Digitalization and Information Management Mechanism of Sports Events Based on Multisensor Node Cooperative Perception Model

In the process of developing major sports events, how to guide providers and users to provide and utilize the archives information resources of major sports events and realize the interaction between them is an important problem to be solved urgently in the development of major sports events and the archive service of major sports events. By analyzing the present situation of archive service of major sports events, especially the analysis of the opposite dependent subjects of service providers and users, we can see that the continuous development of archive services for major sports events will inevitably lead to constant changes in user groups and user needs, guided by the theory of information retrieval, knowledge management, and media effect. According to the service model of archive service of major sports events, the archive service model of specific sports events is constructed. In this paper, four kinds of event recommendation models are applied to the collected marathon event data for experiments. Through experimental comparison, the effectiveness of content-based recommendation algorithm technology in the event network data set is verified, and an algorithm model suitable for marathon event recommendation is obtained. Experiments show that the comprehensive event recommendation model based on term frequency–inverse document frequency (TF-IDF) text weight and Race2vec entry sequence has the best recommendation performance on marathon event data set. According to the recommendation target of the event and the characteristics of the event data type, we can choose a single or comprehensive recommendation algorithm to build a model to realize the event recommendation.

Media Framing of COVID-19: A Content Analysis of Nepali Newspapers

The COVID-19 pandemic has spread across the globe, posing a major and alarming public health concern. This has been due, in part, to the increasing number of infected population day by day. Also, media coverage appeared to be one of the influencing factors to the opinion formation of COVID-19 issues. Since the whole world is still reeling under the effect of COVID-19 pandemic. At this juncture, the content and tone of the newspaper is still unknown. Therefore, the paper tries to assess critically about the media effect in reporting of the COVID-19 pandemic. This study has a significant practical relevance during this period. Furthermore, the study contributes to scientific knowledge about the use of frames and tones in media coverage with regard to pandemic. For this purpose and use of a content analysis, two popular Nepalese English language newspapers; The Kathmandu Post (privately owned media) and The Rising Nepal (state-owned media) has been selected purposively. The content and tone of the media coverage with regard to the pandemic from May 2020 until the end of July 2020 was investigated. The results showed that the media coverage was most frequently done in terms of economic crisis rather than covering the pandemic as a health crisis. Furthermore, the tone of the media coverage of the pandemic is more negative in the privately owned media than the state-owned media. However, both the newspapers have covered the majority of articles through the economic framing rather than health.

The Commuting Behavior Evolution in Suburban Express Line after Operation: Based on Multi-Source Space-Time Big Data

Virtual Reality news (VR news) provides news reports relying on virtual reality technology, creating a strong sense of immersion and presence. It is a new format of news and a new application for immersive media. Previous researches studies on VR news mainly focus on the range of topics and the media effect, and point out the advantages and disadvantages of them. However, the content of VR news is usually neglected. This research aims to conduct a content analysis on the VR news from CCTV.com by applying the framing theory. The coding scheme is designed based on Zang Guoren’s three-level structures theory, analyzing 220 pieces of news in total. According to the objective data obtained through the analysis, the conclusion is drawn on significant features about VR news, including theme, source, tendency, narrative structure, multimodal presentation, and framework. This research has theoretical significance for it applies the framework theory to analyze the VR news, and also provides inspiration for the production of VR news and the media industry.

Impact of media coverage on a fractional-order SIR epidemic model

In this work, we formulated and analyzed a fractional-order epidemic model of infectious disease (such as SARS, 2019-nCoV and COVID-19) concerning media effect. The model is based on classical susceptible-infected-recovered (SIR) model. Basic properties regarding positivity, boundedness and non-negative solutions are discussed. Basic reproduction number [Formula: see text] of the system has been calculated using next-generation matrix method and it is seen that the disease-free equilibrium is locally as well as globally asymptotically stable if [Formula: see text], otherwise unstable. The existence of endemic equilibrium point is established using the Lambert W function. The condition for global stability has been derived. Numerical simulation suggests that fractional order and media have a large effect on our system dynamics. When media impact is stronger enough, our fractional-order system stabilizes the oscillation.

Does Influencers Popularity Actually Matter? An Experimental Investigation of the Effect of Influencers on Body Satisfaction and Mood Among Young Chinese Females: The Case of RED (Xiaohongshu)

Many studies have linked idealized body image on social media to negative psychological well-being among young females. However, social media influencers’ imagery has not attracted much research attention in either the Western or the Asian context. This study aimed to experimentally investigate the impact of high versus low popular social media influencer images on young Chinese females’ body satisfaction and mood. The participants were 420 female RED users (aged 18–35) who were randomly assigned to three groups: (1) the influencer-high group (idealized imagery alongside high engagement metrics); (2) the influencer-low group (the same idealized imagery adjusted for low engagement metrics); or (3) a control set of nature images. The results revealed that the groups exposed to influencer imagery had lower body satisfaction and more negative mood than the control group (nature images). Notably, this comparison showed no significant difference between the low-influencer and high-influencer groups in body satisfaction and mood. Additionally, this effect was moderated by individuals’ self-discrepancy between personal ideals and their own bodies. That is, exposure to idealized body images does not always produce harmful effects. For those with lower self-discrepancy, idealized body posts somewhat positively affected their body satisfaction. The current research contributes to the media effect literature by providing critical new insights into the study of body image in the context of China.

Algorithmic or Human Source? Examining Relative Hostile Media Effect With a Transformer-Based Framework

The relative hostile media effect suggests that partisans tend to perceive the bias of slanted news differently depending on whether the news is slanted in favor of or against their sides. To explore the effect of an algorithmic vs. human source on hostile media perceptions, this study conducts a 3 (author attribution: human, algorithm, or human-assisted algorithm) x 3 (news attitude: pro-issue, neutral, or anti-issue) mixed factorial design online experiment (<em>N</em> = 511). This study uses a transformer-based adversarial network to auto-generate comparable news headlines. The framework was trained with a dataset of 364,986 news stories from 22 mainstream media outlets. The results show that the relative hostile media effect occurs when people read news headlines attributed to all types of authors. News attributed to a sole human source is perceived as more credible than news attributed to two algorithm-related sources. For anti-Trump news headlines, there exists an interaction effect between author attribution and issue partisanship while controlling for people’s prior belief in machine heuristics. The difference of hostile media perceptions between the two partisan groups was relatively larger in anti-Trump news headlines compared with pro-Trump news headlines.

Mediating Role of Social Media on Online Shopping Behavior: Smart-PLS Approach

Consumer behaviour and decisions to buy from online retailers were increasingly influenced and changed by social media. Because of the never-ending advances in information technology, online shopping is becoming more popular. Therefore, this study aimed to examine the mediating effect of social media on online shopping behaviour in Nigeria. A cross-sectional study was used, and a simple random sampling procedure was used to select three hundred and eighty (380) online shoppers. Data were analysed using Structural Equation Modelling –Partial Least Square (SEM-PLS). The analysis revealed that advertising had an insignificant effect on online shopping behaviour with a path coefficient (Beta value = 0.11; t value = 1.743; p= 0.082). There is positive relationship between advertising and social media effect (Beta value = 0.787; t value = 34.556; p= 0.000). the proposed relationship between social media effect and Online Shopping Behaviour (=0.378; t-value =5.735; p =0.000) is supported. In contrast, the projected relationship between Trust and Online Shopping Behaviour is (=0.466; t-value =12.817; p =0.000). Lastly, the result revealed there is a strong correlation between Trust and Online Shopping Behaviour.

Preprint - Adolescents’ multi-layered media processing: A panel study on positive and negative perceptions towards ideals and adolescents’ appearance anxiety

An active audience perspective on media effects suggests that viewers are not merely exposed but rather reactive to multiple – and possibly opposing – messages. Studies taking account of idealized and counter-idealized messages simultaneously are, however, lacking. Considering that diverse messages are abundantly present in appearance media, the current study aims to introduce an agentic perspective by focusing on the media-body image association. Results of a three-wave longitudinal survey among 971 early adolescents (Mage = 11.14; SD = 1.13) show that media-focused peer interactions (W1), but not media exposure (W1), were associated with perceived benefits as well as costs for investing in appearance (W2). Polynomial regression analyses pointed out that the association between benefits and costs (i.e., interaction; W2) was curvilinearily related to body image investment (W3). The findings emphasize the variable vulnerability of adolescents to the media effect and the importance of acknowledging multi-layered media messages.