Search Results for author:
Found 6 papers, 0 papers with code
Embedding Privacy in Computational Social Science and Artificial Intelligence Research
Privacy is a human right.
A Comprehensive Survey of Natural Language Generation Advances from the Perspective of Digital Deception
In recent years there has been substantial growth in the capabilities of systems designed to generate text that mimics the fluency and coherence of human language.
Are You Robert or RoBERTa? Deceiving Online Authorship Attribution Models Using Neural Text Generators
Given the power of natural language models in generating convincing texts, this paper examines the degree to which these language models can generate texts capable of deceiving online AA models.
Out of the Shadows: Analyzing Anonymous' Twitter Resurgence during the 2020 Black Lives Matter Protests
These findings show that whilst the group has seen a resurgence during the protests, bot activity may be responsible for exaggerating the extent of this resurgence.
The Shadowy Lives of Emojis: An Analysis of a Hacktivist Collective's Use of Emojis on Twitter
Finally, we explore the textual context in which these emojis occur, finding that although similarities exist between the emoji usage of our Anonymous and baseline Twitter datasets, Anonymous users appear to have adopted more specific interpretations of certain emojis.
Behind the Mask: A Computational Study of Anonymous' Presence on Twitter
In this paper we re-examine some key findings reported in previous small-scale qualitative studies of the group using a large-scale computational analysis of Anonymous' presence on Twitter.
