Fake news detection: A survey of graph neural network methods
The emergence of various social networks has generated vast volumes of data. Efficient
methods for capturing, distinguishing, and filtering real and fake news are becoming …
methods for capturing, distinguishing, and filtering real and fake news are becoming …
Predicting cyberbullying on social media in the big data era using machine learning algorithms: review of literature and open challenges
Prior to the innovation of information communication technologies (ICT), social interactions
evolved within small cultural boundaries such as geo spatial locations. The recent …
evolved within small cultural boundaries such as geo spatial locations. The recent …
Cybercrime detection in online communications: The experimental case of cyberbullying detection in the Twitter network
The popularity of online social networks has created massive social communication among
their users and this leads to a huge amount of user-generated communication data. In recent …
their users and this leads to a huge amount of user-generated communication data. In recent …
Graph convolutional networks with markov random field reasoning for social spammer detection
The recent growth of social networking platforms also led to the emergence of social
spammers, who overwhelm legitimate users with unwanted content. The existing social …
spammers, who overwhelm legitimate users with unwanted content. The existing social …
[KIRJA][B] The anatomy of post-communist regimes: A conceptual framework
B Magyar, B Madlovics - 2020 - library.oapen.org
Offering a single, coherent framework of the political, economic, and social phenomena that
characterize post-communist regimes, this is the most comprehensive work on the subject to …
characterize post-communist regimes, this is the most comprehensive work on the subject to …
[KIRJA][B] Research methods in human-computer interaction
Research Methods in Human-Computer Interaction is a comprehensive guide to performing
research and is essential reading for both quantitative and qualitative methods. Since the …
research and is essential reading for both quantitative and qualitative methods. Since the …
Graphfl: A federated learning framework for semi-supervised node classification on graphs
Graph-based semi-supervised node classification (GraphSSC) has wide applications,
ranging from networking and security to data mining and machine learning, etc. However …
ranging from networking and security to data mining and machine learning, etc. However …
Faking sandy: characterizing and identifying fake images on twitter during hurricane sandy
In today's world, online social media plays a vital role during real world events, especially
crisis events. There are both positive and negative effects of social media coverage of …
crisis events. There are both positive and negative effects of social media coverage of …
A survey of sentiment analysis from social media data
K Chakraborty, S Bhattacharyya… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In the current era of automation, machines are constantly being channelized to provide
accurate interpretations of what people express on social media. The human race nowadays …
accurate interpretations of what people express on social media. The human race nowadays …
Empirical evaluation and new design for fighting evolving twitter spammers
To date, as one of the most popular online social networks (OSNs), Twitter is paying its dues
as more and more spammers set their sights on this microblogging site. Twitter spammers …
as more and more spammers set their sights on this microblogging site. Twitter spammers …