AI now underpins nearly every aspect of social media, from personalized feeds and recommendations to sentiment analysis and automated moderation, raising concerns about transparency, privacy, and user autonomy.

Natural Language Processing enables content scanning and sentiment gauging, but it struggles with nuance and can reproduce biases from training data.

GenAI is reshaping content creation by making production more accessible and widening reach, while also elevating risks of misinformation, deepfakes, and blurred lines between authentic and synthetic content.

Recommendation systems drive engagement and filter bubbles, contributing to social and political polarization by tailoring content to individual behaviors and networks.

The author is a solicitor and community mediator with leadership roles in Australian and Sri Lankan institutions; views expressed are personal and not official positions of the publication.

Computer vision supports features like facial recognition and harmful-content detection, while also enabling privacy risks and surveillance concerns.

Immersive virtual worlds and metaverse environments enable highly personalized interactions but raise privacy, safety, and biometric data concerns, along with potential psychological manipulation.

Fairness in recommendation systems remains challenging, with some moves toward diversity and moderation, but most platforms still prioritize engagement and lack transparent audits.

Virtual influencers and AI-generated personas are emerging on social media, offering cost-effective content creation but raising authenticity, consent, and labor-displacement concerns.

Algorithmic bias arises from biased training data, design flaws, and limited testing, leading to disparate treatment of content across demographics and minority communities.

Data privacy concerns persist as platforms collect vast personal data and AI enhances surveillance by inferring sensitive traits from user behavior.

Information manipulation and misinformation are amplified by AI through engagement-driven amplification and synthetic media, influencing elections and public health outcomes.