This section examines the development of counterspeech from a computer science perspective, focusing on datasets, detection methods, and generation strategies. Two primary dataset types are identified: spontaneous social media comments and crafted counterspeech responses. Most data are sourced from platforms like Twitter, utilizing keyword searches or predefined comments to highlight contrasting viewpoints against hate speech. Recent challenges in accessing the Twitter API raise concerns for future research efficacy, making it essential to adapt strategies for gathering comprehensive counterspeech datasets.
Counterspeech datasets are vital for studying hate speech, derived from social media platforms, often through keyword searches and responses from predefined counterspeech accounts.
The accessibility of social media APIs has traditionally facilitated data retrieval for counterspeech research, particularly from Twitter, which faces recent accessibility challenges.
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