How Does Twitter Distribute Fake News? - Analysis of distribution patterns, influencers, and frequently-used words of ‘traffic regulation amendment’ and ‘September 9th war in Korean peninsula’ news -

2018 ◽  
Vol 35 (4) ◽  
pp. 203-251
Author(s):  
Seunghye Sohn ◽  
Guiohk Lee ◽  
Juhyun Hong ◽  
Jihyang Choi ◽  
Eunjeong Jeong
Keyword(s):  
Korean Peninsula ◽  
Distribution Patterns ◽  
Fake News ◽  
News Analysis ◽  
Traffic Regulation

scholarly journals A Review : Fake News Analysis and Detection

2020 ◽  
pp. 67-69
Author(s):  
Mridula Arvind Halgekar ◽  
Vidya Kulkarni
Keyword(s):  
Random Forest ◽  
Professional Life ◽  
Personal Life ◽  
Fake News ◽  
News Analysis ◽  
The World ◽  
The Difference

With the growing world in terms of technology and population, the growth of technological use by the population has also increased. The technology has become a part of every human being’s life. It is not just a part of his professional life but also a part of his personal life. There are so many things happening in the world that keeps the world changing. To grow along with this growing world, we need to keep ourselves updated. Media plays an important role in keeping the population updated. The world is kept updated irrespective of the location of the population reading the news and the location of the incident occurring. Fake news is the biggest drawback in this process. We believe what we see and what we read as it the only way to keep ourselves updated. So Fake news hampers the population and may result in unexpected incidents. So it is the need of the hour to understand the difference between real and fake news. This project is for fake news analysis and detection. A dataset of news is considered, pre processing is done and then the fake news and real news are predicted using random forest and xgboost algorithms.

scholarly journals FAKE NEWS DETECTION SYSTEM BASED ON DATA SCIENCE

2020 ◽  
pp. 91-95
Author(s):  
Volodymyr Bazylevych ◽  
◽  
Maria Prybytko ◽  
Keyword(s):  
Input Data ◽  
Data Science ◽  
Detection System ◽  
Fake News ◽  
Political Propaganda ◽  
Inaccurate Information ◽  
News Analysis ◽  
Scientific Facts ◽  
Material Input ◽  
Main Material

Urgency of the research. Today, the task of analyzing the veracity of information in the news, which filled all existing channels for obtaining information, is relevant. Its urgency is related to the need to prevent panic by obtaining inaccurate information, debunking pseudo-scientific facts that can threaten people's lives, combating political propaganda and others.Target settingThis article focuses on the concept of developing a system for detecting fake news, analysis of existing systems and their principles of operation, principles of construction of their algorithms and features of their use.Actual scientific researches and issues analysis.Recent open publications, statistics, and corporate reports were reviewed.Uninvestigated parts of general matters defining.File analysis will be performed using three methods / classifiers and without the use of PassiveAgressive classifier. The calculation and derivation of results is performed by constructing error matrices and calculating accuracy.The research objective.The main purpose of the work is to create a system for detecting fake news on the basis of the considered materials and to achieve the highest possible accuracy.Presenting main material. Input data for the study were selected, prepared and analyzed. Data were studied using the meth-ods /classifiers of Logistic Regression, Decision Tree and Random Forest. The accuracy of detecting fake news is calculated.Conclusions.The proposed system allows to classify news as “fake”or “true ”with an accuracy of 98-99%

A Literature Review of NLP Approaches to Fake News Detection and Their Applicability to Romanian-Language News Analysis

Transilvania ◽  
2020 ◽  
pp. 65-71
Author(s):  
Costin Busioc ◽  
Stefan Ruseti ◽  
Mihai Dascalu
Keyword(s):  
Literature Review ◽  
Research Interest ◽  
Future Research ◽  
Political Environment ◽  
Fake News ◽  
Research Groups ◽  
Low Resource ◽  
News Analysis ◽  
The Social

Fighting fake news is a difficult and challenging task. With an increasing impact on the social and political environment, fake news exert an unprecedently dramatic influence on people’s lives. In response to this phenomenon, initiatives addressing automated fake news detection have gained popularity, generating widespread research interest. However, most approaches targeting English and low-resource languages experience problems when devising such solutions. This study focuses on the progress of such investigations, while highlighting existing solutions, challenges, and observations shared by various research groups. In addition, given the limited amount of automated analyses performed on Romanian fake news, we inspect the applicability of the available approaches in the Romanian context, while identifying future research paths.

scholarly journals Categorized wetland preference and life forms of the vascular plants in the Korean Peninsula

2021 ◽  
Vol 45 (1) ◽  
Author(s):  
Yeonsook Choung ◽  
Byeong Mee Min ◽  
Kyu Song Lee ◽  
Kang-Hyun Cho ◽  
Kwang Yeong Joo ◽  
...  
Keyword(s):  
Korean Peninsula ◽  
Vascular Plants ◽  
Aquatic Macrophytes ◽  
Vascular Plant ◽  
Distribution Patterns ◽  
Life Forms ◽  
Wetland Plants ◽  
Wetland Plant ◽  
Wetland Ecosystems ◽  
Almost All

Abstract Background In 2020, a categorized list of wetland preferences, major habitats, and life forms of 4145 vascular plant taxa occurring in the Korean Peninsula was published by the National Institute of Biological Resources. We analyzed the list and explored the distribution patterns of the five categorized groups according to wetland preference, along with the information on the major habitats and the life forms of the plants belonging to those categories. Results Out of 4145 taxa, we found that 729 wetland plant taxa (18%) occur in Korea: 401 obligate wetland plants and 328 facultative wetland plants. Among the 729 wetland taxa, the majority (73%) was hygrophytes and the remaining 27% was aquatic macrophytes. Furthermore, almost all of the wetland taxa are herbs; so, woody plants are only 4.7%. The 16 carnivorous taxa distributed in Korea were characterized as obligate wetland plants. Conclusions We expect the categorized information would promote understanding of the characteristics of the plant species and would be an important source for understanding, conservation, and restoration of wetland ecosystems.

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