Information Dissemination Patterns Research Articles

Analyzing drama metadata through machine learning to gain insights into social information dissemination patterns.

TV drama, through synchronization with social phenomena, allows the audience to resonate with the characters and desire to watch the next episode. In particular, drama ratings can be the criterion for advertisers to invest in ad placement and a predictor of subsequent economic efficiency in the surrounding areas. To identify the dissemination patterns of social information about dramas, this study used machine learning to predict drama ratings and the contribution of various drama metadata, including broadcast year, broadcast season, TV stations, day of the week, broadcast time slot, genre, screenwriters, status as an original work or sequel, actors and facial features on posters. A total of 800 Japanese TV dramas broadcast during prime time between 2003 and 2020 were collected for analysis. Four machine learning classifiers, including naïve Bayes, artificial neural network, support vector machine, and random forest, were used to combine the metadata. With facial features, the accuracy of the random forest model increased from 75.80% to 77.10%, which shows that poster information can improve the accuracy of the overall predicted ratings. Using only posters to predict ratings with a convolutional neural network still obtained an accuracy rate of 71.70%. More insights about the correlations between drama metadata and social information dissemination patterns were explored.

Platform Logic: Understanding the Influence of AI on Information Dissemination Mechanisms of Chinese New Media Platforms

The development of technologies in the field of artificial intelligence is redefining the modes of information dissemination. However, it is hard to understand its influence from the perspective of the platform alone. Based on “platform logic” defined by José van Dijck, this article analyzes information dissemination from perspectives of underlayer platform, mid-layer monitoring, and upper-layer application and explores the influence of artificial intelligence and the changes in the patterns of information dissemination of Chinese new media platforms. In this paper, CiteSpace software is used to analyze the literature on artificial intelligence information dissemination on CNKI and the development trend of artificial intelligence information dissemination is summarized and discussed.

Community radio-based disaster information dissemination pattern on K-Pass FM Radio Katapang

K-Pass FM Radio Katapang is one of the radios disseminating information about disasters that focuses on training, awareness, and understanding of the people of Katapang Regency to play a role in dealing with disasters and help reduce disaster risk as well. This study aimed to determine the dissemination pattern of disaster information based on community radio conducted by Radio K-Pass FM Katapang. The research used a qualitative approach through case studies research methods. Data collection techniques included in-depth interviews, observation, documentation, and literature studies. Informants amount six people consist of resource persons consisting of community radio administrators, people who feel the impact of the existence of community radio, and people who take part in community radio programs. The study results showed that the dissemination of disaster information on Radio K-Pass FM Katapang increased the awareness of the local community about the dangers of disasters. The disaster information on K-Pass FM Radio Katapang went through three stages: the pattern of dissemination of disaster mitigation information (pre), the pattern of disseminating information when the disaster occurred (in), and post-disaster information (past). This community radio also established a Rescue School that aims to provide knowledge and actions that the community can carry out when a disaster occurs. This study concludes that Radio K-Pass FM Katapang has succeeded in becoming a community radio that positively impacts society, especially in disseminating information related to disasters. Therefore, Radio K-Pass FM Katapang still exists today even though it has been around for a long.

War of the Words. The Online Conversation about NATO in Romania: Communicators, Content, Communities

The Covid-19 infodemic has brought forth an intensification of disinformation and conspiracy narratives, especially in the online environment. Beside the public health implications, the geopolitical aspect is also relevant, since Romania, a member of the EU and NATO, has constantly been under pressure from a multitude of propaganda attempts meant to undermine people’s trust in the West. The main goal of this paper is to explore the type of online information that the Romanian public is exposed to regarding NATO, an institutional actor representative for the Western model, specifically to assess the main communicators, content, and patterns of information dissemination. A dataset of Facebook mentions was created and filtered (n=9705) and visual network analysis was employed to build a NATO issue network. The main clusters of this network were analyzed to reveal that the two largest communities are structured according to a political cleavage, while an anti-Western media actor, Sputnik, controls a separate cluster, but its content infiltrates several others. Qualitative content analysis on a relevance sample of the most frequently distributed content was employed to evaluate both attitudes toward NATO (negative stances were identified in several analyzed documents) and the occurrence of conspiracy narratives (also a significant presence).

The Impact of Artificial Intelligence on Information Dissemination Mechanisms—Bibliometric Analysis Based on CiteSpace

Artificial intelligence technology is redefining the modes of information dissemination. This article explores how artificial intelligence influences and changes the patterns of information dissemination from three perspectives: disseminator, media and audience. In this paper, CiteSpace software is used to analyze the literature on artificial intelligence information dissemination on China National Knowledge Infrastructure (CNKI), summarize and discuss the key words of the development trend of artificial intelligence information dissemination: man-machine integration, sharing mechanism and virtual technology.

A Study on Information Seeking Behavior of Newspaper Journalists in Kalaburagi

Information dissemination patterns and use of libraries make for interesting subject of study, especially when it comes to the pattern displayed by journalists and media professionals. This study was conducted to assess the information seeking behaviour patterns of Newspaper Journalists in Mysore, Karnataka. The purpose of this study was to investigate the use of various information channels, the awareness of the existence of information sources, ways used for disseminating information and use of libraries among the newspaper journalists in Mysore. A well-structured questionnaire was used as instrument of data collection for the study. Data was gathered from 189 newspaper Journalists who belongs working journalists in newspaper Kalaburagi.

Data-driven investigations of using social media to aid evacuations amid Western United States wildfire season

Wildfires have caused increasingly negative impacts with increasing occurrences close to densely populated regions. Evacuations are among the most critical measures in the immediate wildfire relief measures. While social media have been used in natural disasters, there has been limited understanding of the efficacy of using social media to aid evacuations. This paper presents a data-driven study of social media-aided evacuations for the 2020 wildfires in the western United States, based on 53,990 relevant tweets. First, we analyzed the aggregated social media data and validated its reliability against information from official channels. Both the temporal and spatial investigations show good agreements with official information. Further, we classified the tweets into pre- and on-evacuation based on extracted word patterns. The classifications align well with evacuation levels from official channels. Next, we demystified the information dissemination patterns via network analysis. We have found that government channels, news agencies, and public figures prevail among top users. The top users for on-evacuations tend to be more local-focused than pre-evacuations. This study demonstrates the efficacy of using social media to aid evacuations. In addition, it provides guidelines for future studies on extracting high-priority information from social media for disaster relief.

A Dissemination Model Based on Psychological Theories in Complex Social Networks.

Information spread on social media has been extensively studied through both model-driven theoretical research and data-driven case studies. Recent empirical studies have analyzed the differences and complexity of information dissemination, but theoretical explanations of its characteristics from a modeling perspective are underresearched. To capture the complex patterns of the information dissemination mechanism, we propose a resistant linear threshold (RLT) dissemination model based on psychological theories and empirical findings. In this article, we validate the RLT model on three types of networks and then quantify and compare the dissemination characteristics of the simulation results with those from the empirical results. In addition, we examine the factors affecting dissemination. Finally, we perform two case studies of the 2019 novel Corona Virus Disease (COVID-19)-related information dissemination. The dissemination characteristics derived by the simulations are consistent with the empirical research. These results demonstrate that the RLT model is able to capture the patterns of information dissemination on social media and thus provide model-driven insights into the interpretation of public opinion, rumor control, and marketing strategies on social media.

Information Dissemination and Interactions in Higher Education Social Media Posts

The purpose of this study is the analyze patterns of information dissemination by U.S.-based universities on Facebook and the possible effect of these patterns on the number and types of interactions the posts receive. Frequency and types of information (e.g., athletics, student accomplishments, campus announcements) shared in 50 universities’ Facebook posts over four months are analyzed. Kruskal–Wallis H Tests evaluate differences in interactions with social media posts based on the type of information shared. The findings of this study indicate that there are several unique types of information shared on Facebook. Posts that involve a human element (like stories about student and faculty accomplishments) are found to receive the most interactions.

Parent Firm Corporate Social Responsibility and Overseas Subsidiary Performance: A Signaling Perspective

This study examines how the performance impact of parent firm CSR on overseas subsidiaries may vary according to the task, the institutional, and the informational aspects of the signaling environment facing host country stakeholders. We argue that subsidiary primary activity, host country media freedom, and localized information concerning the parent firm influence host country stakeholders’ informational needs and the patterns of information dissemination and acquisition, thereby moderating the performance-enhancing effect of parent firm CSR. Our analysis of Japanese overseas investments from 2002-2014 largely supports our hypotheses and illustrates the significance of environmental contingencies in cross-border CSR signaling.

Information Dissemination Analysis Using a Time-Weight Null Model: A Case Study of Sina Micro-Blog

Information dissemination in a social network is constrained by the underlying structure of the network and interaction between the users, and different dissemination patterns are exhibited over time. In this paper, first, information dissemination trees (IDTs) are constructed by tracking the Sina micro-blog information dissemination path (i.e., message forwarding and @), and an empirical analysis of their time characteristics is conducted. Second, the time-weight shuffle null model is established based on the null model in statistics, including the equal time-weight edge shuffle null model and the node time-weight shuffle null model, which are utilized to analyze the temporal properties and the corresponding information dissemination pattern. Thus, we further analyze the dynamics of the IDTs, which contain the burstiness of the information dissemination, the dissemination scale, and the effect of the network structure on the information dissemination. Finally, the experimental results indicate that the information dissemination in Sina micro-blog has a 5-h-effect and the network structure has a positive effect on the dissemination of information. The latter contrasts sharply with the scenarios of the European mobile phone network and e-mail communication network, and the burstiness of the information dissemination is suppressed while the network structure is destroyed.

Modelling information diffusion based on non-dominated friends in social networks

In recent years, social networks have played a strong role in diffusing information among people all around the globe. Therefore, the ability to analyse the diffusion pattern is essential. A diffusion model can identify the information dissemination pattern in a social network. One of the most important components of a diffusion model is information perception which determines the source each node receives its information from. Previous studies have assumed information perception to be just based on a single factor, that is, each individual receives information from their friend with the highest amount of information, whereas in reality, there exist other factors, such as trust, that affect the decision of people for selecting the friend who would supply information. These factors might be in conflict with each other, and modelling diffusion process with respect to a single factor can give rise to unacceptable results with respect to the other factors. In this article, we propose a novel information diffusion model based on non-dominated friends (IDNDF). Non-dominated friends are a set of friends of a node for whom there is no friend better than them in the set based on all considered factors, considering different factors simultaneously significantly enhance the proposed information diffusion model. Moreover, our model gives a chance to all non-dominated friends to be selected. Also, IDNDF allows having partial knowledge by each node of the social network. Finally, IDNDF is applicable to different types of data, including well-known real social networks like Epinions, WikiPedia, Advogato and so on. Extensive experiments are performed to assess the performance of the proposed model. The results show the efficiency of the IDNDF in diffusion of information in varieties of social networks.

A Modified Method for User Authority Ranking in Chinese Microblog

Nowadays, microblog has emerged as the most promising social networking service in the Web2.0 age with diverse features for information dissemination, interpersonal communication and many other aspects. Chinese microblog shows great potential owing to the rich marketing source and powerful media influence brought by the huge user population. As the microblog community is largely influenced by some authoritative users, identifying these users and understanding the information dissemination pattern are theoretically and practically significant for us to promote user services, develop further applications and seek commerce opportunities. In this paper, we proposed a modified method for user authority ranking. A user-message graph modified according to Chinese microblog was applied to our study, and an algorithm based on ObjectRank was used to calculate ueser authority scores. We analyzed Sina microblog, as it was the most widely adopted Chinese microblog and more resources for research was accessible.

Interpretation of the Biological Essence of Meridians with Plant Neurobiology and Animal Nerval Evolution

Abstract In the absence of a clear and independent anatomical structure, the biological nature of meridians (Jingluo) and the mechanism of acupuncture and moxibustion and so on to prevent and cure diseases in the traditional Chinese medicine remain mysterious. Through summary and analysis of the evolution of animal nervous system and comparison with the information transmission systems of plants (the so-called “plant neurobiology”), the common biological structure and the basic law of information transmission of biological system were open-mindedly reviewed and described in this paper. For the first time, the biological information transmission systems were classified into three major levels as follows: (1) the brain-related central nervous system (the neural level), (2) the vessel-dependent information transmission system without the typical nerval structure (the vessel level), and (3) the intercellular and the cell-environmental signal communication systems (the cellular level). Electronic and biochemical signal transmissions were pinpointed as two major means of information dissemination pattern in the life system. In summary, the complicated information transmission functions and traits of the meridians are suggested as an interplay of the performances of the three major systems applying electronic and physicochemical materials, namely the “321-Integration Theory” of meridians.

The Technological Gaze

The Technological Gaze

Challenges and strategies for better use of scientific information in the management of coastal estuaries

Numerous studies have concluded that better use of scientific information could improve the quality of coastal and estuarine environmental management. Approaches for effecting such a change include ecosystem-based, integrated, and adaptive management, but such basic re-orientation of estuarine and coastal management has proved difficult to achieve. Even environmental indicators, seemingly straightforward ways of injecting scientific information into decision making, have achieved broad on-the-ground use in relatively few instances—principally the largest estuary management programs. A conceptual framework useful for examining environmental management systems affecting the five PNCERS (Pacific Northwest coastal Ecosystems Regional Study) estuaries conceives of environmental managers, researchers, and interested and affected parties in the public as interacting through the multi-layered institutional arrangements that currently promote the utilization, management, or protection of coastal and estuarine resources. Considerable variation exists in the approach and effectiveness of the region's environmental management organizations. Interaction between science and management in the region appears to be limited to an extent by high transaction costs; a cultural divide between environmental scientists and environmental managers is perceived by members of both groups who work with the PNCERS estuaries as inhibiting communications between them. Mechanisms that both groups identify as useful for improving the flow of information between science and management are little used, perhaps as a result. The two groups have very different patterns of information dissemination and acquisition, and though both chose agency archives and databases as their top methods for disseminating information, neither group relies much on these vehicles for information they seek. Both residents' and practitioners' perceptions of threats to the PNCERS estuaries show patterns of estuary-to-estuary variation. One theme that emerges is that problems associated with poor land management in adjacent uplands are common to most of these estuaries, potentially providing a sense of commonality through which a more regional approach to estuary management could emerge. A common set of estuarine environmental indicators implemented for all estuaries could help instigate such a regional approach, but resource constraints, especially at the local level, will have to be overcome for that to occur. There is currently substantial lack of common vision among coastal practitioners as to the purpose and desirability of indicators, and relatively little experience or knowledge of their use, particularly at the local level. Use of estuarine science in the management of these estuaries appears to be greatest during periods in which the largest programmatic shifts in environmental management approaches occur, an observation consistent with other studies that have concluded that the use of environmental science in environmental management tends to be episodic.

Effect of family history on disclosure patterns of cystic fibrosis carrier status.

As general population screening becomes more common, an increasing number of cystic fibrosis (CF) carriers will be identified who do not have a family history of CF. Whether these carriers inform their relatives of their carrier status and whether their relatives are motivated to pursue carrier screening is unknown. We surveyed CF carriers with and without a family history of CF to understand whether and how information dissemination patterns differ, why information is or is not shared, and to what extent relatives are known to undergo testing. CF carriers were identified from a general population carrier screening clinic (group B = 18) or were parents of affected children followed at a CF clinic (group A = 30). CF carriers with a family history told essentially 100% of their living parents, siblings, and half-siblings, while those without a family history told 84% of living parents and 56% of siblings (P < 0.05). Despite the high rate of information dissemination in both groups, few siblings were known to have undergone carrier screening (14/74). Significantly fewer second- and third-degree relatives were informed about carrier status or were known to have undergone carrier screening. Group A was more likely to inform second- and third-degree relatives about carrier status. Our study documents that the frequency and reasons for disclosing CF carrier status differ between individuals with and without a family history of CF despite the fact that the reproductive risks for their relatives are the same.

An appraisal of information Dissemination pattern of Women Research and Documentation Centre (WORDOC) Library in Nigeria

An appraisal of information Dissemination pattern of Women Research and Documentation Centre (WORDOC) Library in Nigeria

The impact of social class and status on citizenship information need: the results of two national surveys in the UK

This paper reports the key results of the Citizenship Information research project funded by the British Library Research and Innovation Centre. This research comprised two large-scale surveys of the citizenship information needs of the UK public. The paper focuses upon the detailed analysis and examination of the results as they related to issues of social class and status. The research revealed that social class and status had an impact upon information need and information seeking behaviour, although the pattern emerging was not a simple one. Certain social classes and status groups were not exploiting public library information resources as effectively as they might; equally, certain groups were less willing (or able) to take advantage of new technologies to access information and participate in democratic activities. Those groups most willing to use a range of information sources were more conscious of disadvantage resulting from a lack of information. The paper concludes that there is a real danger of exclusion for certain groups of the UK population and that information policy must reflect an awareness of the most appropriate patterns of information dissemination in order to overcome barriers to access for each of these.

Building the library/information center of the future

Changes in the mission, roles, and infrastructure of academic health sciences libraries pose an enormous challenge to those designing and planning new library buildings. The library will be judged by its ability to respond to changing information dissemination patterns, changing missions, technologies not yet contemplated, and curricular trends, notably the rise of informatics and problem-based learning. Key questions are posed; the answers will shape library building now and in the future.