Indonesian Mobile Learning Information System Using Social Media Platforms

2017 ◽  
Vol 8 (2) ◽  
pp. 44-67 ◽  
Author(s):  
Mario Tulenan Parinsi ◽  
Keith Francis Ratumbuisang
Keyword(s):  
Social Media ◽  
Unified Modeling Language ◽  
Online Classes ◽  
Unified Modeling ◽  
Media Technologies ◽  
Visual Model ◽  
Internet Users ◽  
Utilization Of Technology ◽  
Technological Educational ◽  
Social Media Platforms

As a developing country, Indonesia continues to improve its quality as a state, in which the attempt to optimize all of its potential both in terms of economic, political, social, cultural, technological, educational, health, etc. This modern era, all aspects of life are depending on technology. This makes the technology becomes one of necessary in people's life. The utilization of technology has been used by all people in all aspects of life. Specifically, this paper tries to offer an innovation that has never been designed before, namely a platform of M-Learning in form of social media related to the development of technology for learning. Nowadays, internet users and smartphone ownership in Indonesia increased dramatically, then writers took initiative to design an innovation related to this case. Social media technologies provide the opportunity for teachers to engage students in online classes, thereby supporting the development of skills and learners to achieve competency. In addition to students, the opportunity is also open to outside the community to get information that can add knowledge. This case study provides a platform for M-Learning based learning that facilitate student learning also helps society size to obtain information more easily. The design of this platform using models UML (Unified Modeling Language) to design a visual model of this platform.

Indonesian Mobile Learning Information System Using Social Media Platforms

2020 ◽  
pp. 549-573
Author(s):  
Mario Tulenan Parinsi ◽  
Keith Francis Ratumbuisang
Keyword(s):  
Social Media ◽  
Unified Modeling Language ◽  
Online Classes ◽  
Unified Modeling ◽  
Media Technologies ◽  
Visual Model ◽  
Internet Users ◽  
Utilization Of Technology ◽  
Social Media Platforms

As a developing country, Indonesia continues to improve its quality as a state, in which the attempt to optimize all of its potential both in terms of economic, political, social, cultural, technological, educational, health, etc. This modern era, all aspects of life are depending on technology. This makes the technology becomes one of necessary in people's life. The utilization of technology has been used by all people in all aspects of life. Specifically, this paper tries to offer an innovation that has never been designed before, namely a platform of M-Learning in form of social media related to the development of technology for learning. Nowadays, internet users and smartphone ownership in Indonesia increased dramatically, then writers took initiative to design an innovation related to this case. Social media technologies provide the opportunity for teachers to engage students in online classes, thereby supporting the development of skills and learners to achieve competency. In addition to students, the opportunity is also open to outside the community to get information that can add knowledge. This case study provides a platform for M-Learning based learning that facilitate student learning also helps society size to obtain information more easily. The design of this platform using models UML (Unified Modeling Language) to design a visual model of this platform.

Illusions of Empowerment

2012 ◽  
Vol 2 (1) ◽  
pp. 36-51 ◽  
Author(s):  
Corinne Weisgerber
Keyword(s):  
Social Media ◽  
New Media ◽  
The Public ◽  
Media Technologies ◽  
Digital Democracy ◽  
Internet Users ◽  
Attention Economy ◽  
The Social ◽  
Social Media Platforms ◽  
Media Systems

This article calls into question the social media empowerment narrative and the underlying idea that social media platforms are empowering everyday netizens to have their voices heard. The author argues that social media technologies may simply privilege only those Internet users who are new media savvy and have leisure time to participate in the so-called digital democracy. While social media systems might have lowered the entrance threshold for civic engagement, hurdles such as the growing competition in an attention economy, the odds of standing out amidst millions of other individual voices, knowledge of new media technologies required to achieve visibility, and time demands make the social media empowerment vision more difficult to attain than the architects of the empowerment ideology have made the public to believe.

Avenues to News and Diverse News Exposure Online: Comparing Direct Navigation, Social Media, News Aggregators, Search Queries, and Article Hyperlinks

2021 ◽  
pp. 194016122110091
Author(s):  
Magdalena Wojcieszak ◽  
Ericka Menchen-Trevino ◽  
Joao F. F. Goncalves ◽  
Brian Weeks
Keyword(s):  
Social Media ◽  
Search Engines ◽  
Direct Access ◽  
Data Set ◽  
Individual Level ◽  
News Sources ◽  
Internet Users ◽  
News Websites ◽  
The Us ◽  
Social Media Platforms

The online environment dramatically expands the number of ways people can encounter news but there remain questions of whether these abundant opportunities facilitate news exposure diversity. This project examines key questions regarding how internet users arrive at news and what kinds of news they encounter. We account for a multiplicity of avenues to news online, some of which have never been analyzed: (1) direct access to news websites, (2) social networks, (3) news aggregators, (4) search engines, (5) webmail, and (6) hyperlinks in news. We examine the extent to which each avenue promotes news exposure and also exposes users to news sources that are left leaning, right leaning, and centrist. When combined with information on individual political leanings, we show the extent of dissimilar, centrist, or congenial exposure resulting from each avenue. We rely on web browsing history records from 636 social media users in the US paired with survey self-reports, a unique data set that allows us to examine both aggregate and individual-level exposure. Visits to news websites account for about 2 percent of the total number of visits to URLs and are unevenly distributed among users. The most widespread ways of accessing news are search engines and social media platforms (and hyperlinks within news sites once people arrive at news). The two former avenues also increase dissimilar news exposure, compared to accessing news directly, yet direct news access drives the highest proportion of centrist exposure.

scholarly journals Profiles, Identities, Data: Making Abundant and Anchored Selves in a Platform Society

2018 ◽  
Vol 29 (3) ◽  
pp. 169-188 ◽  
Author(s):  
Lukasz Szulc
Keyword(s):  
Social Media ◽  
Digital Media ◽  
Digital Culture ◽  
Internet Users ◽  
Social Media Platforms

AbstractThe practice of profile making has become ubiquitous in digital culture. Internet users are regularly invited, and usually required, to create a profile for a plethora of digital media, including mega social media platforms such as Facebook and Twitter. Understanding profiles as a set of identity performances, I argue that the platforms employ profiles to enable and incentivize particular ways and foreclose other ways of self-performance. Drawing on research into digital media and identities, combined with mediatization theories, I show how the platforms: (a) embrace datafication logic (gathering as much data as possible and pinpointing the data to a particular unit); (b) translate the logic into design and governance of profiles (update stream and profile core); and (c) coax—at times coerce—their users into making of abundant but anchored selves, that is, performing identities which are capacious, complex, and volatile but singular and coherent at the same time.

scholarly journals Aplikasi Sistem Informasi Social Media Advertise Maintenance Menggunakan Pendekatan Object Oriented Methodology

2021 ◽  
Vol 7 (1) ◽  
pp. 19-31
Author(s):  
Sri Rahayu ◽  
Ryanthika Serliyanthi Setyaningrum ◽  
Yuni Kristina Dewi
Keyword(s):  
Social Media ◽  
Information System ◽  
Unified Modeling Language ◽  
Object Oriented ◽  
Negotiation Process ◽  
The Internet ◽  
Great Opportunity ◽  
Face To Face ◽  
Unified Modeling ◽  
The Right

Information systems built in the form of social media and the internet make us able to carry out various activities without having to meet face to face. Social media is currently the main attraction for people to communicate and find information quickly. This is a great opportunity for companies to reach and expand their market. With an information system built in the form of social media and the internet, all obstacles, both distance and high costs, can be suppressed and communication can be carried out effectively. So far, PT. Red Eye Utama conducts marketing through radio advertisements, newspapers / billboards, this is what causes problems, due to limited space and time, as well as high costs to carry out all these processes. The negotiation process between the company and the customer is one of the obstacles that affects the company's service to customers. Therefore, one solution to the problems in this system is to build a Social Media Advertise Maintenance Information System. By using PIECES method analysis for improvements based on performance indicators, indicator information, economic indicators, control indicators, efficiency indicators and service indicators. To design the new system, object-oriented modeling is used, namely UML (Unified Modeling Language) which is the right tool to use in describing the system design that will be made according to User needs.

Scalable Data Analysis Application to Web Usage Data

2021 ◽  
pp. 261-274
Author(s):  
Hocine Chebi
Keyword(s):  
Data Mining ◽  
Data Analysis ◽  
Unified Modeling Language ◽  
Modeling Language ◽  
Data Sets ◽  
Time Dimension ◽  
Unified Modeling ◽  
Internet Users ◽  
Over Time ◽  
Usage Data

The number of hits to web pages continues to grow. The web has become one of the most popular platforms for disseminating and retrieving information. Consequently, many website operators are encouraged to analyze the use of their sites in order to improve their response to the expectations of internet users. However, the way a website is visited can change depending on a variety of factors. Usage models must therefore be continuously updated in order to accurately reflect visitor behavior. This remains difficult when the time dimension is neglected or simply introduced as an additional numeric attribute in the description of the data. Data mining is defined as the application of data analysis and discovery algorithms on large databases with the goal of discovering non-trivial models. Several algorithms have been proposed in order to formalize the new models discovered, to build more efficient models, to process new types of data, and to measure the differences between the data sets. However, the most traditional algorithms of data mining assume that the models are static and do not take into account the possible evolution of these models over time. These considerations have motivated significant efforts in the analysis of temporal data as well as the adaptation of static data mining methods to data that evolves over time. The review of the main aspects of data mining dealt with in this thesis constitutes the body of this chapter, followed by a state of the art of current work in this field as well as a discussion of the major issues that exist there. Interest in temporal databases has increased considerably in recent years, for example in the fields of finance, telecommunications, surveillance, etc. A growing number of prototypes and systems are being implemented to take into account the time dimension of data explicitly, for example to study the variability over time of analysis results. To model an application, it is necessary to choose a common language, precise and known by all members of a team. UML (unified modeling language, in English, or unified modeling language, in French) is an object-oriented modeling language standardized by the OMG. This chapter aims to present the modeling with the diagrams of packages and classes built using UML. This chapter presents the conceptual model of the data, and finally, the authors specify the SQL queries used for the extraction of descriptive statistical variables of the navigations from a warehouse containing the preprocessed usage data.

scholarly journals Who to Trust on Social Media: How Opinion Leaders and Seekers Avoid Disinformation and Echo Chambers

2020 ◽  
Vol 6 (2) ◽  
pp. 205630512091399
Author(s):  
Elizabeth Dubois ◽  
Sara Minaeian ◽  
Ariane Paquet-Labelle ◽  
Simon Beaudry
Keyword(s):  
Social Media ◽  
News Media ◽  
Political Information ◽  
Opinion Leaders ◽  
Internet Users ◽  
Dependent Variables ◽  
Echo Chambers ◽  
Social Media Platforms ◽  
Information Verification ◽  
Low Levels

As trust in news media and social media dwindles and fears of disinformation and echo chambers spread, individuals need to find ways to access and assess reliable and trustworthy information. Despite low levels of trust in social media, they are used for accessing political information and news. In this study, we examine the information verification practices of opinion leaders (who consume political information above average and share their opinions on social media above average) and of opinion seekers (who seek out political information from friends and family) to understand similarities and differences in their news media trust, fact-checking behaviors, and likeliness of being caught in echo chambers. Based on a survey of French Internet users ( N = 2,000) we find that not only opinion leaders, but also opinion seekers, have higher rates across all three of these dependent variables. We discuss the implications of findings for the development of opinion leadership theory as well as for social media platforms wishing to increase trust.

scholarly journals Alternative media for a populist audience? Exploring political and media use predictors of exposure to Breitbart, Sputnik, and Co.

2021 ◽  
Author(s):  
Philipp Müller ◽  
Anne Schulz
Keyword(s):  
Social Media ◽  
Large Scale ◽  
Relative Deprivation ◽  
Media Use ◽  
Alternative Media ◽  
Selective Exposure ◽  
Internet Users ◽  
Social Media Platforms ◽  
New Type ◽  
The Right

Alongside the recent rise of political populism, a new type of alternative media has established in past years that allegedly contribute to the distribution of the populist narrative. Using a large-scale quota survey of German Internet users (n = 1346) we investigate political and media use predictors of exposure to alternative media with an affinity to populism (AMP). Results reveal substantial differences between occasional and frequent AMP users. While both groups heavily use Twitter and Facebook for political information, occasional AMP users exhibit hardly any specific political convictions (except that they feel less personally deprived than non-users). Contrary to that, frequent AMP exposure is related to higher personal relative deprivation, stronger populist attitudes and a higher likelihood to vote for the right-wing populist party AfD. Against this background, frequent AMP use can be interpreted as partisan selective exposure whereas occasional AMP exposure might result from incidental contact via social media platforms. These findings are discussed regarding the role of alternative and social media in the recent populism wave.

scholarly journals Exploring situationally inappropriate social media posts

2016 ◽  
Vol 29 (3) ◽  
pp. 597-617 ◽  
Author(s):  
Michelle Richey ◽  
M.N. Ravishankar ◽  
Christine Coupland
Keyword(s):  
Social Media ◽  
Qualitative Study ◽  
Impression Management ◽  
Design Methodology ◽  
Situational Awareness ◽  
Content Type ◽  
Media Technologies ◽  
Social Media Platforms ◽  
The Uk ◽  
Self Presentations

Purpose – Social media technologies are used by many organizations to project a positive image of their strategies and operations. At the same time, however, there are an increasing number of reports of slip-ups linked to poor situational awareness and flawed self-presentations on social media platforms. The purpose of this paper is to explore the triggers of inappropriate social media posts. Design/methodology/approach – Data were collected during a qualitative study of social media use in 31 organizations in the UK and interpreted using concepts from Erving Goffman’s theory of impression management. Findings – The findings point to a series of demanding triggers, which increase the likelihood of insensitive and contextually inappropriate posts and also damage fostered impressions. Originality/value – The authors identify four triggers linked to inappropriate social media posts, namely: speed and spontaneity; informality; blurred boundaries; and the missing audience. The authors also discuss how extending the notion of what Goffman refers to as “situation-like” encounters provides useful insights into impression management on social media.

scholarly journals Misinformation Concerns and Online News Participation among internet Users in India

2021 ◽  
Vol 7 (2) ◽  
pp. 205630512110090
Author(s):  
Taberez Ahmed Neyazi ◽  
Antonis Kalogeropoulos ◽  
Rasmus K. Nielsen
Keyword(s):  
Social Media ◽  
Civil Society ◽  
English Language ◽  
Party Identification ◽  
Online News ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Internet Users ◽  
Social Media Platforms ◽  
News Sharing

The rise of misinformation often circulated in various social media platforms has not only raised concerns among the policymakers and civil society groups, but also among citizens. Drawing upon a cross-sectional survey ( n = 1,013) among English-language internet users in India, this paper tries to identify factors that affect concerns for online misinformation among citizens and how online news participation is affected by the rise of misinformation. After controlling for gender, age, education and income, we found that WhatsApp use, party identification and trust in news are positively associated with the concern for misinformation. Similarly, partisans are more likely to engage with news online. While Facebook and Twitter use are positively associated with online news sharing, the use of WhatsApp is not significant. The empirical evidence adds new insights to the literature on misinformation and online news engagement from the world’s largest democracy.

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