Pennsylvania State University researchers have developed an automated technique that uses machine learning to identify doxing on social media.A form of cyberbullying, doxing involves publicly sharing private or personally identifiable information without a person's knowledge or consent.The researchers established a dataset of close to 180,000 Twitter posts likely featuring doxed information and used machine learning to categorize the data based on a person's identity or their location and then as self-disclosures or malicious disclosures.
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