A Review of Spam Detection in Social Media

Ilke Yurtseven, Selami Bağrıyanık, Serkan Ayvaz

20212021 6th International Conference on Computer Science and Engineering (UBMK)23 citationsDOI

Abstract

With significant usage of social media to socialize in virtual environments, bad actors are now able to use these platforms to spread their malicious activities such as hate speech, spam, and even phishing to very large crowds. Especially, Twitter is suitable for these types of activities because it is one of the most common social media platforms for microblogging with millions of active users. Moreover, since the end of 2019, Covid-19 has changed the lives of individuals in many ways. While it increased social media usage due to free time, the number of cyber-attacks soared too. To prevent these activities, detection is a very crucial phase. Thus, the main goal of this study is to review the state-of-art in the detection of malicious content and the contribution of AI algorithms for detecting spam and scams effectively in social media.

Topics & Concepts

PhishingSocial mediaSpammingCrowdsMicrobloggingInternet privacySpambotComputer scienceForum spamWorld Wide WebComputer securityMalwareThe InternetSpam and Phishing DetectionAdvanced Malware Detection TechniquesNetwork Security and Intrusion Detection