# metooma: Multi-aspect annotations of tweets related to the metoo movement
In this paper, we present a dataset containing 9,973 tweets related to the MeToo movement
that were manually annotated for five different linguistic aspects: relevance, stance, hate …
that were manually annotated for five different linguistic aspects: relevance, stance, hate …
Cybercrime Intention Recognition: A Systematic Literature Review
In this systematic literature review, we delve into the realm of intention recognition within the
context of digital forensics and cybercrime. The rise of cybercrime has become a major …
context of digital forensics and cybercrime. The rise of cybercrime has become a major …
[PDF][PDF] The detection of sexual harassment and chat predators using artificial neural network
NA Hamzah, BN Dhannoon - Karbala International Journal of Modern …, 2021 - iasj.net
The vast increase in using social media sites like Twitter and Facebook led to frequent
sexual_harassment on the Internet, which is considered a major societal problem. This …
sexual_harassment on the Internet, which is considered a major societal problem. This …
A framework for detecting intentions of criminal acts in social media: A case study on twitter
R Resende de Mendonça, D Felix de Brito… - Information, 2020 - mdpi.com
Criminals use online social networks for various activities by including communication,
planning, and execution of criminal acts. They often employ ciphered posts using slang …
planning, and execution of criminal acts. They often employ ciphered posts using slang …
Beyond plain toxic: building datasets for detection of flammable topics and inappropriate statements
Toxicity on the Internet is an acknowledged problem. It includes a wide range of actions from
the use of obscene words to offenses and hate speech toward particular users or groups of …
the use of obscene words to offenses and hate speech toward particular users or groups of …
Twitter content strategies to maximize engagement: The case of Thai Banks
M Thongmak - Computers in Human Behavior, 2024 - Elsevier
Purpose–This study aims to examine how the marketer-generated content (MGC) strategies
of banks affect their followers' engagement on Twitter. Design/methodology/approach–A …
of banks affect their followers' engagement on Twitter. Design/methodology/approach–A …
Intent mining framework for understanding online conversations on vaping to inform social media-based intervention design
The recent surge in the usage of e-cigarettes amongst youth has highlighted a long-standing
societal crisis. To assist public health agencies in policymaking, past research often …
societal crisis. To assist public health agencies in policymaking, past research often …
Pre-trained language models with limited data for intent classification
B Kasthuriarachchy, M Chetty… - … Joint Conference on …, 2020 - ieeexplore.ieee.org
Intent analysis is capturing the attention of both the industry and academia due to its
commercial and noncommercial significance. The rapid growth of unstructured data of micro …
commercial and noncommercial significance. The rapid growth of unstructured data of micro …
Is gender-based violence a confluence of culture? Empirical evidence from social media
S Dandapat - PeerJ Computer Science, 2022 - peerj.com
Gender-based violence (GBV) has been plaguing our society for long back. The severity of
GBV has spurred research around understanding the causes and factors leading to GBV …
GBV has spurred research around understanding the causes and factors leading to GBV …
When the bad is good and the good is bad: understanding cyber social health through online behavioral change
In spite of significant progress in technologies to fight negative uses of social media, it has
been challenging to detect, monitor, counter, and overcome the malevolent behaviors and …
been challenging to detect, monitor, counter, and overcome the malevolent behaviors and …