Redefinition of online scoops: Online journalists’ personal and institutional responses to online scoops

First Monday ◽  
2013 ◽  
Author(s):  
Jeongsub Lim
Keyword(s):  
Real Time ◽  
Online News ◽  
News Production ◽  
Breaking News ◽  
Institutional Responses ◽  
Fast Pace ◽  
Baseline Information ◽  
Time Basis

Online news circulates at a fast pace on a real-time basis. It is necessary for online journalists to deal with breaking news at each stage of the news-making process. This process is a part of the institutionalization rooted in the production of online news. On the basis of such observations, this study includes findings from interviews with Korean online journalists to determine how they perceive the nature of scoops in relation to their competitors and how they respond to scoops. This study is meaningful in that its empirical findings provide baseline information for theorizing about the online production of news. This study also reveals that perceptions of online scoops have been redefined among online journalists. Furthermore, institutions and individual intuitions guide online journalists’ news production.

scholarly journals DAViS: a unified solution for data collection, analyzation, and visualization in real-time stock market prediction

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Suppawong Tuarob ◽  
Poom Wettayakorn ◽  
Ponpat Phetchai ◽  
Siripong Traivijitkhun ◽  
Sunghoon Lim ◽  
...  
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Data Collection ◽  
Stock Market ◽  
Real Time ◽  
Stock Prices ◽  
Contextual Information ◽  
Online News ◽  
Stock Prediction ◽  
Stock Market Prediction

AbstractThe explosion of online information with the recent advent of digital technology in information processing, information storing, information sharing, natural language processing, and text mining techniques has enabled stock investors to uncover market movement and volatility from heterogeneous content. For example, a typical stock market investor reads the news, explores market sentiment, and analyzes technical details in order to make a sound decision prior to purchasing or selling a particular company’s stock. However, capturing a dynamic stock market trend is challenging owing to high fluctuation and the non-stationary nature of the stock market. Although existing studies have attempted to enhance stock prediction, few have provided a complete decision-support system for investors to retrieve real-time data from multiple sources and extract insightful information for sound decision-making. To address the above challenge, we propose a unified solution for data collection, analysis, and visualization in real-time stock market prediction to retrieve and process relevant financial data from news articles, social media, and company technical information. We aim to provide not only useful information for stock investors but also meaningful visualization that enables investors to effectively interpret storyline events affecting stock prices. Specifically, we utilize an ensemble stacking of diversified machine-learning-based estimators and innovative contextual feature engineering to predict the next day’s stock prices. Experiment results show that our proposed stock forecasting method outperforms a traditional baseline with an average mean absolute percentage error of 0.93. Our findings confirm that leveraging an ensemble scheme of machine learning methods with contextual information improves stock prediction performance. Finally, our study could be further extended to a wide variety of innovative financial applications that seek to incorporate external insight from contextual information such as large-scale online news articles and social media data.

scholarly journals Towards nuanced universality: Developing a concept bible for public service online news production

2018 ◽  
Vol 34 (1) ◽  
pp. 74-87
Author(s):  
Jenni Hokka
Keyword(s):  
Social Media ◽  
Digital Media ◽  
Public Service ◽  
Online News ◽  
Ethnographic Study ◽  
General Level ◽  
Audience Segmentation ◽  
News Production ◽  
Media Environment ◽  
Social Media Platforms

With the advent of popular social media platforms, news journalism has been forced to re-evaluate its relation to its audience. This applies also for public service media that increasingly have to prove its utility through audience ratings. This ethnographic study explores a particular project, the development of ‘concept bible’ for the Finnish Broadcasting Company YLE’s online news; it is an attempt to solve these challenges through new journalistic practices. The study introduces the concept of ‘nuanced universality’, which means that audience groups’ different kinds of needs are taken into account on news production in order to strengthen all people’s ability to be part of society. On a more general level, the article claims that despite its commercial origins, audience segmentation can be transformed into a method that helps revise public service media principles into practices suitable for the digital media environment.

scholarly journals A STUDY OF TENSES USED IN ENGLISH ONLINE NEWS WEBSITE

2016 ◽  
Vol 4 (7) ◽  
pp. 248-258
Author(s):  
Jittra Muta ◽  
Nutprapha Dennis
Keyword(s):  
Online News ◽  
Past Tense ◽  
Present Perfect ◽  
Future Tense ◽  
Breaking News ◽  
Research Instrument ◽  
News Website ◽  
Research Findings ◽  
Present Tense ◽  
Data Collections

The purposes of this study were to analyze and describe English tenses used in an online news website and to examine which types of English tenses are frequently used in an online news website. The material in this study was 20 news in Mini-Lessons from B r e a k I n g N e w s E n g l i s h .c o m. The research instrument was a checklist which determines and categorizes English tenses as past tense, present tense, and future tense. The data collections were analyzed with the frequency and percentage. The research findings of the study showed that all using of English tenses in the 20 news from the Mini-Lessons were 279 sentences; past tense were 155 sentences (56%), present tense were 120 sentences (43%), and future tense were 4 sentences (1%). The most English tenses aspect of the news were past simple tense and present tense; past simple tense, present simple tense, present perfect tense, and present progressive tense, respectively. In contrast, breaking news used the least English tenses aspect of the news was past perfect tense, future simple tense, past progressive tense, present perfect progressive tense, and future perfect tense, while there were no used past perfect progressive tense, future progressive tense, future perfect tense, and future perfect progressive tense in the 20 selected breaking news.

scholarly journals Waterborne illness and injury: a feasibility study of a site-specific predictive model for beach water quality at Beachway Park in the City of Burlington

2021 ◽  
Author(s):  
Ramien Sereshk
Keyword(s):  
Water Quality ◽  
Predictive Model ◽  
Real Time ◽  
Site Specific ◽  
E Coli ◽  
Time Basis ◽  
A Site ◽  
Persistence Model ◽  
Beach Water Quality ◽  
Beach Water

It is commonly assumed that the persistence model, using day-old monitoring results, will provide accurate estimates of real-time bacteriological concentrations in beach water. However, the persistence model frequently provides incorrect results. This study: 1. develops a site-specific predictive model, based on factors significantly influencing water quality at Beachway Park; 2. determines the feasibility of the site-specific predictive model for use in accurately predicting near real-time E. coli levels. A site-specific predictive model, developed for Beachway Park, was evaluated and the results were compared to the persistence model. This critical performance evaluation helped to identify the inherent inaccuracy of the persistence model for Beachway Park, which renders it an unacceptable approach for safeguarding public health from recreational water-borne illnesses. The persistence model, supplemented with a site-specific predictive model, is recommended as a feasible method to accurately predict bacterial levels in water on a near real-time basis.

Temporal affordances in the news

Journalism ◽  
2017 ◽  
Vol 19 (1) ◽  
pp. 37-55 ◽  
Author(s):  
Keren Tenenboim-Weinblatt ◽  
Motti Neiger
Keyword(s):  
Content Analysis ◽  
Online News ◽  
Cross Cultural ◽  
Future Research ◽  
Preparation Time ◽  
News Production ◽  
Stability And Change ◽  
Material Conditions ◽  
The Relationship ◽  
Over Time

This article develops the concept of temporal affordances as a framework for understanding and evaluating the relationship between news technologies and journalistic storytelling practices. Accordingly, temporal affordances are defined as the potential ways in which the time-related possibilities and constraints associated with the material conditions and technological aspects of news production are manifested in the temporal characteristics of news narratives. After identifying six such affordances – immediacy, liveness, preparation time, transience, fixation in time, and extended retrievability – we examine manifestations of temporal affordances in different journalistic cultures over time, based on a content analysis of Israeli and US news narratives in different technological eras (from 1950 to 2013). The findings point to a consistent pattern of inter-media differences, in accordance with the distinct affordances of print and online news, alongside cross-cultural and cross-organizational variations in the use of these affordances. In addition, we detect complex patterns of stability and change in the use of temporal affordances in print media over time. Implications and directions for future research are discussed.

Online news creation, trust in the media, and political participation: Direct and moderating effects over time

Journalism ◽  
2017 ◽  
Vol 19 (5) ◽  
pp. 611-631 ◽  
Author(s):  
Alberto Ardèvol-Abreu ◽  
Catherine M Hooker ◽  
Homero Gil de Zúñiga
Keyword(s):  
Political Participation ◽  
The United States ◽  
Online News ◽  
Citizen Journalism ◽  
Panel Survey ◽  
Moderating Effects ◽  
News Production ◽  
The Media ◽  
Over Time

This article explores the role of trust in professional and alternative media as (a) antecedents of citizen news production, and (b) moderators of the effect of citizen news production on political participation. Using two-wave panel survey data collected in the United States between December 2013 and March 2014, results show that trust in citizen media predicts people’s tendency to create news. In turn, citizen news production is a positive predictor of both offline and online participation. More importantly, trust in the media moderates the effect of citizen news production over online political participation. Overall, this article highlights the importance of trust in the media with respect to citizen news production and how it matters for democracy. Thus, this study casts a much-needed light on how media trust and citizen journalism intertwine in explaining a more engaged and participatory citizenry.

System for Detecting Driver Alertness while Driving

2021 ◽  
Vol 9 (VI) ◽  
pp. 2095-2099
Author(s):  
Prajwal Chandrakant Sapkal
Keyword(s):  
Aspect Ratio ◽  
Real Time ◽  
Raspberry Pi ◽  
Time Data ◽  
Facial Landmarks ◽  
Remote Location ◽  
Python Language ◽  
Falling Asleep ◽  
Time Basis ◽  
Main Component

In this project, we are going to present a system for sleep detection alarm to monitor the driver, based on the real time surveillance and alert him as well as post it at remote location whenever it’s necessary using cloud platform. This device is to be developed using the Raspberry Pi, Open CV library and camera module. The required coding part of the project will be done using Python language. The main component of the project will be pretrained landmark detector as a software part. It identifies 68 points on the human face. The Dlib’s landmark will detect 68 facial landmarks which enables us to extract the various facial structures using simple Python array slices. The facial landmarks of fully closed eye and a fully opened eye will be first plotted. This data is further processed and tested with some results which will give the information about driver’s alertness. Once the facial landmarks associated with an eye are determined, we can apply the Eye Aspect Ratio (EAR) algorithm. In our case, we’ll be monitoring the eye aspect ratio to see if the values of the facial landmarks, thus implying that the driver/user has closed their eyes or distracted from driving or yawn. Once implemented, our algorithm will start by localising the facial landmarks on real time basis. We can then will be able to monitor the eye aspect ratio to determine if the eyes are close or nearly close which will be the indicator for driver is falling asleep. And then finally raising an alarm if the eye aspect ratio is below a pre-defined threshold for a sufficiently long amount of time. The alarm will be loud enough to wake up the driver and bring back his attention. At the same time data is passed to remote location using cloud whenever it’s necessary.

Computer-Aided Process Planning: A Path to Just-in-Time Manufacturing for Shipyards

1988 ◽  
Vol 4 (03) ◽  
pp. 197-215
Author(s):  
Richard L. DeVries
Keyword(s):  
Real Time ◽  
Process Planning ◽  
Group Technology ◽  
Shop Floor ◽  
Just In Time ◽  
Time Data ◽  
Computer Aided Process Planning ◽  
Computer Aided ◽  
Time Basis ◽  
Manufacturing Data

The use of computers to improve the productivity of U.S. shipyards has never been as successful as hoped for by the designers. Many applications were simply the conversion of an existing process to a computerized process. The manufacturing database required for the successful application of computer-aided process planning (CAPP) to the shipyard environment requires a "back-to-basics" approach, one that can lead to control of the processes occurring in the fabrication and assembly shops of a shipyard. The manufacturing database will not provide management feedback designed for the financial segment of the shipyard (although it can be converted to be fully applicable): it provides "real-time" manufacturing data that the shop floor manager can utilize in his day-to-day decisions, not historical data on how his shop did last week or last month. The computer is only a tool to be used to organize the mountains of manufacturing data into useful information for today's shop manager on a "real time" basis. The use of group technology to collect similar products, the use of parameters to clearly identify work content, the use of real-time efficiency rates to project capacity and realistic schedules, and the use of bar codes to input "real time" data are all tools that are part of the process—tools for the shop floor manager of tomorrow.

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