scholarly journals Emotion shapes the diffusion of moralized content in social networks

2017 ◽  
Vol 114 (28) ◽  
pp. 7313-7318 ◽  
Author(s):  
William J. Brady ◽  
Julian A. Wills ◽  
John T. Jost ◽  
Joshua A. Tucker ◽  
Jay J. Van Bavel
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Online Social Networks ◽  
Political Debate ◽  
Political Issues ◽  
Emotional Words ◽  
Social Media Networks ◽  
Political Ideas ◽  
The Social ◽  
Network Methods

Political debate concerning moralized issues is increasingly common in online social networks. However, moral psychology has yet to incorporate the study of social networks to investigate processes by which some moral ideas spread more rapidly or broadly than others. Here, we show that the expression of moral emotion is key for the spread of moral and political ideas in online social networks, a process we call “moral contagion.” Using a large sample of social media communications about three polarizing moral/political issues (n = 563,312), we observed that the presence of moral-emotional words in messages increased their diffusion by a factor of 20% for each additional word. Furthermore, we found that moral contagion was bounded by group membership; moral-emotional language increased diffusion more strongly within liberal and conservative networks, and less between them. Our results highlight the importance of emotion in the social transmission of moral ideas and also demonstrate the utility of social network methods for studying morality. These findings offer insights into how people are exposed to moral and political ideas through social networks, thus expanding models of social influence and group polarization as people become increasingly immersed in social media networks.

Towards a Unified Semantic Model for Online Social Networks to Ensure Interoperability and Aggregation for Analysis

2018 ◽  
pp. 978-1003
Author(s):  
Asmae El Kassiri ◽  
Fatima-Zahra Belouadha
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Online Social Networks ◽  
Semantic Model ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Knowing That ◽  
The Social ◽  
Industrial Projects ◽  
Media Organizations

The Online Social Networks (OSN) have a positive evolution due to the diversity of social media and the increase in the number of users. The revenue of the social media organizations is generated from the analysis of users' profiles and behaviors, knowing that surfers maintain several accounts on different OSNs. To satisfy its users, the social media organizations have initiated projects for ensuring interoperability to allow for users creating other accounts on other OSN using an initial account, and sharing content from one media to others. Believing that the future generations of Internet will be based on the semantic web technologies, multiple academic and industrial projects have emerged with the objective of modeling semantically the OSNs to ensure interoperability or data aggregation and analysis. In this chapter, we present related works and argue the necessity of a unified semantic model (USM) for OSNs; we introduce a kernel of a USM using standard social ontologies to support the principal social media and it can be extended to support other future social media.

Fake News Polarization for Sentiment Analysis

2022 ◽  
pp. 255-263
Author(s):  
Chirag Visani ◽  
Vishal Sorathiya ◽  
Sunil Lavadiya
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Sentiment Analysis ◽  
Online Social Networks ◽  
Opinion Mining ◽  
Easy Access ◽  
The Internet ◽  
Fake News ◽  
Social Media Networks ◽  
Sentiment Mining

The popularity of the internet has increased the use of e-commerce websites and news channels. Fake news has been around for many years, and with the arrival of social media and modern-day news at its peak, easy access to e-platform and exponential growth of the knowledge available on social media networks has made it intricate to differentiate between right and wrong information, which has caused large effects on the offline society already. A crucial goal in improving the trustworthiness of data in online social networks is to spot fake news so the detection of spam news becomes important. For sentiment mining, the authors specialise in leveraging Facebook, Twitter, and Whatsapp, the most prominent microblogging platforms. They illustrate how to assemble a corpus automatically for sentiment analysis and opinion mining. They create a sentiment classifier using the corpus that can classify between fake, real, and neutral opinions in a document.

The Alt-social Network of Natalie Bookchin’s Testament

2016 ◽  
Vol 18 (5) ◽  
pp. 459-477
Author(s):  
Sarah Whitcomb Laiola
Keyword(s):  
Data Mining ◽  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Online Social Networks ◽  
Social Web ◽  
User Interactions ◽  
Media Criticism ◽  
Direct Translation ◽  
The Social

This article addresses issues of user precarity and vulnerability in online social networks. As social media criticism by Jose van Dijck, Felix Stalder, and Geert Lovink describes, the social web is a predatory system that exploits users’ desires for connection. Although accurate, this critical description casts the social web as a zone where users are always already disempowered, so fails to imagine possibilities for users beyond this paradigm. This article examines Natalie Bookchin’s composite video series, Testament, as it mobilizes an alt-(ernative) social network of vernacular video on YouTube. In the first place, the alt-social network works as an iteration of “tactical media” to critically reimagine empowered user-to-user interactions on the social web. In the second place, it obfuscates YouTube’s data-mining functionality, so allows users to socialize online in a way that evades their direct translation into data and the exploitation of their social labor.

scholarly journals Oversharenting and family life

2020 ◽  
Vol 8 (11) ◽  
pp. 155-170
Author(s):  
Renata Soares Martins ◽  
Suely Aparecida do Nascimento Mascarenhas ◽  
Gisele Cristina Resende
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Interpersonal Relationships ◽  
Family Life ◽  
Online Social Networks ◽  
The Internet ◽  
Communications Technology ◽  
The Social ◽  
The Family ◽  
High Degree

This article invites us to reflect on oversharenting and family life that, owing to the proliferation of communications technology and the internet, is intersected by digital cyberculture. The research was carried out on the social network, using the method of searching by hashtag. The results showed that during 2018 in two weeks, 20,781 posts were made using the hashtag “minidiva” and 1,679 with the hashtag “miniblogger”, from which three posts were collected each day. Netnography was used to analyze the images and categorize them: (1) oversharenting and family life, (2) social media and child consumption, (3) child adultization. It was concluded that online social networks (Instagram) are spaces where interpersonal relationships; it was seen that the act of consuming gained relevance in the family and that the child’s exposure occurs without awareness, which can cause a high degree of exposure and consequently have adverse effects for everyone.

scholarly journals Privacy study on images uploaded in social networks

2018 ◽  
Vol 7 (1.7) ◽  
pp. 142
Author(s):  
Hemalatha D ◽  
Almas Begum ◽  
Alex David S
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Mobile Devices ◽  
Public Interest ◽  
Online Social Networks ◽  
Personal Information ◽  
Personal Characteristics ◽  
The Social ◽  
Study Results ◽  
Privacy Settings

Presently, the growth of Social media is explosive among the users. Increasingly developed social websites like Flickr, Facebook, Google+, LinkedIn etc permits the users to create, share and view the post. Confidentiality is a leading factor required in Social Networks. The social users upload their photos to the social sites that intend to gain public interest for social purposes. The exposure of personal information leads to slipping process like identity stealing, morphing etc, which are against the privacy violations. Relied upon the personal characteristics of users, the privacy settings of each user should be defined. In this paper, a relational study about the privacy settings in Online Social structure is examined. Initiated by the importance of social networks among the social users and their behavior towards Online Social Networks, which is followed by the privacy techniques suggested by other researchers are explored. At last, an overview about the merits and demerits of privacy designs and schemes for the user-uploaded images are presented. The study results a new privacy system that controls the confidential information from being accessed from different devices, including mobile devices and computers.

A Study Regarding Human Perception of a Company through Social Media

2019 ◽  
Vol 34 ◽  
pp. 309-314
Author(s):  
Mirona Ana Maria Popescu ◽  
Olivia Doina Negoiță ◽  
Anca Purcărea ◽  
Markus Helfert
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Human Perception ◽  
Social Media Networks ◽  
Online Social Media ◽  
The Social ◽  
Key Indicators ◽  
Different Characteristics ◽  
A Company

Of the utmost importance is finding the social networks that best fit to an industry, a company, its products / services, and last but not least, with the target audience. Each social network has different characteristics and, in addition, a different philosophy.The authors aim to carry out a bibliographic research in this paper to highlight the extent to which social networks are used. As a result, a top of social networks will be built to help raise awareness, promote products, and consolidate a strong customer-company relationship. The authors will also realize a statistical analysis of online social media networks to determine their key indicators, traffic on each platform, time spent by a user on that platform, and other key indicators, through an online tool. The results of this paper consist in presenting two classifications: the first from the perspective of the companies and the second from the perspective of social network users.

scholarly journals Turn Threats into “Treatments”? Social Bots’ Possible Applications in Health Communication during Pandemics

2021 ◽  
Vol 2 (2) ◽  
pp. 281-288
Author(s):  
Zhenling Sun
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Health Communication ◽  
Online Social Networks ◽  
Negative Association ◽  
Study Analysis ◽  
Positive Role ◽  
Political Issues ◽  
Social Media Platforms ◽  
Cyber Space

COVID-19 pandemic is a global Crisis, social media platforms have been a significant site of getting information and arouse discussions. However, social bots have risen on the online social networks, social bots are applications that existing in cyber space merely and they can mimic human users to interact with you following their own logic, there are the features of “Intangible”、“personate” and “automatic”. Evidence suggests that social bots did harm to the Health Communication during COVID-19 pandemic, researchers found that social bots contributed to diffuse political issues stir negative emotions, spread rumor. Social bots often have a negative association, but there are many bots which perform benign tasks. This study analysis the reasons bots performed badly in COVID-19 pandemic first, then discuss about how to turn the “threats” to “treatments”, proving that social bots can act as a positive role in different periods of Health Emergencies.

Deriving Psychodynamics Among Consumers Through Social Media

2018 ◽  
pp. 251-264
Author(s):  
Natasha Patricia Bojorges Moctezuma
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Online Social Networks ◽  
Consumer Behaviour ◽  
The Social ◽  
Research Findings ◽  
Online Consumer ◽  
A Company ◽  
Online Consumer Behaviour

Despite an increasing interest in understanding consumer behaviour through social media, there is paucity of research concerning psychodynamics among consumers derived by online social networks in emerging economies. The aim of this paper is to explore the role of vloggers (video bloggers) as key network performers to derive consumer psychodynamics (consumers' interactions reflected in a company) through social media, specifically YouTube, through the lens of the experiential view and the Social Network Theory. This work will contribute to the extant literature by determining (1) the relevance of the experiential view approach in online social networks' performance, (2) how psychodynamics among consumers are conducted through social media, specifically YouTube, and (3) how key network performers as YouTube's vloggers derive psychodynamics among consumers. Using an inductive approach and grounded theory to analyse the results, the research findings provide a more comprehensive understanding of online consumer behaviour, therefore, yields more valuable information by examining the experiential view in a digital environment.

scholarly journals Social Media Use in Higher Education: A Review

2018 ◽  
Vol 8 (4) ◽  
pp. 194 ◽  
Author(s):  
Georgios Zachos ◽  
Efrosyni-Alkisti Paraskevopoulou-Kollia ◽  
Ioannis Anagnostopoulos
Keyword(s):  
Higher Education ◽  
Social Networks ◽  
Social Media ◽  
Learning Style ◽  
Online Social Networks ◽  
Learning Processes ◽  
Personality Profile ◽  
Educational Processes ◽  
The Social ◽  
Learning Platforms

Nowadays, social networks incessantly influence the lives of young people. Apart from entertainment and informational purposes, social networks have penetrated many fields of educational practices and processes. This review tries to highlight the use of social networks in higher education, as well as points out some factors involved. Moreover, through a literature review of related articles, we aim at providing insights into social network influences with regard to (a) the learning processes (support, educational processes, communication and collaboration enhancement, academic performance) from the side of students and educators; (b) the users’ personality profile and learning style; (c) the social networks as online learning platforms (LMS—learning management system); and (d) their use in higher education. The conclusions reveal positive impacts in all of the above dimensions, thus indicating that the wider future use of online social networks (OSNs) in higher education is quite promising. However, teachers and higher education institutions have not yet been highly activated towards faster online social networks’ (OSN) exploitation in their activities.

scholarly journals Understanding the Users Personal Attributes Similarity Across Online Social Networks

2019 ◽  
Vol 8 (11) ◽  
pp. 3902-3908
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Online Social Networks ◽  
Criminal Behavior ◽  
Personal Information ◽  
Personal Attributes ◽  
The Social ◽  
Media Services ◽  
The Relationship ◽  
Modern Era

In this modern era of technology, everyone accessing the Internet is obsessed with social media. A User accesses different social media services to fulfill his diverse needs. For instance, Instagram is mainly used for sharing personal visual content while Twitter is known for finding latest news and trends, similarly Facebook for personal posts. Such services lead to the distribution of personal information of an Internet user on these platforms. In this paper, we build a framework to discover the relationship among the attributes of a user across the social media.We use different fuzzy string matching algorithms to find the similarities between the attributes. We extract the ‘name’ and ‘username’ from a publicly shared dataset and apply two character based and token based algorithms on these features. The results are indicative of the fact that only a limited number of users share the same name and username across the sites. On further analysis, it is found that although name and username of most of the users do not exactly match, they tend to be similar with the infinitesimal difference like; underscore, period, one digit numbers, etc. This study provides an analysis of the typical variations in names and usernames, which can further be studied for the extension to other social networks This profile will help in behavior analysis of a user, which will further help us to improve recommendations and analyze for criminal behavior and similar applications.

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