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Kids Are Facing Cyberbullying With 66% of Parents Being Unaware

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According to data gathered by Atlas VPN, 66% of parents are not monitoring their children’s time spent on social media. Research also shows a positive correlation between time spent on social media and the chance of being cyberbullied.

Statistics acquired by Atlas VPN on parental control over media consumption show that only 34% of parents limit time spent on social media. Scientists at BMC Public Health found that using social media for longer than 2 hours per day increases the risk of cyberbullying. 

The report shows that:

  • 66% of parents are not aware their child might be getting bullied online.
  • Children are spending more than 8 hours per day online, which leads to cyberbullying loneliness or anger issues.
  • In 2019, every fourth middle and high school student encountered mean or hateful comments about them online.
  • The “likes” function on social media makes kids lose their true identity.

“Likes” for children act as pooling data of how much other people like them. This leads kids to reduce their identity to an idealized image of themselves. Constant personal comparison to lives and pictures of peers damages self-esteem and body image.

The Department of Guidance and Psychological Counseling in the US, shows that kids spending 8.5 hours on screen per day end up cyberbullied, feeling lonely or angry. Rachel Welsh, COO of Atlas VPN, expressed her concern on social media damage to children, saying, “Being a helicopter parent is not a good idea, but leading your child towards a safer internet usage is a must. There are many browser add-ons that can be used to block or limit time on certain websites. Moreover, parents should consider limiting screen time to 2 hours per day.”

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WhatsApp Now Transcribes Voice Messages on Android

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Calling all Android users who dread lengthy voice messages: rejoice! WhatsApp is rolling out voice message transcription to its beta app.

This feature, already available for iOS users since May 2024, is now part of the WhatsApp Beta version 2.24.15.5 for Android. It automatically converts voice messages into text, making it easier and faster to understand conversations.

Currently, transcriptions are supported in five languages: English, Spanish, Portuguese (Brazil), Russian, and Hindi, with more languages promised in the future. Users opting in will need to download an additional data package to ensure all transcripts are generated directly on their devices, maintaining message privacy.

This update brings Android users closer to iOS users in terms of features and highlights WhatsApp’s commitment to improving the overall user experience.

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WhatsApp Trials AI Image Generator

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Calling all creative minds! WhatsApp is testing a new feature that uses AI to generate personalized avatars. Imagine yourself as a superhero, chilling on a beach, or even exploring space – the possibilities are endless! WABetaInfo discovered this feature in the latest Android beta update.

Here’s the tech behind the magic: a combo of user images, text descriptions, and Meta’s powerful AI, Llama. “Take photos of yourself once, then imagine yourself in any setting from the forest to outer space,” reads the screenshot on WhatsApp. The way it works is in the Meta AI Chat: users can type “Imagine in…” or “@Meta AI imagine me…” as a text prompt. A user’s likeness will then be used to generate the personalized image.

While there’s no official release date yet, this exciting feature is entirely optional. It joins the recently launched in-app custom sticker maker, showcasing WhatsApp’s commitment to fostering creativity within the app. This, alongside their ongoing development of AI chat functionalities, highlights Meta’s focus on making WhatsApp a platform that embraces both technological innovation and user expression.

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YouTube’s New Eraser Tool Now Removes Songs Without Ruining Your Videos

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Good news for creators! YouTube has rolled out a major update to its eraser tool, allowing them to effortlessly remove copyrighted music from their videos without sacrificing other audio elements like dialogue or sound effects.

In a recent video, YouTube acknowledged that the previous version of the tool needed improvement in terms of accuracy. This new iteration addresses that concern by utilizing an AI-powered algorithm that precisely detects and removes unwanted songs while leaving the rest of the audio intact.

However, YouTube’s support page advises creators that the algorithm might not always achieve perfect separation. As an alternative, creators can opt to “Mute all sound in the claimed segments,” effectively silencing any portions potentially containing copyrighted material.

Once the edit is finalized, YouTube automatically removes the content ID claim, a system designed to identify the use of copyrighted material within videos on the platform. This allows creators to proceed with their uploads without copyright concerns.

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