scholarly journals Unplugged

2018 ◽  
Author(s):  
Lea Powell
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Networking ◽  
Real Life ◽  
Positive Influence ◽  
Self Image ◽  
Unrealistic Expectations

This article serves as an explorative piece attempting to investigate social networking norms and their contribution towards increased levels of disengagement and disconnection. After recognizing superficial online trends of interaction within her own social network, the author discloses experiencing feelings of hopelessness. In attempt to explore these feelings and unmask the factors underlying these trends, elements of motivation, privacy, and an individual’s relationship with control are discussed. Themes of expectant accessibility and communication within the realm of technology are explored and compared to real life interactions and experiences, with emphasis on an observed dissonance occurring between them. Notions of social networking's contribution to unrealistic expectations of self-image and worth are addressed to caution the reader against over-embellishment and the risks associated with distorted representations of self. Concluding remarks credit the positive influence of social networking’s impact on society while warranting further investigation from the reader. Readers are encouraged to reflect on the topics in attempt to establish their own healthy, balanced relationship with technology and social media.

scholarly journals La interactividad en medios sociales: un estudio de caso / Social Media Interactivity: a Case Study

2012 ◽  
Vol 1 (2) ◽  
Author(s):  
Joan Francesc Fondevila Gascón ◽  
Ana Beriain
Keyword(s):  
Social Media ◽  
Social Network ◽  
Empirical Study ◽  
Social Networking ◽  
Point Of View ◽  
Redes Sociales ◽  
Psychological Point ◽  
Medios Sociales ◽  
Estudio De Caso

ABSTRACTThe social networking phenomenon starts generating various investigations, but so far none has raised the relationships among users of a social network from the behavioral and psychological point of view. To this end, we have conducted an empirical study based on simulated profiles in Facebook, relevant social network due to the amount of available users and for its IPO. From imaginary profiles, we analyze the types of other Facebook users that are added, which can inspire ecommerce strategies related to digital newspapers.RESUMENEl fenómeno de las redes sociales comienza a generar investigaciones diversas, pero de momento ninguna ha planteado las relaciones entre los usuarios de una red social desde el punto de vista conductual y psicológico. A tal efecto, hemos llevado a cabo un estudio empírico a partir de una simulación de perfiles en Facebook, red social de referencia por la cantidad de usuarios disponibles y por su salida a bolsa. A partir de perfiles imaginarios, analizamos la tipología de otros usuarios de Facebook que se le agregan, lo que puede inspirar estrategias de comercio electrónico vinculadas a los periódicos digitales.

Role of Social Media in Tourism

2015 ◽  
pp. 142-162
Author(s):  
Vipin K. Nadda ◽  
Sumesh Singh Dadwal ◽  
Dirisa Mulindwa ◽  
Rubina Vieira
Keyword(s):  
Social Networks ◽  
Information Technology ◽  
Social Media ◽  
Social Network ◽  
Social Networking ◽  
Web Sites ◽  
User Generated Content ◽  
Major Shift ◽  
Tourism And Hospitality

Revolutionary development in field of communication and information technology have globally opened new avenue of marketing tourism and hospitality products. Major shift in web usage happened when Napster in 1999 released peer-to-peer share media and then with pioneer social networking websites named ‘Six Degrees'. This kind of interactive social web was named as ‘Web 2.0'. It would create openness, community and interaction. Web2. is also known as Social media base. Social media is incudes “all the different kinds of content that form social networks: posts on blogs or forums, photos, audio, videos, links, profiles on social networking web sites, status updates and more”. It allows people to create; upload post and share content easily and share globally. Social media allows the creation and exchange of user-generated content and experiences online. Thus, social media is any kind of information we share with our social network, using social networking web sites and services.

Measuring the Impact of Social Media

2011 ◽  
pp. 24-36 ◽  
Author(s):  
Kimiz Dalkir
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Evaluation Method ◽  
Real Life ◽  
Work Processes ◽  
The Social ◽  
Post Test ◽  
The Impact

This chapter focuses on a method, social network analysis (SNA) that can be used to assess the quantity and quality of connection, communication and collaboration mediated by social tools in an organization. An organization, in the Canadian public sector, is used as a real-life case study to illustrate how SNA can be used in a pre-test/post-test evaluation design to conduct a comparative assessment of methods that can be used before, during and after the implementation of organizational change in work processes. The same evaluation method can be used to assess the impact of introducing new social media such as wikis, expertise locator systems, blogs, Twitter and so on. In other words, while traditional pre-test/post-test designs can be easily applied to social media, the social media tools themselves can be added to the assessment toolkit. Social network analysis in particular is a good candidate to analyze the connections between people and content as well as people with other people.

Nexus Between Social Network, Social Media Use, and Loneliness

2020 ◽  
pp. 228-243
Author(s):  
Md. Aminul Islam ◽  
Bezon Kumar
Keyword(s):  
Social Media ◽  
Social Network ◽  
Correlation Matrix ◽  
Positive Relationship ◽  
Media Use ◽  
Negative Relationship ◽  
Real Life ◽  
Primary Data ◽  
Social Media Use ◽  
Facebook Use

This paper mainly explores how real-life social network and social media use are related to loneliness among university students in Bangladesh. To carry out this paper, primary data and several methods are used. This paper uses Lubben Social Network Scale and UCLA loneliness scale to measure the level of real life social network and loneliness, respectively. Besides Pearson's partial correlation matrix is used to find out the correlation between social network, social media use, and loneliness. The study finds that students are averagely engaged in real-life social network and moderately lonely. The study also finds a significantly positive relationship between social media (Facebook) use and loneliness, and a significantly negative relationship between real life social network and loneliness. This paper calls for the students to be careful in using social media and be engaged more in real life social network to avoid loneliness.

scholarly journals A Crowdsourcing Based Framework for Sentiment Analysis

2020 ◽  
Vol 16 (4) ◽  
pp. 285-295
Author(s):  
Fatima Zohra Ennaji ◽  
Abdelaziz El Fazziki ◽  
Hasna El Alaoui El Abdallaoui ◽  
Hamada El Kabtane
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Sentiment Analysis ◽  
Real Life ◽  
Data Sources ◽  
Valuable Data ◽  
Analysis Process ◽  
Validity Check ◽  
Online Platforms ◽  
Majority Consensus

As social networking has spread, people started sharing their personal opinions and thoughts widely via these online platforms. The resulting vast valuable data represent a rich source for companies to deduct their products’ reputation from both social media and crowds’ judgments. To exploit this wealth of data, a framework was proposed to collect opinions and rating scores respectively from social media and crowdsourcing platform to perform sentiment analysis, provide insights about a product and give consumers’ tendencies. During the analysis process, a consumer category (strict) is excluded from the process of reaching a majority consensus. To overcome this, a fuzzy clustering is used to compute consumers’ credibility. The key novelty of our approach is the new layer of validity check using a crowdsourcing component that ensures that the results obtained from social media are supported by opinions extracted directly from real-life consumers. Finally, experiments are carried out to validate this model (Twitter and Facebook were used as data sources). The obtained results show that this approach is more efficient and accurate than existing solutions thanks to our two-layer validity check design.

scholarly journals Detect Extreme Sentiments on Social Networks using BERT

2021 ◽  
Author(s):  
Muhammad Luqman Jamil ◽  
Sebastião Pais ◽  
João Cordeiro ◽  
Gaël Dias
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Public Opinion ◽  
Social Network ◽  
Social Networking ◽  
Online Social Networking ◽  
Social Media Data ◽  
Preceding Work ◽  
Unsupervised Approach ◽  
Media Data

Abstract Online social networking platforms allow people to freely express their ideas, opinions, and emotions negatively or positively. Previous studies have examined user’s sentiments on these platforms to study their behaviour in different contexts and purposes. The mechanism of collecting public opinion information has attracted researchers to automatically classify the polarity of public opinions based on the use of concise language in messages, such as tweets, by analyzing social media data. In this paper, we extend the preceding work [1], by proposing an unsupervised approach to automatically detect extreme opinions/posts in social networks. We have evaluated our performance on five different social network and media datasets. In this work, we use the semi-supervised approach BERT to check the accuracy of our classified dataset. The latter task shows that, in these datasets, posts that were previously classified as negative or positive are, in fact, extremely negative or positive in many cases.

scholarly journals Public Trolling Detection on Twitter Using Machine Learning

2021 ◽  
Vol 9 (VII) ◽  
pp. 3097-3100
Author(s):  
Miss. Pooja Dilip Dhotre
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Social Network ◽  
Social Networking ◽  
Social Networking Sites ◽  
Machine Learning Algorithms ◽  
The People ◽  
The World ◽  
Added Benefit ◽  
Current Popularity

Social media websites are among the internet's most far-reaching digital sites. Billions of social network users exist Users' frequent interactions with social networking sites, like Twitter, have a widespread and sometimes unfortunate effect on day-to-day life. Social networking sites make it easy for large amounts of unwanted and unrelated information to spread around the world. Twitter is a popular micro blogging service where users connect with others with similar interests. Because of the current popularity of Twitter, it is vulnerable to public shaming. Recently, Twitter has emerged as a rich source of human-generated information, with the added benefit of connecting you with customers and enabling two-way communication. It is generally accepted that when someone posts a comment in an occurrence, it is likely to humiliate the victim. The fact that shaming users' follower counts increase faster than that of the people who don't use shame is interesting. Using machine learning algorithms, users will be able to identify disrespectful words, as well as the overall negativity of those words, which is displayed in a percentage.

Social Commerce Using Social Network and E-Commerce

2019 ◽  
pp. 327-338
Author(s):  
Roberto Marmo
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Networking ◽  
Online Shopping ◽  
Social Aspects ◽  
Future Trends ◽  
Social Commerce ◽  
Critical Factors ◽  
The Social ◽  
Online Buying

While traditional e-commerce supports the transactional and informational aspects of online shopping, social commerce fulfils the social aspects of shopping. Combining the advantages offered by social networking and e-commerce, it is possible to create a web business platform to generate and increase revenue by turning web visitors into customers. Social commerce involves social media and user contributions to assist in the online buying and selling of products and services to design and deliver better customer experiences with the help of technology. This chapter compares some technologies that can help define social commerce and social networking; it also discusses background, knowledge, challenges, and critical factors necessary for successful social commerce business. Future trends are illustrated.

Role of Social Media in Tourism

2018 ◽  
pp. 1318-1339
Author(s):  
Vipin K. Nadda ◽  
Sumesh Singh Dadwal ◽  
Dirisa Mulindwa ◽  
Rubina Vieira
Keyword(s):  
Social Networks ◽  
Information Technology ◽  
Social Media ◽  
Social Network ◽  
Social Networking ◽  
Web Sites ◽  
User Generated Content ◽  
Major Shift ◽  
Tourism And Hospitality

Revolutionary development in field of communication and information technology have globally opened new avenue of marketing tourism and hospitality products. Major shift in web usage happened when Napster in 1999 released peer-to-peer share media and then with pioneer social networking websites named ‘Six Degrees'. This kind of interactive social web was named as ‘Web 2.0'. It would create openness, community and interaction. Web2. is also known as Social media base. Social media is incudes “all the different kinds of content that form social networks: posts on blogs or forums, photos, audio, videos, links, profiles on social networking web sites, status updates and more”. It allows people to create; upload post and share content easily and share globally. Social media allows the creation and exchange of user-generated content and experiences online. Thus, social media is any kind of information we share with our social network, using social networking web sites and services.

Social Media as a New Emerging Tool of Marketing

2017 ◽  
pp. 1-10
Author(s):  
Rawan T. Khasawneh
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Social Networking ◽  
Social Networking Sites ◽  
Social Media Marketing ◽  
Network Marketing ◽  
The Third ◽  
Electronic Marketing ◽  
Distinct Features

During the fast growth of social media, the ways companies usually use in their marketing are changed; social networks became a great approach for companies to improve their communication with customers. The wide usage of social networking sites and tools by individuals makes companies want to think carefully on how they can benefit from such usage in rebuilding their relationship with customers and increasing their engagement level. Such companies found that social media marketing is the solution through which companies and their customers will become much closer. This chapter covers three main sections where traditional marketing and electronic marketing concepts are reviewed in the first section. Then a detailed exploration of social networks and their distinct features is presented in the second section. Finally a discussion of social network marketing tools and its related technologies is explored in the third section.

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