Social Media Analysis
Social networks harness the power of persuasive technology to increase user engagement. However, these persuasive strategies have raised concerns about whether these platforms are intentionally exploiting persuasion to influence users to perform tasks they are unaware of or lack a clear understanding of. These strategies have come under scrutiny within the field of dark patterns, where research aims to uncover the different types of dark patterns and identify them in order to protect the user’s well being.
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The dataset crafted for this study is intentionally designed to encapsulate instances of cyberbullying across three distinct languages: Urdu, Roman Urdu, and English. This strategic selection aims to mirror the linguistic variations that are prevalent in social media dialogues among Urdu-speaking communities globally. Further, it undergoes meticulous annotation to encapsulate the diverse linguistic nuances characteristic of these languages. This process includes integrating critical aspects of cyberbullying, such as aggression, repetition, and intent to harm.
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