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Cyberbullying in text content detection: an analytical review
Technological advancements have resulted in an exponential increase in the use of online
social networks (OSNs) worldwide. While online social networks provide a great …
social networks (OSNs) worldwide. While online social networks provide a great …
[HTML][HTML] Novel hate speech detection using word cloud visualization and ensemble learning coupled with count vectorizer
T Turki, SS Roy - Applied Sciences, 2022 - mdpi.com
A plethora of negative behavioural activities have recently been found in social media.
Incidents such as trolling and hate speech on social media, especially on Twitter, have …
Incidents such as trolling and hate speech on social media, especially on Twitter, have …
Modeling, evaluating, and applying the eWoM power of reddit posts
Electronic Word of Mouth (eWoM) has been largely studied for social platforms, such as Yelp
and TripAdvisor, which are highly investigated in the context of digital marketing. However, it …
and TripAdvisor, which are highly investigated in the context of digital marketing. However, it …
[HTML][HTML] Concerned or apathetic? Using social media platform (Twitter) to gauge the public awareness about wildlife conservation: a case study of the illegal rhino …
S Shan, X Ju, Y Wei, X Wen - International Journal of Environmental …, 2022 - mdpi.com
The illegal wildlife trade is resulting in worldwide biodiversity loss and species' extinction. It
should be exposed so that the problems of conservation caused by it can be highlighted and …
should be exposed so that the problems of conservation caused by it can be highlighted and …
Addressing long-tailed distribution in judicial text for criminal motive classification: a balanced contrastive learning approach
T Li, L Mi, X Meng, Y Jia, L Zhao, Q Zhao, Z Wei… - EPJ Data …, 2025 - epjds.epj.org
Understanding criminal motives is crucial for analyzing criminal psychology and predicting
judicial outcomes. Traditional methods for crime motive analysis are heavily based on …
judicial outcomes. Traditional methods for crime motive analysis are heavily based on …
[PDF][PDF] ITAINNOVA@ DA-VINCIS: A Tale of Transformers and Simple Optimization Techniques.
RM Montañes-Salas, R del-Hoyo-Alonso… - IberLEF …, 2022 - ceur-ws.org
This paper describes the participation of ITAINNOVA at the “Detection of Aggressive and
Violent Incidents from Social Media in Spanish” task (DA-VINCIS), framed within the …
Violent Incidents from Social Media in Spanish” task (DA-VINCIS), framed within the …
[PDF][PDF] Racism and hate speech detection on Twitter: A QAHA-based hybrid deep learning approach using LSTM-CNN
PK Jayapal, KRD Ramachandraiah… - Int J. Knowl. Innov …, 2023 - library.acadlore.com
Twitter, a predominant platform for instantaneous communication and idea dissemination, is
often exploited by cybercriminals for victim harassment through sexism, racism, hate speech …
often exploited by cybercriminals for victim harassment through sexism, racism, hate speech …
Sco** Review of the Implications of Hate on Society
DS Harder - 2024 - search.proquest.com
Researchers around the globe have examined the denigrative influence of hate speech and
hate crimes on the lives of individual citizens and diverse groups. The last decade has …
hate crimes on the lives of individual citizens and diverse groups. The last decade has …
Multiclass hate speech detection with an aggregated dataset
S Walsh, P Greaney - Natural Language Processing - cambridge.org
Detecting and removing hate speech content in a timely manner remains a challenge for
social media platforms. Automated techniques such as deep learning models offer solutions …
social media platforms. Automated techniques such as deep learning models offer solutions …
[PDF][PDF] Exposing the Shadows: Discursive Insights from X Netizens on Academic Paper Mills
The operating mechanisms of paper mills have received much attention, but little is known
about how social media sites-in particular, X-help identify and discuss these fraudulent …
about how social media sites-in particular, X-help identify and discuss these fraudulent …