Machine learning algorithms for social media analysis: A survey

TK Balaji, CSR Annavarapu, A Bablani - Computer Science Review, 2021 - Elsevier
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 …

Machine learning–based cyber attacks targeting on controlled information: A survey

Y Miao, C Chen, L Pan, QL Han, J Zhang… - ACM Computing Surveys …, 2021 - dl.acm.org
Stealing attack against controlled information, along with the increasing number of
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

A Mourad, A Srour, H Harmanani… - … on Network and …, 2020 - ieeexplore.ieee.org
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 …

Twenty years of machine-learning-based text classification: A systematic review

A Palanivinayagam, CZ El-Bayeh, R Damaševičius - Algorithms, 2023 - mdpi.com
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 …

[HTML][HTML] Detection of spam-posting accounts on Twitter

I Inuwa-Dutse, M Liptrott, I Korkontzelos - Neurocomputing, 2018 - Elsevier
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 …

Machine learning-based social media bot detection: a comprehensive literature review

M Aljabri, R Zagrouba, A Shaahid, F Alnasser… - Social Network Analysis …, 2023 - Springer
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 …

Detecting fake news for reducing misinformation risks using analytics approaches

C Zhang, A Gupta, C Kauten, AV Deokar… - European Journal of …, 2019 - Elsevier
Fake news is playing an increasingly dominant role in spreading misinformation by
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

X Wang, K Conboy, O Cawley - Journal of Systems and Software, 2012 - Elsevier
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 …

Learning textual features for Twitter spam detection: A systematic literature review

SB Abkenar, MH Kashani, M Akbari… - Expert Systems with …, 2023 - Elsevier
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 …

Data-driven cyber security in perspective—Intelligent traffic analysis

R Coulter, QL Han, L Pan, J Zhang… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Social and Internet traffic analysis is fundamental in detecting and defending cyber attacks.
Traditional approaches resorting to manually defined rules are gradually replaced by …