Communications Law Commons^™

Countering Personalized Speech, Leon G. Ho

Northwestern Journal of Technology and Intellectual Property

Social media platforms use personalization algorithms to make content curation decisions for each end user. These personalized recommendation decisions are essentially speech conveying a platform's predictions on content relevance for each end user. Yet, they are causing some of the worst problems on the internet. First, they facilitate the precipitous spread of mis- and disinformation by exploiting the very same biases and insecurities that drive end user engagement with such content. Second, they exacerbate social media addiction and related mental health harms by leveraging users' affective needs to drive engagement to greater and greater heights. Lastly, they erode end user …