Twitter fake account detection

Erşahin B., VARLIKLAR Ö., Kilmç D., Akyol C.

2nd International Conference on Computer Science and Engineering, UBMK 2017, Antalya, Turkey, 5 - 08 October 2017, pp.388-392, (Full Text) identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/ubmk.2017.8093420
  • City: Antalya
  • Country: Turkey
  • Page Numbers: pp.388-392
  • Keywords: Fake detection, Machine learning, Social media, Spam detection, Twitter
  • Manisa Celal Bayar University Affiliated: Yes

Abstract

Social networking sites such as Twitter and Facebook attracts millions of users across the world and their interaction with social networking has affected their life. This popularity in social networking has led to different problems including the possibility of exposing incorrect information to their users through fake accounts which results to the spread of malicious content. This situation can result to a huge damage in the real world to the society. In our study, we present a classification method for detecting the fake accounts on Twitter. We have preprocessed our dataset using a supervised discretization technique named Entropy Minimization Discretization (EMD) on numerical features and analyzed the results of the Naïve Bayes algorithm.