Formative digital and online technologies in news and journalism

2020 ◽  
pp. 1-12
Author(s):  
Cate Dowd
Keyword(s):  
Big Data ◽  
Data Sharing ◽  
21St Century ◽  
Online News ◽  
Machine Intelligence ◽  
Applied Logic ◽  
Online Technologies ◽  
News Stories ◽  
Web Standards ◽  
Cloud Servers

Online news systems share some affordances of Turing’s universal machine, especially configurability, but the early generation of web standards enabled data sharing, interoperability, and ultimately frameworks to reasoning about digital resources. At the backend of online news, indexing, mark-up languages, and applied logic, provide a base for machine intelligence that ultimately extends to cloud servers and big data. However, XML languages, like RSS, enabled the first phase of sharing stories in the form of newsfeeds. Specific mark-up for online news, such a NewsML, also defined layout and other features of news sites. Tim Berners-Lee established the W3C for online standards in the 1980s, and then on the cusp of the 21st century he proposed semantic and structured approaches for meaningful data sharing online. However, in subsequent years entrepreneurs have appropriated semantic approaches for different ends. The atomisation of data also introduces “personalised” data preferences to pitch news stories.

The impacts of integrated media systems and social media in news

2020 ◽  
pp. 13-31
Author(s):  
Cate Dowd
Keyword(s):  
Social Media ◽  
Big Data ◽  
Data Sharing ◽  
Content Management ◽  
Online News ◽  
Media Systems ◽  
Online Traffic ◽  
Cloud Servers ◽  
Integrated Media ◽  
Content Management Systems

Integrated media systems are not only content management systems for production and publishing of online news, they are also hubs for mobile connectivity to remote servers and conduits for search and social media, but verification and analytics have also spawned data jobs intersecting with journalism. These layers of technological convergence across social media and media systems are like tunnels to data sharing on cloud servers. The latter has also presented opportunities for intermediary agencies, like Storyful, owned by Murdoch, to access big data and the potential of linked data via social media. The potential of cloud servers, mixed with social media, has also spawned new roles for news verification and roles in online trends, as well as cloud engineering jobs. Big data has indeed inspired new data sharing partnerships to boost online traffic and advertising through data insights. The result is more analytics that impact on the focus in journalism.

The Effect of Searching Versus Surfing on Cognitive and Emotional Responses to Online News

2009 ◽  
Vol 21 (2) ◽  
pp. 49-59 ◽  
Author(s):  
Kevin Wise ◽  
Hyo Jung Kim ◽  
Jeesum Kim
Keyword(s):  
Heart Rate ◽  
Skin Conductance ◽  
Skin Conductance Level ◽  
Emotional Responses ◽  
Online News ◽  
Self Report ◽  
Mixed Design ◽  
Information Need ◽  
News Stories ◽  
Rate Acceleration

A mixed-design experiment was conducted to explore differences between searching and surfing on cognitive and emotional responses to online news. Ninety-two participants read three unpleasant news stories from a website. Half of the participants acquired their stories by searching, meaning they had a previous information need in mind. The other half of the participants acquired their stories by surfing, with no previous information need in mind. Heart rate, skin conductance, and corrugator activation were collected as measures of resource allocation, motivational activation, and unpleasantness, respectively, while participants read each story. Self-report valence and recognition accuracy were also measured. Stories acquired by searching elicited greater heart rate acceleration, skin conductance level, and corrugator activation during reading. These stories were rated as more unpleasant, and their details were recognized more accurately than similar stories that were acquired by surfing. Implications of these results for understanding how people process online media are discussed.

The beginning of phygital world

2020 ◽  
Vol 10 (2) ◽  
pp. 1-4
Author(s):  
Evgeny Soloviov ◽  
Alexander Danilov
Keyword(s):  
Big Data ◽  
Learning Styles ◽  
21St Century ◽  
Digital Technology ◽  
Aviation Education ◽  
Digital World ◽  
The World ◽  
Unique Experience ◽  
Smart Data

The Phygital word itself is the combination pf physical and digital technology application.This paper will highlight the detail of phygital world and its importance, also we will discuss why its matter in the world of technology along with advantages and disadvantages.It is the concept and technology is the bridge between physical and digital world which bring unique experience to the users by providing purpose of phygital world. It is the technology used in 21st century to bring smart data as opposed to big data and mix into the broader address of array of learning styles. It can bring new experience to every sector almost like, retail, medical, aviation, education etc. to maintain some reality in today’s world which is developing technology day to day. It is a general reboot which can keep economy moving and guarantee the wellbeing of future in terms of both online and offline.

Strategic Communication in the C-Suite

2017 ◽  
Vol 54 (2) ◽  
pp. 146-160 ◽  
Author(s):  
Paul A. Argenti
Keyword(s):  
Big Data ◽  
21St Century ◽  
Elevated Level ◽  
Research Question ◽  
Strategic Communication ◽  
Central Research ◽  
Corporate Communications ◽  
Leadership Communication ◽  
The Past ◽  
Communication In Organizations

This article explores the ways in which C-suite executives are using corporate communications to execute strategy. Over the past two decades, we have seen a profound shift in how leaders view communications within organizations. This shift has moved from a tactical and superficial focus (speech writing, media placements) to a more strategic and elevated level (developing and implementing strategy through communication, sophisticated measurement using big data to understand constituencies and influence reputation). Thus, the central research question in this article is focused on the following theme: “How do leaders use communications to execute strategy in the 21st century?” Through a review of current literature on the topic and synthesis of both published and newly conducted interviews, the article provides a snapshot of leadership communication in organizations today as it relates to the execution of strategy.

scholarly journals Public Opinion Polls and Experts in Election News

2016 ◽  
Vol 12 (1) ◽  
pp. 127
Author(s):  
Guðbjörg Hildur Kolbeins
Keyword(s):  
Public Opinion ◽  
News Media ◽  
News Coverage ◽  
Online News ◽  
Parliamentary Election ◽  
Radio Stations ◽  
News Stories ◽  
Election News ◽  
Public Opinion Polls ◽  
Opinion Polls

By employing the theoretical framework of framing, the present paper attempts to examine the Icelandic media’s coverage of the 2013 parliamentary election by paying particular attention to coverage of public opinion polls and the policies of the political parties, i.e. the “horse-race” frame and the issue frame, and to examine media’s reliance on experts for interpretation of election news. Seven online news media, two newspapers, two radio stations and two television channels were monitored for 25 days prior to Election Day, i.e. from April 2 to April 26, 2013, - resulting in 1377 election news stories. The findings show, for example, that 29.8% of all the election news stories had public opinion polls as their primary angle while 12% of the stories were primarily issue-oriented. In addition, the media rely on experts for interpretation of the polls; five of the 10 most interviewed or quoted sources on public opinion surveys were political science experts who were affiliated with universities. Finally, news coverage of polls was generally amplified as media outlets had a tendency to report on public opinion polls that were commissioned by other media.

Using Big Data Opinion Mining to Predict Rises and Falls in the Stock Price Index

2015 ◽  
pp. 30-42
Author(s):  
Yoosin Kim ◽  
Michelle Jeong ◽  
Seung Ryul Jeong
Keyword(s):  
Big Data ◽  
Language Processing ◽  
Stock Price ◽  
Opinion Mining ◽  
Predictive Accuracy ◽  
Online News ◽  
Social Phenomena ◽  
Price Increases ◽  
Novel Approach ◽  
Investment Decision Making

In light of recent research that has begun to examine the link between textual “big data” and social phenomena such as stock price increases, this chapter takes a novel approach to treating news as big data by proposing the intelligent investment decision-making support model based on opinion mining. In an initial prototype experiment, the researchers first built a stock domain-specific sentiment dictionary via natural language processing of online news articles and calculated sentiment scores for the opinions extracted from those stories. In a separate main experiment, the researchers gathered 78,216 online news articles from two different media sources to not only make predictions of actual stock price increases but also to compare the predictive accuracy of articles from different media sources. The study found that opinions that are extracted from the news and treated with proper sentiment analysis can be effective in predicting changes in the stock market.

State Repression and the Struggles for Memory

2004 ◽  
Author(s):  
Elizabeth Jelin
Keyword(s):  
South America ◽  
21St Century ◽  
Truth Commission ◽  
Collective Identities ◽  
State Repression ◽  
News Stories ◽  
The Past ◽  
To Come ◽  
Political Realities ◽  
The Disappeared

Opening the newspapers in South America at the beginning of the 21st century can feel like being caught in static time: so many of the contemporary news stories point to the persistence of a past which is definitely not "over". The attempts to try Pinochet, the continuing searches for the disappeared, or a child of murdered parents' struggle to discover their real identity, the Truth Commission in Peru - across the continent, societies continue to come to terms with the past. This book provides an introduction to the complexity of ideas and approaches which have been brought to bear on memory and its importance for understanding social and political realities. Elizabeth Jelin draws on European and North American debates and theories to explore the ways in which conflicts over memory shape individual and collective identities, as well social and political cleavages. The book exposes the enduring consequences of repression and enriches our understanding of the conflicted and contingent nature of memory.

Big Data Sharing Among Academics

2013 ◽  
pp. 177-194 ◽  
Author(s):  
Jeonghyun Kim
Keyword(s):  
Big Data ◽  
Social Science ◽  
Case Studies ◽  
Data Sharing ◽  
Physical Science ◽  
Life Science ◽  
Social Research ◽  
Data Repositories ◽  
Current Technology ◽  
Oceanographic Data

The goal of this chapter is to explore the practice of big data sharing among academics and issues related to this sharing. The first part of the chapter reviews literature on big data sharing practices using current technology. The second part presents case studies on disciplinary data repositories in terms of their requirements and policies. It describes and compares such requirements and policies at disciplinary repositories in three areas: Dryad for life science, Interuniversity Consortium for Political and Social Research (ICPSR) for social science, and the National Oceanographic Data Center (NODC) for physical science.

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