CFP last date
20 January 2025
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.

References
  1. Aditi Gupta, Ponnurangam Kumaraguru . Credibility Raning of Tweets during High Impact Events. In ACM 2012.
  2. Narveen Sharma, Saptarishi Ghosh Fabricio Benevenuto, Niloy Ganguly, Krishna P. Gummadi. Inferring Who-is-Who in the Twitter Social Network. In ACM 2012.
  3. Nicholas Diakopoulos, Munmun De Choudhury, Mor Naaman. Finding and Assessing Social Media Information Sources in the Context of Journalism. In ACM 2012
  4. Maish Gupta, Pexiang Zhao, Jiawei Han. Evaluating Event Credibilty on Twitter. In Proc. SDM, 2012, pp. 153-164.
  5. Carlos Castrillo, Marcelo Mendoza, Barbara Poblete. Information Credibilty on Twitter. In ACM 2011
  6. Meredith Ringel Morris, Scott Counts, Asta Roseway, Aaron Hoff, Julia Schwarz. Tweeting is Believing? Understanding Microblog Credibility Perceptions. In ACM 2012.
  7. Adam Marcus, Michael S. Bernstein, Osama Badar. Processing and Visualizing the Data in Tweets. In SIGMOD Record, December 2011
  8. Chunliang Lu, Wai Lam, Yingxiao Zhang. Twitter User Modeling and Tweets Recommendation Based on Wikipedia Concept Graph. In Association for the Advancement of Artificial Intelligence 2012
  9. Fabian Abel Qi Gao, Geert-Jan Houben, Ke Tao. Semantic Enrichment of Twitter Posts for user Profile Construction on the Social Web. In In Proceedings of 8th Extended Semantic Web Conference (ESWC2011), Heraklion, Crete, Greece, May 2011.
  10. K. R. Canini, B. Suh, and P. L. Pirolli. Finding credible information sources in social networks based on content and social structure. In SocialCom, 2011.
  11. A. Gupta and P. Kumaraguru. Twitter explodes with activity in mumbai blasts! a lifeline or an unmonitored daemon in the lurking? In IIIT, Delhi, Technical report, 2011.
  12. Oh, M. Agrawal, and H. R. Rao. Information control and terrorism: Tracking the mumbai terrorist attack through twitter. Information Systems Frontiers, 2011.
Index Terms

Computer Science
Information Sciences

Keywords

Credibility News events Twitter Social Media