scholarly journals Freedom of Expression in Digital Age: An Analysis of Twitter in Context of Pak-China Relationship

2020 ◽  
Vol V (IV) ◽  
pp. 217-227
Author(s):  
Nadia Saleem ◽  
Farasat Rasool

This article is aimed to provide an analysis regarding the freedom of expression on Twitter in the digital age. Freedom of expression in the digital age is the capability of an individual through which they are able to express their beliefs, thoughts, ideas and emotions on various issues via different social media platforms that are free from governmental censorship. These freedoms play a significant role, as now, each individual can have his/her own perspectives and school of thoughts; and can live his/her life as per own choice. The present study is a discourse analysis of the Pak-China relations debate as top trend hashtags on Twitter in 2020. The data was collected through Mozdeh Big Data Software. The top twenty tweets with the highest likes in seven trending hashtags have been studied as per Searle's Speech Act Analysis. The study shows that how Twitter as a social media platform provides a forum of free debate for everyone.

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Kiran Chaudhary ◽  
Mansaf Alam ◽  
Mabrook S. Al-Rakhami ◽  
Abdu Gumaei

AbstractSocial media is popular in our society right now. People are using social media platforms to purchase various products. We collected the data from various social media platforms. We analyzed the data for prediction of the consumer behavior on the social media platform. We considered the consumer data from Facebook, Twitter, Linked In and YouTube, Instagram, and Pinterest, etc. There are diverse and high-speed, high volume data which are coming from social media platform, so we used predictive big data analytics. In this paper, we have used the concept of big data technology to process data and analyze it to predict consumer behavior on social media. We have analyzed consumer behavior on social media platforms based on some parameters and criteria. We analyzed the consumer perception, attitude towards the social media platform. To get good quality of result, we pre-process data using various data pre-processing to detect outlier, noises, error, and duplicate record. We developed mathematical modeling using machine learning to predict consumer behavior on the social media platform. This model is a predictive model for predicting consumer behavior on the social media platform. 80% of data are used for training purposes and 20% for testing.


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.


2018 ◽  
Vol 39 (9) ◽  
pp. 1019-1032 ◽  
Author(s):  
Apoorve Nayyar ◽  
Jihane Jadi ◽  
Roja Garimella ◽  
Stephen Tyler Elkins-Williams ◽  
Kristalyn K Gallagher ◽  
...  

Abstract Background Social media has become an indispensable tool for patients to learn about aesthetic surgery. Currently, procedure-specific patient preferences for social media platforms and content are unknown. Objectives The authors sought to evaluate social media preferences of patients seeking aesthetic surgery. Methods We utilized a choice-based conjoint analysis survey to analyze the preferences of patients seeking 3 common aesthetic procedures: breast augmentation (BA), facial rejuvenation (FR), and combined breast/abdominal surgery (BAB). Participants were asked to choose among social media platforms (Facebook, Twitter, Instagram, Snapchat, Pinterest, Tumblr, YouTube), information extent (basic, moderate, comprehensive), delivery mechanism (prerecorded video, live video, photographs, text description), messenger (surgeon, nurse/clinic staff, patient), and option for interactivity (yes/no). The survey was administered using an Internet crowdsourcing service (Amazon Mechanical Turk). Results A total of 647 participants were recruited: 201 in BA, 255 in FR, and 191 in BAB. Among attributes surveyed, participants in all 3 groups (BA, FR, BAB) valued social media platform as the most important (30.9%, 33.1%, 31.4%), followed by information extent (23.1%, 22.9%, 21.6%), delivery mechanism (18.9%, 17.4%, 18%), messenger (16%, 17%, 17.2%), and interactivity (11.1%, 9.8%, 11.8%). Within these attributes, Facebook ranked as the preferred platform, with comprehensive information extent, live video as the delivery mechanism, and surgeon as the messenger as most preferred. Conclusions The choice of social media platform is the most important factor for patients, and they indicated a preference for comprehensive information delivered by the surgeon via live video on Facebook. Our study elucidates social media usage in common aesthetic populations, which can help improve aesthetic patient outreach.


2021 ◽  
Vol 13 (1) ◽  
pp. 45-59
Author(s):  
Abdullah J. Sultan

The main objective of this research is to investigate usage behaviors of different age groups across popular social-media platforms and show what usage behavior is mostly utilized in each social media platform. A sample of 2,883 social media users was used to run a series of t-tests to support the research hypotheses. The findings show that young users (compared with old users) are more likely to use social media platforms for social and personal needs. In addition, across platform analyses indicate that users of WhatsApp (compared with Snapchat and Instagram) are more likely to use the platform for socially integrative needs (e.g., connecting with friends and family and talking), while Instagram and Snapchat users are more likely to use the platforms for affective needs (e.g., entertaining), personally integrative needs (e.g., enhancing self-expression and getting to know new people), tension release (e.g., escaping from boredom), and cognitive needs (e.g., seeking information). A more detailed analysis of age groups across the platforms are further discussed.


foresight ◽  
2019 ◽  
Vol 22 (3) ◽  
pp. 331-350
Author(s):  
Akwesi Assensoh-Kodua

Purpose Social media has become a “thing” not just for its historical purpose of socialisation, but a multi-faceted platform of unpredictable possibilities. With the current high levels of actual usage, business on the platform has assumed different styles and has become one of the competing activities on this platform, creating a dilemma for the future. However, as social beings, we can manage such capricious adventure by means of research, to predict the possible destination before we are taken by surprise. One of such medium of studies is through the philosophies of the continuance intention theories. To this end, the purpose of this paper was to investigated some antecedents of social media that are capable of predicting the direction of this platform to test this theory of continuance intention, and the results from the predictive Smart PLS3 shows that the continuance intention for business on this platform will overtake socialisation to offer the biggest market among the elitist class in the near future, and not China, Nigeria or the NYSE. Design/methodology/approach This paper uses Predictive Smart PLS3 to analyse the continuance intention of social media platforms. Findings Predictive Smart PLS3 shows that the continuance intention for business on social media platform will overtake socialisation to offer the biggest market. Research limitations/implications The questions asked in this study focussed on buyers and not platform managers. As the continuance intention depends on the latter as well, it would have been better if their opinions were also sought to determine what will make them continue to provide social media. Originality/value This paper is among the first to do such a study.


2018 ◽  
Vol 30 (4) ◽  
pp. 2075-2092 ◽  
Author(s):  
Jing Ge ◽  
Ulrike Gretzel

Purpose This paper aims to develop a taxonomy of value co-creation types occurring in firm-customer interactions on social media. Design/methodology/approach In total, 570 destination marketing organization (DMO)-initiated posts on Weibo and 3,137 responses were collected to develop a taxonomy by conducting qualitative empirical-to-conceptual analysis. To apply the taxonomy through conceptual-to-empirical analysis, 100 DMO-initiated posts and 823 responses were collected. Findings The communication-focused value co-creation taxonomy shows a variety of co-creators, verbal and non-verbal communicative co-creation actions facilitated by social media, and different co-created value types. Research limitations/implications This study used a single social media platform and selected three DMOs’ Weibo accounts. Future research should focus on other types of firms and different social media platforms. Practical implications This study used a single social media platform and selected three DMOs’ Weibo accounts. Future research should focus on other types of firms and different social media platforms. Originality/value This study enriches the tourism literature and the general marketing literature by examining value co-creation from a communication perspective and provides a comprehensive classification of value co-creation opportunities on social media.


2018 ◽  
Vol 7 (2.12) ◽  
pp. 312
Author(s):  
Jae Woo Choi ◽  
Hye YoungKim

Background/Objectives: With evolving trends, tourism is also experiencing more diverse policies and methods of promotion. In particular, with the development and increasing popularity of social media platforms, a new trend is setting in. In line with such changes, the current study sets out to utilize big data on social media platforms to analyze trends in tourism, ways in which tourism elements mutually interact, and analyze patterns, in order to propose tourism promotion strategies and provide related basic data.Methods/Statistical analysis: Analysis on social media platforms were conducted to visually express relationship among nodes and analyze the structure and status of link in quantitative terms. NodeXL is an add-in program to Microsoft Excel; it allows the user to directly collect data from social media platforms to execute matrics, statistics, and visualization. The data was collected from Korea Tourism Organization (KTO)’s Twitter and Facebook accounts. Hashtags (#) on 3,200 posts on the Twitter account were analyzed to compute the tourism trend, and the inter-node interactions and links on the Facebook fan pages were analyzed in terms of network density and centrality to calculate the form and characteristics of social media networks.Findings: By analyzing social media pages that represent promotional efforts for Korean tourism, we were able to find the following results: On the KTO Twitter account, the higher hashtag terms were “eating tour,” and “exciting travel,” which follow the recent tourism trends. However, because of platform restrictions, the Twitter account, rather than engaging in mutual interactions with its users, only tended to deliver information, and was unable to reflect more diverse tourism trends. On Facebook, 348 nodes were actively linked 14.99 times on average, indicating a healthy level of activity. Average degrees of connection was 2.214, which is smaller than average connection distance of small societies, indicating efficient mutual interaction. There were three core user groups, with eleven individuals serving as media nodes, and six users with Eigenvector centrality.Improvements/Applications: Tourism promotion must be executed in line with diverse and latest trends in the field. Because Facebook has a higher level of mutual interaction than Twitter, the account holder can maximize the promotional effects by utilizing individuals that serve as the centrality node. That is to say that promotional strategies that take into account the characteristics of individual social media platform are required. 


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.


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.


Author(s):  
Sonali Gaikwad ◽  
Tejashri Borate ◽  
Nandpriya Ashtekar ◽  
Umadevi Lade

Social Media Platforms involve not millions but billions of users around the globe. Interactions on these easily available social media sites like Twitter have a huge impact on people. Nowadays, there is undesirable negative impact for daily life. These hugely used major platforms of communication have now become a great source of dispersing unwanted data and irrelevant information, Twitter being one of the most extravagant social media platform in our times, the topmost popular microblogging services is now used as a weapon to share unethical, unreasonable amount of opinions, media. In this proposed work the dishonouring comments, tweets towards people are categorized into 9 types. The tweets are further classifies into one of these types or non-shaming tweets towards people. Observation says out of the multitude of taking an interested clients who posts remarks on a specific occasion, lions share are probably going to modify the person in question. Moreover, it is not the nonshaming devotee who checks the increment quicker but of shaming in twitter.


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