Text mining and emotion classification on monkeypox Twitter dataset: A deep learning-natural language processing (NLP) approach

R Olusegun, T Oladunni, H Audu, YAO Houkpati… - IEEE …, 2023 - ieeexplore.ieee.org
Emotion classification has become a valuable tool in analyzing text and emotions people
express in response to events or crises, particularly on social media and other online …

Collective emotions, triggering events, and self-organization: The forest-fire model of cultural identity conflict escalation

F Schulte, C Trinn - Aggression and Violent Behavior, 2024 - Elsevier
Ethnic and religious conflicts frequently evolve into highly explosive situations marked by the
sudden eruption of conflictive mass behaviour in the form of leaderless protests or riots. In …

[PDF][PDF] PREDICTION OF PEOPLE SENTIMENTS ON TWITTER USING MACHINE LEARNING CLASSIFIERS DURING RUSSIAN AGGRESSION IN UKRAINE.

MR Baker, YN Taher, KH Jihad - Jordanian Journal of Computers …, 2023 - researchgate.net
Social media has become an excellent way to discover people's thoughts about various
topics and situations. In recent years, many studies have focused on social media during …

Racism hurts, can antiracism heal?: Positive mental health correlates of antiracist engagement

TN Brannon - PNAS nexus, 2023 - academic.oup.com
Racism can hurt by negatively impacting mental health. For instance, large-scale events tied
to racism like the May 2020 police-involved murder of George Floyd have been linked to …

How Do Moral Emotions Shape Political Participation? A Cross-Cultural Analysis of Online Petitions Using Language Models

J Kim, C Jeong, S Park, M Cha… - Findings of the Association …, 2024 - aclanthology.org
Understanding the interplay between emotions in language and user behaviors is critical.
We study how moral emotions shape the political participation of users based on cross …

[HTML][HTML] Impact of positive and negative emotions on protest for institutional reform: An analysis of# EndSars Twitter posts

A Eniayejuni - Acta Psychologica, 2023 - Elsevier
A protest is a collective action undertaken by a group of people to achieve a common goal.
Participation in protests is motivated by appraisals of a social condition. The dual pathway …

Unveiling the silent majority: stance detection and characterization of passive users on social media using collaborative filtering and graph convolutional networks

Z Zhou, E Elejalde - EPJ Data Science, 2024 - epjds.epj.org
Social Media (SM) has become a popular medium for individuals to share their opinions on
various topics, including politics, social issues, and daily affairs. During controversial events …

Making Sense of Post-match Fan Behaviors in the Online Football Communities

Y Wang, Z Lu - Proceedings of the 2023 CHI Conference on Human …, 2023 - dl.acm.org
Professional sports have large fan bases that congregate in online sports fan communities.
The sports community is suitable to be a sandbox for studying offline context's effects on …

Sentiment Classification of Anxiety-Related Texts in Social Media via Fuzing Linguistic and Semantic Features

J Zhu, Z Zhang, Z Guo, Z Li - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Anxiety disorder is a common mental disorder that has received increasing attention due to
its high incidence, comorbidity, and recurrence. In recent years, with the rapid development …

[HTML][HTML] Public emotion and response immediately following the death of George Floyd: A sentiment analysis of social media comments

J Scotland, A Thomas, M Jing - Telematics and Informatics Reports, 2024 - Elsevier
Social media use has become a critical form of social interaction connecting people of all
ages, and across geographic regions, political, and philosophical persuasions. The results …