text:   Stakeholders, and Potential Harms",5,"['📣 New #facct2022 paper “Justice in Misinformation Detection Systems: An Analysis of Algorithms, Stakeholders, and Potential Harms”.\nLed by 1st year @UTexasMcCombs PhD student @TerrenceNeumann (say hi to him in Seoul!), and joint with @sinafazelpur 🧵\n<LINK> <LINK>', 'As misinformation detection pipelines increasingly incorporate algorithms, justice of these systems become a central concern. Misinformation detection pipelines consist of varied tasks, each of which can give rise to many ethical concerns, and involve multiple stakeholders. 2/5 https://t.co/ZkeacaP5tS', 'Commonly, algorithmic fairness considers cases where each data instance pertains a single direct stakeholder that occupies one role: decision subject. In the case of informational items, in contrast, multiple stakeholders are directly implicated in each informational item. 3/5 https://t.co/NlgHksCQFa', 'We employ and extend upon the notion of informational justice to develop a framework for explicating issues of justice relating to misinformation detection systems, considering representation, participation, allocation, and credibility affecting different stakeholders. 4/5', 'Drawing on the framework: (1) we show how injustices materialize for stakeholders across three algorithmic stages in the pipeline; (2) we suggest empirical measures for assessing these injustices; and (3) we identify potential sources of these harms. 5/5']",22,04,1363