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| Reason | Typical Example | |--------|-----------------| | – Sites publish sensational headlines (“Kavya’s shocking transformation”) to drive traffic. | Photoshopped before‑after images. | | Social‑media trolling – Users remix old stills, add filters or super‑impose celebrities onto unrelated scenes. | Kavya placed at a “Hollywood party” that never happened. | | Deep‑fakes – AI‑generated videos or stills that swap faces onto other bodies. | A video of Kavya “attending” an awards ceremony she never visited. | | Misinformation – Wrongly attributed paparazzi shots from other actors. | A picture of another Malayalam actress mistakenly labeled as Kavya. |
The police eventually launched an investigation into the source of the fake photos and rumors. It was revealed that a disgruntled former employee of Kavya's team had been behind the malicious campaign. The employee was arrested and charged with cybercrime.
Kavya has been a vocal advocate for cyber safety, frequently identifying herself as a primary victim of digital harassment and misinformation.
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| Reason | Typical Example | |--------|-----------------| | – Sites publish sensational headlines (“Kavya’s shocking transformation”) to drive traffic. | Photoshopped before‑after images. | | Social‑media trolling – Users remix old stills, add filters or super‑impose celebrities onto unrelated scenes. | Kavya placed at a “Hollywood party” that never happened. | | Deep‑fakes – AI‑generated videos or stills that swap faces onto other bodies. | A video of Kavya “attending” an awards ceremony she never visited. | | Misinformation – Wrongly attributed paparazzi shots from other actors. | A picture of another Malayalam actress mistakenly labeled as Kavya. |
The police eventually launched an investigation into the source of the fake photos and rumors. It was revealed that a disgruntled former employee of Kavya's team had been behind the malicious campaign. The employee was arrested and charged with cybercrime.
Kavya has been a vocal advocate for cyber safety, frequently identifying herself as a primary victim of digital harassment and misinformation.
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