Predicting the Trends of Social Events on Chinese Social Media

2017 ◽  
Vol 20 (9) ◽  
pp. 533-539 ◽  
Author(s):  
Yang Zhou ◽  
Lei Zhang ◽  
Xiaoqian Liu ◽  
Zhen Zhang ◽  
Shuotian Bai ◽  
...  
Keyword(s):  
Social Media ◽  
Social Events ◽  
Chinese Social Media

Chinese Social Media Platforms and Microblogging in the Context of Public Diplomacy

Communicology ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 167-179
Author(s):  
E.S. Nadezhkina
Keyword(s):  
Social Media ◽  
Public Opinion ◽  
Public Diplomacy ◽  
User Generated Content ◽  
The Internet ◽  
Interactive Communication ◽  
Network Interaction ◽  
Social Media Platforms ◽  
The Right ◽  
Chinese Social Media

The term “digital public diplomacy” that appeared in the 21st century owes much to the emergence and development of the concept of Web 2.0 (interactive communication on the Internet). The principle of network interaction, in which the system becomes better with an increase in the number of users and the creation of user-generated content, made it possible to create social media platforms where news and entertainment content is created and moderated by the user. Such platforms have become an expression of the opinions of various groups of people in many countries of the world, including China. The Chinese segment of the Internet is “closed”, and many popular Western services are blocked in it. Studying the structure of Chinese social media platforms and microblogging, as well as analyzing targeted content is necessary to understand China’s public opinion, choose the right message channels and receive feedback for promoting the country’s public diplomacy. This paper reveals the main Chinese social media platforms and microblogging and provides the assessment of their popularity, as well as possibility of analyzing China’s public opinion based on “listening” to social media platforms and microblogging.

scholarly journals Uncovering the low-profile #MeToo movement: Towards a discursive politics of empowerment on Chinese social media

2021 ◽  
pp. 205943642110314
Author(s):  
Xiao Han
Keyword(s):  
Social Media ◽  
Meaning Making ◽  
Chinese Context ◽  
Feminist Politics ◽  
Low Profile ◽  
Potential Possibility ◽  
Collective Reading ◽  
Discursive Politics ◽  
Nuanced Understanding ◽  
Chinese Social Media

In China, a few posts related to #MeToo movement survived and remained online well after its peak and the state’s response in July 2018. This article proposes a theoretical framework that pays attention to discursive meaning-making and employs a broad notion of empowerment, referred to as ‘empowerment through discourse’, in order to offer a more nuanced understanding of the low-profile #MeToo movement in the Chinese context. This framework is used to analyse a corpus of uncensored #MeToo material, which appeared on Chinese social media. This article combines a discourse analysis of these posts and interviews with feminists from activist collectives to critically examine feminist empowerment by reflecting on survivor/victim narration and storytelling practices, digital media’s capacity to facilitate critical dialogue between witnesses and survivors/victims and activist collectives’ organising role in opening up a dialogic space for collective reading, listening and healing. These reflections lead to broader considerations on how notions of empowerment can spur collective action and structural change. In short, this article demonstrates the potential possibility of discursive change and reflects on this mode of feminist politics as a way to speak to empowerment in the Chinese context.

scholarly journals How Social Media Changes Today’s Marketing Strategies

2020 ◽  
Vol 5 (9) ◽  
pp. 725-736
Author(s):  
Nasr Abdulaziz Murshed
Keyword(s):  
Social Media ◽  
Marketing Strategies ◽  
Target Market ◽  
Full Time ◽  
Positive Information ◽  
Social Events ◽  
Social Penetration ◽  
Shared Information ◽  
The Media ◽  
Awareness Raising

In the past recent years, WhatsApp and WeChat have surprisingly fast growth. Facebook as well became the first social network to reach 1 billion active users every month. The presence of social media is an expectation for brands instead of an exception to the rule. Social events and shared information within your target market will help you understand developments in the industry. The opportunity to expose patterns in business in real time is a potential business intelligence goldmine. The worldwide rate of social penetration reached 49% in 2020, with the highest penetration rates in East Asia and North America. Instagram enables users, through their standards of credibility, authenticity and transparency, to develop themselves. Influencers from social media have a personal recognizable identity, also known as the "true brand" An influencer has tools and values that can motivate many other followers to increase their presence in the media. Even if these leads do not directly buy via social, awareness-raising can lead them to become full-time buyers. The overwhelming majority of users in Instagram are under the age of 30 according to recent Social Media demographics. Marketers face a dilemma: more and more people want businesses to take a social stand, but 79% of CMOs fear that their capacity to attract consumers will be adversely affected. Businesses can mitigate negative emotions by providing positive information to popular social media users. Marketing managers will encourage consumers through tournament and influencer programmers to engage in contact practices so customers can evangelize and encourage their loyalty to the organization through the creation and delivery of user-generated content

scholarly journals Sensing And Detecting Small-Scale Events Using Geosocial Media Data

2021 ◽  
Author(s):  
Shishuo Xu
Keyword(s):  
Social Media ◽  
Event Detection ◽  
Human Movement ◽  
Small Scale ◽  
Type I ◽  
Social Event ◽  
Ground Truth Data ◽  
Social Events ◽  
Social Media Platforms ◽  
Media Data

<div>Small-scale events involve interactive human movement in limited space and time. Social media platforms possibly generate large amount of geospatially-referenced information related to small-scale events. It benefits individuals, management departments, and urban systems if small-scale events can be timely detected from social media platforms, where measuring the abnormal patterns of human movement to discover events and analyzing associated texts to interpret the reasons behind abnormal movement are two keys. Through investigating how people move as different events occur and measuring the patterns on social media platforms, small-scale events can be generally classified into two types, namely type I events with abrupt patterns and type II events with random occurrence of key factors, where social events and traffic events are representative correspondingly.</div><div>Despite many studies have been conducted to detect social events and traffic events using geosocial media data, there still are some un-answered questions requiring further research. Most existing studies did not identify occurring events from a full coverage of spatial, temporal, and semantic perspectives. Studies concerning social event detection lack efficient semantic analysis summarizing event content to infer the reasons driving the abnormal movement. The typical classification-based method regarding traffic event detection lacks investigation on how the spatiotemporal distribution of traffic relevant posts associate with the occurring traffic events, and simply assigns the detected events with predefined categories, missing events that indicate traffic anomalies but go beyond the predetermined categories.<br></div><div>In this thesis, spatial-temporal-semantic approaches are proposed to measure spatiotemporal patterns of posts and users of social media platforms to capture abnormal human movement, and analyze the content of associated posts to mine the reasons driving the movement. A variety of techniques including machine learning, natural language processing, and spatiotemporal analysis are adopted to realize effective detection. Based on one-year Twitter data collected in Toronto, 2014 Toronto International Film Festival and traffic anomaly detection are selected as two case studies to evaluate the performance of proposed approaches. Through comparing with the ground truth data, the result reveals that more than 80% of the detected events do refer to real-world events, which illustrates the feasibility and efficiency of proposed approaches.<br></div><div><br></div><div>Keywords: Small-scale event, Event detection, Geosocial media data, Traffic event, Social event, Twitter, Spatiotemporal clustering<br></div>

Sign in / Sign up

Export Citation Format

Share Document