scholarly journals Climate change on Twitter: Content, media ecology and information sharing behaviour

2015 ◽  
Vol 26 (6) ◽  
pp. 721-737 ◽  
Author(s):  
Giuseppe A. Veltri ◽  
Dimitrinka Atanasova
Keyword(s):  
Climate Change ◽  
Information Sharing ◽  
Semantic Network ◽  
Media Ecology ◽  
Semantic Network Analysis ◽  
Different Types ◽  
Challenges And Opportunities ◽  
The Media ◽  
Types Of Information ◽  
Communicative Space

This article presents a study of the content, use of sources and information sharing about climate change analysing over 60,000 tweets collected using a random week sample. We discuss the potential for studying Twitter as a communicative space that is rich in different types of information and presents both new challenges and opportunities. Our analysis combines automatic thematic analysis, semantic network analysis and text classification according to psychological process categories. We also consider the media ecology of tweets and the external web links that users shared. In terms of content, the network of topics uncovered presents a multidimensional discourse that accounts for complex causal links between climate change and its consequences. The media ecology analysis revealed a narrow set of sources with a major role played by traditional media and that emotionally arousing text was more likely to be shared.

scholarly journals Actors and justifications in media debates on Arctic climate change in Finland and Canada: A network approach

2020 ◽  
pp. 000169931989090 ◽  
Author(s):  
Anna Kukkonen ◽  
Mark CJ Stoddart ◽  
Tuomas Ylä-Anttila
Keyword(s):  
Climate Change ◽  
Environmental Sustainability ◽  
Arctic Climate ◽  
The Arctic ◽  
Network Approach ◽  
Policy Actors ◽  
Different Types ◽  
The Media ◽  
Arctic Climate Change ◽  
Moral Justifications

In this paper, we examine the centrality of policy actors and moral justifications in media debates on Arctic climate change in Finland and Canada from 2011–2015. We take a network approach on the media debates by analysing relations between the actors and justifications, using discourse network analysis on a dataset of 745 statements from four newspapers. We find that in both countries, governments and universities are the most central actors, whereas business actors are the least central. Justifications that value environmental sustainability and scientific knowledge are most central and used across actor types. However, ecological justifications are sometimes in conflict with market justifications. Government actors emphasize new economic possibilities in the Arctic whereas environmental organizations demand greater protection of the vulnerable Arctic. Ecological justifications and justifications that value international cooperation are more central in the Finnish debate, whereas justifications valuing sustainability and science, as well as those valuing national sovereignty, are more central in the Canadian debate. We conclude that in addition to the centrality of specific policy actors in media debates, the use of different types of moral justifications also reflects political power in the media sphere.

scholarly journals Semantic representation of abstract and concrete words: a minireview of neural evidence

2019 ◽  
Vol 121 (5) ◽  
pp. 1585-1587 ◽  
Author(s):  
Maria Montefinese
Keyword(s):  
Semantic Network ◽  
Semantic Representation ◽  
Different Types ◽  
Neural Underpinnings ◽  
Types Of Information ◽  
Concrete Concepts ◽  
New Evidence ◽  
Organizational Principles ◽  
Concrete Words

Evidence from both behavioral and neuropsychological studies suggest that different types of organizational principles govern semantic representations of abstract and concrete words. The reviewed neuroimaging studies provide new evidence about the role of brain areas of the semantic network involved in the encoding of some types of information during processing of abstract and concrete concepts, better characterizing the neural underpinnings and the organizational principles of semantic representation of these types of word.

scholarly journals Exploring the digital media ecology: insights from a study of healthy diets and climate change communication on digital and social media

2021 ◽  
Vol 20 (03) ◽  
pp. A02
Author(s):  
Emma Weitkamp ◽  
Elena Milani ◽  
Andy Ridgway ◽  
Clare Wilkinson
Keyword(s):  
Climate Change ◽  
Digital Media ◽  
Science Communication ◽  
Media Ecology ◽  
The Public ◽  
High Profile ◽  
Change Communication ◽  
Healthy Diets ◽  
Survey Results ◽  
The Media

This study explores the types of actors visible in the digital science communication landscape in the Netherlands, Serbia and the U.K. Using the Koru model of science communication as a basis, we consider how science communicators craft their messages and which channels they are using to reach audiences. The study took as case studies the topics of climate change and healthy diets to enable comparison across countries, topics and platforms. These findings are compared with the results from a survey of over 200 science communication practitioners based in these countries. We find that although traditional media are challenged by the variety of different new entrants into the digital landscape, our results suggest that the media and journalists remain highly visible. In addition, our survey results suggest that many science communicators may struggle to gain traction in the crowded digital ecology, and in particular, that relatively few scientists and research institutions and universities are achieving a high profile in the public digital media ecology of science communication.

scholarly journals Semantic Network Analysis of Legacy News Media Perception in South Korea: The Case of PyeongChang 2018

2018 ◽  
Vol 10 (11) ◽  
pp. 4027 ◽  
Author(s):  
Sung-Won Yoon ◽  
Sae Chung
Keyword(s):  
Public Opinion ◽  
Network Analysis ◽  
South Korea ◽  
News Media ◽  
Semantic Network ◽  
Significant Implication ◽  
Semantic Network Analysis ◽  
The Public ◽  
The Media ◽  
Conservative Media

This paper aims at exploring how conservative and liberal newspapers in South Korea framed PyeongChang 2018 directly. Our research questions addressed four points: first, different attitudes of conservative and liberal newspapers in the PyeongChang news reporting; second, their success and failure in influencing public opinion; third, South Koreans’ perceptions on PyeongChang 2018; and fourth, South Korean public reliance on the newspapers. To investigate the framing differences, we employed a big data analytic method (automated semantic network analysis) with NodeXL (analytic software). Conclusively, we were able to find out four main findings. First, the conservative media showed pessimistic attitudes to the Olympics, and the liberal media did conversely. Second, despite the conservative media’s resourcefulness, they could not succeed in influencing public opinion. Third, the conservative media perceived the Olympics as an undesirable event, but the liberal media did the Olympics as a significant event for further peace promotion. Fourth, the conservative media’s framings did not considerably influence upon the public opinion. As a conclusion, the public are no longer passive recipients of the messages from the media. Instead, they tend to selectively accept the information from the media based on ‘collective intelligence’. This trend provides a significant implication for enhancing the sustainability of the media environment in South Korea.

The Trends of Media Coverage about Libraries in Korea: Using Semantic Network Analysis of Portal News

Libri ◽  
2018 ◽  
Vol 68 (4) ◽  
pp. 291-300
Author(s):  
Jane Cho
Keyword(s):  
Network Analysis ◽  
Media Coverage ◽  
Public Libraries ◽  
Semantic Network ◽  
Educational Institutions ◽  
University Libraries ◽  
Semantic Network Analysis ◽  
Learning Program ◽  
News Reports ◽  
The Media

Abstract The purpose of this study is to understand the trends and problems of media coverage about Korean libraries by selecting keywords from Korean portal news articles and conducting semantic network analysis. As a result, Korean news reports focus on public libraries rather than school and university libraries. Elsewhere, libraries’ lifelong learning program performance, such as cultural events and educational lectures, are overly biased on press release. In addition, news articles in all kinds of libraries are dominated by simple publicity about businesses or events rather than policy issues about library laws, budgets and manpower. Korea’s libraries reflected in the media are analyzed as cultural and social educational institutions rather than knowledge information centers.

scholarly journals Knowledge Integration in Distributed Product Development

2014 ◽  
Vol 6 (1) ◽  
pp. 19-28 ◽  
Author(s):  
Jonas Rundquist
Keyword(s):  
Product Development ◽  
Information Sharing ◽  
Knowledge Integration ◽  
Technology Development ◽  
Domain Specific ◽  
Different Types ◽  
Types Of Information ◽  
High Degree ◽  
High Representation ◽  
Very High

Research has indicated that small and medium sized firms (SMEs) play an important role in the growth of the economy. However, in order to be able to compete at an international level, most SMEs are bound to work in alliances in order to gather enough knowledge and resources for product and technology development or to be able to penetrate a larger market. Alliances can be formed with different types of actors (i.e., suppliers, customers, agents, universities, consultancies); in the alliance, information and knowledge are gathered and created. Information is defined as "knowledge that can be transmitted without loss of integrity," which includes facts, axiomatic propositions, and symbols. This knowledge can be categorized as domain-specific, procedural, or general. In the present study, a case approach is used to investigate how different types of information and knowledge generated through distributed product development are integrated into the firm, what methods are used, and some conclusions on what methods are more successful for each type of information or knowledge. Results indicate a very high representation of formal information sharing (document exchange) even if there is a high degree of agreement among the respondents that personal meetings and continuous information sharing would be better if they had a system for this. Therefore, the conclusions should lead to systems that address the above problems.

scholarly journals From immediate community to imagined community: Social identity and the co-viewing of media event

2016 ◽  
Vol 1 (4) ◽  
pp. 481-496 ◽  
Author(s):  
Xi Cui ◽  
Jian Rui ◽  
Fanbo Su
Keyword(s):  
Social Identity ◽  
Emotional Arousal ◽  
Media Ecology ◽  
Media Events ◽  
Different Types ◽  
The Media ◽  
Live Broadcast ◽  
Contemporary Media ◽  
The Relationship ◽  
Media Event

This study examines how different types of co-viewing are associated with viewers’ emotional response to the live broadcast of media events and their social identity. A survey ( N = 206) was conducted to examine the effect of the live broadcast of a grand national ceremony in China. Results show that viewers experienced emotional arousal when they watched the media event in physical, mediated, and perceived co-viewing conditions. Among these conditions, mediated co-viewing, operationalized as social media engagement during the event, is the strongest predictor of emotional arousal. Moreover, emotional arousal fully mediates the relationship between co-viewing conditions and viewers’ national identity conveyed in the broadcast ceremony. With empirical evidence, we demonstrate the continued relevance of the genre of media events and the importance of co-viewing experiences in the contemporary media ecology. We argue that this broadcast genre is still effective with regard to social integration, and dual-screening media events could be a new mechanism of this effect.

scholarly journals Modeling Structure and Content: Socio-Semantic Network Analysis of the Mahābhārata

Leonardo ◽  
2017 ◽  
Vol 50 (5) ◽  
pp. 501-501
Author(s):  
Frederik Elwert ◽  
Sven Sellmer
Keyword(s):  
Social Networks ◽  
Network Analysis ◽  
Topic Modeling ◽  
Semantic Information ◽  
Semantic Network ◽  
Semantic Network Analysis ◽  
Topic Distribution ◽  
Types Of Information ◽  
Content Information ◽  
Sanskrit Epic

There is a demand to incorporate content information into social networks. The authors constructed and visualized a network of the most important gods and heroes in the Sanskrit epic Mahābhārata. The network includes semantic information about the actors and their relationships. These two types of information were collected automatically with the help of the Nubbi topic modeling algorithm, which assigns separate sets of topics to both persons and their relations. The visualization of such a network provides intuitive access to a high density of information, like the topic distribution for each actor and the predominant topic for each relation.

Digitization of Information Sharing to Minimize the Impact of COVID-19 in the Food Supply Chain

2022 ◽  
pp. 251-272
Author(s):  
Shashi ◽  
Rajwinder Singh ◽  
Piera Centobelli ◽  
Roberto Cerchione
Keyword(s):  
Supply Chain ◽  
Cost Saving ◽  
Information Sharing ◽  
Food Supply ◽  
Accurate Information ◽  
Food Supply Chain ◽  
Supply Chain Relationships ◽  
Different Types ◽  
Types Of Information ◽  
The Impact

In this COVID-19 pandemic, the production, distribution, and demand fulfillment of perishable food products emerged as a foremost challenge for the supply chain due to the unavailability of timely and accurate information sharing. This study aims to test the relationships between the different types of information sharing, cost-saving performance, and supply chain relationships. In doing so, a survey study was carried out involving food supply chain practitioners, and proposed research claims were tested using a structural equation modeling approach. The results confirmed the positive impact of day-to-day information and periodic information on cost-saving performance and supply chain relationships. However, the impact of day-to-day information was significantly higher on cost-saving performance and supply chain relationships than the impact of periodic information. The study findings may support supply chain practitioners in understanding the different types of information that need to be shared in networks and their related impact on the overall profitability of the supply chain.

How Do Social Media Users Link Different Types of Extreme Events to Climate Change? A Study of Twitter During 2008–2017

2019 ◽  
Vol 06 (02) ◽  
pp. 1950002 ◽  
Author(s):  
Walid Al-Saqaf ◽  
Peter Berglez
Keyword(s):  
Climate Change ◽  
Social Media ◽  
Extreme Events ◽  
English Language ◽  
Extreme Event ◽  
Heat Waves ◽  
Climate Science ◽  
Media Ecology ◽  
The Media ◽  
Flooding Events

This study examines how three types of extreme events (heat waves, droughts, floods) are mentioned together with climate change on social media. English-language Twitter use during 2008–2017 is analyzed, based on 1,127,996 tweets (including retweets). Frequencies and spikes of activity are compared and theoretically interpreted as reflecting complex relations between the extreme event factor (the occurrence of an extreme event); the media ecology factor (climate-change oriented statements/actions in the overall media landscape) and the digital action factor (activities on Twitter). Flooding was found to be by far the most tweeted of the three in connection to climate change, followed by droughts and heat waves. It also led when comparing spikes of activity. The dominance of floods is highly prevalent from 2014 onwards, triggered by flooding events (extreme event factor), the climate science controversy in US politics (media ecology factor) and the viral power of celebrities’ tweets (digital action factor).

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