scholarly journals On the Classification of Fake Information During the Coronavirus Pandemic

2021 ◽  
pp. 124-131
Author(s):  
Marina Zyryanova
Keyword(s):  
Social Networks ◽  
Information Source ◽  
Conspiracy Theory ◽  
Russian Regions ◽  
False Information ◽  
Public Response ◽  
Mass Consciousness ◽  
Short Period ◽  
Large Audience

This article presents the classification of fakes on grounds of the information source that underlies the occurrence of false information. The study was perfomed on the coronavirus fakes that spread in Russian Federation in March 2020 during the beginning of the coronavirus pandemic in our country. For the analysis, only those fakes were taken, which the Administrations of the Russian regions promptly denied in their official accounts on social networks. Based on this, only those fakes that caused the greatest public response were selected for analysis. In this article, the following types of fakes are distinguished: folklore, symmetric, interpretive, additional, and conspiracy. Folklore fakes in various variations reproduce the same motives and are associated with well-established ideas and stereotypes in the mass consciousness. Symmetrical fakes partially or completely transfer true facts from one territory (country, region) to another. They can also transfer information from one person (structure) to another (s). Interpretative fakes are associated with the incorrect interpretation of events, information disseminated, or decisions made by the authorities by individual individuals. Additional fakes for a short period of time continue the theme of previously thrown disinformation. Conspiracy fakes are associated with conspiracy theory, characterized by stuffing on a wide territory and a large audience This classification is not exhaustive and can be supplemented as new fakes appear and are studied. Also, within the framework of this article, recommendations are given on how to refute a particular fake, depending on its belonging to a particular type.

Review and classification of false information systems (FIS)

2020 ◽  
pp. 36-39
Author(s):  
M.A. Kobilev ◽  
E.S. Abramov
Keyword(s):  
Information Systems ◽  
Comparative Analysis ◽  
False Information

The article considers false information systems and conducts their comparative analysis, considering the tasks that they perform, which technologies rely on, and what role is played in protecting information when they are used. The goal is to identify relevant false information systems, to formulate criteria in accordance with which classification is carried out. The problems of false information systems are identified, further work in this topic is determined.

Index of suicide risk in Mexico using Twitter

2019 ◽  
pp. 1-13
Author(s):  
Luz Judith Rodríguez-Esparza ◽  
Diana Barraza-Barraza ◽  
Jesús Salazar-Ibarra ◽  
Rafael Gerardo Vargas-Pasaye
Keyword(s):  
Social Networks ◽  
Analytic Hierarchy Process ◽  
Suicide Risk ◽  
Opinion Mining ◽  
Real Data ◽  
Analytic Hierarchy ◽  
Specialized Care ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

Objectives: To identify early suicide risk signs on depressive subjects, so that specialized care can be provided. Various studies have focused on studying expressions on social networks, where users pour their emotions, to determine if they show signs of depression or not. However, they have neglected the quantification of the risk of committing suicide. Therefore, this article proposes a new index for identifying suicide risk in Mexico. Methodology: The proposal index is constructed through opinion mining using Twitter and the Analytic Hierarchy Process. Contribution: Using R statistical package, a study is presented considering real data, making a classification of people according to the obtained index and using information from psychologists. The proposed methodology represents an innovative prevention alternative for suicide.

Language proficiency and sociocultural integration of Canadian newcomers

2020 ◽  
Vol 41 (6) ◽  
pp. 1437-1464
Author(s):  
Reza Nakhaie
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Ethnic Minority ◽  
Language Proficiency ◽  
Ethnic Origin ◽  
Policy Implications ◽  
Independent Effect ◽  
Cultural Fit ◽  
Short Period ◽  
Sociocultural Integration

AbstractThis paper evaluates the sociocultural integration of newcomers, paying special attention to language proficiency while taking into account the importance of the assimilation, cultural fit, and social network perspectives. Analyses are based on administrative data collected by the YMCA of South Western Ontario regarding 2,493 of their clients. Results reveal that newcomers’ length of residency, ethnic origin, and social networks play a significant role in the sociocultural integration of newcomers. The longer the newcomers have resided in Canada, the higher their level of sociocultural integration. Non-Europeans displayed a lower level of sociocultural integration than Europeans. However, the most important predictor of sociocultural integration was language proficiency. Not only did language proficiency have a strong and independent effect, but it also tended to level out differences in sociocultural integration of those who had resided in Canada for a short period compared to those living in Canada for a longer period. Similarly, language proficiency decreased sociocultural integration differences between Europeans and ethnic minority newcomers. The policy implications of the results are discussed.

scholarly journals The Semantics of Trwm in Middle Welsh Prose

2018 ◽  
Vol 8 ◽  
pp. 89-107
Author(s):  
Elena Parina ◽  
Keyword(s):  
Short Period

Like its Goidelic cognate trom, analysed in Dereza (this volume), Welsh trwm is highly polysemous. In contrast to Dereza’s more general approach, I discuss here in detail the usage of this adjective in one relatively short period, based on the Welsh Prose 1300–1425 corpus (Luft et al. 2013). In order to make the Goidelic and Welsh data comparable, I analyse my data using the same classification of senses as Dereza. Despite some difficulties arising from the structure of the corpus used, I discuss the frequency of the usage within the four domains: experiential, parametrical, psycho-physiological and emotional. The last domain is the main focus of my attention due to the diversity of constructions in which trwm is thus used. I end by drawing some conclusions concerning the use of Celtic data in lexical typology.

Identification and classification of best spreader in the domain of interest over the social networks

2018 ◽  
Vol 22 (S2) ◽  
pp. 4035-4045 ◽  
Author(s):  
A. N. Arularasan ◽  
A. Suresh ◽  
Koteeswaran Seerangan
Keyword(s):  
Social Networks ◽  
The Social

scholarly journals On the utilization of novel spectral laser scanning for three-dimensional classification of vegetation elements

2018 ◽  
Vol 8 (2) ◽  
pp. 20170039 ◽  
Author(s):  
Zhan Li ◽  
Michael Schaefer ◽  
Alan Strahler ◽  
Crystal Schaaf ◽  
David Jupp
Keyword(s):  
Laser Scanning ◽  
Spatial Information ◽  
Information Source ◽  
Three Dimensional ◽  
Laser Scanner ◽  
Biochemical Properties ◽  
Dual Wavelength ◽  
Wavelength Scanning ◽  
Spatial Attributes

The Dual-Wavelength Echidna Lidar (DWEL), a full waveform terrestrial laser scanner (TLS), has been used to scan a variety of forested and agricultural environments. From these scanning campaigns, we summarize the benefits and challenges given by DWEL's novel coaxial dual-wavelength scanning technology, particularly for the three-dimensional (3D) classification of vegetation elements. Simultaneous scanning at both 1064 nm and 1548 nm by DWEL instruments provides a new spectral dimension to TLS data that joins the 3D spatial dimension of lidar as an information source. Our point cloud classification algorithm explores the utilization of both spectral and spatial attributes of individual points from DWEL scans and highlights the strengths and weaknesses of each attribute domain. The spectral and spatial attributes for vegetation element classification each perform better in different parts of vegetation (canopy interior, fine branches, coarse trunks, etc.) and under different vegetation conditions (dead or live, leaf-on or leaf-off, water content, etc.). These environmental characteristics of vegetation, convolved with the lidar instrument specifications and lidar data quality, result in the actual capabilities of spectral and spatial attributes to classify vegetation elements in 3D space. The spectral and spatial information domains thus complement each other in the classification process. The joint use of both not only enhances the classification accuracy but also reduces its variance across the multiple vegetation types we have examined, highlighting the value of the DWEL as a new source of 3D spectral information. Wider deployment of the DWEL instruments is in practice currently held back by challenges in instrument development and the demands of data processing required by coaxial dual- or multi-wavelength scanning. But the simultaneous 3D acquisition of both spectral and spatial features, offered by new multispectral scanning instruments such as the DWEL, opens doors to study biophysical and biochemical properties of forested and agricultural ecosystems at more detailed scales.

Sign in / Sign up

Export Citation Format

Share Document