A Study on the Perception-building Process of AIDS : Topic-modeling for Perceptions and Knowledge Level of Audiences and Media Reports about AIDS

2021 ◽  
Vol 130 ◽  
pp. 5-36
Author(s):  
Daewook Kim
Keyword(s):  
Topic Modeling ◽  
Knowledge Level ◽  
Building Process ◽  
Media Reports

scholarly journals Health Communication Through News Media During the Early Stage of the COVID-19 Outbreak in China: Digital Topic Modeling Approach (Preprint)

2020 ◽  
Author(s):  
Qian Liu ◽  
Zequan Zheng ◽  
Jiabin Zheng ◽  
Qiuyi Chen ◽  
Guan Liu ◽  
...  
Keyword(s):  
Mass Media ◽  
Health Communication ◽  
News Media ◽  
Topic Modeling ◽  
Latent Dirichlet Allocation ◽  
Community Education ◽  
Early Stage ◽  
News Reports ◽  
Media Reports ◽  
Novel Coronavirus

BACKGROUND In December 2019, a few coronavirus disease (COVID-19) cases were first reported in Wuhan, Hubei, China. Soon after, increasing numbers of cases were detected in other parts of China, eventually leading to a disease outbreak in China. As this dreadful disease spreads rapidly, the mass media has been active in community education on COVID-19 by delivering health information about this novel coronavirus, such as its pathogenesis, spread, prevention, and containment. OBJECTIVE The aim of this study was to collect media reports on COVID-19 and investigate the patterns of media-directed health communications as well as the role of the media in this ongoing COVID-19 crisis in China. METHODS We adopted the WiseSearch database to extract related news articles about the coronavirus from major press media between January 1, 2020, and February 20, 2020. We then sorted and analyzed the data using Python software and Python package Jieba. We sought a suitable topic number with evidence of the coherence number. We operated latent Dirichlet allocation topic modeling with a suitable topic number and generated corresponding keywords and topic names. We then divided these topics into different themes by plotting them into a 2D plane via multidimensional scaling. RESULTS After removing duplications and irrelevant reports, our search identified 7791 relevant news reports. We listed the number of articles published per day. According to the coherence value, we chose 20 as the number of topics and generated the topics’ themes and keywords. These topics were categorized into nine main primary themes based on the topic visualization figure. The top three most popular themes were prevention and control procedures, medical treatment and research, and global or local social and economic influences, accounting for 32.57% (n=2538), 16.08% (n=1258), and 11.79% (n=919) of the collected reports, respectively. CONCLUSIONS Topic modeling of news articles can produce useful information about the significance of mass media for early health communication. Comparing the number of articles for each day and the outbreak development, we noted that mass media news reports in China lagged behind the development of COVID-19. The major themes accounted for around half the content and tended to focus on the larger society rather than on individuals. The COVID-19 crisis has become a worldwide issue, and society has become concerned about donations and support as well as mental health among others. We recommend that future work addresses the mass media’s actual impact on readers during the COVID-19 crisis through sentiment analysis of news data.

scholarly journals When Does Diffusing Protest Lead to Local Organization Building? Evidence from a Comparative Subnational Study of Russia’s “For Fair Elections” Movement

2020 ◽  
pp. 1-16
Author(s):  
Jan Matti Dollbaum
Keyword(s):  
Social Media ◽  
Political System ◽  
Authoritarian Regimes ◽  
Social Movement Organizations ◽  
Russian Regions ◽  
Building Process ◽  
Political Environments ◽  
Media Reports ◽  
New Social Movement ◽  
Movement Organizations

Under what conditions do nation-wide mass protests in authoritarian regimes produce new local activist organizations? Based on sixty-five interviews and over 1,000 media reports, internal documents, and social media posts, I compare the organization-building process in the “For Fair Elections” (FFE) protests of 2011–2012 across four Russian regions. I argue that mass protests are more likely to leave behind new social movement organizations (SMOs) when the local and the national interact, i.e., when long-standing activists on the ground perceive an opportunity to use the protests for their ongoing local struggles. Where new SMOs are established, their composition, activity pattern, and inner structure follow the tactical and organizational repertoires of veteran activists that were shaped by their local political environments. This argument illuminates the functioning of electoral authoritarian regimes from a subnational perspective and identifies conditions under which a bottom-up challenge to an authoritarian political system can drive local civil society development.

scholarly journals „LOVEN ER KUN FOR DE SMÅ FOLK“: Sandhedskommissioner og fremstillinger af (u)retfærdighed i nationsop bygningsprocessen i Østtimor

2008 ◽  
Author(s):  
Maj Nygaard-Christensen
Keyword(s):  
Nation Building ◽  
Truth Commissions ◽  
Nationalist Movement ◽  
Political Debates ◽  
Diffi Cult ◽  
Building Process ◽  
Timor Leste ◽  
Media Reports ◽  
Brighter Future

This article is based on fi eldwork conducted in Timor Leste in 2004-5 and an ongoing fi eldwork commenced in early 2007. It is inspired by the frequent references to justice – and particularly to injustice – in political debates, public protests and media reports during both fi eldworks. The article examines how approaches to justice represented by the two truth commissions, CAVR and CTF, relate to alternative notions of justice in the nation-building process. The study should further show how the early nationalist movement created an idea of “The People” as united by a sense of shared suffering, and their enjoined fi ght against injustices. This notion of a people bonded through an experience of injustice created big expectations that independence would deliver better times. The same can be said for the time of the “post-confl ict”; the context in which most truth commissions operate. The “post-confl ict” period proved to be problematic with its inherent promises of a break with a diffi cult past. The article sees truth commissions as institutionalised attempts to realise this desire towards a break with a violent past in favour of a brighter future. However, in Timor Leste, the present does not yet live up to expectations created towards justice and social change, and the article further examines how, as a result, new understandings of justice come into being after independence.  

scholarly journals Health Communication Through News Media During the Early Stage of the COVID-19 Outbreak in China: Digital Topic Modeling Approach

10.2196/19118 ◽  
2020 ◽  
Vol 22 (4) ◽  
pp. e19118 ◽  
Author(s):  
Qian Liu ◽  
Zequan Zheng ◽  
Jiabin Zheng ◽  
Qiuyi Chen ◽  
Guan Liu ◽  
...  
Keyword(s):  
Mass Media ◽  
Health Communication ◽  
News Media ◽  
Topic Modeling ◽  
Latent Dirichlet Allocation ◽  
Community Education ◽  
Early Stage ◽  
News Reports ◽  
Media Reports ◽  
Novel Coronavirus

Background In December 2019, a few coronavirus disease (COVID-19) cases were first reported in Wuhan, Hubei, China. Soon after, increasing numbers of cases were detected in other parts of China, eventually leading to a disease outbreak in China. As this dreadful disease spreads rapidly, the mass media has been active in community education on COVID-19 by delivering health information about this novel coronavirus, such as its pathogenesis, spread, prevention, and containment. Objective The aim of this study was to collect media reports on COVID-19 and investigate the patterns of media-directed health communications as well as the role of the media in this ongoing COVID-19 crisis in China. Methods We adopted the WiseSearch database to extract related news articles about the coronavirus from major press media between January 1, 2020, and February 20, 2020. We then sorted and analyzed the data using Python software and Python package Jieba. We sought a suitable topic number with evidence of the coherence number. We operated latent Dirichlet allocation topic modeling with a suitable topic number and generated corresponding keywords and topic names. We then divided these topics into different themes by plotting them into a 2D plane via multidimensional scaling. Results After removing duplications and irrelevant reports, our search identified 7791 relevant news reports. We listed the number of articles published per day. According to the coherence value, we chose 20 as the number of topics and generated the topics’ themes and keywords. These topics were categorized into nine main primary themes based on the topic visualization figure. The top three most popular themes were prevention and control procedures, medical treatment and research, and global or local social and economic influences, accounting for 32.57% (n=2538), 16.08% (n=1258), and 11.79% (n=919) of the collected reports, respectively. Conclusions Topic modeling of news articles can produce useful information about the significance of mass media for early health communication. Comparing the number of articles for each day and the outbreak development, we noted that mass media news reports in China lagged behind the development of COVID-19. The major themes accounted for around half the content and tended to focus on the larger society rather than on individuals. The COVID-19 crisis has become a worldwide issue, and society has become concerned about donations and support as well as mental health among others. We recommend that future work addresses the mass media’s actual impact on readers during the COVID-19 crisis through sentiment analysis of news data.

Innovative Approach to Information Search by Example of a Patent Analysis of an Important Substitution Plan

2020 ◽  
pp. 143-157
Author(s):  
Maria A. Milkova
Keyword(s):  
Information Search ◽  
Topic Modeling ◽  
Cognitive Biases ◽  
A Priori ◽  
Import Substitution ◽  
Innovative Approach ◽  
Iterative Search ◽  
Comprehensive Picture ◽  
Priori Information ◽  
Selection Of

Nowadays the process of information accumulation is so rapid that the concept of the usual iterative search requires revision. Being in the world of oversaturated information in order to comprehensively cover and analyze the problem under study, it is necessary to make high demands on the search methods. An innovative approach to search should flexibly take into account the large amount of already accumulated knowledge and a priori requirements for results. The results, in turn, should immediately provide a roadmap of the direction being studied with the possibility of as much detail as possible. The approach to search based on topic modeling, the so-called topic search, allows you to take into account all these requirements and thereby streamline the nature of working with information, increase the efficiency of knowledge production, avoid cognitive biases in the perception of information, which is important both on micro and macro level. In order to demonstrate an example of applying topic search, the article considers the task of analyzing an import substitution program based on patent data. The program includes plans for 22 industries and contains more than 1,500 products and technologies for the proposed import substitution. The use of patent search based on topic modeling allows to search immediately by the blocks of a priori information – terms of industrial plans for import substitution and at the output get a selection of relevant documents for each of the industries. This approach allows not only to provide a comprehensive picture of the effectiveness of the program as a whole, but also to visually obtain more detailed information about which groups of products and technologies have been patented.

Restoration of two great auk (Pinguinus impennis) eggs: Bourman Labrey's egg and the Scarborough egg

2020 ◽  
Vol 47 (2) ◽  
pp. 392-401
Author(s):  
T. R. Birkhead ◽  
G. Axon ◽  
J. R. Middleton
Keyword(s):  
Black Light ◽  
Private Collection ◽  
Different Types ◽  
The Media ◽  
Media Reports ◽  
Public Museums ◽  
Private Collections ◽  
Time Of Collection ◽  
Extensive Damage

Most of the approximately 75 known eggs of the extinct great auk ( Pinguinus impennis) are in public museums, with a few in private collections. A small number of these eggs has sustained damage, either at the time of collection or subsequently, and two of these eggs are known to have been repaired. The two eggs suffered rather different types of damage and were subsequently restored using different techniques. The first, known as Bourman Labrey's egg, sustained extensive damage sometime prior to the 1840s, when the shell was broken into numerous pieces. This egg was repaired by William Yarrell in the 1840s, and when it was restored again in 2018, it was discovered that Yarrell's restoration had involved the use of an elaborate cardboard armature. This egg is currently in a private collection. The second egg, known as the Scarborough egg, bequeathed to the Scarborough Museum in 1877, was damaged (by unknown causes) and repaired, probably by the then curator at Scarborough, W. J. Clarke, in 1906. This egg was damaged when one or more pieces were broken adjacent to the blowhole at the narrow end (where there was some pre-existing damage). The media reports at the time exaggerated the extent of the damage, suggesting that the egg was broken almost in two. Possible reasons for this exaggeration are discussed. Recent examination using a black light and ultraviolet (UV) revealed that the eggshell had once borne the words, “a Penguin's Egg”, that were subsequently removed by scraping.

UNRWA and the Palestinian Nation-Building Process

2000 ◽  
Vol 29 (2) ◽  
pp. 51-64 ◽  
Author(s):  
Jalal al-Husseini
Keyword(s):  
Nation Building ◽  
Building Process
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