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COVID-19 Vaccine Focused Data Repository for Fake News Detection.

Record Type:	Electronic resources : Monograph/item
Title/Author:	COVID-19 Vaccine Focused Data Repository for Fake News Detection./
Author:	Chu, Xinqiao.
Description:	1 online resource (31 pages)
Notes:	Source: Masters Abstracts International, Volume: 83-02.
Contained By:	Masters Abstracts International83-02.
Subject:	Computer engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28495663click for full text (PQDT)
ISBN:	9798534672176

COVID-19 Vaccine Focused Data Repository for Fake News Detection.
Chu, Xinqiao.

COVID-19 Vaccine Focused Data Repository for Fake News Detection. - 1 online resource (31 pages)

Source: Masters Abstracts International, Volume: 83-02.

Thesis (Master's)--Stevens Institute of Technology, 2021.

Includes bibliographical references

Since the outbreak of the COVID-19 outbreak in December 2019, a large number of false news stories have spread on social media. And it has had a negative impact on the public health system. In December 2020, the introduction of the COVID-19 vaccine brought renewed confidence. To protect the correct information about the COVID-19 vaccine can be disseminated on the internet. I have collected a dataset of COVID-19 vaccine news and social media since the outbreak. I selected 80 highly reliable and unreliable sites from over 3700 news sites through three news reliability assessment sites, Medias Bias Chart checking, NewsGuard checking and Media Bias/Fact Check (MBFC). I also crawled a dataset of tweets related to them. I analyzed the tweets data to determine the reliability of the tweets data by analyzing the news stance of the tweets data. I also provided statistical analysis and baseline performance analysis of the news dataset and tweets dataset. This dataset can be used for studies of the COVID-19 vaccine such as analysis of misinformation and impact of misinformation on COVID-19 vaccine.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798534672176Subjects--Topical Terms:

621879
Computer engineering.
Subjects--Index Terms:

DatasetIndex Terms--Genre/Form:

542853
Electronic books.

COVID-19 Vaccine Focused Data Repository for Fake News Detection.
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100 1 $a Chu, Xinqiao. $3 3695915
245 1 0 $a COVID-19 Vaccine Focused Data Repository for Fake News Detection.
264 0 $c 2021
300 $a 1 online resource (31 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 83-02.
500 $a Advisor: Subbalakshmi, Koduvayur ; Chandramouli, Rajarathnam.
502 $a Thesis (Master's)--Stevens Institute of Technology, 2021.
504 $a Includes bibliographical references
520 $a Since the outbreak of the COVID-19 outbreak in December 2019, a large number of false news stories have spread on social media. And it has had a negative impact on the public health system. In December 2020, the introduction of the COVID-19 vaccine brought renewed confidence. To protect the correct information about the COVID-19 vaccine can be disseminated on the internet. I have collected a dataset of COVID-19 vaccine news and social media since the outbreak. I selected 80 highly reliable and unreliable sites from over 3700 news sites through three news reliability assessment sites, Medias Bias Chart checking, NewsGuard checking and Media Bias/Fact Check (MBFC). I also crawled a dataset of tweets related to them. I analyzed the tweets data to determine the reliability of the tweets data by analyzing the news stance of the tweets data. I also provided statistical analysis and baseline performance analysis of the news dataset and tweets dataset. This dataset can be used for studies of the COVID-19 vaccine such as analysis of misinformation and impact of misinformation on COVID-19 vaccine.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Computer engineering. $3 621879
650 4 $a Web studies. $3 2122754
650 4 $a Information science. $3 554358
650 4 $a COVID-19. $3 3554449
650 4 $a Journalism. $3 576107
650 4 $a Library science. $3 539284
650 4 $a COVID-19 vaccines. $3 3625301
650 4 $a Datasets. $3 3541416
650 4 $a Credibility. $3 3560860
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653 $a Dataset
653 $a Social media
653 $a Media bias
653 $a Tweets
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690 $a 0464
690 $a 0646
690 $a 0723
690 $a 0399
690 $a 0391
710 2 $a ProQuest Information and Learning Co. $3 783688
710 2 $a Stevens Institute of Technology. $b Computer Engineering. $3 2049827
773 0 $t Masters Abstracts International $g 83-02.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28495663 $z click for full text (PQDT)