Education

2018 ◽  
pp. 265-273
Keyword(s):  
Social Media ◽  
Real Time ◽  
Social Life ◽  
Handheld Devices ◽  
On Line ◽  
Cross Platform ◽  
The Web

Given the present plug-in society of on-line services, today's youngsters became owners of digital handheld devices where Wikipedia, Twitter, Facebook, Google, Yahoo, Flickr, Viadeo, Amazon, Alibaba, WeChat, Line, Blogger, What'sApp, Instagram, Vine and Dropbox are regular daily services used as a common practice. Connectivity is oxygen nowadays. People spend hours engaging with social media, highlighting that this activity is playing a huge part of the growth and evolution of the online landscape (Kemp, 2014). Thirty years after the dawn of the Net, social media have become the first activity on the Web where everything is connected in real-time and are more personalized than ever in a universal cross-platform (the cloud concept). Definitely, real social life, based on activities such as going to a movie with your friends or children playing with toys is fading away.

scholarly journals PUSH NOTIFICATION MONITORING SISTEM PINTU AIR BERBASIS ANDROID MENGGUNAKAN FIREBASE CLOUD MESSAGING

2020 ◽  
Vol 13 (1) ◽  
pp. 79-88
Author(s):  
Frandia Fernando ◽  
Arini Arini ◽  
Feri Fahrianto
Keyword(s):  
Real Time ◽  
Disaster Management ◽  
General Public ◽  
Flood Disaster ◽  
Water Volume ◽  
Water Gate ◽  
Cross Platform ◽  
State Of The Environment ◽  
Control Water ◽  
The Web

Flood disaster is very common, especially in Jakarta City. One way to control water debit is to create a dam or reservoir. In each reservoir there is a water gate which serves to dispose of unwanted water gradually or continuously according to the water volume present in the dam. The Regional Disaster Management Agency (BPBD) Jakarta City needed a system that can monitor any existing water gates of the reservoir, this is to facilitate water gate inspectors to provide information. By using firebase cloud messaging technology that will be applied in the application of push-based android water doors. The application will provide notification and water gate data in real time, making it easier for users to get data in real time. Firebase Cloud Messaging is a cross platform solution that allows you to send messages reliably at no cost. In addition, the use of API as a processing medium to pull data from the web BPBD, optimize its function to mobile android. BPBD as the agency that tackling the disaster can know the state of the environment quickly and accurately. Applications created not only made for BPBD only but the general public can also to know the condition of the water gate. In addition, there are also ways of handling floods and what to do at each level of water level.For the next, this application can add other technollgy also IoT technology.

An Overview of Methodologies and Challenges in Sentiment Analysis on Social Networks

2020 ◽  
pp. 204-213
Author(s):  
Aditya Suresh Salunkhe ◽  
Pallavi Vijay Chavan
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Web Services ◽  
Sentiment Analysis ◽  
Real Time ◽  
Quality Analysis ◽  
Election Campaign ◽  
Real Time Analysis ◽  
User Comments ◽  
The Web

The expeditious increase in the adoption of social media over the last decade, determining and analyzing the attitude and opinion of masses related to a particular entity, has gained quite an importance. With the landing of the Web 2.0, many internet products like blogs, community chatrooms, forums, microblog are serving as a platform for people to express themselves. Such opinion is found in the form of messages, user-comments, news articles, personal blogs, tweets, surveys, status updates, etc. With sentiment analysis, it is possible to eliminate the need to manually going through each and every user comment by focusing on the contextual polarity of the text. Analyzing the sentiments could serve a number of applications like advertisements, recommendations, quality analysis, monetization provided on the web services, real-time analysis of data, analyzing notions related to candidates during election campaign, etc.

Event Management in Social Media

2020 ◽  
pp. 149-163
Author(s):  
Murat Seyfi
Keyword(s):  
Social Media ◽  
Social Life ◽  
Communication Technologies ◽  
Event Management ◽  
Media Communication ◽  
Factors Affecting ◽  
Communication Device ◽  
On Line ◽  
New Perspective ◽  
Social Media Communication

This chapter describes how through globalisation and developments in communication technologies, the lifestyle of people has changed and developed as well. Now, events are re-designed with communication tools and are becoming an important part of social life. This study aims to determine and evaluate the factors affecting perceptions of the audience who take part in events realized via Facebook, or on another online platform. Since this study is implemented through a social media communication device, on an on-line platform, it differs from other studies and gives this area a new perspective. Data acquired from questions were prepared to test the hypothesis of the study were analysed by doing factor analysis and regression tests. The acquired results were discussed.

scholarly journals TRANSCODING BETWEEN HYPER-ANTAGONISTIC MILIEUS: STUDIES ON THE CROSS-PLATFORM RELATIONS BETWEEN RADICAL POLITICAL WEB SUBCULTURES

2020 ◽  
Author(s):  
Sal Hagen ◽  
Marc Tuters ◽  
Stijn Peeters ◽  
Emillie De Keulenaar ◽  
Jack Wilson ◽  
...  
Keyword(s):  
Social Media ◽  
Conceptual Analysis ◽  
Data Driven ◽  
Far Right ◽  
Cross Platform ◽  
The Cross ◽  
Anglo American ◽  
Empirical Approaches ◽  
The Web ◽  
Half Decade

This panel brings together research into the cross-platform relations between radical Web subcultures and how they are constitutive of “hyper-antagonistic” politics in broader Web discourses. The papers share a concern with vernacular practices of “fringe” platforms favoured by an insurgent far-right movement and their relations to more “mainstream” social media. They engage with the concept of “transcoding between milieus” (Deleuze & Guattari 1987, 322) as a means to empirically describe multiple transversal processes across different strata of the Web in which “one milieu serves as the basis for another” (313). All papers ground their conceptual analysis in data-driven empirical approaches using historical datasets ranging from “mainstream” platforms like YouTube, to more “fringe” spaces like 4chan. The papers furthermore all use 4chan’s far-right /pol/ board as a reference point for a vernacular “hyper-antagonistic” style that emerged out of this period – a style that has often been related to the “alt-right”. Together, the four papers in this panel offer insights into the apparent insurgency of far-right subcultures within broader online discourse in the Anglo-American context over the course of the last half decade. Each does so with a particular focus, ranging from subcultural conflict between Tumblr and 4chan, the transcoding of the “Kekistan” meme between 4chan and YouTube, the emergence of far-right vernacular in the comments of Breitbart News, and the robustness of hyper-antagonistic discourse after deplatforming measures.

Confronting bias in the online representation of pregnancy

2020 ◽  
Vol 26 (5-6) ◽  
pp. 1037-1059
Author(s):  
Loes Bogers ◽  
Sabine Niederer ◽  
Federica Bardelli ◽  
Carlo De Gaetano
Keyword(s):  
Social Media ◽  
Predominantly White ◽  
Media Content ◽  
Composite Image ◽  
Cross Platform ◽  
Media Imagery ◽  
Visual Materials ◽  
Social Support Systems ◽  
The Web

This article interrogates platform-specific bias in the contemporary algorithmic media landscape through a comparative study of the representation of pregnancy on the Web and social media. Online visual materials such as social media content related to pregnancy are not void of bias, nor are they very diverse. The case study is a cross-platform analysis of social media imagery for the topic of pregnancy, through which distinct visual platform vernaculars emerge. The authors describe two visualization methods that can support comparative analysis of such visual vernaculars: the image grid and the composite image. While platform-specific perspectives range from lists of pregnancy tips on Pinterest to pregnancy information and social support systems on Twitter, and pregnancy humour on Reddit, each of the platforms presents a predominantly White, able-bodied and heteronormative perspective on pregnancy.

scholarly journals How Black Twitter and other social media communities interact with mainstream news

2018 ◽  
Author(s):  
Deen Freelon ◽  
Lori Lopez ◽  
Meredith D. Clark ◽  
Sarah J. Jackson
Keyword(s):  
Social Media ◽  
Real Time ◽  
Digital Communication ◽  
Communication Technologies ◽  
Digital Age ◽  
People Of Color ◽  
The Past ◽  
Diverse Communities ◽  
The Web

People have been forming communities using digital communication technologies since long before the web as we know it today. Social media are only the latest in a long series of digital forums that have enabled global conversations and connections around nearly any topic imaginable. With its emphasis on public accessibility and real-time content production, Twitter has become a major hub for communities of all types and sizes. The issues and voices of people of color and women have attracted much attention from professional journalists over the past few years. Yet many such individuals have criticized journalists’ portrayals and coverage of issues that are important to them. In response, some participants have assumed the role of news creators and distributors, focusing on their communities’ particular concerns. Understanding these emerging social subcultures will allow more accurate portrayals of diverse communities and yield insights for better journalistic engagement in the digital age.

Real-Time Sentiment Analysis of Microblog Messages with the Maltego “Tweet Analyzer” Machine

2017 ◽  
pp. 316-337
Author(s):  
Shalin Hai-Jew
Keyword(s):  
Social Media ◽  
Open Access ◽  
Sentiment Analysis ◽  
Real Time ◽  
Sensor Network ◽  
Fast Moving ◽  
Social Media Platform ◽  
Other Information ◽  
Media Platform ◽  
The Web

For social media to work as a “human sensor network” or a relevant source for “eventgraphing” for some fast-moving events, it is important to be capture real-time and locational information. It may help to not only capture information from a particular social media platform but from across the Web. In such a context, Maltego Carbon 3.5.3/Chlorine 3.6.0's Tweet Analyser “machine” (with AlchemyAPI built-in) and used in combination with other “transforms,” may serve the purpose—at least for initial and iterated sampling of the related messaging. This tool may be used to capture information from social media accounts.. social media accounts, linked URLs, geolocational information, and other information of research value. Maltego is an open-access tool with a community version and a proprietary commercial version available by subscription. Maltego Chlorine's Tweet Analyzer has a built-in sentiment analysis feature.

Adaptive Signal Analysis and Interpretation for Real-time Intelligent Patient Monitoring

1994 ◽  
Vol 33 (01) ◽  
pp. 60-63 ◽  
Author(s):  
E. J. Manders ◽  
D. P. Lindstrom ◽  
B. M. Dawant
Keyword(s):  
Computer Architecture ◽  
Real Time ◽  
Data Abstraction ◽  
Monitoring Strategy ◽  
Intelligent Monitoring ◽  
Patient Status ◽  
On Line ◽  
Main Components ◽  
And Control ◽  
Adaptive Signal

Abstract:On-line intelligent monitoring, diagnosis, and control of dynamic systems such as patients in intensive care units necessitates the context-dependent acquisition, processing, analysis, and interpretation of large amounts of possibly noisy and incomplete data. The dynamic nature of the process also requires a continuous evaluation and adaptation of the monitoring strategy to respond to changes both in the monitored patient and in the monitoring equipment. Moreover, real-time constraints may imply data losses, the importance of which has to be minimized. This paper presents a computer architecture designed to accomplish these tasks. Its main components are a model and a data abstraction module. The model provides the system with a monitoring context related to the patient status. The data abstraction module relies on that information to adapt the monitoring strategy and provide the model with the necessary information. This paper focuses on the data abstraction module and its interaction with the model.

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