Centre for Digital Governance
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“Hashjacking” the Debate: Polarisation Strategies of Germany’s Political Far-Right on Twitter
(2019)
Twitter is a digital forum for political discourse. The emergence of phenomena like fake news and hate speech has shown that political discourse on micro-blogging can become strongly polarised by algorithmic enforcement of selective perception. Recent findings suggest that some political actors might employ strategies to actively facilitate polarisation on Twitter. With a network approach, we examine the case of the German far-right party Alternative für Deutschland (AfD) and their potential use of a “hashjacking” strategy (The use of someone else’s hashtag in order to promote one’s own social media agenda.). Our findings suggest that right-wing politicians (and their supporters/retweeters) actively and effectively polarise the discourse not just by using their own party hashtags, but also by “hashjacking” the political party hashtags of other established parties. The results underline the necessity to understand the success of right-wing parties, online and in elections, not entirely as a result of external effects (e.g. migration), but as a direct consequence of their digital political communication strategy.
Artificial intelligence (AI) is a technical term often referring to artifacts used to detect contexts for human actions, or sometimes also for machines able to effect actions in response to detected contexts. Our capacity to build such artifacts has been increasing, and with it the impact they have on our society. This does not alter the fundamental roots or motivations of law, regulation, or diplomacy, which rest on persuading humans to behave in a way that provides sustainable security for humans. It does however alter nearly every other aspect of human social behaviour, including making accountability and responsibility potentially easier to trace. This chapter reviews the nature and implications of AI with particular attention to how they impinge on possible applications to and of law.
Robot, all too human
(2019)
EXECUTIVE SUMMARY
A large body of literature claims that ICT and digitalisation have triggered broad organisational and cultural changes in public organisations. These changes have led many to conclude that a new era has begun that is characterised by collaboration within intra-and intersectoral networks and this has become a key paradigm for public sector governance and innovation. Yet, empirical evidence of a shift towards “Networked Governance” remains limited, and few have explored further the linkages between digitalisation and collaboration in the public sector. Work Package 6 of the TROPICO project addresses this void by providing a meta-analysis of the design, coordination, and implementation of national digitalisation strategies in eight European countries with different administrative traditions (Estonia, France, Germany, Italy, Netherlands, Norway, Spain, and UK). By coding the countries’ first significant and most recent strategies, we examine whether there is evidence supporting the argument of a paradigmatic shift with respect to public sector governance and collaboration. The final analysis is based on 8496 codes and on an additional questionnaire filled out by the relevant TROPICO partners’ country teams. Based on our results we cannot conclude that a Networked Governance is emerging in the era of digital government, but rather find confirmation that all reform paradigms are present in governments’ digitalisation efforts. In fact, the way in which digital transformation of the public sector is put forward in the strategies may strengthen hierarchical patterns of command and control. Findings further indicate that over time collaboration has changed regarding scope and motives, while its intensity has remained relatively weak. Moreover, administrative traditions do not serve as explanatory approach for country variations in the context of digitalisation strategies. Rather, divergences are explained by the different geneses and purposes of the documents. However, we observe similarities in the perceived success factors: a common vision, cultural change, accessibility, leadership and trust are main recurring themes. Furthermore, we find no conclusive evidence that governance paradigms and collaborative arrangements in the digitalisation strategies influencethe performance of digital government. Lastly, in the conclusion of the report, we address some recommendations to practitioners for designing and implementing digitalisation strategies
The Instinct Planner is a new biologically inspired reactive planner, based on an established behaviour based robotics methodology and its reactive planner component—the POSH planner implementation. It includes several significant enhancements that facilitate plan design and runtime debugging. It has been specifically designed for low power processors and has a tiny memory footprint. Written in C++, it runs eciently on both Arduino(Atmel AVR) and Microsoft VC++ environments and has been deployed within a low cost maker robot to study AI Transparency. Plans may be authored using a variety of tools including a new visual design language, currently implemented using the Dia drawing package.
Artificial intelligence (AI) is a technical term referring to artifacts used to detect contexts or to effect actions in response to detected contexts. Our capacity to build such artifacts has been increasing, and with it the impact they have on our society. This article first documents the social and economic changes brought about by our use of AI, particularly but not exclusively focusing on the decade since the 2007 advent of smartphones, which contribute substantially to “big data” and therefore the efficacy of machine learning. It then projects from this political, economic, and personal challenges confronting humanity in the near future, including policy recommendations. Overall, AI is not as unusual a technology as expected, but this very lack of expected form may have exposed us to a significantly increased urgency concerning familiar challenges. In particular, the identity and autonomy of both individuals and nations is challenged by the increased accessibility of knowledge.
Designing authoritarian deliberation: how social media platforms influence political talk in China
(2019)
Discussion is often celebrated as a critical element of public opinion and political participation. Recently, scholars have suggested that the design and features of specific online platforms shape what is politically expressed online and how. Building on these findings and drawing on 112 semi-structured qualitative interviews with information technology experts and internet users, we explain how major Chinese social media platforms differ in structure and motivation. Drawing upon a nationwide representative survey and an online experiment, we find that platforms aiming to make users a source of information through public, information-centred communication, such as the Twitter-like Weibo, are more conducive to political expression; while platforms built to optimize building social connections through private, user-centred communication, such as WhatsApp and Facebook-like WeChat, tend to inhibit political expression. These technological design effects are stronger when users believe the authoritarian state tolerates discussion, but less important when political talk is sensitive. The findings contribute to the debate on the political consequences of the internet by specifying technological and political conditions.