Popular Social Networking Research Articles

Feasibility study on collecting patient-reported outcomes from breast cancer patients using the LINE-ePRO system.

Due to the increasing complexity of cancer treatment, ensuring safety and maintaining the quality of life during treatment are important issues. Patient‐reported outcomes (PROs) in oncology are essential for assessing patient symptoms. A feasibility study was undertaken on breast cancer patients by building a PRO data collection system based on LINE, one of the most popular social network service applications in Japan. In this study, one or more predefined PRO questions for each breast cancer patient's clinical situation were sent to the patient’s LINE application daily. The patient selected a predefined answer by tapping the screen, but no free‐text answers were allowed. Seventy‐three patients were enrolled. The median observation period was 435 days (84‐656 days), and the total number of PROs collected was 16,417, with a mean of 224.9 reports per patient. Patients on adjuvant endocrine therapy were notified of 2.5 questions per week, and the median number of responses per week and response rate were 2.387 (1.687‐11.627) and 95.5%, respectively. Analyzing the results by age group, the number of responses from those aged 60 and above was equal to or higher than that of the younger age group. It was also possible to track each patient’s PROs accurately. These results suggested that the design of the system, based on an application used daily, instead of using specifically prepared applications for collecting electronic PROs, was the reason for the favorable acceptance from patients and the satisfactory response rate from all age groups, including the elderly.

Components of the Communication Interaction of the TV Channel with the Audience through the Facebook

<p class="AbstractText"><strong><em>The purpose </em></strong><em>of the work</em><em> is to study the peculiarities of building a strategy of effective interaction between traditional media, including TV channels, and the audience through the tools of the popular social network Facebook.</em><em></em></p><p class="AbstractText"><strong><em>The research methodology</em></strong><em> consists in the use of general scientific methods and special methods: analysis, synthesis, logical method, method of visualization of research results. The analytic-synthetic approach allowed us to realize the key tasks of the research on the interaction of the leading Ukrainian TV channels of national broadcasting with their TV audience through the tools of the Facebook platform. The specifics of the study led to the widespread use of comparative analysis, which identifies features and patterns of interaction between traditional and new media based on official statistics and empirical studies of rating TV channels of national broadcasting on the social network Facebook.</em></p><p class="AbstractText"><strong><em>Results.</em></strong><em> The study was conducted in several stages. At the first stage of the study, a list of rated Ukrainian national TV channels was identified. These TV channels are in the TOP-10 according to the leading rating agencies BIG DATA UA and the Television Industry Committee and are represented by the National Council of Television and Radio Broadcasting of Ukraine. At the next stage, there was monitoring and content analysis of the official Facebook pages of the rating Ukrainian TV channels to determine the average daily number of posts, reactions, reposts and comments.</em></p><p class="AbstractText"><strong><em>The scientific novelty</em></strong><em> of the work is to establish a regularity presentation of TV content on social media. In artical was found that TV channels do not maintain stability in the frequency of posts. The level of audience interest increases by the content and form of posts, rather than by their frequency. The semantic features of posts that contribute to the development of an effective communication strategy are determined. Significant attention of users is attracted by posts of humorous, resonant, congratulatory themes.</em></p><p class="AbstractText"><strong><em>Practical </em></strong><strong><em>significance. </em></strong><em>The study has both theoretical and applied aspect. Recommendations can be used by broadcasters to build or improve strategies of feedback and interaction with the audience.</em></p><p class="AbstractTitle"><em>Key words: </em><em>Facebook, television, subscribers, posts, rating.</em></p>

Student engagement and authentic language use on WeChat for learning Chinese as a foreign language

In this study, the use of a popular mobile social networking platform (WeChat) is investigated for learning Chinese as a foreign language (CFL) in a beginners’ course at an Australian university. Driven by practical considerations and major issues with previous literature, student engagement and authentic language used in a WeChat class group are investigated. Data was collected through weekly conversation episodes over a semester and from a student survey. Conversation episodes were analysed both quantitatively (by frequencies) and qualitatively (using a discourse approach). The study found that student engagement increased in frequency and complexity towards the end of the semester, and students used Chinese for various authentic purposes in the semi-formal context of class group chats. A microanalysis of transcripts illustrated how the use of Chinese in multilingual and multimodal practices achieved authentic social functions. However, individual differences were observed, and English was frequently used in chats. Recommendations are provided for scaffolding and for utilising different semiotic resources in dynamic group interactions.

N-Most Interesting Location-based Recommender System

The popular and ubiquitous location-based social networks (LBSNs) ap-peal many users for sharing interesting locations with other users. As the collected data (such as users' profiles, location comment, and suggestion) become a lot larger in size, location-based recommender systems require more effective fillters to be able to suggest potentially preferable locations to users. Location recommendation is more difficult and challenging especially if users have few or no check-in histories as a new user. Therefore, instead of depending on users' check-in histories, previous works focused on creating recommended location lists by leveraging the information given by other users who check in locations in each area. However, previous studies took into account only the frequencies of users for creating recommendation lists and have su˙ered from the cold-start problem where new users have few or none histories. As a result, the recommenders hardly suggest any locations matching the users' preference. In this paper, we propose an enhanced location-recommendation approach called N-most interesting location-based recommender system (NILR) to recommend interesting lo-cations for new users. Our approach can be divided into three phases. First, the NILR discovers interesting locations by taking into account both the visiting frequencies and the preferences of users already in the system. Second, a ranking procedure is executed to create a final recommendation list based on two interestingness scores: one obtained from the HITS-based model (as adopted by [1] and [2]) and the other from our proposed method. Finally, we re-filter interesting locations based on the current location of the new user. Experimental results reveal the NIRL can reach better precision, recall, average ranking and NDGC than HITS by 6%, 6%, 30%and 8% for Tokyo and 24%, 30%, 43% and 15% for New York dataset, respectively.

Virtual social capital: features of network and gaming resources in the development of cognitive and educational activities of high school students

Introduction. In the context of digitalization of education, the information and educational environment is actively developing, including formal corporate information resources and communication networks, as well as informal (non-corporate) interaction networks, whose function is performed by popular social networks and instant messengers. The digitalization of education is becoming an important factor in the formation of virtual interaction between the main parties of the educational process, namely, students, their parents and teachers. Virtual social capital is being formed as one of the ways to maintain, develop and structure human social ties in the information society. The purpose of this article is to study the features of the use of social network resources for solving cognitive and educational problems by high school students. Materials and methods: 1) handout survey for 358 students of grades 9-11 of secondary schools, lyceums and gymnasiums in the city of Kirov (Russian Federation); 2) secondary analysis of data from empirical studies on this issue (descriptive analysis). Results. The high involvement of teachers and high school students in popular social networks has been shown: up to 98% of high school students have their personal accounts, every fifth teacher uses social networks for work. Every day, teenagers spend 1 to 3 hours on social networks, regardless of their grade (χ2=3.5, df=6, р=0.74), 1 to 2 hours playing online games. 70% of high school students are subscribed to public pages that help to do homework, one third, to popular science public pages. High school students noted that thanks to computer games they improve their skills in mastering a foreign language, knowledge of basic subjects, and in every tenth case, they developed a desire for self-knowledge. Conclusion. The study showed that virtual social networks and online games perform important auxiliary functions, complementing the information and educational environment of the student: in addition to the communicative and leisure functions, they also perform organizational and information search functions. Social networks are becoming an important part of the virtual social capital of contemporary schoolchildren, as well as other parties to the educational process.

An Adversarial Model of Network Disruption: Maximizing Disagreement and Polarization in Social Networks

The spread of misinformation has increased markedly in recent years, a phenomenon which has been accelerated and amplified by social media such as Facebook and Twitter. While some actors spread misinformation to push a specific agenda, it has also been widely documented that others aim to simply disrupt the network by increasing disagreement and polarization across the network, thereby destabilizing society. Popular social networks are also vulnerable to large-scale attacks. Motivated by this reality, we introduce a simple model of network disruption to capture this phenomenon, where an adversary can take over a limited number of user profiles in a social network with the aim of maximizing disagreement and/or polarization in the network. We investigate this model both theoretically and empirically. We show that the adversary will always change the opinion of a taken-over profile to an extreme in order to maximize disruption. We also prove that an adversary can increase disagreement/polarization at most linearly in the number of user profiles it takes over. Furthermore, we present a detailed empirical study of several natural algorithms for the adversary on both synthetic networks and real world (Reddit and Twitter) data sets. These show that even simple, unsophisticated heuristics, such as targeting centrists, can disrupt a network effectively, causing a large increase in disagreement / polarization. Studying the problem of network disruption through the lens of an adversary thus highlights the severity of the problem.

REGROUPING OF «CENTERS OF POWER» IN THE FIGHT FOR FRENCH ISLAM

The article highlights the issues related to the actual disintegration of the French Council of Muslim worship into separate factions, taking place against the background of the Fifth Republic officials struggle for the transformation of «Islam in France» into «French Islam», which takes into account secular dogmas and values, put legal norms above spiritual, independent from foreign interference. The events leading to the formation at the end of 2021 of the Imam’s National Council, independent of the pro-government Islamic community, are considered. The unicity of the work done by the author lies in an attempt to give a numerical assessment of the «under the control» audience of the main Muslim associations of France, based on the collection of information from open sources, its systematization and calculations to assess those «indicators» that are not widely available, but are able to characterize the specific «weight» of certain significant Muslim associations operating in the country. The author also provides information about the presence of these communities in the information space - the most popular social networks in Europe. The information presented can become a kind of basis for identifying key actors which can influence the dynamics of the processes for resolving the problematic situation of Muslims in the French Republic.

The Effect of Utilization of Social Media Instagram @Nanarfshop on Buying Interest of Fisipol Students University Ekasakti Padang

Social networking sites are one type of virtual communication that helps individuals connect with others. One of the most popular social networking sites and has the most users worldwide is Instagram. Instagram, which was previously only used by users to share personal photos, has now turned into a means of selling online. In addition to communicating with the closest people, Instagram is also an option for selling stalls. Along with the increase in Instagram users in recent years, many Instagram users use it for online shopping. Students as Instagram users shop a lot online such as clothes, pants, shoes and other items. This study was conducted to find out how much influence Instagram @nanarfshop has on the buying interest of Fisipol students, Ekasakti University, Padang. This type of research is descriptive research with a quantitative approach. The sampling technique used is proportional random sampling, namely sampling from all members of the population is carried out randomly without regard to the strata in the population. The sample in this study was 71 people by distributing questionnaires or questionnaires to Fisipol students, Ekasakti University, Padang. The data were analyzed using statistical methods with the help of SPSS (Statistics Product And Service Solutions) Version 22.0 software. This study shows the hypothesis that there is an influence between the Instagram @nanarfshoop social media variable on the buying interest of Fisipol Students, Ekasakti University Padang by 97% and the rest is influenced by other variables by 3% not in this study.

Personality traits and mental health of social networking service users: A cross-sectional exploratory study among Japanese undergraduates

In this study, we investigated personality and mental health variables for users of three popular social networking services (SNS): Twitter, Instagram, and Facebook, among Japanese undergraduate students (N = 1030). Compared to non-users, Twitter users scored significantly lower in extraversion, conscientiousness, openness, and self-esteem, and higher in neuroticism, behavioral inhibition system (BIS) sensitivity, and social comparison orientation. Instagram users scored significantly higher in extraversion, behavioral approach system (BAS) -drive, BAS-reward responsiveness, BAS-fun seeking, narcissism, self-esteem, and subjective happiness, and lower in neuroticism, anxiety, and to a marginal extent, depression. Facebook users scored significantly higher in extraversion, openness, BAS-fun seeking, self-esteem, and to a marginal extent, narcissism. Within SNS users, extraversion, agreeableness, and self-esteem were negatively associated with negative mental health variables, and positively associated with positive mental health variables. Neuroticism was positively associated with negative mental health variables, and negatively associated with positive mental health variables. Further, some associations were found within specific SNS users. Differences in personality and mental health were discussed based on the characteristics of each SNS platform.

User behavior-based and graph-based hybrid approach for detection of Sybil Attack in online social networks

The immense popularity of social networks has rendered them vulnerable to security threats such as Sybil attacks. In Sybil attacks, attackers send several friend requests from fake identities, and some of the genuine users might accept them unknowingly and become victims of Sybil attacks. Once genuine users accept friend requests from Sybil identities, attackers can spam, phish, and conduct other harmful actions in the target networks. Though genuine users have links to Sybil users unknowingly, they do less interaction and have low strength of relationship with them. Thus, the relationship strength measure can be useful to detect a Sybil attack. Considering the relationship strength measure, we propose a behavior-based and graph-based hybrid approach to detect a Sybil attack in Online Social Networks (OSNs). We identify the behavior features, use them to measure the relationship strength, and identify attack edges. We use the graph-based feature(betweenness-centrality) to leverage attack-edge identification and detect Sybil nodes. We have evaluated our scheme using real-world datasets, and experimental results validate the proposed scheme’s effectiveness.

#Instacomparison: Social Comparison and Envy as Correlates of Exposure to Instagram and Cyberbullying Perpetration.

Instagram is a popular social networking site (SNS) among adolescents that allows them to share visual content about their lives quickly and easily, increasing social connection, acceptation, and entertainment among others. Nevertheless, SNS exposure can also lead to negative counterparts such as judgments, envy, social comparison, or cyberbullying perpetration. This research aimed to analyze the possible psychosocial factors associated with Instagram use (i.e., social comparison and envy) that could lead to the perpetration of cyberbullying towards peers. The sample consisted of 254 adolescent students aged between 15 and 18years old (Mage = 15.77, SD = 0.74). The results indicated that high connection time to Instagram, high levels of social comparison, and malicious envy were associated with an increased tendency to carry out cyberbullying perpetration's behaviors. Likewise, the main finding showed that a high connection time to Instagram was associated with increased social comparison, which in turn was associated with malicious envy, and consequently with an increased tendency to carry out cyberbullying perpetration's behaviors. These findings contribute to a better understanding of the psychosocial processes that might precede to perpetrate cyberbullying's behaviors, as well as to promote the development of educational programs intend to encourage the responsible use of SNSs during adolescence.

The Role of Celebrity Endorsements in Breaking Advertising Clutter and reducing Advertising Avoidance on Social Media Networks

In the light of the business environment dominated by marketing noise and advertisements that surround us from every angle, relying on the popularity of social networks has become insufficient to pass advertising messages into the minds of the customers. We live today amid a sea of advertising clutter that undermined the efforts of marketers in conveying their voices to target customers. Besides, technology has given customers greater opportunities to choose the appropriate way to deal with advertising messages, whether by ignoring or blocking them. Therefore, the study sought to reveal the extent of the existence of advertising clutter on social media networks and its relationship to advertising avoidance, and then determine the role that celebrity endorsement can contribute to breaking this clutter and reducing advertising avoidance. The study adopted the quantitative approach in measuring its variables by surveying a large sample of Iraqi social network users, which numbered (837) respondents. The study concluded that advertising clutter on social networks has reached unjustified and unwelcome levels. Moreover, the results confirmed that the celebrity endorsement strategy has a prominent role in penetrating clutter and reducing advertising avoidance.

A novel sampling-based visual topic models with computational intelligence for big social health data clustering.

Twitter is a popular social network for people to share views or opinions on various topics. Many people search for health topics through Twitter; thus, obtaining a vast amount of social health data from Twitter is possible. Topic models are widely used for social health-care data clustering. These models require prior knowledge about the clustering tendency. Determining the number of clusters of given social health data is known as the health cluster tendency. Visual techniques, including visual assessment of the cluster tendency, cosine-based, and multiviewpoint-based cosine similarity features VAT (MVCS-VAT), are used to identify social health cluster tendencies. The recent MVCS-VAT technique is superior to others; however, it is the most expensive technique for big social health data cluster assessment. Thus, this paper aims to enhance the work of the MVCS-VAT using a sampling technique to address the big social health data assessment problem. Experimental is conducted on different health datasets for demonstrating an efficiency of proposed work. Accuracy of social health data clustering is improved at a rate of 5 to 10% in the proposed S-MVCS-VAT when compared to MVCS-VAT. From obtained results, it also proved that the proposed S-MVCS-VAT is a faster and memory efficient for discovering social health data clusters.

Social networks and scientific communication: A Review study

This study aims to emphasize the importance of developing the scientific communication system in line with the successive technological developments. Thus, this theoretical study deals with the concept of scientific communication in regard to various related points. These points are: the elements of communication, the types and forms of scientific communication, the concept of social networks, the emergence and development of social networks, the types of social networks. It also considers the most popular social networking sites, the use of social networks in scientific communication, knowledge of the advantages of using social networks in scientific communication, the obstacles to scientific communication within social networks, ways to overcome these obstacles, the role of free access in developing the process of scientific communication in the digital environment, the role of social networks and the free access usag in supporting scientific communication during the pandemic of Covid-19. Finally, this study found a variety of social networking services that support the process of scientific communication, which must be used, and to overcome any obstacles that may result from the use of these networks.

The Integration of the Technology Acceptance Model and Value-Based Adoption Model to Study the Adoption of E-Learning: The Moderating Role of e-WOM

The Technology Acceptance Model (TAM) has lately been utilized in a number of studies to investigate why people reject or adopt new technologies like mobile commerce or e-learning. However, several studies have found weaknesses in TAM’s ability to predict consumers’ purchase intention behavior. To compensate for TAM’s weaknesses, this study presents a model that integrates all of TAM’s components with the Value-Based Adoption Model (VAM). The perceived benefits and sacrifices were considered to provide a list of the implications for both researchers and e-learning service providers. Furthermore, the moderating role of e-word of mouth was utilized to examine the relationship between attitude, intention, perceived value, and intention toward e-learning, in order to match the current circumstances with the growing popularity of social networks. This study was conducted with a quantitative analysis by using data collected from survey 417 e-learning consumers. Except for perceived fee, which has a negative effect on perceived value, the results demonstrate that all hypotheses of latent correlations in TAM and VAM were strongly significant. Furthermore, attitude and perceived value have a significant role in determining consumer adoption of e-learning. Consumers’ perceived value will be driven by the high and low levels of the moderating influence of e-word of mouth, influencing their intention toward e-learning. Since e-learning is an effective sustainable education system, the result of this study can provide a good solution to facilitate e-learning in current and future conditions.

Мягкая сила ТикТока: соцсеть, которая покорила мир

This article discusses the rise of TikTok, a relatively young but extremely popular Chinese social network for sharing short-form original videos (mostly entertaining). By the end of 2021, TikTok had surpassed the American search engine Google as the most visited website on the Internet. With its billion unique visitors each month, it is the only top 10 website whose parent company (ByteDance) is located outside the U.S. In the article, I analyze the specifics of TikTok’s presence in the Russian segment of the Internet, its gradual politicization, and the problems the platform has faced over the last two years. In 2021, TikTok surpassed VKontakte, the most popular social network in Russia, in terms of time spent using the app. And, although the service had some friction with the Russian authorities, there is still no full-fledged replacement for it. So far, Yappy—the Russian analog for TikTok—does not look like its serious competitor at all. The article covers what concerns the authorities of other countries have about this social network, and how TikTok in general affects Internet culture. I look into the values propagated by TikTok among young people. In the conclusion, I put forward a hypothesis, which requires further study, that TikTok is now a super effective world-scale soft power tool of the People’s Republic of China.

Social networks as a mean for promoting the tourist product in Ukraine

The impact of social networks on the promotion of a tourism product is researched in the article. In our time, when people are trying their best to keep up with everything, it is important to use those tools that facilitate the performance of some tasks. Among such tools are the Internet and social networks. The two most popular social networks – Instagram and YouTube are described. Using IT, it is possible to significantly facilitate the work of tourism enterprises. Online booking systems and travel sites help you arrange a tour without leaving home. It is noted that the main task of enterprises in the tourism industry is the ability to make the client to wish to buy a tour. And in this case, Internet marketing, as well as social networks, are created to be one of the effective tools for promoting the tourist product. It is stated that nowadays there are many different advertising media. Among them there are: mass media, television and radio, outdoor advertising, advertising in transport, etc. It has been identified that advertising in the field of tourist services should cover the peculiarities of the region and country of potential customers, their customs and culture. However, traditional advertising media are losing their popularity every day, because society does not stand still. For a modern traveler, the following components are important: speed and quality, price and the possibility of self-realization. In such cases, leading travel firms should use more effective marketing tools. Іt can be argued that the process of promoting a tourist product in social networks is an effective, but rather complex process that requires special knowledge and skills. It is important to note that social networks have already become a full-fledged platform for conducting business, including tourism. These networks successfully combine functions that are necessary for building effective marketing: accurate target audience; availability and availability of information about potential consumers of services; possibility of communication with clients; simple form of proposal creation. It is determined that speed and ease of access to information are the main advantages of social networks. More and more tourism businesses are using the Internet to increase their profits.

ЛЕКСИЧНІ ЗАПОЗИЧЕННЯ У НЕОЛОГІЧНОМУ ВИМІРІ СУЧАСНОЇФРАНЦУЗЬКОЇМОВИ

The article deals with the state of neologism processes and the dynamics of borrowing in the modern French language for the period 2015-2018, examines the theoretical foundations of the above-mentioned linguistic phenomena and a justified method of researching various aspects of neologisms and the results of the analysis of borrowings. The use of the Néoveille platform made it possible to semi-automatically detect, describe linguistically, and trace the temporal evolution of neologisms from three complementary points of view: temporal, linguistic, and socio-pragmatic. In the temporal aspect, it is important to distinguish three moments in the life of neologisms: appearance, possible distribution and possible lexicalization. Linguistic approach allows to describe formation mechanisms, as well as combinatorial and distributive properties of loanwords. A socio-pragmatic point of view makes it possible to identify the places where neologisms are used. By applying these points of view, a system capable of semi-automatically detecting lexical innovation and tracing its evolution on a large dynamic corpus was modeled. Borrowings make up about 6 % (or 1,429 tokens) of innovations in modern French [3]. About a thousand xenisms should be added to this number, as well as a significant number of other formations from borrowed bases. Over 90 % of these loanwords are of Anglo-American origin, while xenisms show more linguistic diversity. The spheres of human activity that are most open to borrowing are fashion, sports, technology, and the economy, and among the resources, the women's press, Parisian magazines, and the yellow press are the most fruitful. Borrowings, like all neologisms, are more than 75 % hapax or quasi-hapax, or rather neologisms with low or very low diffusion. The appearance of Anglo-American borrowings is explained both by the needs of the nomination and motivated by the prestige of the English language, which in recent decades,especially with the advent of digital communication, has acquired the status of a second integrated language used by the French in private and professional life. English plays the same role for most modern languages. This global lingua franca is an instantly accessible resource for lexical innovation and a provider of productive morphosyntactic patterns, usually of a synthetic nature, actively implemented in French. The study of neologisms of higher frequency shows that the popularity of social networks and some social practices contributed to the emergence of borrowings in many fields. The described parameters made it possible to present cases of diffusion of borrowings, not only through stabilized repetitions, but also to state certain linguistic phenomena, in particular, integration into the morphogrammatic subsystem of the French language.

Evaluate the impacts of researchers in China with a novel indicator framework

Evaluating the impacts of researchers plays a role in identifying impactful researchers, cultivating talents, and promoting talent exchange. Traditional indicators emphasize researchers’ scholarly impacts and rely on bibliometric data, which take a long time to reveal the impacts. With the popularization of social networks, researchers have gone beyond academia and shown their impacts instantly on the general population. Although altmetrics have been proposed to measure the societal impacts of researchers, they show differences across countries and regions. A comprehensive indicator framework for evaluating the impacts of Chinese researchers is lacking. This study proposes a novel indicator framework based on bibliometrics and altmetrics and uses it to evaluate the impacts of researchers in China. Specifically, the proposed framework consists of 2, 3, and 17 first-level, second-level, and third-level indicators, respectively. We conduct a case study with data from various online platforms. Results demonstrate that the indicator framework can evaluate the scholarly and societal impacts of Chinese researchers. The results also show that researchers’ societal impacts are stronger than their scholarly impacts in China. According to the impacts, the indicator framework can categorize researchers into different groups, among which the largest group contains ordinary researchers with mediocre scholarly and societal impacts.

School shootings: уголовно-правовое исследование

The problem of adolescent violence and the cases of violence in the school environment associated with the mortality are of the high-degree urgency and cause a wide public outcry. Mass murders involving firearms, when an attack is committed by the students and the victims are students or school staff, are of particular concern. An important factor influencing the spread of school shooting in Russia is the growth of availability and popularization of social networks among young people. However, the problem is not only in the common availability of the information about the ways of committing the crimes, but in the fact that for many adolescents, such acts of massacre become a way of solution to conflicts with classmates and teachers. The paper reveals the concept of school shooting and specifies its characteristic features. The authors consider school shooting both as a negative social phenomenon and socially-dangerous act violating the norms of criminal law. Based on the study of the most famous cases of armed attacks on educational institutions of Russia and the official statistics data, the authors analyzed their reasons and the specific responsibility measures applied to attackers. As the priority directions of school shooting counteraction, the authors name the restriction of arms in circulation, the improvement of safety in social networks, and the improvement of criminal legislation. Special significance in the struggle with this phenomenon, the authors give to early recognition of forthcoming attacks on educational institutions, especially preventing bullying among the students.