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National and Cultural Identity in Mass Media: How to Resist Manipulations and Hate Speech

Abstract:
The mass media has become an arena where hate speech flourishes, not just as isolated incidents, but as a calculated means of manipulation. The research on this issue paints a disturbing picture—one where national and cultural iden tities are weaponized to foster division and animosity. Researchers have developed several methods to identify and mitigate the spread of such toxic content. Machine learning algorithms work by employing large datasets annotated for hate speech, these algorithms are trained to recognize patterns and features indicative of hateful language. The use of keyword detection involves creating exhaustive lists of terms and phrases frequently associated with hate speech. In the vast landscape of modern discourse, hate speech emerges as a malignant force, manifesting in various pernicious forms. Verbal aggression, intended to incite prejudicial hostility against specific groups based on race, religion, gender, sexual orientation, or other identifiable characteristics, is one such type. In an era dominated by mass media, national and cultural identities are increasingly susceptible to manipulation and hate speech. Recognizing the signs of manipu lative tactics—such as sensationalist language, emotional exploitation, and selective reporting—enables individuals to navigate media landscapes with a more judicious mindset.