scholarly journals Representativeness of Social Media in Great Britain: Investigating Facebook, LinkedIn, Twitter, Pinterest, Google+, and Instagram

2017 ◽  
Vol 61 (7) ◽  
pp. 741-756 ◽  
Author(s):  
Grant Blank ◽  
Christoph Lutz

Sociological studies show that Internet access, skills, uses, and outcomes vary between different population segments. However, we lack differentiated statistical evidence of the social characteristics of users of distinct social media platforms. We address this issue using a representative survey of Great Britain and investigate the social characteristics of six major social media platforms. We find that age and socioeconomic status are driving forces of several—but not all—of these platforms. The findings suggest that no social media platform is representative of the general population. The unrepresentativeness has major implications for research that uses social media as a data source. Social media data cannot be used to generalize to any population other than themselves.

2021 ◽  
pp. 146144482110594
Author(s):  
Yiyi Yin ◽  
Zhuoxiao Xie

This study discusses the shifting dynamics of fan participatory cultures on social media platforms by introducing the concept of “platformized language games.” We conceive of a fan community as a “speech community” and propose that the language and discourses of fan participatory cultures are technological practices that only make sense in use and interactions as “games” on social media platform. Based on an ethnography of communication on fan communities on Weibo, we analyze the technological-communicative acts of fan speech communities, including the platformized setting, participants, topics, norms, and key purposes. We argue that the social media logic (programmability, connectivity, popularity, and datafication) articulates with fans’ language games, thus shifting the “form of life” of celebrity fans on social media. Empirically, fan participatory cultures continue to mutate in China, as fan communities create idiosyncratic platformized language games based on the selective appropriation of the social media logics of connectivity and data-driven metrics.


2021 ◽  
Vol 15 (1) ◽  
pp. 1-11
Author(s):  
Akhmad Roja Badrus Zaman ◽  
Mahin Muqaddam Assarwani

Advances in technology and information provide new opportunities for preachers to be able to take part in spreading Islamic teachings through various social media platforms. One of the preachers who took the role to preach through social media was Habib Husein Jafar al-Hadar. This article examines Habib Husein Jafar’s missionary activities on the social media platform he uses, Youtube. The researcher analyzes the data by observing virtually and visually (virtual ethnography) on the da’wa content displayed by Habib Husein Jafar through Youtube. The study shows that: 1) the attention to the spiritual enlightenment efforts of the younger generation is the basis of the selection of the social media platform Youtube - because based on previous research, the users of this social media platform are 18-29 years of age; 2) starting from the da’wa consumers who are primarily young people, the content they present is suitable to their needs and lifestyle and 3) by using the concept of the circuit of culture analysis, Habib Husein Jafar in various ranges can reconstruct people’s perception of one’s definition of holiness. It is not limited based on normative appearance - cloaked and sacrificed, for example - but more on the substantive side, namely by behaving and having knowledgeable skills. With the variety of content, he could visualize himself as a pious young man by not abandoning his social status as a young person.


Author(s):  
Mohamad Hasan

This paper presents a model to collect, save, geocode, and analyze social media data. The model is used to collect and process the social media data concerned with the ISIS terrorist group (the Islamic State in Iraq and Syria), and to map the areas in Syria most affected by ISIS accordingly to the social media data. Mapping process is assumed automated compilation of a density map for the geocoded tweets. Data mined from social media (e.g., Twitter and Facebook) is recognized as dynamic and easily accessible resources that can be used as a data source in spatial analysis and geographical information system. Social media data can be represented as a topic data and geocoding data basing on the text of the mined from social media and processed using Natural Language Processing (NLP) methods. NLP is a subdomain of artificial intelligence concerned with the programming computers to analyze natural human language and texts. NLP allows identifying words used as an initial data by developed geocoding algorithm. In this study, identifying the needed words using NLP was done using two corpora. First corpus contained the names of populated places in Syria. The second corpus was composed in result of statistical analysis of the number of tweets and picking the words that have a location meaning (i.e., schools, temples, etc.). After identifying the words, the algorithm used Google Maps geocoding API in order to obtain the coordinates for posts.


Author(s):  
Iman Mohamed Zahra

The objective of the current chapter is to analyze one of the most recent and successful social media campaigns namely #NotInMyName from the viewpoint of the seven dimensions of religion utilized by Van Esch and others as the main pillar of social marketing and media campaigns. Further #NotInMyName Public Relations (PR) campaign is scrutinized for PR strategies and message strategies utilized in formulating the campaign messages. To achieve that end, a qualitative analysis was implemented on three levels relating to each video and vine of the study sample: first locating the Dimensions of Religion (DOR taxonomy(ies) used in this video or vine, then emanating on the PR campaign strategies implemented in the video or vine and finally searching for the message strategies utilized in the video or vine. The major conclusion of this study was that although campaigns launched via social media lack the scientific known steps utilized to plan and launch media campaigns traditionally, those campaigns derive from the social media platform exacerbating an unprecedented power to stir political and social movements especially, regarding controversial and stagnant matters. Posts, comments and shares on different social media platforms go viral, stir discussions, and trigger public opinion both virtually and in reality. Dimensions of Religion taxonomies proved reliability as a viable platform stemming from another discipline to plan messages and to analyze campaigns based on the different aspects the model would provide. Ranging from simple aspects to more complicated aspects, Dimensions of Religion model must be subjected to further research to determine its feasibility to be applied to different campaigning structures and objectives.


2020 ◽  
Vol 12 (12) ◽  
pp. 211
Author(s):  
Philip Nyblom ◽  
Gaute Wangen ◽  
Vasileios Gkioulos

Social media are getting more and more ingrained into everybody’s lives. With people’s more substantial presence on social media, threat actors exploit the platforms and the information that people share there to deploy and execute various types of attacks. This paper focuses on the Norwegian population, exploring how people perceive risks arising from the use of social media, focusing on the analysis of specific indicators such as age, sexes and differences among the users of distinct social media platforms. For data collection, a questionnaire was structured and deployed towards the users of multiple social media platforms (total n = 329). The analysis compares risk perceptions of using the social media platforms Facebook (n = 288), Twitter (n = 134), Reddit (n = 189) and Snapchat (n = 267). Furthermore, the paper analyses the differences between the sexes and between the digital natives and non-natives. Our sample also includes sufferers of ID theft (n = 50). We analyse how account compromise occurs and how suffering ID theft changes behaviour and perception. The results show significant discrepancies in the risk perception among the social media platform users across the examined indicators, but also explicit variations on how this affects the associated usage patterns. Based on the results, we propose a generic risk ranking of social media platforms, activities, sharing and a threat model for SoMe users. The results show the lack of a unified perception of risk on social media, indicating the need for targeted security awareness enhancement mechanisms focusing on this topic.


2018 ◽  
Vol 7 (4.38) ◽  
pp. 939
Author(s):  
Nur Atiqah Sia Abdullah ◽  
Hamizah Binti Anuar

Facebook and Twitter are the most popular social media platforms among netizen. People are now more aggressive to express their opinions, perceptions, and emotions through social media platforms. These massive data provide great value for the data analyst to understand patterns and emotions related to a certain issue. Mining the data needs techniques and time, therefore data visualization becomes trending in representing these types of information. This paper aims to review data visualization studies that involved data from social media postings. Past literature used node-link diagram, node-link tree, directed graph, line graph, heatmap, and stream graph to represent the data collected from the social media platforms. An analysis by comparing the social media data types, representation, and data visualization techniques is carried out based on the previous studies. This paper critically discussed the comparison and provides a suggestion for the suitability of data visualization based on the type of social media data in hand.      


Journalism ◽  
2019 ◽  
pp. 146488491987032 ◽  
Author(s):  
Shixin Ivy Zhang

Inspired by the concepts of Arrested War and actor–network theory, this study has traced and analyzed four main actors in the wars and conflicts in the social media age: social media platform, the mainstream news organizations, online users, and social media content. These four human and nonhuman actors associate, interact, and negotiate with each other in the social media network surrounding specific issues. Based on the case study of Sino-Indian border crisis in 2017, the central argument is that social media is playing an enabling role in contemporary wars and conflicts. Both professional media outlets and web users employ the functionalities of social media platforms to set, counter-set, or expand the public agenda. Social media platform embodies a web of technological and human complexities with different actors, factors, interests, and relations. These actor-networks and the macro social-political context are influential in the mediatization of conflict in the social media era.


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.


2016 ◽  
Vol 10 (4) ◽  
pp. 305-320 ◽  
Author(s):  
Mujde Yuksel ◽  
Lauren I. Labrecque

Purpose This paper aims to focus its inquiries on the parasocial interactions (PSI) and relationships (PSR) consumers form with personae in online social media communities. The authors extend the marketing literature on parasocial interaction/relationship beyond brands by focusing on personal social media accounts (public student-athletes). Design/methodology/approach The authors adopt a grounded theory methodology (Glaser and Strauss, 2009) triangulating observational netnographic data (Kozinets, 2010) of 49 public student-athlete accounts on Twitter (34,500 tweets) with in-depth interviews. The findings emphasize that PSI/PSR occur not only from interactions with brands but also through personal accounts on social media platforms. Findings The investigation reveals that through such social media platforms, PSI/PSR influence consumers cognitively, affectively and behaviorally. In terms of cognition, the data suggest that PSI/PSR can influence opinion, interests, attention allocation and construction of relations, specifically through the availability of in-depth knowledge about the social media persona. Additionally, the research findings indicate that affect-laden messages from persona can alter emotion and mood, induce empathetic reactions and trigger inspiration, especially in relation to the shared interest of the online community of the social media account. Behaviorally, the findings suggest that personas’ messages can direct and inspire both online and offline actions through endorsed behavioral parasocial interactions. Research limitations/implications This research focused on one specific social media platform, Twitter. Twitter was specifically chosen, because it is a popular social media platform and allows non-reciprocal relationships. Although the authors feel that the findings would hold for other social media platforms, future research may be conducted to see if there are differences in PSI/PSR development on different types of networks. Additionally, the authors focused on a specific type of personal account, student-athletes. Future research may wish to extend beyond this population to other personal social media accounts, such as fashion bloggers, diy bloggers and others. Originality/value This research reveals that PSI/PSR can occur not only from interactions with brands but also through personal accounts on social media platforms. The findings give support for the value of brand spokespersons and brand ambassadors and suggest that brands should take careful consideration into who is chosen to represent the brand.


SAWERIGADING ◽  
2019 ◽  
Vol 25 (2) ◽  
pp. 107
Author(s):  
Muhammad Darwis ◽  
Kamsinah Kamsinah

AbstrakThe aim of this research is: (1) to identify the forms and categories of Indonesian words that are absorbed into Buginese sentences and (2) to reveal the reasons for the use of Indonesian elements into Buginese sentences by Facebookers in the social media. Data on this qualitative research obtained from social media ‘Facebook’. The data source of this research is the Facebookers who are members of the MABBASA UUGIE KU PESBU’ group, November 2013 to April 2014 edition. Data analyzed are Buginese sentences consisting of three to five examples of Buginese sentences containing Indonesian elements in the form of words, phrases or clauses taken purposively. Furthermore, the analysis was carried out with grounded research strategies. The results of this research indicate that (1) Buginese language can survive as a means of communication within Buginese ethnic groups when writing on the social media ‘Facebook’, due to they have obtained vocabulary contributions from Indonesian in the form of the basic word, affixation word, and phrase. In word categorization, the loan words consist of nouns, verbs, adjectives, and conjunctions. Then, (2) the use of the Indonesian language elements has four main reasons, namely (a) filling in the blanks, (b) adding equivalence variations, (c) clarifying the meaning, and (d) interference. Reasons (a) to (c) can take the form of code-mixing and code-switching. AbstrakPenelitian ini bertujuan: (1) mengidentifikasi bentuk dan kategori kata bahasa Indonesia (bI) yang  terserap ke dalam kalimat-kalimat bahasa Bugis (bB) dan (2) mengungkap alasan-alasan penggunaan unsur-unsur bI tersebut ke dalam kalimat bB oleh para Facebooker di media sosial. Data penelitian kualitatif ini diperoleh dari media sosial Facebook. Sumber data penelitian ini ialah para Facebooker yang menjadi anggota grup MABBASA UUGIE KU PESBU’ edisi bulan November 2013 s.d. bulan April 2014. Data yang dianalisis ialah kalimat-kalimat ber-bB yang terdiri atas tiga sampai lima contoh kalimat ber-bB yang berisi unsur-unsur bI, yang berupa kata, frasa, atau klausa, yang diambil secara purposif. Selanjutnya, analisis dilakukan dengan upaya grounded research. Hasil penelitian ini menunjukkan bahwa (1) bB dapat bertahan hidup sebagai sarana perhubungan intern suku Bugis dalam komunikasi tulisan sosial Facebook karena memperoleh sumbangan kosakata bI yang berbentuk kata dasar, kata berimbuhan, dan frasa atau ungkapan. Dari segi kategorisasi kata, unsur-unsur serapan tersebut terdiri atas kata benda, kata kerja, kata sifat, dan kata sambung. Kemudian, (2) penggunaan unsur-unsur bI tersebut memiliki empat alasan utama, yaitu (a) mengisi kekosongan, (b) menambah variasi kesepadanan, (c) memperjelas pemaknaan, dan (d) interferensi. Alasan (a) sampai dengan (c) dapat mengambil bentuk campur kode dan alih kode.   


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