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Abstract
Automation creates winners and losers. By examining establishment-level panel data, we explore how labour unions affect labor adjustment associated with automation. Although automation can increase new hires of junior and unskilled production workers, the presence of labour unions neutralizes these effects. The results suggest that labour unions have incentives to protect incumbent workers negatively affected by automation.

Abstract
News automation is an emerging field within journalism, with the potential to transform newswork. Increasing access to data, combined with developing technology, will allow further inquiries into automated journalism. Producing news text using NLG (natural language generation) is currently largely undertaken in specific, predictable news domains, such as sports or finance. This interdisciplinary study investigates how elite media representatives from Finland, Europe and the US imagine the affordances of this emerging technology for their organization. Our analysis shows how the affordances of news automation are imagined as providing efficiency, increasing output and aiding in reallocating resources to pursue quality journalism. The affordances are, however, constrained by such factors as access to structured data, the quality of automation and a lack of relevant skills. In its current form, automated text generation is seen as providing only limited benefits to news organizations that are already imagining further possibilities of automation.

For some, automation will usher in a labor-free utopia; for others, it signals a disastrous age-to-come. Yet whether seen as dream or nightmare, automation, argues Munn, is ultimately a fable that rests on a set of triple fictions. There is the myth of full autonomy, claiming that machines will take over production and supplant humans. But far from being self-acting, technical solutions are piecemeal; their support and maintenance reveals the immense human labor behind "autonomous" processes. There is the myth of universal automation, with technologies framed as a desituated force sweeping the globe. But this fiction ignores the social, cultural, and geographical forces that shape technologies at a local level. And, there is the myth of automating everyone, the generic figure of "the human" at the heart of automation claims. But labor is socially stratified and so automation's fallout will be highly uneven, falling heavier on some (immigrants, people of color, women) than others. Munn moves from machine minders in China to warehouse pickers in the United States to explore the ways that new technologies do (and don't) reconfigure labor. Combining this rich array of human stories with insights from media and cultural studies, Munn points to a more nuanced, localized, and racialized understanding of the "future of work."

In industrial relations, automation is frequently used as a synonym for displacement. More precisely defined, automation can have various direct & immediate effects on jobs. It may eliminate jobs outright: it may eliminate parts of several jobs: it may require new combinations of skills: & it may affect responsibility, working conditions, & the extent of worker control over rate of output. The impact of these effects has varied greatly in the past decade, depending on the nature of the work rules in the industry or the operation. Automation has been adopted most extensively in industries or operations which impose few barriers to reassignment of job duties - or in operations where collective bargaining is rare. Where automation has encountered rigid job lines & other restrictive work rules, labor management conflict has at times been intense. As automation becomes more flexible & economical, it may invade such areas to an increasing degree. Labor & management & the gov have adopted a variety of measures to prevent or alleviate displacement & to study proposals for future bargaining. AA.