scholarly journals Anxiety, alienation, and estrangement in the context of social media

2021 ◽  
pp. 1-12
Author(s):  
Emily Qureshi-Hurst
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Communication Studies ◽  
Emotional States ◽  
Social Approval ◽  
Modern Life ◽  
Human Predicament ◽  
Photo Editing ◽  
To Receive

Abstract This article applies Paul Tillich's existentialist analysis of the human predicament, particularly what it means to exist and to be fallen, to social media. I argue that social media heightens feelings of alienation and estrangement, supporting this claim with evidence from empirical research in psychiatry and communication studies. Thus, I offer an application of a Tillichian approach to an area of culture previously unexamined in this way. I identify three primary ways in which social media exacerbates existentialist emotional states: (1) social media allows us to construct artificial versions of ourselves through the use of filters and photo editing software; (2) it provides the means to quantify social approval in groups the size of which the human brain has not evolved for; (3) it extends the size of our social networks but decreases the quality of interactions. Social media is yet to receive significant philosophical or theological engagement despite its prevalence, particularly within younger generations. I argue that this is a mistake – philosophy has a duty to engage with such a ubiquitous feature of modern life.

Communication in social networks of St. Petersburg as a means of adaptation of ethnocultural communities

Litera ◽  
2021 ◽  
pp. 38-55
Author(s):  
Rivaa Mukhammad Salem Alsalibi
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Ethnic Communities ◽  
Sense Of Security ◽  
The Social ◽  
The Subject ◽  
Development Prospects

The subject of this research is the specifics, forms and functions of interaction in social media groups between the representatives of ethnic communities. The goal consists in determination of the role of social networks in adaptation of ethnocultural communities of St. Petersburg. The research is based on the polling technique for acquisition of information on the cognitive, emotional, and behavioral state of a person. The survey was conducted via distribution of questionnaires among the representatives of ethnic groups. The article also employs the method of systematic scientific observation over the social media groups, topic raised therein, as well as reading and analysis of the comments. The scientific novelty of this work consists in outlining of the nature, trends and development prospects of cross-cultural communications as the channel for ethnocultural interaction.  The main conclusions, which touch upon users from various ethnic communities who do not have enough experience in organization of activity of social media groups, demonstrate that it causes the loss of the sense of security, accumulation of prejudices and escalation of interethnic conflicts, as well as preference of the with restricted access, which contributes to lock down of the group and impedes adaptation in the accepting society. Stabilization of situation can be achieved by improvement of the quality of content posted in the social media, as well as level of their administration.

scholarly journals Fenomena Aplikasi Pengolah Foto Digital pada Ponsel Pintar di Masyarakat Kota

Humaniora ◽  
2015 ◽  
Vol 6 (1) ◽  
pp. 59
Author(s):  
Hendri Hartono ◽  
Dominikus Nunnun Bonafix
Keyword(s):  
Social Media ◽  
Modern Society ◽  
Digital Photography ◽  
Mobile Media ◽  
Operational System ◽  
Smartphone Technology ◽  
Photo Editing ◽  
Or Applications

Digital photography has recently developed rapidly. Apart from the development of film media to digital, digital itself develops significantly, especially in media aspect which a camera nowadays is not only used for taking pictures, but also can be implanted in other media, for instance smartphones or tablets. It is very common that mobiles have built-in cameras. The quality of image offered is getting better. The development of smartphone technology has reached to a certain capability to run an operational system as it is in computer media so that there are a lot of softwares or applications created. One of them is an application for photo editing. Photo editing applications in smartphones are created because of the development of applications in social media which is rapidly developed in mobile media. Social media has recently been a need for city people, in the fast and modern society. Social media is a media for interaction. One form of the interactions is photography which many applications in social media offering sharing photos fast and easily so that city people can update any or all activities or through photos which are uploaded in social media. Photo editing applications in smartphones eventually become the most downloaded applications. Therefore, people have more options to try or use various photo editing applications offering instant photo editing to suit their wish. 

scholarly journals Marketing Digital: O Poder Das Redes Sociais Na Venda De Produtos Educacionais / Digital Marketing: The Power of Social Media in Selling Educational Products

2021 ◽  
Vol 15 (57) ◽  
pp. 577-588
Author(s):  
Daniel Bezerra da Silva ◽  
Joana Dar’c Moreira Pimenta ◽  
Maria Zilvanir Pinheiro ◽  
Raimundo Edilberto Moreira Lopes
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Cell Phones ◽  
Digital Marketing ◽  
Quality Of Services ◽  
The Internet ◽  
Knowing That ◽  
Internet Users ◽  
The Subject

Resumo – Este artigo tem como objetivo refletir sobre o poder das redes sociais na venda de produtos educacionais, sabendo que o universo tecnológico se faz a cada dia mais presente na sociedade. Assim, aumentando o vínculo de empresa e cliente. Inicialmente foram realizadas pesquisas e análises em diversas fontes de literatura sobre marketing digital e redes sociais. Tais ações foram necessárias para um aprofundamento teórico sobre a temática. Após as análises literárias, foram elaborados questionários e aplicados em forma de entrevista, coletando assim, informações através do público alvo. A entrevista foi aplicada através de links do Google formulários onde realizou-se uma análise da utilização do uso das tecnologias e quais suas estratégias utilizadas no marketing para vender de forma rápida e satisfatória para seus clientes. Foram entrevistadas quatro empresas bem conceituadas na área educacional, todas elas utilizam a internet como fonte de venda assim promovendo as mesmas e suas mercadorias. Ainda existem dificuldades no marketing digital, muitos ainda não o utilizam de forma correta e positiva pois é algo inovador que precisa sempre está de acordo com a necessidade do cliente, construindo uma relação fortalecida buscando o maior número de atrações fazendo com que as conheça e se relacione bem alavancando os negócios. Hoje o marketing digital é uma das maiores modalidades do comercio devido ao grande número de usuários da internet. Afinal, o mesmo é feito não só por computadores e celulares mais por um conjunto de pessoas e ações que buscam a melhoria e a qualidade de serviços para seus negócios. Palavras-Chave: Tecnologias. Vendas. Consumidores. Abstract:This article aims to reflect on the power of social networks in the sale of educational products, knowing that the technological universe is increasingly present in society. Thus, increasing the bond between company and customer. Initially, research and analysis were carried out in various sources of literature on digital marketing and social media. Such actions were necessary for a theoretical deepening on the subject. After the literary analyses, questionnaires were developed and applied in the form of an interview, thus collecting information from the target audience. The interview was applied through links from Google forms where an analysis of the use of the use of technologies was carried out and what are their strategies used in marketing to sell quickly and satisfactorily to their customers. Four reputable companies in the educational area were interviewed, all of which use the internet as a source of sales, thus promoting themselves and their goods. There are still difficulties in digital marketing, many still do not use it correctly and positively because it is something innovative that always needs to be in line with the customer's needs, building a strengthened relationship seeking the greatest number of attractions, making them know them and get to know them. relate well leveraging the business. Today, digital marketing is one of the biggest forms of commerce due to the large number of internet users. After all, the same is done not only for computers and cell phones, but also for a group of people and actions that seek to improve the quality of services for their businesses.Keywords: Technologies. Sales. Consumers.

USING OF LSTM NETWORKS IN SENTIMENT ANALYSIS OF DOCUMENTS IN KAZAKH LANGUAGE

2020 ◽  
Vol 69 (1) ◽  
pp. 366-370
Author(s):  
N.K. Kadyrbek ◽  
◽  
М.Е. Mansurova ◽  
М.Е. Kyrgyzbayeva ◽  
◽  
...  
Keyword(s):  
Neural Network ◽  
Social Networks ◽  
Social Media ◽  
Sentiment Analysis ◽  
Mobile Phones ◽  
User Reviews ◽  
Average Value ◽  
First Case ◽  
The Neural Network

Due to the growing trust in information in social media resources, interest in the field of sentiment analysis is growing. Because sentiment analysis is one of the main technologies for monitoring the opinions of millions of users of social networks. The article discusses the use of LSTM networks in the analysis of the tonality of texts in the Kazakh language. For training the neural network, 1000 user reviews of mobile phones were used. The experiments were carried out in two ways: in the first case, preprocessing of the analyzed reviews was carried out, in the second case, the preprocessing was not carried out. The average value of the metric for assessing the quality of the pre-processed model reached 80%. This indicator is 11% higher than for a model trained on data without preprocessing. The results of the study allowed us to conclude that the preprocessing of the texts improves the quality of the model.

scholarly journals A Systematic Review of Predicting Elections Based on Social Media Data: Research Challenges and Future Directions

2021 ◽  
Vol 9 (10) ◽  
pp. 1410-1440
Author(s):  
T Heena Fayaz
Keyword(s):  
Machine Learning ◽  
Systematic Review ◽  
Social Networks ◽  
Social Media ◽  
Future Research ◽  
Learning Approaches ◽  
Electoral Campaigns ◽  
Regression Methods ◽  
New Research

Abstract: The way politicians communicate with the electorateand run electoral campaigns was reshaped by the emergence and popularization of contemporary social media (SM), such as Facebook, Twitter, and Instagram social networks (SN). Due to inherent capabilities of SM, such as the large amount of available data accessed in real time, a new research subject has emerged, focusing on using SM data to predict election outcomes. Despite many studies conducted in the last decade, results are very controversial, and many times challenged. In this context, this work aims to investigate and summarize how research on predicting elections based on SM data has evolved since its beginning, to outline the state of both the art and the practice,and to identify research opportunities within this field. In termsof method, we performed a systematic literature review analyzingthe quantity and quality of publications, the electoral context of studies, the main approaches to and characteristics of the successful studies, as well as their main strengths and challenges, and compared our results with previous reviews. We identified and analyzed 83 relevant studies, and the challenges were identified in many areas such as process, sampling, modeling, performance evaluation and scientific rigor. Main findings include the low success of the most-used approach, namely volume and sentiment analysis on Twitter, and the better results with new approaches, such as regression methods trained with traditional polls. Finally, a vision of future research on integrating advances on process definitions, modeling, and evaluation is also discussed, pointing out, among others, the need for better investigating the application of state-of-art machine learning approaches. Index Terms: Elections, Social Media, Social Networks, Machine Learning, Systematic Review

Exploring #nofilter Images When a Filter Has Been Used

2017 ◽  
Vol 9 (1) ◽  
pp. 54-63 ◽  
Author(s):  
Sara Santarossa ◽  
Paige Coyne ◽  
Sarah J Woodruff
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Mixed Methods ◽  
Text Analysis ◽  
Descriptive Analysis ◽  
Content Category ◽  
Mixed Methods Approach ◽  
Coding Scheme ◽  
Photo Editing ◽  
To Receive

Many social media users rely on photo editing techniques in order to receive more positive attention (i.e., likes/comments) online. This study used a mixed methods approach to conduct a descriptive analysis of #nofilter use by Instagram users. By using #nofilter users are making a point that they did not edit/manipulate their images. Of particular interest were those who used #nofilter but did filter their images. A text analysis of 18,366 images was conducted using Netlytic, reveling the largest content category as ‘appearance'. A content analysis was used to examine authors of #nofilter images whom did use a filter, and photo-coding scheme for this group of images was implemented. Of 18,366 images collected that used #nofilter, 12% (N=1630) did in fact use a filter. Listwise deletions were conducted and 1344 images remained. Results suggest the majority of accounts were personal, and belonged to females and of the images, majority had people in them. People using #nofilter do in fact filter their images and research into the reasons for deceit on social media is needed.

scholarly journals Are Social Media Data Pushing Overtourism? The Case of Barcelona and Chinese Tourists

2019 ◽  
Vol 11 (12) ◽  
pp. 3356 ◽  
Author(s):  
Alonso-Almeida ◽  
Borrajo-Millán ◽  
Yi
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Local Population ◽  
Travel Behaviour ◽  
Social Media Data ◽  
Large Numbers ◽  
Tourism Sector ◽  
Chinese Tourists ◽  
Media Data

Overtourism spoils the good economic and social results produced by the tourism sector, causing reductions in the quality of service of the tourist destination and rejection by the local population. Previous literature has suggested that social networks and new electronic channels could be accelerators of the process of overcrowding destinations; however, this link has not been established. For this reason, in this exploratory study, the influence of social networks on overtourism is analysed using Barcelona as a base, as Barcelona is a massively popular destination in the country that is second in the world in reception of tourists to Spain. This study is also focused on Chinese tourism, which brings large numbers of tourists and presents great economic potential. Two types of study have been used: big data techniques applied to social media with sentimental analysis, and analysis of travel packages offered in China to travel to Spain. Relevant results are obtained to understand the influence of social networks on the travel behaviour of tourists, possible contributions to overtourism, and recommendations for the management of tourism.

scholarly journals Fundamental Power of Social Media Interactions for Building a Brand and Customer Relations

2021 ◽  
Vol 16 (5) ◽  
pp. 1702-1717
Author(s):  
Ionica Oncioiu ◽  
Sorinel Căpușneanu ◽  
Dan Ioan Topor ◽  
Attila Szora Tamaș ◽  
Alina-Georgiana Solomon ◽  
...  
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Customer Loyalty ◽  
Customer Relations ◽  
Online Communication ◽  
Online Questionnaire ◽  
Interactive Communication ◽  
High Level

The spread of social networks and the high level of penetration of digital content and mobile devices have created a society in which consumers expect constant communication from companies. In addition, communication on social media is often accompanied by the hope of being able to interact on an equal footing. In this way, companies hope that the use of social networks will not only increase sales, but also increase attention, brand page traffic, and customer loyalty. The purpose of this study was to provide the grounds for identifying the correlations between the interactive potential of social media based on dialogue-oriented communication and the quality of relationships with online customers. To achieve this goal, an online questionnaire was used in which 604 respondents from Romania participated (204 social media managers and 400 online customers). The results of the study showed that it is particularly important for companies to understand the role of interactive communication in social media and to thus build a bridge between the orientation of communication towards dialogue and relationships with online customers. It was found that the correct use of social networks could also support the achievement of public relation (PR) objectives. In addition, this study has implications for the development of customer-oriented online communication strategies by Romanian companies.

scholarly journals How People Express Grief by Sharing Photographs on Social Networks: A Comparative Study between Italy and the United States of America

2021 ◽  
Author(s):  
Illene Cupit ◽  
Paolo Sapelli ◽  
Ines Testoni
Keyword(s):  
United States ◽  
Social Networks ◽  
Social Media ◽  
Content Analysis ◽  
United States Of America ◽  
The United States ◽  
Continuing Bonds ◽  
Key Issues ◽  
To Receive ◽  
The U.S

Abstract: As innovative way to express grief, social media posts about the deceased have become fairly common. However, few studies examined grief photos commonly posted. The purpose of the present study was to examine such pictures, as well as the motivation and reactions of those who posted, among Italians and Americans. Surveys were sent to both Italian and U.S. participants. The U.S. group yielded 262 responses (Mean age = 22 years; 81% female), the Italian yielded 51 (Mean age = 32. Several key issues emerged, such as the need to receive empathic support from other users, the desire to maintain continuing bonds, the wish to remember the deceased, and the desire to share beauty and symbolic pictures. The images were analyzed using content analysis. Both samples posted photos to remember and to enhance their posts. A strong preference for pictures with a positive emotional connotation appeared, depicting the deceased in a conjoint appearance with the participant. Results suggest that imagery used for the expression of grief in social media sites, an “iconography of grief,” is a popular means of expression for grievers.

scholarly journals PRINCIPLES OF SEARCHING AND SORTING OPTIMIZATION IN SOCIAL NETWORKS USING A MULTI-FACTOR ASSESSMENT SYSTEM

2019 ◽  
Vol 1 (92) ◽  
pp. 47-51
Author(s):  
Maksim V. Shopynskyi ◽  
N. V. Golian ◽  
I. V. Afanasieva
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Assessment System ◽  
Combined System ◽  
Social Media Data ◽  
Advantages And Disadvantages ◽  
Active Research ◽  
Social Entities ◽  
Media Data

The analysis of social networks, which focuses on the relationship between social entities today is an area of active research. It is a set of tools for research, in particular, in combination with artificial intelligence methods such as machine learning, deep learning. The paper examined the current quality of the assessment of information in social networks, analyzed the methods of searching and sorting information in various social networks, as well as the process of providing recommendations to users. Social media data is an inexhaustible source of research and business opportunities. In general, social media data is information gathered from social networks that shows how users interact with content. Methods of improving search results for personalizing recommendations in social networks are given. These indicators and statistics provide an effective understanding of the strategy of behavior in social networks. The advantages and disadvantages of a multifactor assessment system are considered. The possible ways of integrating the combined system of evaluating information elements by the user to optimize search queries and filtering big data are identified.

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