Proposed Risk Framework

Target of Risk

Individual Consumer

Individual exposure to danger, harm, or loss with regards to mental and physical health/safety.

Example: Heightened depression and anxiety due to cyberbullying; poor personal health practices due to medical misinformation.

Communal/Community

Community-wide exposure to danger, harm, or loss with regards to mental and physical health/safety.

Example: National security and public safety risks, such as increased frequency of terrorist attacks by radicalized subgroups.

Community-wide exposure to danger, harm, or loss with regards to financial matters.

Individual exposure to danger, harm, or loss with regards to financial matters.

Financial

Example: Phishing scams through Facebook Marketplace that expose individuals to financial vulnerabilities.

Example: Use of social media data for credit scoring, allowing for wide-scale precision marketing of predatory loans to vulnerable populations, as well as wide scale black boxed approaches for lending decisions.

Community-wide exposure to danger, harm, or loss with regards to privacy.

Privacy

Individual exposure to danger, harm, or loss with regards to privacy.

Example: Data breaches or data vulnerabilities that are leveraged to doxx individuals.

Example: Long-term shifts in privacy norms, leading to less value placed on privacy overall for the public (allowing Chinese firms to collect intimate data on US users) which can be exploited during times of crisis.

1 The surprising ways that social media can be used for credit scoring. Knowledge at Wharton. (2014, November 5). https://knowledge.wharton.upenn.edu/article/using-social-media-for-credit-scoring/ 2 Melancon, J. M. (2022, May 17). How social media posts could affect credit scores. UGA Today. https://news.uga.edu/how-social-media-posts-could-affectcredit-scores/

Social and Reputational