A New Instagram Anti-Bullying Feature Stops User Harassment
Justin Lam — October 10, 2018 — Tech
A new Instagram anti-bullying feature is being implemented on the photo-sharing app to help further thwart the prevalence of online harassment. Utilizing machine learning, this new system works to proactively spot bullying in photos and captions. Human moderators will still be used to review the content, but the machine learning software will work as a powerful tool in quickly identifying acts of bullying.
The anti-bullying feature has slowly been introduced onto the app and will continue to roll out further in the coming weeks. This new feature follows another Instagram initiative that automatically filters out bullying comments that are designed to harass or upset users. This past feature also removes spam in comments as well as in Live Videos on Instagram.
Image Credit: Reuters/Charles Platiau
The anti-bullying feature has slowly been introduced onto the app and will continue to roll out further in the coming weeks. This new feature follows another Instagram initiative that automatically filters out bullying comments that are designed to harass or upset users. This past feature also removes spam in comments as well as in Live Videos on Instagram.
Image Credit: Reuters/Charles Platiau
Trend Themes
1. Machine Learning Anti-bullying Systems - The trend of using machine learning technology to detect and prevent online bullying is on the rise, providing opportunities for companies to develop anti-bullying software.
2. Proactive Anti-bullying Measures - The trend towards proactive measures in anti-bullying efforts, such as those offered by machine learning, offers opportunities for companies to expand beyond reactive measures in addressing the problem of online harassment.
3. Automated Online Content Moderation - The trend towards automation in online content moderation, as demonstrated by Instagram's use of artificial intelligence to filter and remove harmful content, presents an opportunity for companies to develop similar systems for other social media platforms and online communities.
Industry Implications
1. Social Media - The social media industry can leverage anti-bullying measures and machine learning technology to foster a safer, more inclusive community for its users.
2. Artificial Intelligence (AI) - The AI industry has the opportunity to develop machine learning algorithms that can detect and prevent online bullying, potentially expanding to other industries outside of social media.
3. Cybersecurity - The cybersecurity industry can contribute to the advancement of online safety and privacy by developing tools and technologies that prevent online bullying and harassment.
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