Spam and Phishing Detection

Today's social bots are sophisticated and sometimes menacing. Indeed, their presence can endanger online ecosystems as well as our society.

• ONUR VAROL

The massive spread of digital misinformation has been identified as a major threat to democracies. Communication, cognitive, social, and computer scientists are studying the complex causes for the viral diffusion of misinformation, while online platforms are beginning to deploy countermeasures. Little systematic, data…

• ONUR VAROL

Increasing evidence suggests that a growing amount of social media content is generated by autonomous entities known as social bots. In this work we present a framework to detect such entities on Twitter. We leverage more than a thousand features extracted from public data and meta-data about users: friends, tweet con…

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• BANU DİRİ

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• BANU DİRİ
• ÖNDER DEMİR
• ÖZGÜR KORAY ŞAHİNGÖZ

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• SERKAN GÜNAL

Abstract The massive spread of digital misinformation has been identified as a major threat to democracies. Communication, cognitive, social, and computer scientists are studying the complex causes for the viral diffusion of misinformation, while online platforms are beginning to deploy countermeasures. Little systema…

No abstract yet.

• HARUN UĞUZ

The increased relevance of social media in our daily life has been accompanied by efforts to manipulate online conversations and opinions. Deceptive social bots—automated or semi-automated accounts designed to impersonate humans—have been successfully exploited for these kinds of abuse. Researchers have responded by d…

• ONUR VAROL

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• FEYZA ALTUNBEY ÖZBAY

Sentiment analysis is an important research direction of natural language processing, text mining and web mining which aims to extract subjective information in source materials. The main challenge encountered in machine learning method-based sentiment classification is the abundant amount of data available. This amou…

• AYTUĞ ONAN

Efficient and reliable social bot classification is crucial for detecting information manipulation on social media. Despite rapid development, state-of-the-art bot detection models still face generalization and scalability challenges, which greatly limit their applications. In this paper we propose a framework that us…