Abstract‘Dogwhistles’ and microtargeted political advertisements are objects of widespread moral and political concern. With a few notable exceptions in the case of dogwhistles (and none in the case of microtargeting) moral criticism of these speech act types generally focuses on problematic content—that a dogwhistle is, for instance, racist, or a microtargeted advertisement misleading. I argue that these practices are additionally morally wrongful on content-neutral grounds—regardless of their content. My argument proceeds from a deliberative conception of democracy according to which (...) only a vote which follows from an adequate deliberative process confers democratic legitimacy on its results. I claim that both dogwhistles and microtargeting threaten to prevent adequate democratic deliberation from taking place, and therefore that these practices are anti-democratic and, additionally, morally impermissible. I then discuss potential objections and how my argument relates to existing work. (shrink)

Amongst other methods, political campaigns employ microtargeting, a specific technique used to address the individual voter. In the US, microtargeting relies on a broad set of collected data about the individual. However, due to the unavailability of comparable data in Germany, the practice of microtargeting is far more challenging. Citizens in Germany widely treat social media platforms as a means for political debate. The digital traces they leave through their interactions provide a rich information pool, which can (...) create the necessary conditions for political microtargeting following appropriate algorithmic processing. More specifically, data mining techniques enable information gathering about a people's general opinion, party preferences and other non-political characteristics. Through the application of data-intensive algorithms, it is possible to cluster users in respect of common attributes, and through profiling identify whom and how to influence. Applying machine learning algorithms, this paper explores the possibility to identify micro groups of users, which can potentially be targeted with special campaign messages, and how this approach can be expanded to large parts of the electorate. Lastly, based on these technical capabilities, we discuss the ethical and political implications for the German political system. (shrink)

Algorithmic communications pose several challenges to democracy. The three phenomena of filtering, hypernudging, and microtargeting can have the effect of polarizing an electorate and thus undermine the deliberative potential of a democratic society. Algorithms can spread fake news throughout the society, undermining the epistemic potential that broad participation in democracy is meant to offer. They can pose a threat to political equality in that some people may have the means to make use of algorithmic communications and the sophistication to (...) be immune from attempts at manipulation, while other people are vulnerable to manipulation by those who use these means. My concern here is with the danger that algorithmic communications can pose to political equality, which arises because most citizens must make decisions about what and who to support in democratic politics with only a sparse budget of time, money, and energy. Algorithmic communications such as hypernudging and microtargeting can be a threat to democratic participation when persons are operating in environments that do not conduce to political sophistication. This constitutes a deepening of political inequality. The political sophistication necessary to counter this vulnerability is rooted for many in economic life and it can and ought to be enhanced by changing the terms of economic life. (shrink)

This study examines how mainstream political actors and other organizations use political targeted messages. For this purpose, a data set from ProPublica is used. The study examines 55,918 sponsored Facebook ads that were posted by 236 political actors (i.e., political elites and other organizations) in the United States. (1) Topic classification was used to identify policy issues, (2) network analysis to identify the main policy issues from the various political actors, and (3) Sankey diagrams to visualize microtargeted messages. Our findings (...) indicate that actors focus on traditionally owned issues (i.e., the Democratic Party: environmental policy, social issues, and social welfare; the Republican Party: foreign affairs, law, and government finances). No clear evidence for a focus on wedge issues can be found, however, some first indications (e.g., a focus on reproductive rights, LGBTQ+) are present in a targeted media environment. All in all, the current study helps us to understand in what way political actors deploy targeted messages. (shrink)

The increasing diffusion of novel digital and online sociotechnical systems for arational behavioral influence based on Artificial Intelligence (AI), such as social media, microtargeting advertising, and personalized search algorithms, has brought about new ways of engaging with users, collecting their data and potentially influencing their behavior. However, these technologies and techniques have also raised concerns about the potential for manipulation, as they offer unprecedented capabilities for targeting and influencing individuals on a large scale and in a more subtle, automated (...) and pervasive manner than ever before. This paper, provides a narrative review of the existing literature on manipulation, with a particular focus on the role of AI and associated digital technologies. Furthermore, it outlines an account of manipulation based of four key requirements: intentionality, asymmetry of outcome, non-transparency and violation of autonomy. I argue that while manipulation is not a new phenomenon, the pervasiveness, automaticity, and opacity of certain digital technologies may raise a new type of manipulation, called “digital manipulation”. I call “digital manipulation” any influence exerted through the use of digital technology that is intentionally designed to bypass reason and to produce an asymmetry of outcome between the data processor (or a third party that benefits thereof) and the data subject. Drawing on insights from psychology, sociology, and computer science, I identify key factors that can make manipulation more or less effective, and highlight the potential risks and benefits of these technologies for individuals and society. I conclude that manipulation through AI and associated digital technologies is not qualitatively different from manipulation through human–human interaction in the physical world. However, some functional characteristics make it potentially more likely of evading the subject’s cognitive defenses. This could increase the probability and severity of manipulation. Furthermore, it could violate some fundamental principles of freedom or entitlement related to a person’s brain and mind domain, hence called neurorights. To this end, an account of digital manipulation as a violation of the neuroright to cognitive liberty is presented. (shrink)

Social media platforms take on increasingly big roles in political advertising. Microtargeting techniques facilitate the display of tailored advertisements to specific subsegments of society. Scholars worry that such techniques might cause political information to be displayed to only very small subgroups of citizens. Or that targeted communication about policy could make the mandate of elected representatives more challenging to interpret. Policy information in general and pledges, in particular, have received much scientific scrutiny. Scholars have focused largely on party manifestos, (...) but policy information and pledges communicated via online advertisements offer a new arena with new dynamics. This study uses Facebook’s ad library to describe how Dutch political campaigns advertise policy information and pledges in the run-up to the 2019 European Elections. The results show that much policy information is displayed to small subsegments of society. These findings provide evidence for concerns about pledge obfuscation, voter manipulation and mandate interpretation. (shrink)

Book. From the Publisher. An influential scientist in the field of artificial intelligence (AI) explains its fundamental concepts and how it is changing culture and society. -/- A particular form of AI is now embedded in our tech, our infrastructure, and our lives. How did it get there? Where and why should we be concerned? And what should we do now? The Shortcut: Why Intelligent Machines Do Not Think Like Us provides an accessible yet probing exposure of AI in its (...) prevalent form today, proposing a new narrative to connect and make sense of events that have happened in the recent tumultuous past, and enabling us to think soberly about the road ahead. -/- This book is divided into ten carefully crafted and easily digestible chapters. Each chapter grapples with an important question for AI. Ranging from the scientific concepts that underpin the technology to wider implications for society, it develops a unified description using tools from different disciplines and avoiding unnecessary abstractions or words that end with -ism. The book uses real examples wherever possible, introducing the reader to the people who have created some of these technologies and to ideas shaping modern society that originate from the technical side of AI. It contains important practical advice about how we should approach AI in the future without promoting exaggerated hypes or fears. -/- Entertaining and disturbing but always thoughtful, The Shortcut confronts the hidden logic of AI while preserving a space for human dignity. It is essential reading for anyone with an interest in AI, the history of technology, and the history of ideas. General readers will come away much more informed about how AI really works today and what we should do next. -/- Table of Contents -/- ABOUT THE AUTHOR. PROLOGUE. 1 The Search for Intelligence. 2 The Shortcut. 3 Finding Order in the World. 4 Lady Lovelace Was Wrong. 5 Unintended Behaviour. 6 Microtargeting and Mass Persuasion. 7 The Feedback Loop. 8 The Glitch. 9 Social Machines. 10 Regulating, Not Unplugging. EPILOGUE. BIBLIOGRAPHY. INDEX. (shrink)

Este artículo se centra en el análisis del uso de la industria del big data en la política. Se examina de forma pormenorizada el caso de la empresa Cambridge Analytica y se profundiza en los efectos del uso de la tecnología del big data en el referéndum de permanencia de Reino Unido en la Unión Europea y en las elecciones presidenciales estadounidenses de 2016. El objetivo es exponer los efectos nocivos que tiene el uso de la tecnología del big data (...) en los procesos electorales y los daños que esta tecnología puede producir en los sistemas democráticos. (shrink)