scholarly journals Infodemia: Concept, Social and Political Consequences, Methods of Managing

2021 ◽  
Vol 8 (1) ◽  
pp. 52-58
Author(s):  
Alexandra V. Borkhsenius
Keyword(s):  
Social Networks ◽  
Information Sources ◽  
Health Statistics ◽  
Health Official ◽  
Political Consequences ◽  
Conspiracy Narratives ◽  
Official Information

The article is devoted to the consideration of the infodemia phenomenon as a result of massive fakes injections associated with the 2019-nCoV pandemic. Author analyzes the global social and political consequences of disinformation in social networks and messengers on the topic of health, official health statistics and government methods to combat the spread of the virus. There is a decrease in trust to government authorities and official information sources and also an increase in the popularity of conspiracy narratives. Author identifies methods to deal with infodemia and analyzes their effectiveness.

scholarly journals Point-of-Interest Recommender Systems based on Location-Based Social Networks: A Survey from an Experimental Perspective

2022 ◽  
Author(s):  
Pablo Sánchez ◽  
Alejandro Bellogín
Keyword(s):  
Social Networks ◽  
Recommender Systems ◽  
Information Sources ◽  
Learning Approaches ◽  
Performance Improvements ◽  
Point Of Interest ◽  
Real Performance ◽  
Research Questions ◽  
Developing Area ◽  
Location Based Social Networks

Point-of-Interest recommendation is an increasing research and developing area within the widely adopted technologies known as Recommender Systems. Among them, those that exploit information coming from Location-Based Social Networks (LBSNs) are very popular nowadays and could work with different information sources, which pose several challenges and research questions to the community as a whole. We present a systematic review focused on the research done in the last 10 years about this topic. We discuss and categorize the algorithms and evaluation methodologies used in these works and point out the opportunities and challenges that remain open in the field. More specifically, we report the leading recommendation techniques and information sources that have been exploited more often (such as the geographical signal and deep learning approaches) while we also alert about the lack of reproducibility in the field that may hinder real performance improvements.

A SOA-Based System for Territory Monitoring

2011 ◽  
pp. 426-454 ◽  
Author(s):  
Elena Roglia ◽  
Rosa Meo
Keyword(s):  
Social Networks ◽  
Web Services ◽  
System Architecture ◽  
Information Sources ◽  
Streaming Video ◽  
Tactical Planning ◽  
Spatial Objects ◽  
The Social ◽  
On Line ◽  
The Web

Next is a presentation of the complete system architecture, followed by a discussion of the details of the various services. Amongst these services, management and simulation of tactical planning, management of data and streaming video, the system also presents a service for the annotation of the interested spatial objects. Annotation deploys the web services (Alonso, Casati, Kuno, & Machiraju, 2004) exported by OpenStreetMap (OpenStreetMap) with the purpose to exploit the on-line information sources continuously updated by the social networks communities.

Two Informational Complexity Measures in Social Networks and Agent Communities

2011 ◽  
pp. 57-65
Author(s):  
António Jorge Filipe Fonseca
Keyword(s):  
Stochastic Process ◽  
Social Networks ◽  
Social Network ◽  
Structural Properties ◽  
Information Sources ◽  
Complexity Measures ◽  
Dynamic Relation ◽  
Dynamic Measures

Several informational complexity measures rely on the notion of stochastic process in order to extract hidden structural properties behind the apparent randomness of information sources. Following an equivalence approach between dynamic relation evolution within a social network and a generic stochastic process two dynamic measures of network complexity are proposed.

Innovation and technology – the only answer for sustainable tourism growth

2019 ◽  
Vol 11 (6) ◽  
pp. 743-747
Author(s):  
António Loureiro
Keyword(s):  
Design Methodology ◽  
Information Sources ◽  
Sustainable Tourism ◽  
Technology Support ◽  
Content Type ◽  
Innovation And Technology ◽  
Societal Expectations ◽  
Official Information ◽  
Determinant Factor

Purpose This paper aims to explain how innovation can contribute to sustainable tourism growth, bearing in mind that tourism was never a factor of conflict but a factor and a sign of peace and prosperity. Design/methodology/approach The paper is based on information drawn from official information sources and relevant data from Travelport. Findings Sustainable tourism growth is unstoppable and is already a reality – proved by decades of permanent growth. Sustainable tourism growth is needed for economic, social, cultural, environmental and political reasons. A continued and sustainable tourism growth is possible with better management and the innovation and technology support. Originality/value Tourism performance in recent decades proves that tourism can meet societal expectations and demands at all levels and is a determinant factor of cultural interchange and an important pillar for peace and harmony between different nationalities.

Enhancing Emergency Communication With Social Media

2018 ◽  
Vol 10 (3) ◽  
pp. 20-41 ◽  
Author(s):  
Rob Grace ◽  
Jess Kropczynski ◽  
Scott Pezanowski ◽  
Shane Halse ◽  
Prasanna Umar ◽  
...  
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Small Proportion ◽  
Community Organizations ◽  
Geographic Area ◽  
Information Infrastructure ◽  
Emergency Communications ◽  
Community Information ◽  
Filter Bubbles ◽  
Official Information

Local social media users share and access critical information before, during, and after emergencies. However, existing methods can identify local social media users only after an emergency has occurred, and only then discover a small proportion of users sharing information in a geographic area. To address these limitations, we introduce the method of Social Triangulation to identify local social media users who access community information before an emergency in order to develop emergency communications strategies that contribute to community resilience. Social Triangulation identifies local users vis-à-vis the community organizations they curate within their social networks and, as a result, helps reveal the information infrastructure of a community. Consequently, social triangulation can inform emergency communications planning by identifying “filter bubbles” among social media users loosely embedded in an information infrastructure, as well as community influencers who are well-positioned to redistribute official information during an emergency.

Health, Responsibility, and Choice: Contrasting Negotiations of Air Pollution and Immunisation Information

10.1068/a3779 ◽  
2005 ◽  
Vol 37 (5) ◽  
pp. 791-804 ◽  
Author(s):  
Judith Petts
Keyword(s):  
Social Networks ◽  
Air Pollution ◽  
Personal Responsibility ◽  
Information Provision ◽  
Collective Responsibility ◽  
Health Protection ◽  
Childhood Immunisation ◽  
Protection Measures ◽  
Personal Action ◽  
Official Information

This paper presents an empirical study of public conceptions of responsibility and choice in relation to health protection, and the influence of these upon responses to official information. Two contrasting case studies are used, air pollution and childhood immunisation (specifically the MMR vaccination). The results confirm social networks and everyday experiences, and social normalisation of behaviour as important influences upon learning, responses to information, and the taking of personal action. People require information to support the freedom to make personal choices. However, the two cases illustrate that notions of collective responsibility are weaker, in the case of MMR overridden by personal responsibility, in the case of air pollution being transferred to other institutions. Conclusions are developed relating to information provision in an age promoting individualisation and retraction of government, specifically the need for explicit engagement with the benefits (personal and collective) of health protection measures.

scholarly journals Social Network Extraction Unsupervised

2021 ◽  
Vol 12 (3) ◽  
pp. 4443-4449
Author(s):  
Mahyuddin K. M. Nasution Et.al
Keyword(s):  
Artificial Intelligence ◽  
Social Networks ◽  
Information Technology ◽  
Big Data ◽  
Social Network ◽  
Data Science ◽  
Information Sources ◽  
Scientific Data

In the era of information technology, the two developing sides are data science and artificial intelligence. In terms of scientific data, one of the tasks is the extraction of social networks from information sources that have the nature of big data. Meanwhile, in terms of artificial intelligence, the presence of contradictory methods has an impact on knowledge. This article describes an unsupervised as a stream of methods for extracting social networks from information sources. There are a variety of possible approaches and strategies to superficial methods as a starting concept. Each method has its advantages, but in general, it contributes to the integration of each other, namely simplifying, enriching, and emphasizing the results.

scholarly journals Association Between Public Knowledge About COVID-19, Trust in Information Sources, and Adherence to Social Distancing: Cross-Sectional Survey (Preprint)

2020 ◽  
Author(s):  
Ilona Fridman ◽  
Nicole Lucas ◽  
Debra Henke ◽  
Christina K Zigler
Keyword(s):  
Social Networks ◽  
Information Sources ◽  
Public Knowledge ◽  
Trust In Government ◽  
Government Information ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Negatively Associated ◽  
Social Distancing ◽  
The Impact

BACKGROUND The success of behavioral interventions and policies designed to reduce the impact of the COVID-19 pandemic depends on how well individuals are informed about both the consequences of infection and the steps that should be taken to reduce the impact of the disease. OBJECTIVE The aim of this study was to investigate associations between public knowledge about COVID-19, adherence to social distancing, and public trust in government information sources (eg, the US Centers for Disease Control and Prevention), private sources (eg, FOX and CNN), and social networks (eg, Facebook and Twitter) to inform future policies related to critical information distribution. METHODS We conducted a cross-sectional survey (N=1243) between April 10 and 14, 2020. Data collection was stratified by US region and other demographics to ensure representativeness of the sample. RESULTS Government information sources were the most trusted among the public. However, we observed trends in the data that suggested variations in trust by age and gender. White and older populations generally expressed higher trust in government sources, while non-White and younger populations expressed higher trust in private sources (eg, CNN) and social networks (eg, Twitter). Trust in government sources was positively associated with accurate knowledge about COVID-19 and adherence to social distancing. However, trust in private sources (eg, FOX and CNN) was negatively associated with knowledge about COVID-19. Similarly, trust in social networks (eg, Facebook and Twitter) was negatively associated with both knowledge and adherence to social distancing. CONCLUSIONS During pandemics such as the COVID-19 outbreak, policy makers should carefully consider the quality of information disseminated through private sources and social networks. Furthermore, when disseminating urgent health information, a variety of information sources should be used to ensure that diverse populations have timely access to critical knowledge.

scholarly journals MAPPING THE UNDISCOVERED OBJECTS AND SITES IN LITHUANIA

2013 ◽  
Vol 39 (2) ◽  
pp. 64-71
Author(s):  
Justinas Jasiūnas ◽  
Edita Maneikaitė ◽  
Paulius Venckus ◽  
Denis Romanovas ◽  
Giedrė Beconytė
Keyword(s):  
Information Sources ◽  
Social Groups ◽  
Good Condition ◽  
Tourist Attraction ◽  
National Centre ◽  
Infrastructure Network ◽  
Tourist Infrastructure ◽  
Open Courses ◽  
Map Service ◽  
Official Information

Forlorn, uncared-for cultural or natural objects and sites fail to be included into lists of touristic attractions due to their obscurity, poor condition and communication and are usually visited by certain social groups (extreme adventure travellers, members of various subcultures and etc.). The analysis revealed a wide array of such objects and sites, which are unknown and not in very good condition, can be very different starting with manor houses, historic parks and gardens and finishing with airfields, open courses or dumping grounds. The goal of a pilot research project carried out at the National Centre of Remote Sensing and Geoinformatics “GIS-Centras” was to collect information on diverse objects and sites that are typically not included into official information sources and fall outside the tourist infrastructure network. The collected information will be published as a map service. The inventory of such undiscovered objects and sites and visualisation is one of the ways to encourage the interest of visitors, especially in regions that lack famous tourist attraction objects or beautiful landscapes. The paper describes solutions for the structure of the database, object acquisition technology, cartographic visualisation and publication of collected data as an online map at www.nemasinis.lt ...

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