# metooma: Multi-aspect annotations of tweets related to the metoo movement

A Gautam, P Mathur, R Gosangi, D Mahata… - Proceedings of the …, 2020 - aaai.org
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 …

Cybercrime Intention Recognition: A Systematic Literature Review

YW Kassa, JI James, EG Belay - Information, 2024 - mdpi.com
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 …

[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 …

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 …

Beyond plain toxic: building datasets for detection of flammable topics and inappropriate statements

N Babakov, V Logacheva, A Panchenko - Language Resources and …, 2024 - Springer
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 …

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 …

Intent mining framework for understanding online conversations on vaping to inform social media-based intervention design

A Gupta, V Velagapuri, H Xue… - Behaviour & Information …, 2024 - Taylor & Francis
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 …

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 …

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 …

When the bad is good and the good is bad: understanding cyber social health through online behavioral change

U Kursuncu, H Purohit, N Agarwal… - IEEE Internet …, 2021 - ieeexplore.ieee.org
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 …