Web 2.0 and News 2.0

2015 ◽  
pp. 93-110
Author(s):  
Kyle Gibson ◽  
Greg Gomer
Keyword(s):  
Social Media ◽  
Web 2.0 ◽  
Real Time ◽  
Distribution Models ◽  
Web Usage ◽  
News Source ◽  
News Organizations ◽  
Production And Distribution ◽  
Social Media Platforms ◽  
News Industry

This chapter examines the effects that Web 2.0 technologies have had on traditional news organizations and how those organizations have been forced to adapt their content style, speed of production, and distribution models. It specifically focuses on real-time analytics and how news organizations can utilize new opportunities presented by social media platforms and web usage mining to analyze their audience, the competition, and popular opinions. The chapter will explain in detail how a news organization can compile data from social media and web usage, gain insights from that data, and act upon those insights. To further examine real-time analytics, the chapter presents real examples from BostInno, an online news source, where real-time analytics affected content and distribution. To conclude, the authors will reflect on the impact real-time analytics has on the news industry and how it might affect it in the near future.

News

2018 ◽  
Author(s):  
José van
Keyword(s):  
Big Five ◽  
Data Driven ◽  
Professional Practices ◽  
Public Values ◽  
Social Foundations ◽  
Online Platforms ◽  
News Organizations ◽  
Production And Distribution ◽  
News Industry

This chapter examines how the advent of data-driven publishers, such as BuzzFeed and the Huffington Post, as well as the rise of the Big Five platforms, have shaken the news sector’s economic, technical, and social foundations. The proliferation of online audience metrics and algorithmic filtering, promoting the personalization of news and advertisements, has fundamentally transformed how news is produced, circulated, and monetized. The triangular content–audiences–advertising configuration that constituted the legacy news industry is unbundled and rebundled through online platforms. As a consequence, the professional practices and institutional standards once set by legacy news organizations are seriously challenged. Key public values, such as journalistic independence and the trustworthiness of news, have come under scrutiny as new online players in this sector reconfigure the conditions of production and distribution.

scholarly journals Classification Connection of Twitter Data using K-Means Clustering

2019 ◽  
Vol 8 (6S4) ◽  
pp. 14-22
Keyword(s):  
Social Media ◽  
Real Time ◽  
Clustering Methods ◽  
Time Analysis ◽  
Data Set ◽  
Dynamic Data ◽  
Real Time Analysis ◽  
Twitter Data ◽  
Social Media Platforms ◽  
Insight Into

The rise of social media platforms like Twitter and the increasing adoption by people in order to stay connected provide a large source of data to perform analysis based on the various trends, events and even various personalities. Such analysis also provides insight into a person’s likes and inclinations in real time independent of the data size. Several techniques have been created to retrieve such data however the most efficient technique is clustering. This paper provides an overview of the algorithms of the various clustering methods as well as looking at their efficiency in determining trending information. The clustered data may be further classified by topics for real time analysis on a large dynamic data set. In this paper, data classification is performed and analyzed for flaws followed by another classification on the same data set.

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.

scholarly journals Detecting Damage Building Using Real-Time Crowdsourced Images And Transfer Learning

2021 ◽  
Author(s):  
Gaurav Chachra ◽  
Qingkai Kong ◽  
Jim Huang ◽  
Srujay Korlakunta ◽  
Jennifer Grannen ◽  
...  
Keyword(s):  
Social Media ◽  
Deep Learning ◽  
Real Time ◽  
Transfer Learning ◽  
Learning Model ◽  
Research Community ◽  
Rescue Work ◽  
The Public ◽  
Social Media Platforms ◽  
Deep Learning Model

Abstract After significant earthquakes, we can see images posted on social media platforms by individuals and media agencies owing to the mass usage of smartphones these days. These images can be utilized to provide information about the shaking damage in the earthquake region both to the public and research community, and potentially to guide rescue work. This paper presents an automated way to extract the damaged building images after earthquakes from social media platforms such as Twitter and thus identify the particular user posts containing such images. Using transfer learning and ~6500 manually labelled images, we trained a deep learning model to recognize images with damaged buildings in the scene. The trained model achieved good performance when tested on newly acquired images of earthquakes at different locations and ran in near real-time on Twitter feed after the 2020 M7.0 earthquake in Turkey. Furthermore, to better understand how the model makes decisions, we also implemented the Grad-CAM method to visualize the important locations on the images that facilitate the decision.

Pushing Back, Through Media and Civil Society

Hate Spin ◽  
2016 ◽  
Author(s):  
Cherian George
Keyword(s):  
Social Media ◽  
Civil Society ◽  
Cultural Identity ◽  
Social Norms ◽  
State Policy ◽  
Civil Society Organizations ◽  
National Belonging ◽  
News Organizations ◽  
Social Media Platforms

How a society responds to hate spin depends on not only its laws, but also its social norms—in particular, whether people consider bigotry to be socially acceptable or something to fight against, how comfortable they are with ideas and beliefs that are different, and whether their sense of national belonging is based on inclusive democratic values or an exclusive cultural identity. This chapter examines the role of non-state actors in shaping societies’ responses to hate spin. These players—secular and religious civil society groups, news organizations, and social media platforms, for example—are essential parts of any effort to build democracies that are respectful of religious differences. But, like state policy, media and civil society organizations are also often part of the problem, facilitating, encouraging, or even generating hate spin.

Cloud Computing Technologies for Open Connected Government

2016 ◽  
pp. 1-14 ◽  
Author(s):  
Zaigham Mahmood
Keyword(s):  
Social Media ◽  
Cloud Computing ◽  
Web 2.0 ◽  
Real Time ◽  
Distributed Applications ◽  
Mobile Technologies ◽  
Computing Technologies ◽  
Cloud Technologies ◽  
Cloud Resources

Cloud Computing is an attractive paradigm for organisations that have a requirement to process large scalable distributed applications. It allows for self-provisioning of cloud resources to develop and host applications as well as acquire storage and networking resources. Connected Government (c-government) is an area where cloud technologies can be effectively used to achieve the benefits that the cloud paradigm promises. Social Media, Web 2.0 and mobile technologies can all help to further enhance the connected government capabilities. Using such technologies, governments and citizens can engage in real time in the electronic participation of a government's functioning. In this chapter, we introduce the cloud paradigm and then discussing the requirements of c-government, we outline how cloud technologies can help to achieve an open and transparent c-government. The aim is to provide the basics of relationship between c-government and cloud computing to set the scene for other contributions in this volume.

Creating “(Social) Network Art” with NodeXL

2017 ◽  
pp. 342-393
Author(s):  
Shalin Hai-Jew
Keyword(s):  
Social Media ◽  
Big Data ◽  
Social Network ◽  
Network Analysis ◽  
Web 2.0 ◽  
Data Visualization ◽  
Network Graph ◽  
Social Media Platforms ◽  
Machine Art ◽  
Social Sharing

If human-created objects of art are historically contingent, then the emergence of (social) network art may be seen as a product of several trends: the broad self-expression and social sharing on Web 2.0; the application of network analysis and data visualization to understand big data, and an appreciation for online machine art. Social network art is a form of cyborg art: it melds data from both humans and machines; the sensibilities of humans and machines; and the pleasures and interests of people. This chapter will highlight some of the types of (social) network art that may be created with Network Overview, Discovery and Exploration for Excel (NodeXL Basic) and provide an overview of the process. The network graph artwork presented here were all built from datasets extracted from popular social media platforms (Twitter, Flickr, YouTube, Wikipedia, and others). This chapter proposes some early aesthetics for this type of electronic artwork.

scholarly journals Distortions of political bias in crowdsourced misinformation flagging

2020 ◽  
Vol 17 (167) ◽  
pp. 20200020
Author(s):  
Michele Coscia ◽  
Luca Rossi
Keyword(s):  
Social Media ◽  
News Item ◽  
Real World Data ◽  
Media Environment ◽  
Political Bias ◽  
News Sources ◽  
Online Social Media ◽  
News Source ◽  
Social Media Platforms ◽  
Current Content

Many people view news on social media, yet the production of news items online has come under fire because of the common spreading of misinformation. Social media platforms police their content in various ways. Primarily they rely on crowdsourced ‘flags’: users signal to the platform that a specific news item might be misleading and, if they raise enough of them, the item will be fact-checked. However, real-world data show that the most flagged news sources are also the most popular and—supposedly—reliable ones. In this paper, we show that this phenomenon can be explained by the unreasonable assumptions that current content policing strategies make about how the online social media environment is shaped. The most realistic assumption is that confirmation bias will prevent a user from flagging a news item if they share the same political bias as the news source producing it. We show, via agent-based simulations, that a model reproducing our current understanding of the social media environment will necessarily result in the most neutral and accurate sources receiving most flags.

scholarly journals Latinx Digital Memory: Identity Making in Real Time

2019 ◽  
Vol 5 (4) ◽  
pp. 205630511986264
Author(s):  
Melissa Villa-Nicholas
Keyword(s):  
Social Media ◽  
Identity Formation ◽  
Cultural Values ◽  
Real Time ◽  
Cultural Memory ◽  
Corporate Sponsorship ◽  
Memory Work ◽  
Digital Memory ◽  
Social Media Platforms

Recently, there has been an increase in cultural Latinx social media platforms, leading to a renaissance of digital visual cultural memory work around Latinidad. This work focuses on how Latinx digital memory participates in an ongoing identity formation in real time, both in resistance to and collusion with American cultural values. By looking at popular visual Latinx social media accounts, this article explores how Latinx identity is constructed and adapted in real time, through Latinx social media platforms. Three main trends are noted as arising from Latinx social media: nostalgia around Latinx identity, the corporate sponsorship of Latinx memory, and the resistance to hegemonic Latinidad narratives.

Press Subsidies

2018 ◽  
Author(s):  
Mart Ots ◽  
Robert G. Picard
Keyword(s):  
Social Media ◽  
Economic Crisis ◽  
Public Interest ◽  
Policy Initiative ◽  
State Support ◽  
Policy Makers ◽  
Fourth Estate ◽  
The World ◽  
Production And Distribution ◽  
Social Media Platforms

Due to its function as a watchdog or fourth estate in democratic societies and a variety of commercial challenges, policy-makers have undertaken initiatives to support the production and distribution of news. Press subsidies are one such policy initiative that particularly aims to provide support to private news producers. Paid as direct cash handouts or indirect reduced taxes and fees, they exist in some form in almost every country in the world. Subsidies are not uncontroversial, their effectiveness is unclear, and their magnitude, designs, and areas of application, differ across nations and their unique economic, cultural, and political contexts. After periods of declining political and public interest in media subsidies, the recent economic crisis of journalism, and the rising influence of various forms of click-bait, fake, native, or biased news on social media platforms, has brought state support of original journalism back on the agenda.

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