• G.Sindhura
• Dr. R. Jegadeesan
• RashmithaBhanu
• S.Hanudeep
• G.Srilatha

The reliability of information on Twitter has been a subject of interest among researchers in both the computer and computer fields Social sciences, primarily because of the recent growth of this platform as a tool for information dissemination. Twitter is increasingly possible to provide virtually real-time data transfer in a cost-effective manner. It is now used as a news source among a wide range of users around the world. The beauty of this platform is that they deliver content in a timely manner the way users are able to get news related to their topics of interest. Thus, the development techniques that can verify information from Twitter are a difficult and necessary task. In this system of reliability analysis to assess the reliability of information on Twitter to prevent the spread of counterfeiting or Malicious information. This system consists of four integrated components: a reputation-based component, a Drive reliability credibility, component user experience, algorithm ranking features. The components work together in an algorithmic form to analyze and evaluate the reliability of Twitter tweets and users. We tested the performance of our system on two different data sets of 489,330 unique Twitter accounts. We applied cross-checking 10 times through four automatic learning algorithms. The results reveal that a significant balance was achieved between the recall and accuracy of the set of data tested.

Credibility,Reputation,classification,user experience,feature-ranking,Twitter

"RELIABILITY ANALYSIS FOR TESTING INFORMATION ON TWITTER:SURVEY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.92-96, March-2019, Available :http://www.jetir.org/papers/JETIRAU06014.pdf

"RELIABILITY ANALYSIS FOR TESTING INFORMATION ON TWITTER:SURVEY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp92-96, March-2019, Available at : http://www.jetir.org/papers/JETIRAU06014.pdf