Nadav Shoval on machine learning
From Founder and CEO of OpenWeb on the Future of the Online Interaction | #78 Nadav Shoval · · FelixLevine
“The concept is simple — we go like the carrot and the stick: on the one hand we use ML algorithms to detect patterns of behavior like spam, hate speech, racism and different scopes of toxicity, and on the other hand we try to incentivize people to be slightly more thoughtful with positive reinforcement.”
On , Nadav Shoval, CEO & Co-Founder at OpenWeb, spoke about machine learning during Founder and CEO of OpenWeb on the Future of the Online Interaction | #78 Nadav Shoval on FelixLevine.
About Nadav Shoval
In a 2021 interview, Nadav Shoval, CEO and co-founder of OpenWeb, discussed the company's approach to fostering civil online conversations. He stated that OpenWeb works with publishers and brands to implement technology that helps maintain healthy discussions on their websites. Shoval described the platform's method as using machine learning algorithms to detect toxicity like hate speech and spam, while also using positive reinforcement to encourage thoughtful behavior. He noted that OpenWeb measures a "safety score" by comparing algorithm-approved messages against user reports of toxicity, and that the company publishes research to remain transparent. Shoval also commented on broader issues of online discourse, saying that hyper-personalization on social media creates "echo chambers" that are problematic for society. He expressed that OpenWeb aims to support diversity of information and empower various creators to build communities around content. Regarding his personal motivation, Shoval said he is focused on building things that have a positive impact on people and society, rather than pursuing a specific exit strategy.