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The project analyses the effects of Algorithmic Management (AM) on employment relations and employee representation. AM systems are increasingly used to track the performance of employees or contractors and to optimize decisions concerning their tasks. If they are not designed in an inclusive way, this can result in work intensification, and increased standardization, control and surveillance.
Shifting media diets are increasingly viewed as a key driver of political polarization. In particular, prior research has focused on greater choice between partisan outlets and the rise of online news. This paper sheds light on a heretofore understudied yet equally salient development: the decline of local news. We argue that local news exits can induce polarization by increasing exposure to news about national politics, where partisan and ideological differences are more salient than at the local level.