Social Media, Interfacing Brands in Relation to the Social Media Ecosystem

Author(s):  
Ze Zook ◽  
Ben Salmon

Much of the existing research in social media has been directed at examining the consequences of the interactive nature of the evolving medium and communication issues, with little to say about the impact of this medium on brands. Drawing on Fiske's relational model, this current chapter examines the interface between social media and brands, particularly on the breadth and the dimensions of the level of engagement. Social networks, such as Facebook and Twitter, are revolutionising the way companies market their products. New means of interaction and dialogue are used in part because of the inherent structure and features of these social media platforms. The chapter concludes by discussing the implications of the analysis for understanding of new terminology in the evolving marketing environment.

Author(s):  
Ze Zook ◽  
Ben Salmon

Much of the existing research in social media has been directed at examining the consequences of the interactive nature of the evolving medium and communication issues, with little to say about the impact of this medium on brands. Drawing on Fiske's relational model, this current chapter examines the interface between social media and brands, particularly on the breadth and the dimensions of the level of engagement. Social networks, such as Facebook and Twitter, are revolutionising the way companies market their products. New means of interaction and dialogue are used in part because of the inherent structure and features of these social media platforms. The chapter concludes by discussing the implications of the analysis for understanding of new terminology in the evolving marketing environment.


2019 ◽  
Vol 11 (4) ◽  
pp. 39-55
Author(s):  
Debora Dhanya A ◽  
Uma Pricilda Jaidev

Social advertising, ads in social media platforms, have become popular in recent years because of the evolution of internet technologies such as web analytics and big data mining. The content of the social advertisement is tailored in order to personalize the message to the target consumer groups. In an effort to reach the prospects, marketers should focus on the social leads on social networking sites (SNS) to promote and to sell their brands/products. Drawing on, online personalized advertising literature, e-WOM recommendations and increasing privacy concerns and perceived ad personalization (conceptualized as functions of psychological reactance) on SNS leads to avoid such advertisements. The goal of the study is to investigate the impact of perceived personalization, privacy concern, and e-WOM to consumers' behavioral click through intentions towards social ads. This study contributed to the theory of psychological reactance by indicating that the individuals with less privacy concern and personalized recommendations from their contacts on SNS have a smaller amount of reactance towards social advertisements than commercial advertisements by marketers. Suggestions for advertisers, social media marketing practitioners conclude the paper.


2019 ◽  
Vol 10 (2) ◽  
pp. 57-70 ◽  
Author(s):  
Vikas Kumar ◽  
Pooja Nanda

With the amplification of social media platforms, the importance of social media analytics has exponentially increased for many brands and organizations across the world. Tracking and analyzing the social media data has been contributing as a success parameter for such organizations, however, the data is being poorly harnessed. Therefore, the ethical implications of social media analytics need to be identified and explored for both the organizations and targeted users of social media data. The present work is an exploratory study to identify the various techno-ethical concerns of social media engagement, as well as social media analytics. The impact of these concerns on the individuals, organizations, and society as a whole are discussed. Ethical engagement for the most common social media platforms has been outlined with a number of specific examples to understand the prominent techno-ethical concerns. Both the individual and organizational perspectives have been taken into account to identify the implications of social media analytics.


Author(s):  
Siti Nurfadila

The popularity of influencers is continuous and doesn’t have a limited window of influence. Internet and social media play vital role in helping consumers find the items they are looking for. Obviously companies will keenly try to retain a strong presence in the social media platforms; otherwise the target audience can easily change suppliers. The present   study is intended to explore the influencer marketing techniques used by fashion industries and also the impact of influencers on the consumers buying decision process in fashion industry.


2021 ◽  
Vol 46 (11) ◽  
pp. 37-53
Author(s):  
Steven Kolber ◽  
◽  
Sandy Nicoll ◽  
Kelli McGraw ◽  
Nicholas Gaube ◽  
...  

This paper shares insights from an international community of educators who have been using social media as a virtual space for a scholarly reading group: #edureading. The collection of educator narratives presented in this paper show how social networks on Twitter and Flipgrid were used as inclusive environments for teacher-led professional development. This paper is both a report of research involving five practitioners inquiring into their collective experience, and an exercise in building the scholarly capacity of the #edureading group. The accessibility of the social media platforms, as well as the collaborative, inquiry-based approach to scholarly reading, emerge as key themes in the educator narratives. The findings of this research emphasise that professional learning occurring in virtual spaces is open to social mediation using the norms of social networks, rather than the norms of workplaces, jurisdictions or education sectors, and that this can lead to a greater sense of empowerment for educators


Author(s):  
Natalie Ann Hendry ◽  
Katrin Tiidenberg ◽  
Crystal Abidin ◽  
D. Bondy Valdovinos Kaye ◽  
Jing Zeng ◽  
...  

Social media platforms shape our lives on micro, meso and macro levels. They have transformed our everyday practices as individuals, or social practices as small and large groups, and have multiple, entangled impacts on rituals of democracy and cultural (re)production, organization of labor and industry. This panel brings together five papers, each by authors of recently published or forthcoming platform books. Together, the papers offer an analysis of TikTok, WeChat, Tumblr, Instagram and Facebook. Because of the book-length analyses preceding the panel, we are able to distill what is distinct and recognizable about these platforms – what we call ‘platform specificities’ and demonstrate how these specificities are shaping not only the experiences of the users of those platforms, but the social media ecosystem more broadly. The panel contributes to the ongoing discussion regarding platform power, social media and ways of making sense of social media, painting in board strokes plausible future developments to keep an eye on. The extended abstract holds a panel rationale and five extended abstracts for each analyzed platform.


Author(s):  
Mary-Kate Hickman ◽  
Wilson Ozuem ◽  
Jummy Okoya

Gender is a concept that has evolved with time, varying its meaning and relevance regularly. Today, it manifests across many facets of life. Whilst theories of gender began as a device to categorise individuals and groups, these have evolved into a broad, complex system of identification to describe the uniqueness of the individual. Central to the discussion of gender is the question of how we can understand human conduct and experience in technologically laden marketing environments. Drawing on extant theories, the current chapter examines how the technologically mediated marketing environment (TMME) is increasingly challenging fashion and luxury marketers to reconsider their marketing communications strategies, particularly with the impact of evolving Internet technologies such as social media platforms. The concluding section offers further agenda for future research.


Author(s):  
Сергей Шиловский

В статье представлены результаты исследования влияния контента на вовлеченность персонала розничных сетей в отношения с брендом на примере социальной сети Facebook. Работа посвящена описанию подхода к классификации характеристик контента и изучению влияния данных характеристик на вовлеченность персонала в отношения с брендом в социальных сетях. Показана взаимосвязь вовлеченности покупателей в отношения с брендом в социальных сетях и вовлеченности персонала в отношения с брендом в социальных сетях. Новизна авторского подхода заключается в том, что в процессе проведения исследования учитывалась специфика розничных сетей, включая, как специфику бренд-сообщества, так и специфику контента российских розничных сетей в социальной сети Facebook. Результаты исследования позволят маркетологам розничных сетей повысить вовлеченность потребителей в отношения с брендом в социальных медиа. This article is the description of the investigations of the content influence on the Russian FMCG retail chains staff brand involvement in the social network sites (taking Facebook as an example), conducted in April 2019. Recently, most retail chains in the world have actively been using social networks to build relationships with the consumers. The success of the business itself depends upon the success of building those relationships. In this regard, most Russian retail chains have their own Facebook brand page. A consumer brand involvement in social networks is an important goal for every retail chain. In this regard, in recent years, a large number of investigations have been conducted, stating how content affects the consumer brand involvement in the social networks. At the same time, researchers suggest that the brand community is homogeneous and consists of consumers only. However, the logic of serviceoriented marketing itself shows that not only consumers, but also other stakeholders develop the relationships with the brands. The specific feature of the retail chains is a large number of staff who are also the members of the brand communities. According to the Facebook algorithm the staff brand involvement influences on the consumer brand involvement in the social media. That’s why a company should take care not only of the consumers brand involvement but also of the staff brand involvement. This study focuses on the impact of the content on the staff brand involvement in the social networks. It defines the relevance of this investigation. The originality of the author's approach is the analysis of the content influence on the staff brand involvement in the social networks. Based on the previous investigations of the content influence on the consumers brand involvement, the advertising influence on the consumers and other studied content factors, that affect the consumer and staff involvement in the social media, were identified and used in the content analysis that was applied for this investigation. The investigation was conducted by the content analysis method, 460 posts posted on the brand pages of the Russian retail chains on Facebook were analyzed within the period from January 1 till April 30, 2019. The results of the survey allow us to understand what kind of content influences on the staff brand involvement in the social nets. After completing the investigation, the authors developed recommendations for marketers of the retail chains that will allow increasing the staff brand involvement.


Author(s):  
Sushil R. Mathapati ◽  
Nitin R. Hulsure ◽  
Ankush V. Takale ◽  
Sachin S. Rajmane

In this technical world, young youth of India enjoyed to spend their foremost time on social media. Not only in cities but also in rural areas, it found that the present generation has attraction towards social media. In today’s world, life cannot be imagined without social media like WhatsApp, Facebook, YouTube, TikTok, Instagram, LinkedIn and Twitter accounts etc. In the present work, we have study the impact of use of social media on academic performance and moral values of students located in omerga sub-district. This expressive, investigative study surveyed the types of social media platforms students commonly use, the amount of time students spend on social media, the purposes for which students use the social media and the influence of social media use on students’ academic as well as social life. The study also found that majority of students agreed that their educational performance is influenced due to the massive use of social media. Additionally, near about 50% students from these colleges think them self as they are addicted to use of social media. Keywords: Social media, Students life, Academic performance, Molar values.


Author(s):  
Faraz Ahmad ◽  
S. A. M. Rizvi

<p>Twitter is one of the most influential social media platforms, facilitates the spreading of information in the form of text, images, and videos. However, the credibility of posted content is still trailed by an interrogation mark. Introduction: In this paper, a model has been developed for finding the user’s credibility based on the tweets which they had posted on Twitter social networks. The model consists of machine learning algorithms that assist not only in categorizing the tweets into credibility classes but also helps in finding user’s credibility ratings on the social media platform. Methods and results: The dataset and associated features of 100,000 tweets were extracted and pre-processed. Furthermore, the credibility class labelling of tweets was performed using four different human annotators. The meaning cloud and natural language understanding platforms were used for calculating the polarity, sentiment, and emotions score. The K-Means algorithm was applied for finding the clusters of tweets based on features set, whereas, random forest, support vector machine, naïve Bayes, K-nearest-neighbours (KNN), J48 decision tree, and multilayer perceptron were used for classifying the tweets into credibility classes. A significant level of accuracy, precision, and recall was provided by all the classifiers for all the given credibility classes.</p>


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