A Hierarchical Decision-Making Framework in Social Networks for Efficient Disaster Management

One of the major challenges faced by the current society is developing disaster management strategies to minimize the effects of catastrophic events. Disaster planning and strategy development phases of this urgency require larger amounts of cooperation among communities or individuals in society. Social networks have also been playing a crucial role in the establishment of efficient disaster management planning. This article proposes a hierarchical decision-making framework that would assist in analyzing two imperative information flow processes (innovation diffusion and opinion formation) in social networks under the consideration of community detection. The proposed framework was proven to capture the heterogeneity of individuals using cognitive behavior models and evaluate its impact on diffusion speed and opinion convergence. Moreover, the framework demonstrated the evolution of communities based on their inter-and intracommunication. The simulation results with real social network data suggest that the model can aid in establishing an efficient disaster management policy using social sensing and delivery.

Does Journalism Still Matter? The Role of Journalistic and non-Journalistic Sources in Young Peoples’ News Related Practices

In today's hybrid media environment new content creators challenge the status of professionally produced journalism and blur the lines between professional and non-professional content. Growing up in this information landscape, younger generations have developed news-related practices and attitudes that lie in stark contrast to those of previous generations. In addition, discrepancies exist between news definitions and the use practices of young people. We conducted focus groups with German adolescents (15–17 years), young adults (18–24 years) and adults (40–53 years) in August 2020 to uncover young peoples’ orientation toward news and journalism. Our study indicates that the boundaries of what journalism is and what it is not are becoming increasingly indistinct. However, distinctions do emerge between the journalistic and non-journalistic sources that adolescents and young adults use and the functions they associate with them according to their information needs. Differences between the age groups become apparent in their motivations to stay informed which highlights the important role non-journalistic sources play in information behaviour and opinion formation. For teenage participants especially, Social Media Influencers (SMIs) are relevant within these processes, which are linked to a perceived social duty-to-keep-informed. Moreover, findings from the focus groups highlight cohort-specific differences regarding the understanding of journalism and, consequently, differences in the assessment of trust and reliability as well as the verification strategies that are applied. In sum, for young participants journalism is a reliable source of information, especially in the case of current events and for crosschecking online information, while non-journalistic sources fulfil social needs.

Media Framing of COVID-19: A Content Analysis of Nepali Newspapers

The COVID-19 pandemic has spread across the globe, posing a major and alarming public health concern. This has been due, in part, to the increasing number of infected population day by day. Also, media coverage appeared to be one of the influencing factors to the opinion formation of COVID-19 issues. Since the whole world is still reeling under the effect of COVID-19 pandemic. At this juncture, the content and tone of the newspaper is still unknown. Therefore, the paper tries to assess critically about the media effect in reporting of the COVID-19 pandemic. This study has a significant practical relevance during this period. Furthermore, the study contributes to scientific knowledge about the use of frames and tones in media coverage with regard to pandemic. For this purpose and use of a content analysis, two popular Nepalese English language newspapers; The Kathmandu Post (privately owned media) and The Rising Nepal (state-owned media) has been selected purposively. The content and tone of the media coverage with regard to the pandemic from May 2020 until the end of July 2020 was investigated. The results showed that the media coverage was most frequently done in terms of economic crisis rather than covering the pandemic as a health crisis. Furthermore, the tone of the media coverage of the pandemic is more negative in the privately owned media than the state-owned media. However, both the newspapers have covered the majority of articles through the economic framing rather than health.

Van Dijk’s critical discourse analysis in the Narasi Mata Najwa program and the community response to the face-to-face learning in Indonesian

The purpose of this study is to analyze the critical discourse of Teun A. Van Dijk's model in the Narasi Mata Najwa program. The Narasi Mata Najwa program is a strategic forum for social groups, community groups to appear and discuss the discourses presented. The Narasi Mata Najwa program often invites figures from various circles of society, both from government figures and political figures. The Narasi Mata Najwa event is a discourse formation practice. Discourse refers to social activities that take place from various backgrounds in which the language unit appears. Critical discourse analysis using Van Dijk's model includes three aspects, namely macro structure, super structure, and microstructure. This research uses descriptive qualitative research method. The results of this research from Van Dijk's model examines the discourse that is used as a suggestion for opinion formation through word choice, sentence structure, and appropriate language style.Keywords: critical discourse analysis, Narasi Mata Najwa, community response

Voter model on adaptive networks

Voter model is an important basic model in statistical physics. In recent years, it has been more and more used to describe the process of opinion formation in sociophysics. In real complex systems, the interactive network of individuals is dynamically adjusted, and the evolving network topology and individual behaviors affect each other. Therefore, we propose a linking dynamics to describe the coevolution of network topology and individual behaviors in this paper, and study the voter model on the adaptive network. We theoretically analyze the properties of the voter model, including consensus probability and time. The evolution of opinions on dynamic networks is further analyzed from the perspective of evolutionary game. Finally, a case study of real data is shown to verify the effectiveness of the theory.

Intermittent brain network reconfigurations and the resistance to social media influence

Since their development, social media has grown as a source of information and has a significant impact on opinion formation. Individuals interact with others and content via social media platforms in a variety of ways but it remains unclear how decision making and associated neural processes are impacted by the online sharing of informational content, from factual to fabricated. Here, we use EEG to estimate dynamic reconfigurations of brain networks and probe the neural changes underlying opinion change (or formation) within individuals interacting with a simulated social media platform. Our findings indicate that the individuals who show more malleable opinions are characterized by less frequent network reconfigurations while those with more rigid opinions tend to have more flexible brain networks with frequent reconfigurations. The nature of these frequent network configurations suggests a fundamentally different thought process between the individuals who are more easily influenced by social media and those who are not. We also show that these reconfigurations are distinct to the brain dynamics during an in-person discussion with strangers on the same content. Together, these findings suggest that network reconfigurations in the brain may not only be diagnostic to the informational context but also the underlie opinion formation.

The potentials of heresthetic and rhetoric in an open framing situation: theory and evidence from a survey experiment

To win a policy debate, political actors may apply two analytically distinct counterframing strategies, rhetoric and heresthetic. Rhetoric is when counterarguments are formulated in the original dimension of the debate, while heresthetic is using arguments in a different dimension compared to the original frame. Although both rhetoric and heresthetic are ubiquitous phenomena in the process of public opinion formation, there are no general rules to specify their efficacy. Drawing on a survey experiment carried out in Hungary in 2020 (N = 2000), this paper uncovers the factors determining the effect of the two strategies. Introducing a conceptual distinction between open and trade-off framing situations, the paper demonstrates that the structure of the situation matters. While heresthetic has a robust effect in trade-off framing situations, rhetoric may have a strong impact in open framing situations. Moreover, the effectiveness of counterframing depends on the party affiliation of respondents and the strength of their related attitudes.

Online Opinion Expression about Women Serving as Judges among University Students in Egypt and Kuwait: An Integrative Study of the Spiral of Silence and Uses and Gratifications

This study integrates the Spiral of Silence and Uses and Gratifications theories to examine the willingness of university students to express on Twitter their opinions about a controversial issue, women serving as judges in Kuwait and Egypt. The analysis of a survey of 640 respondents showed that they used Twitter for information seeking, opinion formation, opinion reinforcement, and social utility in discussions, and for its democratizing capability. Democratization was the only motive to predict the expression of opinion online. When the Kuwaiti and Egyptian samples were analyzed separately, the democratization motive predicted opinion expression for the Kuwaiti students but not for the Egyptian students. Interaction effects between motivations and size of the respondent's social network on Twitter were found to predict the online expression of opinion. For example, the variable assessing the size of a respondent's social network interacted with information seeking motivation and also with opinion reinforcement to predict opinion expression online.

Bounding the Inefficiency of Compromise in Opinion Formation

Social networks on the Internet have seen an enormous growth recently and play a crucial role in different aspects of today’s life. They have facilitated information dissemination in ways that have been beneficial for their users but they are often used strategically in order to spread information that only serves the objectives of particular users. These properties have inspired a revision of classical opinion formation models from sociology using game-theoretic notions and tools. We follow the same modeling approach, focusing on scenarios where the opinion expressed by each user is a compromise between her internal belief and the opinions of a small number of neighbors among her social acquaintances. We formulate simple games that capture this behavior and quantify the inefficiency of equilibria using the well-known notion of the price of anarchy. Our results indicate that compromise comes at a cost that strongly depends on the neighborhood size.