Bibliometric analysis of rumor detection via web of science from 1989 to 2021

被引:3
|
作者
Rani, Neetu [1 ]
Bhardwaj, Amit Kumar [2 ]
Das, Prasenjit [3 ]
Sharma, Anju [4 ]
机构
[1] Chitkara Univ, Dept Engn & Technol, Chandigarh, India
[2] Thapar Inst Engn & Technol, LM Thapar Sch Management, Patiala, Punjab, India
[3] Chitkara Univ, Dept Comp Applicat, Chandigarh, India
[4] Punjab State Aeronaut Engn Coll, Patiala, Punjab, India
来源
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE | 2022年 / 34卷 / 25期
关键词
bibliometric analysis; fake news; rumor; social media; SUPPLY CHAIN MANAGEMENT; INTELLECTUAL STRUCTURE; CITATION ANALYSIS; WASTE RESEARCH; MODEL; JOURNALS; TRENDS; MISINFORMATION; DISSEMINATION; PROPAGATION;
D O I
10.1002/cpe.7260
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Through the enhancement of numerous social media sites, the rumor spread more rapidly among society and influences people in a very negative way. Nowadays, more attention is given by researchers to mitigating the threats produced by rumors. Bibliometric analysis is a prevalent and rigorous technique for discovering and investigating large volumes of systematic data. It assists us to identify the important aspects of that particular field. Motivated by earlier research we used this approach for our present study. The present study shows bibliometric analysis through VOSviewer software of 2935 records related to rumor dissemination by collecting the data from the web of science from 1989 to 2021. The bibliometric results have shown publication trends, main journals, most cited articles, most productive country, prominent authors, and institutions. Further net map analysis illustrates the growth of rumor detection in past, present, and future as well. Bibliometric and network analysis results from this research will significantly facilitate understanding the progress and trends in rumor detection.
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收藏
页数:16
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