scholarly journals An Analysis of the Themes of Refuting Rumors on China's Sina Weibo During the Period of Covid-19

2021 ◽  
Vol 2 (2) ◽  
pp. 174-179
Author(s):  
Difan Guo

From the end of 2019 to 2020, there were countless rumors on the Internet related to COVID-19 during the viral epidemic. This study analyzed how government Weibo, the official news release channel of government social media, refuted rumors on China's leading social media platform Sina Weibo during the COVID-19 pandemic outbreak in China. This study used the LDA topic model to model the Weibo text topic and obtain the topics of the rumors that the government Weibo defied. This study find that the five main topics of rumors presented in the anti-rumor Weibo are highly related to the operation of the social system, disease prevention and treatment, and social security.  

2020 ◽  
Vol 12 (17) ◽  
pp. 7081 ◽  
Author(s):  
Athapol Ruangkanjanases ◽  
Shu-Ling Hsu ◽  
Yenchun Jim Wu ◽  
Shih-Chih Chen ◽  
Jo-Yu Chang

With the growth of social media communities, people now use this new media to engage in many interrelated activities. As a result, social media communities have grown into popular and interactive platforms among users, consumers and enterprises. In the social media era of high competition, increasing continuance intention towards a specific social media platform could transfer extra benefits to such virtual groups. Based on the expectation-confirmation model (ECM), this research proposed a conceptual framework incorporating social influence and social identity as key determinants of social media continuous usage intention. The research findings of this study highlight that: (1) the social influence view of the group norms and image significantly affects social identity; (2) social identity significantly affects perceived usefulness and confirmation; (3) confirmation has a significant impact on perceived usefulness and satisfaction; (4) perceived usefulness and satisfaction have positive effects on usage continuance intention. The results of this study can serve as a guide to better understand the reasons for and implications of social media usage and adoption.


Author(s):  
Giandomenico Di Domenico ◽  
Annamaria Tuan ◽  
Marco Visentin

AbstractIn the wake of the COVID-19 pandemic, unprecedent amounts of fake news and hoax spread on social media. In particular, conspiracy theories argued on the effect of specific new technologies like 5G and misinformation tarnished the reputation of brands like Huawei. Language plays a crucial role in understanding the motivational determinants of social media users in sharing misinformation, as people extract meaning from information based on their discursive resources and their skillset. In this paper, we analyze textual and non-textual cues from a panel of 4923 tweets containing the hashtags #5G and #Huawei during the first week of May 2020, when several countries were still adopting lockdown measures, to determine whether or not a tweet is retweeted and, if so, how much it is retweeted. Overall, through traditional logistic regression and machine learning, we found different effects of the textual and non-textual cues on the retweeting of a tweet and on its ability to accumulate retweets. In particular, the presence of misinformation plays an interesting role in spreading the tweet on the network. More importantly, the relative influence of the cues suggests that Twitter users actually read a tweet but not necessarily they understand or critically evaluate it before deciding to share it on the social media platform.


Modern Italy ◽  
2015 ◽  
Vol 20 (4) ◽  
pp. 335-349 ◽  
Author(s):  
Pierluigi Erbaggio

Based on Roberto Saviano's book Gomorra (2006), production of the TV series Gomorra – La serie (2014) was met with scepticism as many feared it would glamorise organised crime and, consequently, attract young people toward Camorra affiliation. The series' bleak portrayal of criminals and criminality was offered as a response to such concerns. Despite the preoccupations, Gomorra – La serie was hugely successful and, because of its quality, was sold to other countries. In Italy, the series' success can be measured by the popularity of its Twitter hashtag #GomorraLaSerie. Engaged with Henry Jenkins' theories of media convergence and based on a corpus of tweets bearing this official hashtag, this article proposes a quantitative analysis and advances conclusions regarding the Italian TV audience and second-screen viewing practices. Additionally, through a qualitative study of Saviano's tweets about the series, it examines the writer's use of the social media platform as a tool of narrative continuity. Finally, the article highlights a few examples of fan-generated media and concludes with remarks regarding Saviano's problematic position at the centre of a transmedia object.


2021 ◽  
Vol 11 (2) ◽  
pp. 32-51
Author(s):  
Simran Kaur Madan ◽  
Payal S. Kapoor

The research, based on uses and gratifications theory, identifies consumer motivation and factors that influence consumers' intention to follow brands on the social media platform of Instagram. Accordingly, this study empirically examines the role of need for self-enhancement, the need for entertainment, and deal-seeking behaviour on the intention to follow brands on Instagram. Further, the study investigates the mediation of social media usage behaviour for consumption decisions on eliciting brand following behaviour. Moderation of consumer skepticism on the relationship of deal-seeking behaviour, and intention to follow brands is also investigated. Findings reveal a significant direct effect of need for self-enhancement, need for entertainment, and deal-seeking behaviour on intention to follow brands. Indirect effect of social media usage behaviour for consumption decisions was also significant; however, moderation of consumer skepticism was not found to be significant. The study will help marketers create engaging content that enables consumer-brand interactions.


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.


2020 ◽  
Vol 30 (11n12) ◽  
pp. 1759-1777
Author(s):  
Jialing Liang ◽  
Peiquan Jin ◽  
Lin Mu ◽  
Jie Zhao

With the development of Web 2.0, social media such as Twitter and Sina Weibo have become an essential platform for disseminating hot events. Simultaneously, due to the free policy of microblogging services, users can post user-generated content freely on microblogging platforms. Accordingly, more and more hot events on microblogging platforms have been labeled as spammers. Spammers will not only hurt the healthy development of social media but also introduce many economic and social problems. Therefore, the government and enterprises must distinguish whether a hot event on microblogging platforms is a spammer or is a naturally-developing event. In this paper, we focus on the hot event list on Sina Weibo and collect the relevant microblogs of each hot event to study the detecting methods of spammers. Notably, we develop an integral feature set consisting of user profile, user behavior, and user relationships to reflect various factors affecting the detection of spammers. Then, we employ typical machine learning methods to conduct extensive experiments on detecting spammers. We use a real data set crawled from the most prominent Chinese microblogging platform, Sina Weibo, and evaluate the performance of 10 machine learning models with five sampling methods. The results in terms of various metrics show that the Random Forest model and the over-sampling method achieve the best accuracy in detecting spammers and non-spammers.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Katie Elson Anderson

Purpose This paper aims to provide information and promote discussion around the social media platform TikTok. Design/methodology/approach Research, literature review. Findings Libraries and library and information professionals should be aware of the potential of TikTok for engagement and information sharing. Originality/value Adds to the research on the social media platform TikTok.


2019 ◽  
Vol 13 ◽  
pp. 67-75
Author(s):  
Muhammad Abdullahi Maigari ◽  
Uthman Abdullahi Abdul-Qadir

This paper examines the abduction of the schoolgirls in Chibok Local Government Area of Borno State, Nigeria in 2014. The paper examined how the abduction of the schoolgirls generated responses and support for the rescue of the abducted girls from people and organization from different parts of the globe. The Islamists terrorist organization operating in Borno State has attracted the attention of the world since 2009 when they started attacking government establishments and security installations northeast which later escalated to major cities in Northern Nigeria. Methodologically, the paper utilized secondary sources of data to analyze the phenomenon studied. The paper revealed that the development and innovations in information and communication technology which dismantled traditional and colonial boundaries enabled people to express support, solidarity and assist victims of conflict who resides millions of Kilometers away. This shows that Internet-based communications technology has reduced the distance of time and space that characterised traditional mass media. The campaign for the release of the schoolgirls on the social media platforms particularly Twitter and Facebook has tremendously contributed to the release of some of them. Furthermore, the girls freed from abduction have received proper attention: education and reintegration programmes which enable them to start post-abduction life. In this regard, social media has become a tool for supporting the government in moments of security challenges which the Bring Back Our Girls campaign attracted foreign and domestic assistance to Nigeria in the search of the abducted girls and the fight against the Islamist insurgents.


2016 ◽  
Vol 44 (3) ◽  
pp. 20-26 ◽  
Author(s):  
Kenneth Alan Grossberg

Purpose Delineate the strategic implications for three new marketing trends based on digital technology. Design/methodology/approach The author looks at how strategy is being affected by: Marketing automation, where artificial intelligence is used to help win a customer and optimize the search for such potential prospects. Social media, which blends the personal and the businesslike and provides opportunities for engagement with the client on an almost real-time, personalized basis. The manipulation of huge quantities of “Big Data” to increase the efficiency and effectiveness of marketing automation and of deriving value from social media. Findings Under all emerging digital technology scenarios, the marketer’s job becomes more complex and more central to the interaction between the customers and the corporation. Practical implications Social marketing will increasingly involve co-creation of product and brand story with customers, experienced-based marketing and more sophisticated management of the interface between the social media platform and automated marketing. Originality/value This article identifies the integral relationship between advances in marketing technology and strategic opportunities for marketing innovation.


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.


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