Introduction

2020 ◽  
pp. 1-14
Author(s):  
Angèle Christin
Keyword(s):  
Social Media ◽  
Digital Technologies ◽  
Content Management ◽  
Professional Identities ◽  
Diffusion Of Information ◽  
Internet Users ◽  
Social Media Platforms ◽  
And Diffusion ◽  
Content Management Systems ◽  
The Web

This chapter examines how the multiplication of digital metrics, analytics, and algorithms is reconfiguring work practices and professional identities. It focuses on the case of journalism, a field that has been profoundly changed by digital technologies. It describes modern newsrooms that use digital tools in the gathering, production, and diffusion of information on the web, from group chats to social media platforms and content management systems. The chapter also introduces a new market that emerged for “web analytics” or software programs that track the behaviour and preferences of internet users. It describes how editors and journalists are provided with a constant stream of data about their audience, receiving increasingly detailed information in real time about the number of visitors, comments, likes, and tweets that their articles attract.

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 Content Management Systems Performance and Compliance Assessment Based on a Data-Driven Search Engine Optimization Methodology

Information ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 259
Author(s):  
Ioannis Drivas ◽  
Dimitrios Kouis ◽  
Daphne Kyriaki-Manessi ◽  
Georgios Giannakopoulos
Keyword(s):  
Search Engine ◽  
Common Knowledge ◽  
Organizational Structures ◽  
Content Management ◽  
Data Driven ◽  
Management Systems ◽  
Search Engine Optimization ◽  
Optimization Methodology ◽  
Content Management Systems ◽  
The Web

While digitalization of cultural organizations is in full swing and growth, it is common knowledge that websites can be used as a beacon to expand the awareness and consideration of their services on the Web. Nevertheless, recent research results indicate the managerial difficulties in deploying strategies for expanding the discoverability, visibility, and accessibility of these websites. In this paper, a three-stage data-driven Search Engine Optimization schema is proposed to assess the performance of Libraries, Archives, and Museums websites (LAMs), thus helping administrators expand their discoverability, visibility, and accessibility within the Web realm. To do so, the authors examine the performance of 341 related websites from all over the world based on three different factors, Content Curation, Speed, and Security. In the first stage, a statistically reliable and consistent assessment schema for evaluating the SEO performance of LAMs websites through the integration of more than 30 variables is presented. Subsequently, the second stage involves a descriptive data summarization for initial performance estimations of the examined websites in each factor is taking place. In the third stage, predictive regression models are developed to understand and compare the SEO performance of three different Content Management Systems, namely the Drupal, WordPress, and custom approaches, that LAMs websites have adopted. The results of this study constitute a solid stepping-stone both for practitioners and researchers to adopt and improve such methods that focus on end-users and boost organizational structures and culture that relied on data-driven approaches for expanding the visibility of LAMs services.

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 The Implementation of Knowledge Management Based On Web 2.0 on Social News Site Hipwee

2019 ◽  
Vol 4 (1) ◽  
pp. 61
Author(s):  
Mufida Cahyani
Keyword(s):  
Social Media ◽  
Knowledge Management ◽  
Web 2.0 ◽  
Network Effects ◽  
Content Management ◽  
User Participation ◽  
Online News ◽  
User Generated Content ◽  
Organizational Participation ◽  
Social Media Platforms

The emergence of various kinds of social media applications does not only affect the way people communicate, but also penetrates into the realm of online mass media. Social media platforms that carry the concept of web 2.0 namely user generated content and network effects make it easy for a news to become viral in a short time, regardless of the validity and accuracy of the news. Web 2.0 itself is a direct application of the concept of Knowledge Management (KM) which emphasizes collaboration and user participation, but in a broader domain, it is slightly different from KM which emphasizes internal organizational participation. Hipwee as one of the social media-based online news sites applies both concepts to its content management. The purpose of this study was to analyze the extent of the application of KM in relation to Web 2.0. The method used to explore data through interviews with Hipwee managers and direct observation to the office location and also the Hipwee site. The results obtained are that the adaptation of the KM concept has not been applied to Web 2.0 on the Hipwee site, namely the concept of data mining, while the Web 2.0 concept has been applied to KM, namely unbounded collaboration, user generated content and network effects.

Web Text Mining

2016 ◽  
Author(s):  
Ricardo Baeza-Yates ◽  
Roi Blanco ◽  
Malú Castellanos
Keyword(s):  
Social Media ◽  
Text Mining ◽  
Sentiment Analysis ◽  
Web Search ◽  
Internet Users ◽  
Entity Retrieval ◽  
Web Text Mining ◽  
Text Content ◽  
The Web

Web search has become a ubiquitous commodity for Internet users. This fact puts a large number of documents with plenty of text content at our fingertips. To make good use of this data, we need to mine web text. This triggers the two problems covered here: sentiment analysis and entity retrieval in the context of the Web. The first problem answers the question of what people think about a given product or a topic, in particular sentiment analysis in social media. The second problem addresses the issue of solving certain enquiries precisely by returning a particular object: for instance, where the next concert of my favourite band will be or who the best cooks are in a particular region. Where to find these objects and how to retrieve, rank, and display them are tasks related to the entity retrieval problem.

Designing for Democracy

2021 ◽  
Author(s):  
Jennifer Forestal
Keyword(s):  
Social Media ◽  
Built Environment ◽  
Digital Technologies ◽  
The Other ◽  
Democratic Politics ◽  
Built Environments ◽  
Democratic Practice ◽  
Social Media Platforms ◽  
Democratic Spaces ◽  
Personalization Of Politics

Designing for Democracy addresses the question of how to “fix” digital technologies for democracy by examining how the design of the built environment (whether streets, sidewalks, or social media platforms) informs how, and whether, citizens can engage in democratic practices. “Democratic spaces”—built environments that support democratic politics—must have three characteristics: they must be clearly bounded, durable, and flexible. Each corresponds to a necessary democratic practice. Clearly bounded spaces make it easier to recognize what we share and with whom we share; they help us form communities. Durable spaces facilitate our attachments to the communities they house and the other members within them; they help us sustain communities. And flexible spaces facilitate the experimental habits required for democratic politics; they help us improve our communities. These three practices—recognition, attachment, and experimentalism—are the affordances a built environment must provide in order to be a “democratic space”; they are the criteria to which designers and users should be attentive when building and inhabiting the spaces of the built environment, both physical and digital. Using this theoretical framework, Designing for Democracy provides new insights into the democratic potential of digital technologies. Through extended discussions of examples like Facebook, Twitter, and Reddit, it suggests architectural responses to problems often associated with digital technologies—loose networks, the “personalization of politics,” and “echo chambers.” In connecting the built environment, digital technologies, and democratic theory, Designing Democracy provides blueprints for democracy in a digital age.

Web 2.0 as a Foundation for Social Media Marketing

2012 ◽  
pp. 342-379 ◽  
Author(s):  
Vedran Podobnik ◽  
Daniel Ackermann ◽  
Tomislav Grubisic ◽  
Ignac Lovrek
Keyword(s):  
Social Media ◽  
Web 2.0 ◽  
Social Networking ◽  
Low Cost ◽  
Internet Marketing ◽  
Social Media Marketing ◽  
Marketing Campaign ◽  
Internet Users ◽  
The Web ◽  
The Way

In the Web 1.0 era, users were passive consumers of a read-only Web. However, the emergence of Web 2.0 redefined the way people use information and communication services—users evolved into prosumers that actively participate and collaborate in the ecosystem of a read-write Web. Consequently, marketing is one among many areas affected by the advent of the Web 2.0 paradigm. Web 2.0 enabled the global proliferation of social networking, which is the foundation for Social Media Marketing. Social Media Marketing represents a novel Internet marketing paradigm based on spreading brand-related messages directly from one user to another. This is also the reason why Social Media Marketing is often referred to as the viral marketing. This chapter will describe: (1) how social networking became the most popular Web 2.0 service, and (2) how social networking revolutionized Internet marketing. Both issues will be elaborated on two levels—the global and the Croatian level. The chapter will first present the evolution of social networking phenomenon which has fundamentally changed the way Internet users utilize Web services. During the first decade of 21st century, millions of people joined online communities and started using online social platforms, about 1.5 billion members of social networks globally in 2012. Furthermore, the chapter will describe how Internet marketing provided marketers with innovative marketing channels, which offer marketing campaign personalization, low-cost global access to consumers, and simple, cheap, and real-time marketing campaign tracking. Specifically, the chapter will focus on Social Media Marketing, the latest step in the Internet marketing evolution. The three most popular Social Media Marketing platforms (i.e., Facebook, Twitter, and Foursquare) will be described, and examples of successful marketing case studies in Croatia will be presented.

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.

Sentimental Analysis Tools

2019 ◽  
pp. 204-231
Author(s):  
Sunil M. E. ◽  
Vinay S.
Keyword(s):  
Social Media ◽  
Data Collection ◽  
Opinion Mining ◽  
Data Cleaning ◽  
Digital Technologies ◽  
Target Object ◽  
Analysis Tools ◽  
Informed Decisions ◽  
Collection Data ◽  
The Web

Opinion mining, also known as sentimental analysis, is the analysis of sentiment (emotion, affection, experience) towards the target object. In the present era, everyone is interested to know the opinions of others before making a decision or performing a task. Hence, it is necessary to collect the information (features) from relatives, friends, or web. These opinions or feedbacks help them to decide their action. With the advent of social media and use of digital technologies, web is a huge resource for data. However, it is time-consuming to read the data collected from the web and analyze it to arrive at informed decisions. This chapter provides complete overview of tools to simplify the operations of opinion mining like data collection, data cleaning, and visualization of predicted sentiment.

Indiana University Bloomington Libraries Presents Organization to the Users and Power to the People

2011 ◽  
pp. 80-101 ◽  
Author(s):  
Diane Dallis ◽  
Doug Ryner
Keyword(s):  
Web Site ◽  
Conceptual Development ◽  
Content Management ◽  
Indiana University ◽  
Web System ◽  
The People ◽  
Management Aspect ◽  
Content Management Systems ◽  
New System ◽  
The Web

This chapter describes how the Indiana University Bloomington Libraries created a database-driven Web system that enables librarians and staff to publish content to the libraries’ public Web site that maintains a consistent design and places the content into a logical and consistent structure. The system comprises the libraries’ public Web site interface, the content manager (CM) administrative interface, and an intranet. The new Web system was designed to replace a decentralized process that was previously followed to maintain a large Web site of 8,000-plus static HTML pages. The new system made it possible for their large decentralized organization to present a unified and well-designed public interface on the Web. The authors describe the technical and conceptual development of the content management aspect of the system with the hope of increasing understanding of content management systems.

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