The algorithms behind social media platforms prioritize user engagement, often by amplifying negative emotions like hate and fear, which disrupts healthy conversation.

In the current landscape, social media has become a powerful tool for both spreading false narratives and revealing truths, creating a complex environment for public discourse.

The unintended consequences of social media algorithms can promote hate, as seen in the case of Myanmar, where Facebook's algorithms spread conspiracy theories that contributed to ethnic cleansing.

Online anonymity allows individuals to spread misinformation without accountability, exacerbating the problem of misinformation.

One major mistake of social media was the unintended negative consequences of feed algorithms, which prioritized engagement over user well-being.

Social media algorithms create echo chambers by showing users content that confirms their existing biases, further dividing society.

The negative feedback loop on social media can be more powerful than positive reinforcement, as users are often shown content that aligns with their existing beliefs.

The negative interactions on platforms like Twitter are often more impactful than positive ones, leading to a general sense of unhappiness among users.

While my research focuses on the intersection of AI and disinformation, I emphasize that AI can be intentionally used for harmful purposes, such as creating believable fake content.