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Literature Review: Cyberbullying Labeling Schemes and Annotation Guidelines
Cyberbullying, defined as willful and repeated harm inflicted through digital means, continues to rise in prevalence and severity, particularly among youth populations, who are exposed to social media at starting at young ages. The mental health consequences of cyberbullying—including anxiety, depression, and suicidal ideation—are well-documented (NIH, 2023). As a result, researchers have increasingly turned to…
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The Hidden Dangers of Data Augmentation
In the rapidly evolving world of AI, data is king—but what happens when the data we rely on is synthetic? While data augmentation offers a promising solution to the challenges of collecting real-world examples, it comes with hidden dangers. From the risk of model collapse to the inability to capture the nuances of human language,…
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How We Mapped the Digital Battlefield: Creating Categories to Combat Cyberbullying
Creating Categories to Combat Cyberbullying A journey through 40+ research papers, heated debates, and yellow sticky notes The Search That Started It All Picture this: A group of Impact Fellows, armed with laptops and determination, diving into the murky waters of cyberbullying research. Our mission? To create a framework that could help AI systems recognize…
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