scholarly journals Mining Text in Online News Reports of COVID-19 Virus: Key Phrase Extractions and Graphic Modeling

2020 ◽  
Author(s):  
Wen-Ta Tseng
Keyword(s):  
Online News ◽  
News Reports ◽  
Graphic Modeling

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.  

Narrative transparency and credibility: First–person process statements in video news

2021 ◽  
pp. 135485652110278
Author(s):  
Mary Angela Bock ◽  
Allison Lazard
Keyword(s):  
Online News ◽  
First Person ◽  
Ethical Imperative ◽  
News Reports ◽  
Distinct Variable ◽  
Audience Effects ◽  
News Organizations ◽  
Reporting Process ◽  
The Impact ◽  
The Way

Journalism critics have argued that transparency about the reporting process is an ethical imperative. Convergence offers news organizations opportunities for changed writing styles that may foster more transparency, especially as they embrace video storytelling. This project used two experiments to investigate the impact of transparent language on the way online news consumers perceive the credibility of video news reports. The study operationalized transparency in narrative as the use of first-person statements and references to the newsgathering process. Subjects noticed transparency statements but this had no significant effect on their assessment of the credibility of a story or reporter. The results suggest that transparency is a distinct variable with a complicated relationship to other audience effects.

scholarly journals KNN classifier based approach for multi-class sentiment analysis of twitter data

2018 ◽  
Vol 7 (3) ◽  
pp. 1372
Author(s):  
Soudamini Hota ◽  
Sudhir Pathak
Keyword(s):  
Sentiment Analysis ◽  
Opinion Mining ◽  
Nearest Neighbor ◽  
Learning Algorithm ◽  
Online News ◽  
Classification Algorithm ◽  
Sentiment Classification ◽  
Supervised Machine Learning ◽  
K Nearest Neighbor ◽  
News Reports

‘Sentiment’ literally means ‘Emotions’. Sentiment analysis, synonymous to opinion mining, is a type of data mining that refers to the analy-sis of data obtained from microblogging sites, social media updates, online news reports, user reviews etc., in order to study the sentiments of the people towards an event, organization, product, brand, person etc. In this work, sentiment classification is done into multiple classes. The proposed methodology based on KNN classification algorithm shows an improvement over one of the existing methodologies which is based on SVM classification algorithm. The data used for analysis has been taken from Twitter, this being the most popular microblogging site. The source data has been extracted from Twitter using Python’s Tweepy. N-Gram modeling technique has been used for feature extraction and the supervised machine learning algorithm k-nearest neighbor has been used for sentiment classification. The performance of proposed and existing techniques is compared in terms of accuracy, precision and recall. It is analyzed and concluded that the proposed technique performs better in terms of all the standard evaluation parameters. 

Short Note: Rape A Consequence of Covid-19 Quarantine on Children and The Elderly: A Call for Action

2021 ◽  
Vol SI ◽  
pp. 85-95
Author(s):  
Grace Emmanuel Kaka ◽  
Muhamad Helmi Md Said ◽  
Shahrul Mizan Ismail
Keyword(s):  
Domestic Violence ◽  
Short Note ◽  
The Elderly ◽  
Online News ◽  
News Reports ◽  
High Prevalence ◽  
The Government ◽  
Good Policy ◽  
Novel Coronavirus ◽  
The Impact

The novel coronavirus (Covid-19) led to a shift in the social structure of global cities leading to self-isolation and social/physical distancing to curb the spread of the virus. While these two are stand as good policy, they are greeted by domestic violence and rape as the most prevalent consequences. The researchers examined the impact of lockdown on domestic violence in Nigeria based on frequency of news reports using content analysis of two online news reports and discovered a high prevalence of rape on children (0 - 17 years) and elderly (60 years and above). Hence it is suggested that the government should always be prepared for emergencies. Also, future polices should consider the interest of the most vulnerable in the society by providing safety measures.

625 Death Due to Fractal Wood Burning: An Emerging Public Health Problem

2020 ◽  
Vol 41 (Supplement_1) ◽  
pp. S158-S158
Author(s):  
Harold Campbell ◽  
Rabia Nizamani ◽  
Samuel W Jones ◽  
Bruce Cairns ◽  
Felicia N Williams
Keyword(s):  
Public Health ◽  
Upper Extremity ◽  
High Voltage ◽  
Health Problem ◽  
Public Health Problem ◽  
Online News ◽  
Voltage Transformer ◽  
News Reports ◽  
Burn Center ◽  
Electrical Burns

Abstract Introduction The art of pyrography, creating designs in wood with a thermal heat source, dates back to prehistory. Risks include cutaneous burns and airway injury. Fractal woodburning is a niche method of pyrography utilizing a high-voltage electrical source to burn branched designs – Lichtenberg patterns – into the surface of wood. While this technique has grown in popularity, the associated risks are not well described. Methods We describe a patient who presented to our burn center after sustaining high-voltage electrical burns from a homemade high-voltage device constructed for fractal woodburning. We also evaluated publicly reported cases of death or injury due to this technique. Results An otherwise healthy 17-year-old male was admitted to our burn center with injuries sustained while making fractal wood art. The patient improvised a high-voltage transformer from a discarded microwave, generating 2000 volts from household current. While using this device to burn Lichtenberg patterns in wood, he contacted the electrodes and sustained full-thickness electrical burns to the neck, chest, and bilateral upper extremities. Bilateral upper extremity fasciotomies were required on admission. Multiple subsequent operative procedures culminated with autografting to the majority of the wounds and ongoing complex reconstruction of the left thumb. In evaluating online news reports, we found 21 unique individuals with death or injury attributed to fractal woodburning. Four sustained substantial injuries, while 17 reportedly died. The first reported incident occurred in July 2016 and the most recent report was from July 2019. Ages ranged from 17 years old to the 60s. Eighteen individuals were younger than 50 years old. All of the mortalities and 3 of the 4 injuries occurred in males. Of the survivors, 3 sustained significant upper extremity injuries and 2 suffered cardiac arrest at the time of injury. The devices used in 4 incidents were microwave transformers and generated 2000 volts. Device characteristics were not identified in the remainder of cases. Conclusions Fractal woodburning is associated with devastating high-voltage electrical injuries and death. Prevention efforts should be focused on the potential risks of this art form. Applicability of Research to Practice News reports likely underestimate the actual incidence of injury and death due to fractal woodburning, however, even this limited data suggests an emerging public health problem requiring further study and public education.

scholarly journals Idiulūjiyyah wasāʼil al-iʽlām al-jamāhīriyyah al-Indūnisiyyah ʽibar al-internet fi naql akhbār aş-şirāʽ as-siyāsī fī asy-syarq al-awsaţ

2021 ◽  
Vol 10 (1) ◽  
pp. 137-165
Author(s):  
Yufni Faisol ◽  
Syofyan Hadi ◽  
Reflinaldi Reflinaldi
Keyword(s):  
United States ◽  
Middle East ◽  
Mass Media ◽  
The United States ◽  
Online News ◽  
Point Of View ◽  
News Reporting ◽  
News Reports ◽  
Qualitative Descriptive ◽  
Conflict Information

This study aims to explore the forms of information reproduction in online mass media, with specific issues on Middle East conflicts. The present study adopts a qualitative descriptive model. The data were collected from the news reports on the Syrian conflicts by some leading online news platforms such as Republika, Kompas and Tempo. The data were taken from January to October 2018 and were analyzed using the qualitative analysis stages of the Miles and Huberman model. The research findings indicate that each mass media has differences in reproducing Middle East conflict information, in terms of their data source and point of view of news reporting. Republika tends to take the opposition's point of view to the Syrian government so that it puts the United States and its allies as its main subject. On the contrary, Kompas departed from the point of view of sympathy for the Syrian government and its allies, jeopardizing the United States and its allies in reporting. The third media, Tempo, takes the point of view of narrating events chronologically and focuses a lot on humanitarian issues in the news they deliver.

scholarly journals Challenges for pregnant women seeking institutional care during the COVID-19 lockdown in India: A content analysis of online news reports

2021 ◽  
pp. 01-13
Author(s):  
Surbhi Shrivastava ◽  
Saurabh Rai ◽  
M Sivakami
Keyword(s):  
Content Analysis ◽  
Pregnant Women ◽  
Qualitative Content Analysis ◽  
Institutional Care ◽  
Online News ◽  
Health Facilities ◽  
Respectful Maternity Care ◽  
News Reports ◽  
Access To Health ◽  
Physical Access

Abstract India’s nationwide lockdown to curtail the transmission of Covid-19 has given rise to concerns over the health system’s response to maternal and child health (MCH) services. This paper aims to understand the challenges faced by pregnant women seeking institutional care during the lockdown. We conducted a qualitative content analysis of 54 online news reports, published in English and Hindi, between 25 March 2020 and 31 May 2020. They covered cases across 17 states in India and 16 maternal deaths. Three broad thematic categories of challenges for pregnant women emerged from the analysis: 1) physical access to health facilities, 2) admission to health facilities, and 3) lack of respectful maternity care during the lockdown. In conclusion, strengthening health systems and incorporating MCH into the Covid-19 response is imperative. Failure to provide quality MCH services during the lockdown has implications for the continuum of women’s care, maternal mortality, and human rights.

scholarly journals Corpus-based Comparative Study of Online News Reporting of the COVID-19 Outbreak in the Philippines and Malaysia

2021 ◽  
Author(s):  
Gio Eiron Villanueva
Keyword(s):  
News Media ◽  
Early Period ◽  
The Philippines ◽  
Online News ◽  
Personal Hygiene ◽  
Health Crisis ◽  
News Reporting ◽  
The Public ◽  
News Reports ◽  
The Government

When faced with new and threatening events like a global health crisis, the public tends to draw inferences from news media to make sense of the uncertainties of the situation. This study explores how online news media in the Philippines and Malaysia depicted the outbreak of COVID-19 during the early period of its spread. The study analyzes the discourse around the outbreak based on a large corpus of Facebook news posts between January and March 2020. Using a corpus-based approach called Keyness Analysis, salient themes & topics, and framings around the disease were identified and interpreted. The results show the differences in the reporting of the outbreak between the two countries. News reports in the Philippines depicted the disease in an enigmatic lens which explains the alarmist angle of news reports and the reassuring tone of the government, versus the war framing of Malaysian news that depicted the disease as an enemy to be fought and defeated. In reporting about the bid to contain the spread of the virus, Philippine news reports dealt mostly with the restrictions and regulations of movement while the Malaysian news covered more issues on personal hygiene and safety protocols. Lastly, concerns for Filipino seafarers and Overseas Filipino Workers (OFW) that needs to be repatriated was a recurring theme in Philippine news reports regarding COVID-19, while concerns for the economy was prominent in the Malaysian news reports. The study therefore shows that the depiction of COVID-19 in Malaysia and the Philippines are shaped by each country’s present social and political conditions.

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