated knowledge base, resolving ambiguity, semantic representation of social media streams, and Semantic Histogram-based Incremental Clustering based on semantic relatedness. Two evaluation experiments were conducted to validate the approach. First, we evaluated the impact of the data enrichment layer of SMAFED. We found that SMAFED outperformed other pre-processing frameworks with a lower loss function of 0.15 on the first dataset and 0.05 on the second dataset. Secondly, we determined the accuracy of SMAFED at detecting events from social media streams. The result of this second experiment showed that SMAFED outperformed existing event detection approaches with better Precision (0.922), Recall (0.793), and F-Measure (0.853) metric scores. The findings of the study present SMAFED as a more efficient approach to event detection in social media.

Mitigating the Impact of Data Sampling on Social Media Analysis and Mining

2020 ◽  
Vol 7 (2) ◽  
pp. 546-555
Author(s):  
Kuai Xu ◽  
Feng Wang ◽  
Haiyan Wang ◽  
Yufang Wang ◽  
Ying Zhang
Keyword(s):  
Social Media ◽  
Media Analysis ◽  
Data Sampling ◽  
Social Media Analysis ◽  
The Impact

The Spatial Dimension in Social Media Analysis

2022 ◽  
pp. 488-509
Author(s):  
Ciro Clemente De Falco ◽  
Noemi Crescentini ◽  
Marco Ferracci
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Spatial Dimension ◽  
Media Analysis ◽  
Social Media Analysis ◽  
Web Studies ◽  
Data Source ◽  
Research Stream ◽  
The Impact ◽  
Theoretical Issues

In the data revolution era, the availability of “voluntary” and “derived from social media” geographic information allowed the spatial dimension to gain attention in digital and web studies. The purpose of this work is to recognize the impact of this research stream on some methodological and theoretical issues. The first regards “critical algorithm studies” in order to understand what algorithms are used. The second concerns how these works conceive the space. The last two issues concern the disciplinary areas in which these researches take place and which are the ecological units taken into account. The authors answer these questions by analyzing, through a content analysis, the researches extracted with the PRISMA methodology that have used Twitter as a data source. The application of this procedure allows the authors to classify the analysis material, moving simultaneously on the four defined dimensions.

scholarly journals Improving Informed Consent for Novel Vaccine Research in a Pediatric Hospital Setting Using a Blended Research-Design Approach

2021 ◽  
Vol 8 ◽  
Author(s):  
Sally M. Jackson ◽  
Margherita Daverio ◽  
Silvia Lorenzo Perez ◽  
Francesco Gesualdo ◽  
Alberto E. Tozzi
Keyword(s):  
Social Media ◽  
Clinical Trials ◽  
Informed Consent ◽  
Research Design ◽  
Participatory Design ◽  
Hospital Setting ◽  
Media Analysis ◽  
Design Approach ◽  
Original Text ◽  
The Impact

It is necessary to conduct Clinical Trials in children, including for novel vaccines. Children cannot legally provide valid consent, but can assent to research participation. Informed consent and assent communications are frequently criticized for their lack of comprehensibility and often, researchers do not involve patients in informed consent design. We tested a blended research-design approach to co-design multimedia informed consent prototypes for experimental vaccine studies targeted at the pediatric population. We report details on the methodology utilized, and the insights, ideas, and prototype solutions we generated using social media data analysis, a survey, and workshops. A survey of clinical trial researchers indicated that while the most did not use technology for informed consent, they considered its utilization favorable. Social media analysis enabled researchers to quickly understand where community perspectives were concordant and discordant and build their understanding of the types of topics that they may want to focus on during the design workshops. Participatory design workshops for children and their families reaped insights, ideas, and prototypes for a range of tools including apps and websites. Participants felt that the prototypes were better able to communicate necessary content than the original text document format. We propose using a participatory, mixed-methods approach to design informed consent so that it is better adapted to patients' needs. Such an approach would be helpful in better addressing the needs of different segments of the populations involved in clinical trials. Further evidence should be gained about the impact of this strategy in improving recruitment, decreasing withdrawals and litigations, and improving patient satisfaction during clinical trials.

Social Media Usage During Disasters: Exploring the Impact of Location and Distance on Online Engagement

2019 ◽  
Vol 14 (2) ◽  
pp. 183-191
Author(s):  
Qing Deng ◽  
Yi Liu ◽  
Xiaodong Liu ◽  
Hui Zhang ◽  
Xiaolong Deng
Keyword(s):  
Social Media ◽  
Situation Awareness ◽  
Psychological Distance ◽  
Three Dimensions ◽  
Media Usage ◽  
Online Engagement ◽  
The Social ◽  
Usage Patterns ◽  
The Impact ◽  
The Relationship

ABSTRACTSocial media play an important role in emergency management. The location of citizens and distance from a disaster influence the social media usage patterns. Using the Tianjin Port Explosion, we apply the correlation analysis and regression analysis to explore the relationship between online engagement and location. Citizens’ online engagement is estimated by social media. Three dimensions of the psychological distance – spatial, temporal, and social distances – are applied to measure the effects of location and distance. Online engagement is negatively correlated to such 3 kinds of the distance, which indicates that citizens may pay less attention to a disaster that happens at a far away location and at an area of less interaction or at a relatively long period of time. Furthermore, a linear model is proposed to measure the psychological distance. The quantification relationship between online engagement and psychological distance is discussed. The result enhances our understanding of social media usage patterns related to location and distance. The study gives a new insight on situation awareness, decision-making during disasters.

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