Twitter como herramienta de difusión deportiva: la representación de las deportistas (Twitter as a sports dissemination tool: the representation of female athletes)

Twitter se ha convertido en un nuevo canal de comunicación en el que se comparte gran cantidad de información deportiva, sobre todo, entre las personas más jóvenes. Jóvenes que forman su identidad de género a través de los mensajes que reciben, por lo tanto, se considera de suma importancia analizar cómo son representadas las mujeres en los medios deportivos en España en sus cuentas de Twitter. ¿Refuerzan los estereotipos o comunican desde una perspectiva igualitaria? A través de una metodología cualitativa se analizan las imágenes publicadas sobre mujeres durante 6 meses (marzo a agosto de 2016), en cuatro medios deportivos españoles (@ElPaís_Deportes, @ABC_Deportes, @Marca y @MundoDeportivo). Los resultados muestran cómo los estereotipos y la objetivización de las mujeres se están trasladando de las mujeres deportistas a las no deportistas. En definitiva, la desigualdad se mantiene en Twitter, aunque de forma más encubierta influyendo en la percepción que tiene la sociedad sobre los roles de género en el deporte y la importancia de las deportistas en la sociedad actual. Abstract. Twitter has become a new communication channel in which a large amount of sports information is shared, especially among younger people. Younger generations form their gender identity through the messages they receive, therefore, it is of utmost importance to analyse how women are being represented within the Spanish sports media Twitter accounts. Do they reinforce stereotypes or do they communicate from an egalitarian perspective? Through a qualitative methodology, the images published about women during 6 months (March to August 2016), of four Spanish sports media accounts (@ElPaís_Deportes, @ABC_Deportes, @Marca and @MundoDeportivo) are analysed. The results show how stereotypes and objectification of women are moving from female athletes to non-athletes. Ultimately, inequality remains on Twitter, although in a more covert way, influencing society's perception of gender roles in sport and the importance of female athletes in today's society.

Quality Evaluation Model for Smart City Social Sports Information Cloud Service

With the continuous development of social economy, social sport is more and more valued and favored by the people as a universal and nationwide sport, but it should be noted that social sport involves a wide range of aspects, but due to its particularity, it is also constrained by economic development. In view of these needs and limitations, three technical methods of entropy method, RSR (rank-sum ratio), and TOPSIS are introduced, to sort out the development of social sports, national physical development, social sports guidance, and the number of people to be measured in various places based on the relevant technologies of smart cities in this paper, realize the application analysis of social sports in the public service level. This paper aims to provide a scientific evaluation and evaluation method for social sports information cloud services. The results of simulation experiments show that the evaluation of social sports information cloud service quality based on smart cities is effective, and the comprehensive application of methods can be implemented perfectly, and the further promotion and popularization of social sports services can be realized.

Implementation of Snow and Ice Sports Health and Sports Information Collection System Based on Internet of Things

The promotion of ice and snow sports not only provides professional athletes for the Winter Olympics but also acts as appreciative mass bases for ice and snow sports. The appearance of ice and snow sports will bring a new consumption pattern and develop a new ice and snow industry. In this paper, an Internet of Things (IoT)-based sports information collection system which is specifically designed and developed for the healthcare domain specifically in the snow and ice sports is proposed. The physiological parameters such as body temperature, ECG, blood pressure, blood sugar, and blood oxygen saturation are captured through various monitoring devices. These physiological parameters are transmitted to the mobile device by the wireless module and mobile device that receives and displays these physiological parameters. A complete hardware design of the whole ice and snow sports health and sports information acquisition system, which is based on the Internet of Things, is given, and then, there is the overall design scheme of the system, such as adopted modular design for the system, attitude measurement unit, UWB positioning unit, data storage, and communication unit, respectively. The measurement results of the professional medical equipment are compared with those of acquisition equipment in real environment of ice and sports. These results have verified accuracy of data collected by acquisition equipment and meet the design requirements of the proposed system.

Urban Public Sports Information-Sharing Technology Based on Internet of Things

With the continuous development of social economy, sports has become one of the important ways of physical exercise, and the demand for corresponding sports facilities is also increasing. The Internet of Things technology is introduced in this paper. Through combining the current status of urban public sports, an urban public sports sharing system is built by trial, to promote the sharing of urban public sports information through the continuous development of new technologies such as the Internet and improve the publicity and popularization of public sports information. Simulation experiments prove that the Internet of Things technology is effective and can effectively support the sharing of urban public sports information.

Sports Information Acquisition and Functional Training System Based on Multisensor Information Fusion

Since entering the 21st century, multisensor information fusion technology has developed rapidly, and multisensor information fusion is a trend in the coming years and even decades. This article is aimed at studying how the traditional sports information acquisition and functional training system can be implemented under the multisensor information fusion. This article proposes the use of multisensor information fusion technology to conduct an in-depth study on the traditional ways of acquiring sports information and the cognition of sports information by different groups of people, as well as the use of multisensor information fusion technology to update the functional training system and discuss whether this new functional training system is in line with the speed and rhythm of the current era compared with the traditional training system. The results of obtaining sports information from different groups of people show that more people know about sports events at home and abroad, reaching 22.5%. Under the same circumstances, 60% of the elderly are willing to pay attention to sports information, while only 30% of the young people are willing to pay attention to sports information. And from 2016 to 2021, the number of people in functional training nationwide has increased from 200,000 to 1.5 million.

Physical Training Information System of College Sports Based on Big Data Mobile Terminal

The development of information technology is changing all walks of life. People’s health problem is more and more prominent; people begin to talk about the reform of college sports training. Sports no longer rely on individual games, but on the comprehensive strength of science and technology competition. The fierce competition for Olympic gold medal in modern competitive sports is largely due to the competition of scientific and technological strength of various countries. China has also conducted a lot of research on sports information and made some achievements. Through the investigation, we know that, at present, the provincial level sports teams have established the relevant sports training information management system, which is very effective. The latest scientific and technological achievements are combined with sports to establish the university sports information system. The purpose of this paper is to analyze the university sports physical training information system based on big data mobile terminal, study the big data embedded system, improve the effect of sports skills training, and meet the social demand for high skilled sports talents. This paper uses the literature method, experimental investigation method, and big data spectral clustering algorithm-related experiments to study the advantages of big data and uses the value of big data and embedded system model to study the university sports physical fitness training information system based on big data mobile terminal. The results show that 40.6% of college students spend more time in physical exercise, based on the application of big data embedded system in college sports training; it is of great significance to arrange sports training methods to improve students’ sports training performance.

Recognition of fake news in sports

This report examines the phenomenon of “fake news” and the influence which disinformation has in the contemporary sports information space. The problem, regarding their wide spread in the contemporary information space and their gradual transition from political life to the world of sports, leads to the necessity of defining and classifying fake news in the sports information space in order to offer a mechanism for their recognition and a practical tool supporting this activity. In the age of fake news, sports stars need security and real connections with the media to improve their performance. With the help of the literary analysis of the specialized sources, examples of disinformation in sports stories have been found, and consequently definitions of fake news, propaganda and disinformation have been proposed. After a review of specialized sources, a classification of ten types of fake news in sports has been made, giving real examples from the lives of Bulgarian athletes. Hence, a simplified seven-step algorithm has been developed to support users' critical thinking and decision-making when evaluating news in the media space. As a result of the proposed classification of “fake news” in sports and the created algorithm, a practical online tool has been created which would help the analysis of given information and the recognition of signs of fake news in online sports media. The tool has been created with the help of the HTML programming language HTML in the form of a webpage which is accessible from anywhere in the world. It is a set of applications that identify all types of fake content in the contemporary information space. This tool can be used to improve the security of athletes and even their game performance.