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Understanding Persuasion Modes in Countering Hate Speech


Khái niệm cốt lõi
Persuasion modes play a crucial role in countering hate speech, with reason being more effective than emotion.
Tóm tắt
This study examines the use of persuasion modes in counter-speech to combat hate speech. It analyzes the impact of reason, emotion, and credibility on different types of conversation interactions. The study highlights the importance of incorporating persuasion modes for effective counter-speech strategies. Abstract: Examines factors in counter-speech against hate speech. Distills persuasion modes into reason, emotion, and credibility. Evaluates their use in closed and open conversation interactions. Observes nuanced differences between human and generated counter-speech. Introduction: Counter-speech is a common strategy to combat online hate speech. Challenges arise from content dynamics and interaction types. Studies have begun adopting machine-generated counter-speech. Data Extraction: "The findings highlight the potential of incorporating persuasion modes into studies about countering hate speech." "Reason as a persuasion mode tends to obtain more supportive replies than do other persuasion types."
Thống kê
Reason as a persuasion mode tends to obtain more supportive replies than do other persuasion types.
Trích dẫn
"The findings highlight the potential of incorporating persuasion modes into studies about countering hate speech."

Thông tin chi tiết chính được chắt lọc từ

by Ghadi Alyahy... lúc arxiv.org 03-26-2024

https://arxiv.org/pdf/2403.15449.pdf
Hatred Stems from Ignorance! Distillation of the Persuasion Modes in  Countering Conversational Hate Speech

Yêu cầu sâu hơn

How can we ensure that generative counter-speech effectively incorporates reason?

Generative counter-speech can be enhanced to effectively incorporate reason by implementing specific prompts or instructions that encourage the use of logical arguments and evidence in the generated responses. By providing clear guidelines within the training data for language models, such as highlighting the importance of presenting facts, statistics, and rational explanations in countering hate speech, we can steer generative models towards producing more reasoned responses. Additionally, fine-tuning the model on datasets that emphasize logical reasoning and critical thinking can help improve the generation of counterpoints based on sound logic rather than just emotional appeals.

What are the implications of relying on emotion-based counter-speech?

Relying solely on emotion-based counter-speech may have several implications. While emotions can be powerful motivators for engaging with hateful content and expressing strong reactions, they may not always lead to effective communication or persuasion. Emotion-based responses could potentially escalate conflicts or perpetuate negative interactions rather than fostering constructive dialogue. Moreover, emotional appeals might lack substance and fail to address underlying issues or provide meaningful solutions to combat hate speech. It is essential to strike a balance between emotional engagement and rational discourse in order to create impactful counter-speech strategies.

How can social media platforms better support reasoned counterpoints to hate speech?

Social media platforms can better support reasoned counterpoints to hate speech by implementing features that promote thoughtful discussions and discourage toxic behavior. One approach is to prioritize well-reasoned responses through algorithms that elevate constructive comments based on logical arguments and evidence while demoting inflammatory or emotionally charged content. Platforms could also introduce tools for fact-checking and verifying information shared in conversations related to sensitive topics like racism, sexism, or religion. Additionally, providing users with education on critical thinking skills and digital literacy could empower them to engage in more reasoned debates online. Encouraging respectful dialogue through community guidelines enforcement and moderation practices is crucial for creating a safe environment where diverse perspectives are valued. Social media companies should collaborate with experts in psychology, sociology, ethics, and communication studies to develop comprehensive strategies for promoting reasoned discourse amidst contentious issues present on their platforms.
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