scholarly journals Language and Emotion: The Communication Pattern on The Result of Central Jakarta Governor Election on Online Newspaper and Its Pedagogical Implications

2018 ◽  
Vol 5 (1) ◽  
pp. 35
Author(s):  
Rahmawati Aprilanita
Keyword(s):  
Foreign Language ◽  
Online News ◽  
Communication Pattern ◽  
Quantitative Calculation ◽  
Online Newspaper

The present study aims at observing and presenting the types of language features used by Indonesian adultscommenting on an online news using English as their foreign language to know whether Indonesians tend to be bluntor mitigate in expressing their feeling on the results of central Jakarta governor election. The comments uttered weretheir reaction and expression on the result of Central Jakarta Governor Election. The data observed was taken fromall comments on a headline of online newspaper. The comments were from 74 people. The findings are generatedbased on quantitative calculation on the major verb used to express the feelings.

The Impact of Social vs. Nonsocial Referring Channels on Online News Consumption

2020 ◽  
Author(s):  
Sagit Bar-Gill ◽  
Yael Inbar ◽  
Shachar Reichman
Keyword(s):  
Social Media ◽  
Large Scale ◽  
Online News ◽  
Clickstream Data ◽  
News Consumption ◽  
Online Newspaper ◽  
News Website ◽  
The Impact ◽  
News Sharing ◽  
Sharing Behavior

The digitization of news markets has created a key role for online referring channels. This research combines field and laboratory experiments and analysis of large-scale clickstream data to study the effects of social versus nonsocial referral sources on news consumption in a referred news website visit. We theorize that referrer-specific browsing modes and referrer-induced news consumption thresholds interact to impact news consumption in referred visits to an online newspaper and that news sharing motivations invoked by the referral source impact sharing behavior in these referred visits. We find that social media referrals promote directed news consumption—visits with fewer articles, shorter durations, yet higher reading completion rates—compared with nonsocial referrals. Furthermore, social referrals invoke weaker informational sharing motivations relative to nonsocial referrals, thus leading to a lower news sharing propensity relative to nonsocial referrals. The results highlight how news consumption changes when an increasing amount of traffic is referred by social media, provide insights applicable to news outlets’ strategies, and speak to ongoing debates regarding biases arising from social media’s growing importance as an avenue for news consumption. This paper was accepted by Anandhi Bharadwaj, information systems.

scholarly journals MORPHO-STYLISTIC ANALYSIS OF CRISIS MOTIVATED WORDS IN ONLINE NEWSPAPER HEADLINES OF KOGI STATE ELECTION OF 2019

2020 ◽  
Vol 7 (7) ◽  
pp. 532-540
Author(s):  
Joekin Ekwueme ◽  
Zubairu Samaila Bitrus ◽  
Kefas Jesmiel ◽  
Victoria Lekyong
Keyword(s):  
Online News ◽  
Stylistic Analysis ◽  
War And Peace ◽  
Linguistic Features ◽  
Online Newspaper

Words could both be an instrument of war and peace. Journalists could build a nation and at the same time destroy what has been built over the years by the means of language. This study, therefore, investigated the morpho-stylistics of crisis motivated words in online newspaper headlines of Kogi State election of 2019. The purpose of the study was to identify and explain morpho-stylistically the linguistic features dominant in such discourse that motivate or trigger crisis. The study was anchored on Halliday’s (1984) aspects of Language Stratification of SFG. The corpuses of the study which comprised ten headlines were collected at random from ten online news platforms. The items were analyzed in accordance with the tenets of Language Stratification of SFG. The findings revealed that the morphological formations dominant in the headlines that are capable of motivating crisis were compounding and neologisms or coinages; and those formations mark the style of the editors/authors. It is concluded that words could indeed trigger crisis if not properly managed. It is, therefore, recommended that editors and authors should select their words carefully before publishing in order to avert the unforeseen crisis.

scholarly journals Analysis of the Registers in Sport Articles in the Jakarta Post Online Newspaper

2022 ◽  
Vol 1 (3) ◽  
pp. 157-167
Author(s):  
Rizki Aziza
Keyword(s):  
Research Method ◽  
Document Analysis ◽  
Online News ◽  
Sport Team ◽  
The Third ◽  
Online Newspaper ◽  
Analytical Research ◽  
Sports News ◽  
Post Online

This research aimed to examine sport registers in online newspaper, and to obtain a list of words and phrases that are commonly used by the sport team when mentioning certain terms in the field of sport. The study was constrained by an examination of sport registers in the Jakarta Post online newspaper. The analytical research method and document analysis were used in this study. The study's findings were as follows: In the first article, it was found that six (6) or 31.5% data were classified as borrowing words, one (1) or 5.2% were acronyms, two (2) or 10.6% were abbreviations, two (2) or 10.6% were compounding, and eight (8) or 42.1% were categorized as inflections. In the second article, it was found that twelve (12) or 52,2% data were classified as borrowing words, one (1) or 4,3% were abbreviations, two (2) or 8,7% were compounding, and eight (8) or 34,8% were categorized as inflections. Moreover, in the third article, it was found that seven (7) or 31,8% data were classified as borrowing words, four (4) or 18,2% as acronyms, two (2) or 9,1% were abbreviations, one (1) or 4,5% were compounding, and eight (8) or 36,4% were categorized as inflections. There are not only words but phrase registers were found sport articles. There are 11 phrases found in three online news of sport article. It can be concluded that there are many registers to be found in sports news in the Jakarta Post online newspaper.

scholarly journals Intertextuality in Online News Opinion Article on Industrial Revolution 4.0: Its Type and Discursive Practice

2019 ◽  
Vol 5 (1) ◽  
pp. 1-8
Author(s):  
Aan Ramadhansyah Rahayu ◽  
Rosaria Mita Amalia
Keyword(s):  
Social Life ◽  
Social Practice ◽  
Qualitative Method ◽  
Industrial Revolution ◽  
Online News ◽  
Discursive Practice ◽  
Newspaper Article ◽  
Online Newspaper ◽  
Informal Discussion ◽  
Opinion Article

This study deals with intertextuality in opinion article on industrial revolution. This study is a part of discourse analysis which aims to discover types of intertextuality in the article and to reveal its social practice (discursive practice).The study follows Fairclough (2003) view of language in use: as an element of social life which is closely interconnected with other elements, therefore this study applied descriptive qualitative method. The results show Implicit Quotation and Indirect Quotation are dominantly used in the articles. Implicit Quotation used as strategy to throw arguments, and Indirect Quotation is used to bring authoritative voice from outside into the articles. The discursive practice of intertextuality in the articles is showing an informal discussion, but still having an academic sense in newspaper article to make it sounds such an authoritative discussion. Therefore, people who read the article would acknowledge the writers’ idea and believe their argument and opinion.  Keywords: intertextuality, discursive practice, discourse, online newspaper, opinion article

Changing news: re-adjusting science studies to online newspapers

2010 ◽  
Vol 20 (6) ◽  
pp. 771-777 ◽  
Author(s):  
Hauke Riesch
Keyword(s):  
Science Studies ◽  
Online News ◽  
Hard Copy ◽  
Social Scientists ◽  
Online Newspapers ◽  
News Reporting ◽  
New Information ◽  
Online Newspaper ◽  
Media Research ◽  
Traditional Norms

With the newspapers’ recent move to online reporting, traditional norms and practices of news reporting have changed to accommodate the new realities of online news writing. In particular, online news is much more fluid and prone to change in content than the traditional hard-copy newspapers – online newspaper articles often change over the course of the following days or even weeks as they respond to criticisms and new information becoming available. This poses a problem for social scientists who analyse newspaper coverage of science, health and risk topics, because it is no longer clear who has read and written what version, and what impact they potentially had on the national debates on these topics. In this note I want to briefly flag up this problem through two recent examples of UK national science stories and discuss the potential implications for PUS media research.

An Empirical Investigation of Online News Classification on an Open-Domain, Large-Scale and High-Quality Dataset in Vietnamese

2021 ◽  
Author(s):  
Khanh Quoc Tran ◽  
Phap Ngoc Trinh ◽  
Khoa Nguyen-Anh Tran ◽  
An Tran-Hoai Le ◽  
Luan Van Ha ◽  
...  
Keyword(s):  
Machine Learning ◽  
Text Classification ◽  
Large Scale ◽  
Online News ◽  
Open Domain ◽  
High Quality ◽  
Short Text ◽  
Online Newspapers ◽  
Online Newspaper ◽  
Data Points

In this paper, we build a new dataset UIT-ViON (Vietnamese Online Newspaper) collected from well-known online newspapers in Vietnamese. We collect, process, and create the dataset, then experiment with different machine learning models. In particular, we propose an open-domain, large-scale, and high-quality dataset consisting of 260,000 textual data points annotated with multiple labels for evaluating Vietnamese short text classification. In addition, we present the proposed approach using transformer-based learning (PhoBERT) for Vietnamese short text classification on the dataset, which outperforms traditional machine learning (Naive Bayes and Logistic Regression) and deep learning (Text-CNN and LSTM). As a result, the proposed approach achieves the F1-score of 80.62%. This is a positive result and a premise for developing an automatic news classification system. The study is proposed to significantly save time, costs, and human resources and make it easier for readers to find news related to their interesting topics. In future, we will propose solutions to improve the quality of the dataset and improve the performance of classification models.

Paywalls: Monetizing Online Content

2018 ◽  
Vol 83 (2) ◽  
pp. 19-36 ◽  
Author(s):  
Adithya Pattabhiramaiah ◽  
S. Sriram ◽  
Puneet Manchanda
Keyword(s):  
New York ◽  
Spillover Effect ◽  
New York Times ◽  
Online News ◽  
Digital Content ◽  
Free Access ◽  
Online Content ◽  
Print Version ◽  
Online Newspaper ◽  
Positive Spillover

In recent years, many news providers have begun monetizing online content through paywalls. While the premise behind paywalls is that the subscription revenue can be a new source of income, the externalities that might arise from this pricing change are unclear. The authors study two potential externalities of newspaper paywalls: (1) the effect of a paywall on the engagement of its online reader base and (2) the spillover effect on the print version of the newspaper. The engagement effect considers how the paywall altered the various engagement metrics among light and heavy readers of online news. The spillover effect is likely to arise if readers view print and online versions of a newspaper as substitutes, implying that increasing the price of the latter is likely to increase the demand for the former. Moreover, many newspaper paywalls offer bundles wherein print subscribers are provided free access to the online newspaper. Therefore, the value that a reader derives from the print subscription could be higher after the erection of the paywall. As a result, paywalls are likely to have a positive spillover effect on print subscription and, consequently, circulation. The authors document the sizes of the two externalities for the New York Times paywall and compare them with the direct subscription revenue generated. They comment on implications for newspapers and online content providers that are seeking mechanisms to monetize digital content.

scholarly journals Incorporating Values of Moderate Islam for the 21st Century Learners in an English as a Foreign Language Class

2018 ◽  
pp. 18 ◽  
Author(s):  
Fachri Ali
Keyword(s):  
Foreign Language ◽  
Undergraduate Students ◽  
21St Century ◽  
Online News ◽  
Learning Materials ◽  
Authentic Materials ◽  
Single Class ◽  
Language Class ◽  
21St Century Learners ◽  
Online Group

This present study explores how to incorporate values of moderate Islam for the 21st century learners in an English as a Foreign Language (EFL) class. It was conducted in the single class consisting of 44 undergraduate students who took English for Islamic Education course at Institut Agama Islam Negeri Pekalongan, Indonesia. The data were collected through observation and interview. The finding exposes that five values of moderate Islam could be noticed in the EFL class, namely: objectivity, tolerance in encountering diversity, inclusiveness in receiving current issues, logic and flexibility in understanding texts, and innovation in daily life. Another result demonstrates the lecturer’s pivotal roles in incorporating the values of moderate Islamic for the 21st century learners in the classroom setting. The roles included facilitating as a good model to incorporate the values, such as respecting diversity without any discrimination of gender and social backgrounds and having enthusiasm for helping the learners, organizing an online group on Edmodo learning management system, and providing the EFL learners with opportunities to foster good morality in both individual and group learning activities. The study also promotes that relating to the use of learning materials, online news articles containing Islamic values were used as the authentic materials, and EFL teaching may impact on the learners’ disappointment or conflict with the culture embedded in the learning materials.

scholarly journals Online Newspaper Clustering in Aceh using the Agglomerative Hierarchical Clustering Method

2021 ◽  
Vol 2 (1) ◽  
pp. 70-75
Author(s):  
Rizal Tjut Adek ◽  
Rozzy Kesuma Dinata ◽  
Ananda Ditha
Keyword(s):  
Hierarchical Clustering ◽  
Online News ◽  
Agglomerative Hierarchical Clustering ◽  
Clustering Method ◽  
Text Documents ◽  
Online Newspapers ◽  
Internet Users ◽  
Average Accuracy ◽  
Online Newspaper ◽  
Using Data

The rapid progress in the field of information technology, especially the internet, has given birth to a lot of information. The ease of publishing an article on a website causes an explosion of news pages which will certainly confuse readers. The diversity and the increasing number of news articles make it increasingly difficult for internet users to find news and large piles of news data on online newspaper sites in Aceh. The grouping of text documents is needed to classify news in online newspapers in Aceh based on the content contained in news articles. In this study, the process of grouping online news in Aceh was tried using the Agglomerative Hierarchical Clustering method. News is grouped with a Bottom-Up design strategy that starts with placing each object as a cluster then combined into a larger cluster based on the similarity of keywords in each news, then the cluster results are compared and put into each news category. The research design was carried out in a structured manner using data flow diagrams in forming the research framework. The study was conducted by taking online news text data on 10 online news websites in Aceh from July 2016 to March 2017 with 1000 randomly generated documents. The process of crawling news data is done using a php script which will only take text files from the news on the website. News grouping is done based on religion, politics, law, sports, tourism, education, culture, economy and technology. The results of the grouping performance of the Agglomerative Hierarchical Clustering method in this study have an average accuracy of 89.84%.

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