Text-Based Detection of Unauthorized Users of Social Media Accounts

摘要: Although social media platforms can assist organizations’ progress, they also make them vulnerable to unauthorized users gaining access their account and posting as the organization. This have negative effects on company’s public appearance profit. Once attackers gain a account, are able post any content from that account. In this paper, we propose an author verification task in realm of blog posts detect block based textual post. We use different methods represent document, such word frequency word2vec, train two classifiers over these document representations. The experimental results show regardless classifier word2vec method outperforms other