Competition Detection from Online News

2016 ◽  
pp. 117-128
Author(s):  
Zhong-Yong Chen ◽  
Chien Chin Chen
Keyword(s):  
Online News

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.

In Brief: APA Online News.

2001 ◽  
Author(s):  
B. Beisel
Keyword(s):  
Online News

ANALISIS WACANA PADA BERITA NONTON FILM SAKINAH, MAHASISWA UIN YOGYAKARTA BERI PUJIAN (ANALISIS MIKROSTRUKTURAL)

2019 ◽  
Vol 7 (4) ◽  
pp. 57
Author(s):  
Resdianto Permata Raharjo ◽  
Maranita Anjarsari
Keyword(s):  
Data Analysis ◽  
Online News ◽  
Analysis Method ◽  
Literature Study ◽  
Lexical Cohesion ◽  
News Discourse ◽  
Qualitative Descriptive ◽  
Descriptive Approach ◽  
Method Analysis ◽  
Descriptive Method

This study aims to describe 1) the form of cohesion contained in the news Watching Sakinah Movies, UIN Yogyakarta Give Praise Students and 2) describing the forms of coherence contained in the news Watching Sakinah Film, Students of UIN Yogyakarta Give Praise. The subjects used in this study were news of watching Sakinah film, UIN Yogyakarta students giving praise, and the objects used were sentences containing grammatical cohesion, a form of lexical cohesion. The approach used in this study is a qualitative descriptive approach. The data in this study are sentences in the news of Watching Sakinah Movies, This student is a method of literature study. While the method of data analysis in this study is descriptive method analysis method, the method used to analyze and describe cohesion markers and analyze markers of coherence. Test The results of the study show that in the news of watching Sakinah films, UIN Yogyakarta Beri Pujian students have varied markers of cohesion and coherence in the Tebuireng Online news discourse. Cohesion markers were found to reference (3), substitution (1), ellipsis (2), conjunction (3), collocation (1), and markers of coherence found cause-effect relationships (2), relationship coherence suggestions — goals (1), coherence temporal relations (1), and coherence of causal relationships (1).

Role of The Halal Industry in Recovering the National Economy in Covid-19 Pandemic

2020 ◽  
Vol 8 (2) ◽  
pp. 202-214
Author(s):  
Cucu Susilawati
Keyword(s):  
National Economy ◽  
Banking Sector ◽  
Developed Countries ◽  
Online News ◽  
Financial Industry ◽  
National Economic ◽  
Halal Food ◽  
Vigorous Growth ◽  
Business Sectors

The outbreak of the Covid-19 pandemic in Indonesia is attacking not only public health but also the economy. The presence of Covid-19 has many important impacts on developed countries. There are at least four industries most impacted by this pandemic, including households, MSMEs, companies and the financial industry. However, the halal industry is believed to be more resilient to the Covid-19 pandemic. This durability is because of the principles attributed to the halal sector, namely the importance of fairness, balance and openness. The author’s goal is therefore to carry out more in-depth research on the role of the halal industry in supporting the national economy, which is under pressure because of the COVID-19 pandemic. This type of study is a literature review with a material analysis approach that explores the conditions of the halal industry in Indonesia in depth. The material received is as books, published information, and online news. The findings of this study reveal that there are three halal business sectors that are believed to be more vulnerable to the Covid-19 pandemic in order to facilitate national economic recovery. Halal finance, halal food and halal fashion industries are among them. Halal finance from both the banking sector and the Islamic stock market has proved to be more robust than the mainstream financial sector. Besides guaranteed halal food, its wellbeing is also guaranteed, and halal fashion is now on the rise as Muslim fashion is increasingly innovative and global. We believe the three of them to have experienced vigorous growth, and also to continue to draw customers. And also after the Covid-19 pandemic, these three sectors could survive. Thus the halal industry also contributes to Indonesian economy.

Analysis of Feature Reduction Techniques for Online News Popularity Prediction

2018 ◽  
Vol 4 (10) ◽  
pp. 6
Author(s):  
Shivangi Bhargava ◽  
Dr. Shivnath Ghosh
Keyword(s):  
Neural Network ◽  
Support Vector Machine ◽  
Particle Swarm Optimization ◽  
Naive Bayes ◽  
Particle Swarm ◽  
Naïve Bayes ◽  
Online News ◽  
Feature Reduction ◽  
Support Vector ◽  
Swarm Optimization

News popularity is the maximum growth of attention given for particular news article. The popularity of online news depends on various factors such as the number of social media, the number of visitor comments, the number of Likes, etc. It is therefore necessary to build an automatic decision support system to predict the popularity of the news as it will help in business intelligence too. The work presented in this study aims to find the best model to predict the popularity of online news using machine learning methods. In this work, the result analysis is performed by applying Co-relation algorithm, particle swarm optimization and principal component analysis. For performance evaluation support vector machine, naïve bayes, k-nearest neighbor and neural network classifiers are used to classify the popular and unpopular data. From the experimental results, it is observed that support vector machine and naïve bayes outperforms better with co-relation algorithm as well as k-NN and neural network outperforms better with particle swarm optimization.

ICERD in Malaysian online news reports: A cross-linguistic comparative corpus analysis

2019 ◽  
Vol 3 (4) ◽  
pp. 51
Author(s):  
Siti Aeisha Joharry ◽  
Nor Diyana Saupi
Keyword(s):  
Comparative Analysis ◽  
Public Discourse ◽  
Online News ◽  
Corpus Analysis ◽  
Search Term ◽  
International Convention ◽  
Online Newspapers ◽  
News Reports ◽  
The Media ◽  
Online Sources

The International Convention for the Elimination of Racial Discrimination (ICERD), which was not ratified in Malaysia, created a heated public discourse in the media. This cross-linguistic comparative study investigates the representation of ICERD in Malaysian news reports of two online sources in Malaysia – the widely read English portal: The Star Online, and its Malay equivalent: Berita Harian. A corpus-assisted discourse analysis was conducted to examine how news on ‘ICERD’ were reported in both English and Malay online newspapers. Initial comparative analysis of both newspapers revealed that the search term co-occurs statistically more frequently with the verb ‘ratify’ and its equivalent: ‘meratifikasi’. Patterns indicate that ‘ICERD’ was mostly referring to the act of sanctioning the agreement –particularly to ‘not ratify’ or ‘tidak akan meratifikasi’, which is concurrent with the timeframe of events. Interestingly, different patterns can be found in Berita Harian (e.g. the expression of ‘thanks’ or gratitude of not ratifying ICERD) that are not as revealing in The Star Online reports. Some inconsistencies were also reported between the two newspapers, e.g. referring to different ministers’ speech about the initial plan to ratify ICERD alongside five (The Star Online) or six (Berita Harian) other treaties in the following year.  

Estereotipos y tendencias en la prensa rumana actual

2020 ◽  
Vol 65 (4) ◽  
pp. 223-240
Author(s):  
Coman Lupu
Keyword(s):  
Online News ◽  
Point Of View ◽  
Compound Words ◽  
Wide Audience ◽  
Frequent Use ◽  
Natural Outcome

Stereotypes and Trends in Today’s Romanian Press. In the last three decades, the Romanian media has undergone significant changes. In this industry, the market is nowadays dominated by TV and online press. The number of TV stations with national or local coverage has increased significantly, and the competition between newspapers or online news pages has intensified. A consequence of the battle for audience is the tabloidization of some TV channels, as well as online press, in order to increase the number of retrievals of online news. The tabloidization trend is seen in the dissemination of a sometimes-exaggerated number of sensational information, in the wording of news titles and in the insistent advertising. From a linguistic point of view, chaos reigns in TV and online press. Many of the news posted online seem to be drawn up in a hurry or negligently translated from various foreign sources. We are witnessing a mixture of styles and an alienation from the journalistic canon. The stylistic hybridization is the natural outcome of the frequent use of words and phrases characteristic to colloquial-familiar and argotic language or from various terminological areas, generally hardly accessible to the wide audience. However, the TV and online press has an undisputed merit: a major contribution to enriching the vocabulary with new elements (compound words, derived words, loanwords from other modern languages or calques), to their dissemination and establishment in the Romanian language.

Sign in / Sign up

Export Citation Format

Share Document