scholarly journals Comparing News and Tweets about COVID-19 in Brazil (Preprint)

2020 ◽  
Author(s):  
Tiago de Melo ◽  
Carlos M. S. Figueiredo
Keyword(s):  
Sentiment Analysis ◽  
News Media ◽  
Political Polarization ◽  
Internet Media ◽  
High Incidence ◽  
The World ◽  
Important Approach ◽  
Topic Sentiment ◽  
Negative Sentiment ◽  
Over Time

BACKGROUND COVID-19 pandemic is severely affecting people all over the world. Nowadays, an important approach to understand such a phenomenon and its impacts on the lives of people consists of monitoring social networks and news on Internet. OBJECTIVE COVID-19 pandemic is severely affecting people all over the world. Nowadays, an important approach to understand such a phenomenon and its impacts on the lives of people consists of monitoring social networks and news on Internet. METHODS This work proposes a methodology based on topic modeling, named entity recognition and sentiment analysis of the text to compare Twitter posts and news, followed by envision of COVID evolution and impacts. We have focused on an analysis in Brazil, one important epicenter of the pandemic in the world, so we have faced the challenge to deal with Brazilian Portuguese texts. RESULTS This work collected and analysed 18,413 articles from news media, and 1,597,934 tweets posted by 1,299,084 users in Brazil. Results show that the proposed methodology improved the topic-sentiment analysis over time, so a better monitoring of Internet media is allowed. Besides, with this tool, we extracted some interesting insights about COVID evolution in Brazil. For instance, we found out that Twitter presents similar topic coverage from news media, the main entities are similar, but they differ in theme distribution and entity diversity. Besides, some aspects represent a negative sentiment of political theme from both media, and a high incidence of mentions to a specific drug denotes a high political polarization of the pandemic. CONCLUSIONS This work collected and analysed 18,413 articles from news media, and 1,597,934 tweets posted by 1,299,084 users in Brazil. Results show that the proposed methodology improved the topic-sentiment analysis over time, so a better monitoring of Internet media is allowed. Besides, with this tool, we extracted some interesting insights about COVID evolution in Brazil. For instance, we found out that Twitter presents similar topic coverage from news media, the main entities are similar, but they differ in theme distribution and entity diversity. Besides, some aspects represent a negative sentiment of political theme from both media, and a high incidence of mentions to a specific drug denotes a high political polarization of the pandemic.

scholarly journals Comparing News Articles and Tweets About COVID-19 in Brazil: Sentiment Analysis and Topic Modeling Approach

10.2196/24585 ◽  
2021 ◽  
Vol 7 (2) ◽  
pp. e24585
Author(s):  
Tiago de Melo ◽  
Carlos M S Figueiredo
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
News Media ◽  
Topic Modeling ◽  
Entity Recognition ◽  
Political Polarization ◽  
Important Approach ◽  
Topic Sentiment ◽  
The Impact ◽  
Over Time

Background The COVID-19 pandemic is severely affecting people worldwide. Currently, an important approach to understand this phenomenon and its impact on the lives of people consists of monitoring social networks and news on the internet. Objective The purpose of this study is to present a methodology to capture the main subjects and themes under discussion in news media and social media and to apply this methodology to analyze the impact of the COVID-19 pandemic in Brazil. Methods This work proposes a methodology based on topic modeling, namely entity recognition, and sentiment analysis of texts to compare Twitter posts and news, followed by visualization of the evolution and impact of the COVID-19 pandemic. We focused our analysis on Brazil, an important epicenter of the pandemic; therefore, we faced the challenge of addressing Brazilian Portuguese texts. Results In this work, we collected and analyzed 18,413 articles from news media and 1,597,934 tweets posted by 1,299,084 users in Brazil. The results show that the proposed methodology improved the topic sentiment analysis over time, enabling better monitoring of internet media. Additionally, with this tool, we extracted some interesting insights about the evolution of the COVID-19 pandemic in Brazil. For instance, we found that Twitter presented similar topic coverage to news media; the main entities were similar, but they differed in theme distribution and entity diversity. Moreover, some aspects represented negative sentiment toward political themes in both media, and a high incidence of mentions of a specific drug denoted high political polarization during the pandemic. Conclusions This study identified the main themes under discussion in both news and social media and how their sentiments evolved over time. It is possible to understand the major concerns of the public during the pandemic, and all the obtained information is thus useful for decision-making by authorities.

scholarly journals Caught in the Nexus: A Comparative and Longitudinal Analysis of Public Trust in the Press

2017 ◽  
Vol 23 (1) ◽  
pp. 3-23 ◽  
Author(s):  
Thomas Hanitzsch ◽  
Arjen Van Dalen ◽  
Nina Steindl
Keyword(s):  
Political Institutions ◽  
News Media ◽  
Political Trust ◽  
The United States ◽  
Public Sentiment ◽  
The Press ◽  
The World ◽  
Key Factor ◽  
European Values ◽  
Over Time

Despite signs of declining press trust in many western countries, we know little about trends in press trust across the world. Based on comparative survey data from the World Values Survey (WVS) and European Values Study (EVS), this study looks into national levels of trust in the press and identifies factors that drive differences across societies and individuals as well as over time. Findings indicate that the widely noted decline in media trust is not a universal trend; it is true for only about half of the studied countries, with the United States experiencing the largest and most dramatic drop in trust in the press. Political trust has emerged as key factor for our understanding of trust in the press. We found robust evidence for what we called the trust nexus—the idea that trust in the news media is strongly linked to the way publics look at political institutions. The link between press trust and political trust was considerably stronger in politically polarized societies. Furthermore, our analysis indicates that the relation between press trust and political trust is becoming stronger over time. We reason that the strong connection between media and political trust may be driven by a growing public sentiment against elite groups.

Globalization and interconfessional communications

2001 ◽  
pp. 13-17
Author(s):  
Serhii Viktorovych Svystunov
Keyword(s):  
21St Century ◽  
Global Economy ◽  
Modern World ◽  
The World ◽  
Target Set ◽  
Almost All ◽  
Over Time ◽  
Rapid Appearance

In the 21st century, the world became a sign of globalization: global conflicts, global disasters, global economy, global Internet, etc. The Polish researcher Casimir Zhigulsky defines globalization as a kind of process, that is, the target set of characteristic changes that develop over time and occur in the modern world. These changes in general are reduced to mutual rapprochement, reduction of distances, the rapid appearance of a large number of different connections, contacts, exchanges, and to increase the dependence of society in almost all spheres of his life from what is happening in other, often very remote regions of the world.

The Values and Norms of Islam

2010 ◽  
Vol 1 (1) ◽  
pp. 1-19
Author(s):  
Ahmed Akgunduz
Keyword(s):  
Islamic Law ◽  
Legal Theory ◽  
The Other ◽  
Moral Norms ◽  
Simple Fact ◽  
Value System ◽  
Legal Norms ◽  
Islamic Legal Theory ◽  
The World ◽  
Over Time

AbstractIslamic Law is one of the broadest and most comprehensive systems of legislation in the world. It was applied, through various schools of thought, from one end of the Muslim world to the other. It also had a great impact on other nations and cultures. We will focus in this article on values and norms in Islamic law. The value system of Islam is immutable and does not tolerate change over time for the simple fact that human nature does not change. The basic values and needs (which can be called maṣlaḥa) are classified hierarchically into three levels: (1) necessities (Ḍarūriyyāt), (2) convenience (Ḥājiyyāt), and (3) refinements (Kamāliyyāt=Taḥsīniyyāt). In Islamic legal theory (Uṣūl al‐fiqh) the general aim of legislation is to realize values through protecting and guaranteeing their necessities (al-Ḍarūriyyāt) as well as stressing their importance (al‐ Ḥājiyyāt) and their refinements (taḥsīniyyāt).In the second part of this article we will draw attention to Islamic norms. Islam has paid great attention to norms that protect basic values. We cannot explain all the Islamic norms that relate to basic values, but we will classify them categorically. We will focus on four kinds of norms: 1) norms (rules) concerned with belief (I’tiqādiyyāt), 2) norms (rules) concerned with law (ʿAmaliyyāt); 3) general legal norms (Qawā‘id al‐ Kulliyya al‐Fiqhiyya); 4) norms (rules) concerned with ethics (Wijdāniyyāt = Aḵlāqiyyāt = Ādāb = social and moral norms).

Use of Phosphatidylcholine in the Treatment of Localized Fat Deposits. Results and expectations

2017 ◽  
Vol 68 (7) ◽  
pp. 1438-1441 ◽  
Author(s):  
Sorin Berbece ◽  
Dan Iliescu ◽  
Valeriu Ardeleanu ◽  
Alexandru Nicolau ◽  
Radu Cristian Jecan
Keyword(s):  
World Health Organisation ◽  
Normal Weight ◽  
World Health ◽  
Basic Substance ◽  
Physical Exercises ◽  
Fat Deposits ◽  
The World ◽  
The Common ◽  
Global Health Problem ◽  
Over Time

Obesity represents a global health problem. According to the latest studies released by the World Health Organisation (WHO), 1.7 billion currently in excess of normal weight individuals, of which approx. 75% are overweight (body mass index - BMI 25 to 30). The common form of excess adipose tissue manifestation in overweight individuals is localized fat deposits with high (abdominal) or low (buttocks and thighs) disposition. Although the overweight can be corrected relatively easy by changing behavioral habits or food, a constant physical exercises program or following a diet food are not accessible to all through the efforts of will, financial and time involved. Several methods have been studied and tested over time to eliminate more or less invasive fat deposits with varying efficacy and adverse effects. Chemical lipolysis using phosphatidylcholine as the basic substance was initially used in hypercholesterolemia and its complications and was rapidly adopted in mesotherapy techniques for the treatment of fat deposits. This study reveals the results obtained using Dermastabilon on a sample of 16 patients, the time allocated to treatment and discomfort being minimal, and rapid and notable results. There were no side effects.

The Staging of Large Wastewater Treatment Plants - A “Modular” Approach

1992 ◽  
Vol 25 (4-5) ◽  
pp. 67-73
Author(s):  
H. Fleckseder ◽  
L. Prendl ◽  
H. Meulenbroek
Keyword(s):  
Wastewater Treatment ◽  
Driving Force ◽  
Wastewater Treatment Plants ◽  
Aeration Tank ◽  
Modular Approach ◽  
Central European ◽  
Plant Hydraulics ◽  
The World ◽  
Whole Life Cycle ◽  
Over Time

The primary driving force for re-investments in wastewater treatment plants in Austria - and also other countries in Central Europe - is at present not an increase in load to treatment but a marked increase in effluent requirements to be fulfilled. (The re-investments necessary for sludge handling and treatment remain outside this paper.) Within a period of 20 years, the load specific requirements on aeration tank volume rose five- to tenfold, when Lv = 2.0 kg BOD5/(m3d) was the starting value, and roughly doubled for final clarifiers. In addition, the importance of the application and expansion of primary sedimentation decreased as well. This development over time in Central European countries as well as the need to utilize previous investments as long as possible - 35 to 60 years for civil works are common as periods of depreciation - indicate that investments in new plant at any location in the world have to consider the possible whole life cycle of a plant and that plant hydraulics becomes the “key hook” for expandability.

Document Preprocessing with TF-IDF to Improve the Polarity Classification Performance of Unstructured Sentiment Analysis

2020 ◽  
pp. 235-242
Author(s):  
Farrikh Alzami ◽  
Erika Devi Udayanti ◽  
Dwi Puji Prabowo ◽  
Rama Aria Megantara
Keyword(s):  
Machine Learning ◽  
Feature Extraction ◽  
Random Forest ◽  
Sentiment Analysis ◽  
Classification Performance ◽  
Document Preparation ◽  
Learning Models ◽  
Polarity Classification ◽  
Negative Sentiment ◽  
Machine Learning Models

Sentiment analysis in terms of polarity classification is very important in everyday life, with the existence of polarity, many people can find out whether the respected document has positive or negative sentiment so that it can help in choosing and making decisions. Sentiment analysis usually done manually. Therefore, an automatic sentiment analysis classification process is needed. However, it is rare to find studies that discuss extraction features and which learning models are suitable for unstructured sentiment analysis types with the Amazon food review case. This research explores some extraction features such as Word Bags, TF-IDF, Word2Vector, as well as a combination of TF-IDF and Word2Vector with several machine learning models such as Random Forest, SVM, KNN and Naïve Bayes to find out a combination of feature extraction and learning models that can help add variety to the analysis of polarity sentiments. By assisting with document preparation such as html tags and punctuation and special characters, using snowball stemming, TF-IDF results obtained with SVM are suitable for obtaining a polarity classification in unstructured sentiment analysis for the case of Amazon food review with a performance result of 87,3 percent.

A Downward Spiral? A Panel Study of Misinformation and Media Trust in Chile

2021 ◽  
pp. 194016122110252
Author(s):  
Sebastián Valenzuela ◽  
Daniel Halpern ◽  
Felipe Araneda
Keyword(s):  
News Media ◽  
Panel Study ◽  
Future Research ◽  
Panel Survey ◽  
Downward Spiral ◽  
The Media ◽  
Media Trust ◽  
People’S Attitudes ◽  
Over Time

Despite widespread concern, research on the consequences of misinformation on people's attitudes is surprisingly scant. To fill in this gap, the current study examines the long-term relationship between misinformation and trust in the news media. Based on the reinforcing spirals model, we analyzed data from a three-wave panel survey collected in Chile between 2017 and 2019. We found a weak, over-time relationship between misinformation and media skepticism. Specifically, initial beliefs on factually dubious information were negatively correlated with subsequent levels of trust in the news media. Lower trust in the media, in turn, was related over time to higher levels of misinformation. However, we found no evidence of a reverse, parallel process where media trust shielded users against misinformation, further reinforcing trust in the news media. The lack of evidence of a downward spiral suggests that the corrosive effects of misinformation on attitudes toward the news media are less serious than originally suggested. We close with a discussion of directions for future research.

scholarly journals TIME THROUGH TIME: ITS EVOLUTION THROUGH WESTERN PHILOSOPHY IN SEVEN IDEAS

Think ◽  
2021 ◽  
Vol 20 (58) ◽  
pp. 23-38
Author(s):  
Emily Thomas
Keyword(s):  
Western Philosophy ◽  
The World ◽  
History Of ◽  
Over Time

ABSTRACTWhat is time? Just like everything else in the world, our understanding of time has changed continually over time. This article tracks this question through the history of Western philosophy and looks at major answers from the likes of Aristotle, Kant, and McTaggart.

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