Internet Users In China Research Articles

Douyin—— the leading application in short video in the next decade

In recent years, along with the comprehensive innovation of communication technology, new media has also achieved rapid development and gradually penetrated into various fields. According to the 48th Statistical Report on the Development of the Internet in China released by the China Internet Network Information Center, as of June 2021, the number of Internet users in China has reached 1.011 billion, of which 888 million are short video users, accounting for 87.8% of the total Internet users. According to the survey results of the products most commonly used by short video users from 2020 to 2021, Douyin ranked first with 45.2%. As one of the emerging social media, Douyin short video APP is different from the previous simple graphic social, but the combination of music, special effects and video, so as to closely connect users of different ages, industries and identities. Based on this, this paper will discuss the possibility of Douyin platform to achieve fine operation and further expand market share by optimizing user generated content (UGC) model and analyzing the personality and commonality of audience psychology.

Navigating Challenges and Seizing Opportunities in China's Era of Online Health Education.

The rapid growth of internet users in China presents opportunities for advancing the "Healthy China 2030" initiative through online health education. Platforms like "Shanghai Health Cloud" and "National Health Information Platform" improve health literacy and management, enhancing overall public health. However, challenges such as the digital divide and the spread of unverified health information hinder progress. Addressing these issues requires enhancing digital infrastructure, employing advanced technologies for information validation, and setting high standards for online health services. Integrated efforts from various sectors are essential to maximize the benefits of online health education in China.

Analysis of the Dissemination of Popular Science Short Videos in China: Case Study of "Wuqiongxiaoliang's Popular Science Daily"

This article explores the spread of popular science short videos in China using the example of "Wuqiongxiaoliang's popular Science Daily". The article introduces the growth of Internet users in China and the rise of short video platforms, as well as the wide application of short videos in various fields. It also discusses research on science communication, short video communication, and popular science short videos. The aim of this study is to analyze the communication strategy and effect of 'Wuqiongxiaoliang's popular Science Daily' and explore the current problems and future development direction of popular science short videos. The research questions are focused on the account's communication strategy, including the use of humor, personalized portrayals, and expertise to engage viewers. At the same time, it also highlights the problems faced by the account, such as the homogenization of content across multiple platforms and the packaging in the style of a single video. Finally, the direction of future development is suggested, including a deep understanding of user needs, the creation of unique content, a focus on current events and the integration of scientific entertainment. Popular science short videos are expected to continue playing a significant role in science communication in the digital age, provided they meet the challenges and employ innovative communication strategies.

Study on the Influence of Tiktok on the Bridging of The Digital Divide of Zhejiang Residents

China's digital economy is at a stage of rapid development, the digital economy has become an important engine to promote China's economic development, and our society is developing in the direction of digital. While vigorously supporting the development of digital economy, we should also be vigilant about the existence of digital divide, pay attention to the coordination between the two, and strive to bridge the digital divide is imminent. Short video users account for more than 88% of the current Internet users in China, and Tiktok is the top application in the short video industry, which plays a non-negligible role in bridging the digital divide. Therefore, this study takes the influence of Tiktok on the bridging of the digital divide of Zhejiang residents as the research theme, and carries out the design and research of its research program.

Understanding Chinese Internet Users' Perceptions of, and Online Platforms' Compliance with, the Personal Information Protection Law (PIPL)

The Personal Information Protection Law (PIPL) was implemented in November 2021 to safeguard the personal information rights and interests of Internet users in China. However, the impact and existing shortcomings of the PIPL remain unclear, carrying significant implications for policymakers. This study examined privacy policies on 13 online platforms before and after the PIPL. Concurrently, it conducted semi-structured interviews with 30 Chinese Internet users to assess their perceptions of the PIPL. Users were also given tasks to identify non-compliance within the platforms, assessing their ability to address related privacy concerns effectively. The research revealed various instances of non-compliance in post-PIPL privacy policies, especially concerning inadequate risk assessments for sensitive data. Although users identified some non-compliant activities like app eavesdropping, issues related to individual consent proved challenging. Surprisingly, over half of the interviewees believed that the government could access their personal data without explicit consent. Our findings and implications can be valuable for lawmakers, online platforms, users, and future researchers seeking to enhance personal privacy practices both in China and globally.

Digital health literacy and associated factors among internet users from China: a cross-sectional study

BackgroundAs the internet develops and 5G technology becomes increasingly prominent, the internet has become a major source of health-related information. Increasingly, people use the internet to find health-related information, and digital health literacy is now a set of essential capabilities to improve their health in the digital era. However, little is known about the factors that influencing digital health literacy. This study aimed to assess digital health literacy scores and identify its influencing factors among internet users in China. Additionally, this study explored the participant’s actual skills using an additional set of performance-based items from the Digital Health Literacy Instrument (DHLI).MethodsAn online cross-sectional study was conducted in August 2022. Participants aged ≥18 years were recruited to complete the survey. Data were collected using the Chinese revised version of the DHLI, the self-reported internet use questionnaire, and the sociodemographic questionnaire. We conducted multivariate linear regression analyses to explore the relationships among the sociodemographic variables, behavior of internet use, and the digital health literacy scores.ResultsIn total, 702 participants completed the survey. The mean DHLI score was 2.69 ± 0.61. Multivariate linear regression analyses showed that the age groups 35–49 (β = − 0.08, P = 0.033), 50–64 (β = − 0.161, P < 0.001), and ≥ 65 (β = − 0.138, P < 0.001) were negatively associated with DHL scores. However, education level, including bachelor’s or associate degree (β = 0.255, P = 0.002) and master’s degree and above (β = 0.256, P < 0.001), frequency of health-related Internet usage (β = 0.192, P < 0.001), the number of digital devices used (β = 0.129, P = 0.001), and OHISB (β = 0.103, P = 0.006) showed a positive relationship with DHL scores.ConclusionsThe study findings demonstrate that age, educational levels, number of technological devices used, and greater use of the web for health information were independently associated with DHL scores. Healthcare providers should consider providing training programs tailored to specific sociodemographic factors to improve the ability that find and use accurate information online to meet digital health services, which contributes to enhance their self-management and reduce health disparities.

Ways of Governance of Internet Financial Crimes Based on Blockchain Perspective -Taking Virtual Currency Money Laundering Crimes as an Example

Combined with the 47th Statistical Report on the Development Status of the Internet in China issued by the China Internet Information Center, it can be found that by the end of December 2020, the number of Internet users in China has exceeded 989 million, and there are 986 million mobile phone Internet users, and the mobile phone Internet access rate of the nationals has reached 99.7%. The demand for mobile internet applications has led to the development of a large number of internet industries. In the financial sector, for better financial business, many customers use financial trading platforms, but illegal criminals use blockchain technology in the name of virtual currency to carry out illegal fund raising, pyramid selling, money laundering and other criminal activities, involving a large amount of money and a relatively wide audience, which seriously affects China's Internet financial security. Therefore, the only way to ensure the safety of Internet finance is to strengthen the governance of such crimes. In this paper, based on the existing research results on blockchain technology and the governance of virtual currency money laundering crimes in Internet finance crimes, we use interdisciplinary research methods to determine the ways of governance that combine the pre-existing, ex-post and post-existing governance, taking into account the current status of legislation, existing cases, the dilemma of governance, and the existing governance achievements.

Social trust and algorithmic equity: The societal perspectives of users' intention to interact with algorithm recommendation systems

The use of algorithm recommendation systems (ARS), which collect and analyze users' personal data to generate personalized and tailored recommended items, has become widespread in the era of mobile internet. While related literature has focused on privacy issues and trust toward ARS or recommended items, societal aspects such as social trust (toward people and organizations responsible for an algorithm) and algorithmic equity have been overlooked. Drawing on the theory of social trust, we investigate the psychological mechanism between social trust and users' intention to interact with ARS (e.g., click recommended items and continuously use). Based on a survey of young mobile internet users in China, we show that, first, social trust is positively associated with perceived benefits and perceived algorithmic equity, which are further linked to intention to click recommended items and intention to continuously use ARS (i.e., continuance intention). Second, social trust is negatively related to perceived risks, in turn reducing intention to click. Further, algorithm aversion weakens the negative association between social trust and perceived risk. Our study contributes to the ARS literature from the societal aspect, by validating the importance of social trust, demonstrating the key role of perceived algorithmic equity, and examining the trait of algorithm aversion as a moderator in the formation of algorithm-related perceptions. We also offer key practical suggestions for app developers and policymakers, related to algorithmic equity, transparency, and privacy risk of ARS management and regulation.

Analysis of Network Security Awareness Education

With the development of the Internet, the network security problem has become more and more the focus of people's attention, in a variety of network security incidents, netizens generally believe that the weak awareness of network security is the most important reason. According to the results of the network security awareness survey, most netizens are very worried and distrust their own network security awareness. This also means that strengthening the awareness of Internet users' network security has become an important task facing the current Chinese society. This paper analyzes the current situation of the network security awareness of Internet users in China, and puts forward some suggestions on how to improve their network security awareness.

Analyzing the Challenges of Traditional Marketing Concepts of Mengniu Groups in The Internet Era

With the development of the Internet, the number of Internet users in China is also increasing. People are paying more and more attention to the Internet has led to a massive change in the consumption pattern of customers in recent years. It is often said that "food is the key to success." However, in this era of the Internet, many food companies are still using traditional offline marketing, which makes many quality food companies gradually fade out of people's view in order to help some traditional food companies out of the dilemma. This paper stood in the perspective of marketing strategy, using the case study method on the Mengniu Group, a classic food enterprise case from the marketing concept and management strategy analysis. It is concluded that the traditional marketing concepts and management strategies of old food enterprises are outdated and lack precise brand positioning, perfect service management awareness, and a lack of global view and market insight during marketing management. In response to the above problems, the old food companies should insist on product innovation, update their marketing concepts and management strategies, and use online marketing tools reasonably.

Research on the Impact of UGC Quality on Consumers’ Purchase Intention

As the key engine of Internet shopping, online consumer groups in the 5G era has been increasing in recent years, making consumption behavior on Internet a new form of market development. According to the data of China’s Internet Development Status, by 2021, the number of Internet users in China has risen to 1.033 billion, and there are more than 2,000 5G+ industrial network projects under construction, of which the application rate of short video is as high as 90.6%. It can be seen that Internet retail is the current form of market economic development. TikTok, Micro videos, Huoshan short videos, etc. account for half of the short video marketing. The regular operation of the social economy in the face of the COVID-19 outbreak is encouraged by this new form of internet economy, which attracts consumers and encourages purchasing online. This study explains the quality of User-Generated Content (UGC) and examines its impact on consumers’ purchase intentions through a questionnaire poll.

Privacy paradox for location tracking in mobile social networking apps: The perspectives of behavioral reasoning and regulatory focus

Social networking services (SNSs) have been collecting and analyzing users' personal data for the sake of personalization and customization, raising massive privacy concerns. Among the various types of privacy, personal location data are considered most sensitive, but are critical for the location-based features in mobile SNS applications. Drawing on behavioral reasoning theory and accounting for the privacy paradox, this study investigates the heterogeneous psychological mechanisms supporting and discouraging mobile SNS users from enabling location tracking in SNS applications. Based on a survey of young internet users in China, our analysis shows that, first, reasons for location tracking are insignificantly associated with intention to allow location tracking but reasons against are negatively related to intention. Furthermore, for individuals with higher desire to share, reasons for and attitude have the stronger associations with intention, while the moderating effect of desire for privacy is insignificant. We make research contributions by examining the antecedents of the reasoning process, as well as the moderating role of desire to share, to account for the privacy paradox. We also contribute to behavioral reasoning theory by introducing regulatory focus-based antecedents to the reasoning process. We offer key practical suggestions for SNS providers and policymakers.

Ecological Change and Analysis of Public Opinion under Social Media Environment

In the all-media era, new changes have taken place in the dissemination, guidance and influence of public opinion on society. With the wide application of Internet technology and smartphones, the scale of Internet users is also expanding. According to the latest statistics of CNNIC’s 49th report, as of December 2021, the number of Internet users in China has reached 1.032 billion, the network penetration rate has reached 73.0%, and the scale of mobile Internet users has reached 1.029 billion, which means that mobile Internet users account for the vast majority of the total Internet users. At the same time, various mobile apps, such as Weibo and WeChat, are increasingly becoming important ways for people to obtain information and express their views. With the development of social media, the information environment dominated by traditional media has changed, and the environment guided by public opinion is more complex, especially in the “post-truth society”, where emotions have a great influence on the audience’s attitude. Social media has had various impacts on the environment of public opinion, and the rapid development of social media will inevitably have a certain impact on the ecology of public opinion. In view of the rise of social media, the media and the public put forward some thoughts, that is, how to promote the healthy development of public opinion ecology. Public opinion needs the participation of the public, opinion leaders, media and government. Constructing a sound network public opinion guidance system is of great significance to promote the harmonious and stable development of our society from the aspects of creative consciousness, content production and communication quality.

Unpacking the effects of personality traits on algorithmic awareness: The mediating role of previous knowledge and moderating role of internet use

The COVID-19 pandemic has accelerated the integration of algorithms in online platforms to facilitate people’s work and life. Algorithms are increasingly being utilized to tailor the selection and presentation of online content. Users’ awareness of algorithmic curation influences their ability to properly calibrate their reception of online content and interact with it accordingly. However, there has been a lack of research exploring the factors that contribute to users’ algorithmic awareness, especially in the roles of personality traits. In this study, we explore the influence of Big Five personality traits on internet users’ algorithmic awareness of online content and examine the mediating effect of previous knowledge and moderating effect of breadth of internet use in in China during the pandemic era. We adapted the 13-item Algorithmic Media Content Awareness Scale (AMCA-scale) to survey users’ algorithmic awareness of online content in four dimensions. Our data were collected using a survey of a random sample of internet users in China (n = 885). The results of this study supported the moderated mediation model of open-mindedness, previous knowledge, breadth of internet use, and algorithmic awareness. The breadth of internet use was found to be a negative moderator between previous knowledge and algorithmic awareness.

On the Legal Regulation Dilemma of Network Platform Using Big Data to Infringe Citizens' Privacy——From the Perspective of Big Data Murder

With the popularization of computers and smart phones, the number of Internet users in China is increasing, and network technology is also developing. The resulting big data and related technologies have brought a series of economic benefits. However, there are some network platforms that only seek profits and ignore business ethics. They use big data to kill users.There are different opinions on the concept of big data in China. However, there is no doubt that the network platform using big data murder seriously violates the privacy of consumers, and causes consumers to suffer property losses, resulting in adverse social impact.Although there are many laws to protect citizens' privacy in our country, there is still a dilemma of legal regulation for the infringement of citizens' privacy by network platform and the use of big data. The reason is that big data as a new technology, the original law inevitably lags behind; moreover, due to its high technical requirements, ordinary citizens have great difficulties in perception and proof of big data familiarity killing due to information asymmetry.

Financial Analysis of SUNING.COM in China Based on the Harvard Analysis Framework

The number of internet users in China continues to rise and the country has begun promoting e-commerce development since 2011. Various supportive policies have created an ideal environment for the development of e-commerce. Under their combined effect, Chinese e-commerce market has developed rapidly. The COVID-19 pandemic’s impact has compelled retail enterprises that insist on operating offline chain stores to realize the defects of the traditional model and the need to transform to the e-commerce model. SUNING.COM is an enterprise that started its transition to e-commerce earlier than its competitors. It has made certain achievements in e-commerce but also exposed many problems. This paper takes SUNING.COM as the research object, analyzes its problems, proposes countermeasures, and provides a certain reference significance for the development of e-commerce enterprises. Considering the limitations of traditional financial analysis methods, this study adopts the more systematic and rigorous Harvard analysis framework to carry out a detailed analysis from four aspects: strategy, accounting, finance, and prospect. The analysis finds that SUNING.COM has both opportunities and risks, slow inventory turnover, high operational risks, poor solvency, and insufficient profitability. In response to the problem, the suggestions are as follows: First, SUNING.COM should give full play to the advantages of its offline retail stores, build a community-based e-commerce platform, and reshape its own brand image. Second, they should speed up the implementation of corporate projects and accelerate the release of restricted funds. Third, they must optimize the main business structure, eliminate non-essential businesses, and improve the online and offline dual line business model. Fourth, they must optimize the debt structure of enterprises, reduce current liabilities, and reduce the risk of bad debts.

Media exposure, perceived efficacy and positive experience as predictors of personal and social risk perceptions of mishandled vaccine in China

ABSTRACT Informed by social cognitive theory and impersonal impact hypothesis, this study examined the effects of media exposure, perceived efficacy and prior positive experience on risk perception during a risk event concerning mishandled vaccine in China. Through an online survey of 923 Internet users in China, the study explored the effect of media exposure on perceived risk in two dimensions: exposure frequency and exposure extensity, and found that exposure extensity was a significant predictor of personal risk perception, while exposure frequency had a significant effect on social risk perception. Response efficacy negatively predicted perceived social risk, while self-efficacy did not predict perceived personal risk. Prior positive experience moderated the effects of exposure extensity and self-efficacy on perceived personal risk. Prior positive experience also moderated the effects of response efficacy on perceived social risk, but did not moderate the effect of exposure frequency on perceived social risk.

Regional Disparities in Information-Seeking Response to the COVID-19 Pandemic in China

Background: In late December 2019, a newly coronavirus disease, later named as COVID-19, emerged in China. This unknown coronavirus and the subsequent official announcement of human-to-human transmission of COVID-19 alarmed the public and initiated the uptake of preventive measures. However, the manner in which the public responded to these announcements, and whether individuals from different provinces, responded similarly during the COVID-19 pandemic in China, remains unknown. To assess public reactions, we examined search interests during the COVID-19 epidemic in China. This study aimed to investigate how information seeking changed over time and how changes in information seeking varied across regions in China. Methods: We used an interrupted time-series analysis to examine the Baidu Search Index and selected COVID-19 related terms associated with the COVID-19 derived exposure variables. We analyzed the search index daily using segmented log-normal regressions with data from Jan 1, 2017 to Mar 15, 2021, and derived relative risk (RR) estimates representing relative daily changes associated with exposure. Analyses were stratified by the provincial Human Index (HDI)- an area-level measure of socioeconomic status- and were conducted to assess regional heterogeneity in information-seeking responses. Findings: Synchronous increases in COVID-19 related searches on the index were observed in the initial stage of the COVID-19 epidemic in all provinces regardless of the number of confirmed cases. The most precipitous increase occurred in the week following the announcement of human-to-human transmission (Jan 18 to Jan 25 2020), when most provinces had activated their highest level of response to public health emergencies. Search patterns increased more as the HDI level increased, with a 105·8 (95% CI: 99·1-113·0), 123·6 (95% CI: 116·6 -130·9) and 124·3 (95% CI: 115·5-133·8) fold increase in regions with low, middle and high HDI, respectively. Searches on the index began to decline nationwide after the initiation of mass-scale lockdowns and travel restrictions, but statistically significant increases continued to occur in conjunction with the confirmation and report of major sporadic local outbreaks, including the outbreaks in Beijing (June, 2020), Qingdao (October, 2020) and Shijiazhuang (January, 2021). The relative increase in searches on the index was statistically significantly higher in regions with higher HDI in each outbreak. Interpretation: Using search index data of nearly one billion internet users in China, we found that changes in the patterns of search interest in COVID-19 in each province of China occurred in a synchronous fashion during the first wave of the COVID-19 pandemic and at the time of subsequent local outbreaks, irrespective of the location of the epicenter of each outbreak and the variation in pandemic severity across the country. However, inequalities in the magnitude of public response to and awareness of COVID-19 were evident, with lower-levels of information seeking regarding COVDI-19 in less developed areas compared with developed areas.Funding Information: National Natural Science Foundation of China (72074130) Spring Breeze Foundation of Tsinghua University (20203080035)Declaration of Interests: The authors declare no competing interests related to the study.

Research On The Marketing Innovation Of “Live + Short Video” In The Culture And Tourism Industry In We Media Era

With the development of Internet technology and the popularity of 5G technology in mobile terminals, we media has entered the era of “short video + live broadcast” from the era of graphics and text on mobile terminals. The number of users of “live video + short video” app platform has reached 888 million, accounting for 94.5% of the total Internet users in China. In 2020, the sales revenue of all kinds of flat broadcast e-commerce will reach trillion, and cultural and tourism enterprises pay more and more attention to live broadcast We should pay dividends for the development of tourism enterprises, and carry out publicity and marketing of tourism routes and products. Tiktok and Kwai platform are taken as examples to analyze the problems the problems existing in the promotion of “live + short video” by cultural tourism enterprises. At the same time, it puts forward its own views on how to carry out the marketing innovation of “live + short video” in the cultural tourism industry of tourism cities.

Research on the Way of Obtaining Electronic Physical Evidence Based on Python—Take Windows Log Document as an Example

With the popularization of computer technology such as smart phone, cloud computing and so on, high-tech crime is becoming more and more common. However, the number of Internet users in China is large, the number of cybercrime cases is large, the electronic data that need to be collected is many and complex, and the research of electronic data forensics in China is mainly based on technical framework and model establishment, and the hardware development is mainly introduced and cooperated. So that China’s electronic data forensics technology cannot meet the needs. Electronic data evidence and related legal issues, network forensics, mobile intelligent terminal forensics analysis technology, malicious code forensics analysis, cross-platform forensics, data recovery, intelligent association analysis, data depth mining, password cracking and other technical aspects need to be continuously combined. Accordingly, this project aims to carry on the analysis and the application research to the electronic data forensics technology of the network crime case, take the Windows log file as an example, through the reading and analysis of the user system log, we can understand the details of the user computer operating system, the behavior of the application program, the behavior of the user itself and the abnormal events in the system. Then it rebuilds the computer operation scene, monitors the computer system resources, audits the user’s related behavior, carries on the alarm to the suspicious behavior, looks up and determines the scope of the intrusion behavior and so on, provides the evidence source and the key clue for the fight against the computer network crime.