Data-Driven Diffusion Recommendation in Online Social Networks for the Internet of People

2020 ◽  
pp. 1-13
Author(s):  
Diyawu Mumin ◽  
Lei-Lei Shi ◽  
Lu Liu ◽  
John Panneerselvam
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Data Driven ◽  
The Internet

scholarly journals A Data-Driven Framework for Coding the Intent and Extent of Political Tweeting, Disinformation, and Extremism

Information ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 148
Author(s):  
Mahdi Hashemi
Keyword(s):  
Social Networks ◽  
Presidential Election ◽  
Online Social Networks ◽  
Data Driven ◽  
The Political ◽  
Political Affiliation ◽  
News Sources ◽  
The U.S

Disinformation campaigns on online social networks (OSNs) in recent years have underscored democracy’s vulnerability to such operations and the importance of identifying such operations and dissecting their methods, intents, and source. This paper is another milestone in a line of research on political disinformation, propaganda, and extremism on OSNs. A total of 40,000 original Tweets (not re-Tweets or Replies) related to the U.S. 2020 presidential election are collected. The intent, focus, and political affiliation of these political Tweets are determined through multiple discussions and revisions. There are three political affiliations: rightist, leftist, and neutral. A total of 171 different classes of intent or focus are defined for Tweets. A total of 25% of Tweets were left out while defining these classes of intent. The purpose is to assure that the defined classes would be able to cover the intent and focus of unseen Tweets (Tweets that were not used to determine and define these classes) and no new classes would be required. This paper provides these classes, their definition and size, and example Tweets from them. If any information is included in a Tweet, its factuality is verified through valid news sources and articles. If any opinion is included in a Tweet, it is determined that whether or not it is extreme, through multiple discussions and revisions. This paper provides analytics with regard to the political affiliation and intent of Tweets. The results show that disinformation and extreme opinions are more common among rightists Tweets than leftist Tweets. Additionally, Coronavirus pandemic is the topic of almost half of the Tweets, where 25.43% of Tweets express their unhappiness with how Republicans have handled this pandemic.

scholarly journals An Exploratory Study of COVID-19 Information on Twitter in the Greater Region

2021 ◽  
Vol 5 (1) ◽  
pp. 5
Author(s):  
Ninghan Chen ◽  
Zhiqiang Zhong ◽  
Jun Pang
Keyword(s):  
Machine Learning ◽  
Social Networks ◽  
Online Social Networks ◽  
Exploratory Study ◽  
Representation Learning ◽  
Data Driven ◽  
Learning Methods ◽  
Twitter Users ◽  
Over Time

The outbreak of the COVID-19 led to a burst of information in major online social networks (OSNs). Facing this constantly changing situation, OSNs have become an essential platform for people expressing opinions and seeking up-to-the-minute information. Thus, discussions on OSNs may become a reflection of reality. This paper aims to figure out how Twitter users in the Greater Region (GR) and related countries react differently over time through conducting a data-driven exploratory study of COVID-19 information using machine learning and representation learning methods. We find that tweet volume and COVID-19 cases in GR and related countries are correlated, but this correlation only exists in a particular period of the pandemic. Moreover, we plot the changing of topics in each country and region from 22 January 2020 to 5 June 2020, figuring out the main differences between GR and related countries.

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.

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.

Cooperation Among Members of Online Communities

2011 ◽  
Vol 1 (3) ◽  
pp. 1-14
Author(s):  
M. L. Merani ◽  
M. Capetta ◽  
D. Saladino
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Video Streaming ◽  
Online Social Networks ◽  
Peer To Peer ◽  
Critical Conditions ◽  
The Internet ◽  
Performance Improvements ◽  
P2p Video Streaming ◽  
P2p Overlay

Today some of the most popular and successful applications over the Internet are based on Peer-to-Peer (P2P) solutions. Online Social Networks (OSN) represent a stunning phenomenon too, involving communities of unprecedented size, whose members organize their relationships on the basis of social or professional friendship. This work deals with a P2P video streaming platform and focuses on the performance improvements that can be granted to those P2P nodes that are also members of a social network. The underpinning idea is that OSN friends (and friends of friends) might be more willing to help their mates than complete strangers in fetching the desired content within the P2P overlay. Hence, an approach is devised to guarantee that P2P users belonging to an OSN are guaranteed a better service when critical conditions build up, i.e., when bandwidth availability is scarce. Different help strategies are proposed, and their improvements are numerically assessed, showing that the help of direct friends, two-hops away friends and, in the limit, of the entire OSN community brings in considerable advantages. The obtained results demonstrate that the amount of delivered video increases and the delay notably decreases, for those privileged peers that leverage their OSN membership within the P2P overlay.

scholarly journals Disability and the Internet in 2015: Where to now?

First Monday ◽  
2015 ◽  
Author(s):  
Katie Ellis ◽  
Mike Kent
Keyword(s):  
Social Networks ◽  
New Media ◽  
Web 2.0 ◽  
Mobile Devices ◽  
Online Social Networks ◽  
People With Disabilities ◽  
The Internet ◽  
Legal Environment ◽  
Special Issue ◽  
Access To Technology

Earlier this decade, the emerging field of disability media began to focus on the Internet and people with disabilities. Books such as Paul T. Jaeger’s Disability and the Internet in 2012 and Disability and new media by this issue’s editors in 2011 both extended earlier work in this field particularly Goggin and Newell’s 2003 Digital disability.This new focus incorporated changes to the environment with the hype around Web 2.0, the rise of online social networks and the increasing prevalence of smartphone and other mobile devices being used to access the Internet, as well as the evolving legal environment around access to technology for people with disabilities.Our aim in compiling this special issue was to continue the work we began with Disability and new media.

Organizational Architecture and Online Social Networks

2016 ◽  
pp. 508-524
Author(s):  
André Grützmann ◽  
Cleber Carvalho de Castro ◽  
Anderson Antonio Freire de Moraes Meireles ◽  
Renan Carlos Rodrigues
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Online Social Networks ◽  
Interorganizational Networks ◽  
The Internet ◽  
Small Enterprises ◽  
Competitive Advantages ◽  
Global Marketplace ◽  
Complementary Resources ◽  
Organizational Architecture

The global marketplace is changing, forcing companies to establish stronger partnerships to compete at higher levels. Interorganizational networks are becoming a reality—not only for small enterprises, but also for larger companies. To face increasing global competition, companies need to strengthen their competitive advantages and solicit complementary resources from partners in order to get closer to customers. The Internet and its associated technologies, especially online social networks, can help with both tasks. Customers are using social media to share content, opinions, criticisms, and even compliments with companies and products. This chapter discusses the formation of interorganizational networks and points out some of the benefits that online social networks can contribute to these new organizational architectures.

The Language Between Youtubers and Boomers: Tendencies, New Words and Expressions in the Serbian Language

2021 ◽  
pp. 60-94
Author(s):  
Goran B. Milašin
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
English Language ◽  
New Technology ◽  
The Internet ◽  
Modern Culture ◽  
New Words ◽  
Impact Of Technology ◽  
The Impact

This paper analyses new words and expressions used in the Serbian language. The main aims of the paper are to register and describe typical language units in young people’s speech today, then to examine the impact of technology, the Internet and new types of communication on the structure of the Serbian lexicon, and to try to identify some tendencies and processes in the contemporary Serbian language. The corpus on which the research was conducted was collected in 2019 and 2020, and it consists of 1500 utterances excerpted from online social networks, primarily Twitter, Instagram, and YouTube. Based on the analysis of selected new words and expressions, it was determined that young people’s speech today is changing rapidly under the influence of globalisation and the English language, especially at the lexical level. It has also been established that in latest metaphors and comparisons, new technology and the Internet are appearing more and more often in the role of source domains, as an integral part of modern culture.

scholarly journals Data-Driven Modeling and Analysis of Online Social Networks

2011 ◽  
pp. 3-17 ◽  
Author(s):  
Divyakant Agrawal ◽  
Bassam Bamieh ◽  
Ceren Budak ◽  
Amr El Abbadi ◽  
Andrew Flanagin ◽  
...  
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Data Driven ◽  
Modeling And Analysis ◽  
Data Driven Modeling

scholarly journals Fake Profiles Types of Online Social Networks: A Survey

2018 ◽  
Vol 7 (4.19) ◽  
pp. 919
Author(s):  
Rafeef Kareem ◽  
Wesam Bhaya
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Service Providers ◽  
The Internet ◽  
Product Reviews ◽  
Substantial Role ◽  
Content Sharing ◽  
Sexual Predators ◽  
Different Types ◽  
Automated Methods

Today, OSNs (Online Social Networks) considered the most platforms common on the Internet. It plays a substantial role for users of the internet to hold out their everyday actions such as news reading, content sharing, product reviews, messages posting, and events discussing etc. Unfortunately, on the OSNs some new attacks have been recognized. Different types of spammers are existing in these OSNs. These cyber-criminals containing online fraudsters, sexual predators, catfishes, social bots, and advertising campaigners etc.OSNs abuse in different ways especially by creating fake profiles to carry out scams and spread their content. The identities of all these malicious are so damaging to the service providers and the users. From the opinion of OSNs service providers, the loss of bandwidth moreover the overall reputation of the network is affected by fake profiles. Thus, needing more complex automated methods, and tremendous effort manpower to discover and stopping these harmful users.This paper explains different kinds of OSNs risk generators such as cloned profiles, compromised profiles, and online bots (spam-bots, chat-bots, and social-bots). In addition, it presents several classifications of features that have been used for training classifiers in order to discover fake profiles. We try to show different ways that used to detect every kind of these malicious profiles. Also, this paper trying to show what is the dangerous type of profile attacks and the most popular in OSNs.  

Sign in / Sign up

Export Citation Format

Share Document