Recognizing fake news in social media with deep learning: a systematic review

R Katarya, M Massoudi - 2020 4th International Conference on …, 2020 - ieeexplore.ieee.org
In the last several years' social media has become a pivotal open communication model for
connecting people through several platforms and in this generation, social media networks …

Understanding social engagements: A comparative analysis of user and text features in Twitter

C Toraman, F Şahinuç, EH Yilmaz… - Social network analysis …, 2022 - Springer
Abstract Information is spread as individuals engage with other users in the underlying
social network. Analysis of social engagements can therefore provide insights to understand …

Role of twitter user profile features in retweet prediction for big data streams

S Sharma, V Gupta - Multimedia Tools and Applications, 2022 - Springer
To study the various factors influencing the process of information sharing on Twitter is a
very active research area. This paper aims to explore the impact of numerical features …

[PDF][PDF] A Dynamic Classification Approach to Churn Prediction in Banking Industry.

HC Leung, W Chung - AMCIS, 2020 - core.ac.uk
Churn prediction is the process of using transaction data to identify customers who are likely
to cease their relationship with a company. To date, most work in churn prediction focuses …

Boosting hidden graph node classification for large social networks

H Yang, Q Kong, W Mao, L Wang - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Identifying hidden nodes in social networks is a critical issue in security-related applications.
In contrast to the conventional node classification on graphs with all nodes being …

Event-related microblog retrieval in Turkish

Ç TORAMAN - Turkish Journal of Electrical Engineering and …, 2022 - journals.tubitak.gov.tr
Microblogs, such as tweets, are short messages in which users are able to share any
opinion and information. Microblogs are mostly related to real-life events reported in news …