Machine learning algorithms for social media analysis: A survey
Social Media (SM) are the most widespread and rapid data generation applications on the
Internet increase the study of these data. However, the efficient processing of such massive …
Internet increase the study of these data. However, the efficient processing of such massive …
Machine learning–based cyber attacks targeting on controlled information: A survey
Stealing attack against controlled information, along with the increasing number of
information leakage incidents, has become an emerging cyber security threat in recent …
information leakage incidents, has become an emerging cyber security threat in recent …
Critical impact of social networks infodemic on defeating coronavirus COVID-19 pandemic: Twitter-based study and research directions
News creation and consumption has been changing since the advent of social media. An
estimated 2.95 billion people in 2019 used social media worldwide. The widespread of the …
estimated 2.95 billion people in 2019 used social media worldwide. The widespread of the …
Twenty years of machine-learning-based text classification: A systematic review
Machine-learning-based text classification is one of the leading research areas and has a
wide range of applications, which include spam detection, hate speech identification …
wide range of applications, which include spam detection, hate speech identification …
[HTML][HTML] Detection of spam-posting accounts on Twitter
Abstract Online Social Media platforms, such as Facebook and Twitter, enable all users,
independently of their characteristics, to freely generate and consume huge amounts of …
independently of their characteristics, to freely generate and consume huge amounts of …
Machine learning-based social media bot detection: a comprehensive literature review
In today's digitalized era, Online Social Networking platforms are growing to be a vital aspect
of each individual's daily life. The availability of the vast amount of information and their …
of each individual's daily life. The availability of the vast amount of information and their …
Detecting fake news for reducing misinformation risks using analytics approaches
Fake news is playing an increasingly dominant role in spreading misinformation by
influencing people's perceptions or knowledge to distort their awareness and decision …
influencing people's perceptions or knowledge to distort their awareness and decision …
“Leagile” software development: An experience report analysis of the application of lean approaches in agile software development
In recent years there has been a noticeable shift in attention from those who use agile
software development toward lean software development, often labelled as a shift “from …
software development toward lean software development, often labelled as a shift “from …
Learning textual features for Twitter spam detection: A systematic literature review
Background—Nowadays, with the rise of Internet access and mobile devices around the
globe, more people are using social networks for collaboration and receiving real-time …
globe, more people are using social networks for collaboration and receiving real-time …
Data-driven cyber security in perspective—Intelligent traffic analysis
Social and Internet traffic analysis is fundamental in detecting and defending cyber attacks.
Traditional approaches resorting to manually defined rules are gradually replaced by …
Traditional approaches resorting to manually defined rules are gradually replaced by …