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Reseach Article

Twitter News Credibility Meter

by Zareen Sharf, Anwar Us Saeed
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 83 - Number 6
Year of Publication: 2013
Authors: Zareen Sharf, Anwar Us Saeed
10.5120/14456-2729

Zareen Sharf, Anwar Us Saeed . Twitter News Credibility Meter. International Journal of Computer Applications. 83, 6 ( December 2013), 49-51. DOI=10.5120/14456-2729

@article{ 10.5120/14456-2729,
author = { Zareen Sharf, Anwar Us Saeed },
title = { Twitter News Credibility Meter },
journal = { International Journal of Computer Applications },
issue_date = { December 2013 },
volume = { 83 },
number = { 6 },
month = { December },
year = { 2013 },
issn = { 0975-8887 },
pages = { 49-51 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume83/number6/14456-2729/ },
doi = { 10.5120/14456-2729 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:58:42.673863+05:30
%A Zareen Sharf
%A Anwar Us Saeed
%T Twitter News Credibility Meter
%J International Journal of Computer Applications
%@ 0975-8887
%V 83
%N 6
%P 49-51
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Online users are usually naïve and tend to believe everything they come across on social media. Micro blogging is gaining more and more popularity as a journalism tool with the passage of time and can create extraordinary hype about events that may or may not be true. It therefore becomes a social responsibility to device mechanisms that might authenticate and validate the credibility of a news event or crisis situation being posted on social media sites. Twitter being one of the most popular real time news sources also becomes one of the most powerful news emanating mediums. It has known to cause considerable damage by spreading rumors in the past. This study is therefore dedicated for devising an application that might help in establishing a certain level of accuracy regarding the information posted on twitter. The application performs a keyword based retrieval of tweets and then assesses validity based on predefined criteria.

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Index Terms

Computer Science
Information Sciences

Keywords

Credibility News events Twitter Social Media