"Argues that what makes AI socially relevant and useful is not intelligence at all but something even more human: communication. If machines are going to improve their ability to address ever more important human issues, it will not be because they have learned to think like people, but because we h
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ave learned to communicate with them." (Publisher description)
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"DataFest Africa is an annual event that seeks to celebrate data use in the region by bringing together a variety of stakeholders of diverse backgrounds such as government, civil society, academics, students and private industry experts under one roof and theme. Since 2019, Pollicy, with support fro
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m partners, has been organising DataFest, an annual celebration of data that has so far transformed from a Kampala edition (DataFest Kampala) to an African regional edition (DataFest Africa). DataFest Africa continues to bring together data enthusiasts, Civil Society Organisations, Government, private sector and more to discuss trends on data across the continent. The biggest so far, the 3rd edition of DataFest (now DataFest Africa) held under the theme: "Data Futures: Big Data, Little Data, and Everything in Between'' was a hybrid event that attracted a wide range of participants and stakeholders. The month-long edition started on June 10th to July 17th. We welcomed a total of 716 participants from 3 countries, a steady increase in our community, which has more than tripled since our first ever edition in 2019. This report is a reflection of key outcomes, numbers and impact of the 2022 edition of DataFest Africa." (Introduction)
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"This publication is the last of four reports from a regional study completed in 2021 and funded by the technical assistance of the Asian Development Bank (ADB) on Policy Advice for COVID-19 Economic Recovery in Southeast Asia. The project supports the recovery efforts of Southeast Asian countries t
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o return to their economic performance before the coronavirus disease (COVID-19) pandemic. It also assists countries in preparing for national, regional, or global transformations that may take place post-COVID-19. The focus countries are Cambodia, Indonesia, Myanmar, the Philippines, and Thailand, which tapped ADB's COVID-19 Pandemic Recovery Option facility. The study produced four reports on the following thematic areas: 1. Supporting post-COVID-19 economic recovery in Southeast Asia. 2. Strengthening domestic resource mobilization in Southeast Asia. 3. Implementing a green recovery in Southeast Asia. 4. Harnessing the potential of big data in post-pandemic Southeast Asia." (Foreword)
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"The collection, processing, storage and circulation of data are fundamental element of contemporary societies. While the positivistic literature on ‘data revolution’ finds it essential for improving development delivery, critical data studies stress the threats of datafication. In this article,
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we demonstrate that datafication has been happening continuously through history, driven by political and economic pressures. We use historical examples to show how resource and personal data were extracted, accumulated and commodified by colonial empires, national governments and trade organizations, and argue that similar extractive processes are a present-day threat in the Global South. We argue that the decoupling of earlier and current datafication processes obscures the underlying, complex power dynamics of datafication. Our historical perspective shows how, once aggregated, data may become imperishable and can be appropriated for problematic purposes in the long run by both public and private entities. Using historical case studies, we challenge the current regulatory approaches that view data as a commodity and frame it instead as a mobile, non-perishable, yet ideally inalienable right of people." (Abstract)
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"This paper examines responses to disinformation, in particular those involving automated tools, from a human rights perspective. It provides an introduction to current automated content moderation and curation practices, and to the interrelation between the digital information ecosystem and the phe
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nomenon of disinformation. The paper concludes that an unwarranted use of automation to govern speech, in particular highly context-dependent disinformation, is neither in line with states’ positive obligation to protect nor with intermediaries’ responsibility to respect human rights. The paper also identifies required procedural and remedial human rights safeguards for content governance, such as transparency, user agency, accountability, and independent oversight. Though essential, such safeguards alone appear insufficient to tackle COVID-19 online disinformation, as highly personalized content and targeted advertising make individuals susceptible to manipulation and deception. Consequently, this paper demonstrates an underlying need to redefine advertising- and surveillance-based business models and to unbundle services provided by a few dominant internet intermediaries to sustainably address online disinformation." (Abstract)
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"This report sets out data on the extent of publisher adoption alongside motivations for joining TikTok; pulls together top tips from TikTok creators and discuss the metrics most commonly used to evaluate success; explores different strategies for engaging users on the platform, highlighting case st
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udies from early pioneers as well as independent news creators and activists; and looks at future opportunities for monetisation and ways in which publishers would like TikTok to better support reliable and trusted news sources." (Introduction and Key Findings, page 4)
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"This Policy Brief examines the different ways in which big data collection serves autocratic agendas by hiding the oppressive potential of heightened surveillance through promises of enhanced safety, convenience, and modernisation. Political actors with autocratic agendas can package their governan
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ce agenda via these promises of big data to bolster their legitimacy as leaders and avoid backlash for their invasive policies. The paper explores case studies illustrating that in some cases citizens welcome or do not object to invasive policies when autocrats frame the collection of private information as enhancing citizen safety and convenience. The paper then unpacks how the narrative push for digital solutionism and technology optimism unwittingly serves autocratic agendas. Finally, recommendations are provided for policymakers and civil society organisations seeking to resist the sinister alliance of big data and autocratic repression or what some have rightfully called, “digital dictatorships.'' Understanding the facets of big data that make them a crucial cog in autocratic governance can better aid civil society organisations and multilateral democratic institutions to combat the threat of data-driven autocracy." (Abstract)
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"This volume highlights some of the alternative models that have originated in two major Asian democracies, India and South Korea. It compares these two countries’ distinctive approaches through case studies that demonstrate just how much more complex the world will be than the common-place predic
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tion of a battle between U.S.- and Chinese-centric approaches." (Introduction, page 2)
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"What constitutes a data practice and how do contemporary digital media technologies reconfigure our understanding of practices in general? Autonomously acting media, distributed digital infrastructures, and sensor-based media environments challenge the conditions of accounting for data practices bo
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th theoretically and empirically. Which forms of cooperation are constituted in and by data practices? And how are human and nonhuman agencies distributed and interrelated in data-saturated environments? The volume collects theoretical, empirical, and historiographical contributions from a range of international scholars to shed light on the current shift from media to data practices." (Publisher description)
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"Access Rules mounts a strong and hopeful argument for how informational tools at present in the hands of a few could instead become empowering machines for everyone. By forcing data-hoarding companies to open access to their data, we can reinvigorate both our economy and our society. Authors Viktor
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Mayer-Schönberger and Thomas Ramge contend that if we disrupt monopoly power and create a level playing field, digital innovations can emerge to benefit us all. Over the last twenty years, Big Tech has managed to centralize the most relevant data on their servers, and data has become the most important raw material for innovation. Dominant oligopolists like Facebook, Amazon, and Google, contrary to their reputation as digital pioneers, are in fact slowing down innovation and progress for the benefit of their shareholders--and at the expense of customers, the economy, and society. As Access Rules compellingly argues, ultimately it is up to us to force information giants, wherever they are located, to share their treasure troves of data with others. In order for us to limit global warming, contain a virus like COVID-19, or successfully fight poverty, everyone must have access to data - citizens and scientists, start-ups and established companies, as well as the public sector and NGOs. When everyone has access to the informational riches of the data age, the nature of digital power will change. Information technology will find its way back to its original purpose: empowering all of us to use information so we can thrive as individuals and as societies." (Publisher description)
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"YouTube is the second-most visited website in the world, and its algorithm drives 70% of watch time on the platform—an estimated 700 million hours every single day. For years, that recommendation algorithm has helped spread health misinformation, political disinformation, hateful diatribes, and o
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ther regrettable content to people around the globe. YouTube’s enormous influence means these films reach a huge audience, having a deep impact on countless lives, from radicalization to polarization [...] 37,380 YouTube users stepped up as YouTube watch dogs, volunteering data about the regrettable experiences they have on YouTube for Mozilla researchers to carefully analyze. As a result, Mozilla gained insight into a pool of YouTube's tightly-held data in the largest-ever crowdsourced investigation into YouTube's algorithm. Collectively, these volunteers flagged 3,362 regrettable videos, coming from 91 countries, between July 2020 and May 2021. This report highlights what we learned from our RegretsReporter research. Specifically, we uncovered three main findings: 1. YouTube Regrets are disparate and disturbing. Our volunteers reported everything from Covid fear-mongering to political misinformation to wildly inappropriate "children's" cartoons. The most frequent Regret categories are misinformation, violent or graphic content, hate speech, and spam/scams. 2. The algorithm is the problem. 71% of all Regret reports came from videos recommended to our volunteers by YouTube's automatic recommendation system. Further, recommended videos were 40% more likely to be reported by our volunteers than videos that they searched for. And in several cases, YouTube recommended videos that actually violate their own Community Guidelines and/or were unrelated to previous videos watched. 3. Non-English speakers are hit the hardest. The rate of YouTube Regrets is 60% higher in countries that do not have English as a primary language (with Brazil, Germany and France being particularly high), and pandemic-related Regrets were especially prevalent in non-English languages." (Executive summary)
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"Beim so genannten „Scoring“ wird einer Person mithilfe algorithmischer Verfahren ein Zahlenwert zugeordnet, um ihr Verhalten zu bewerten und zu beeinflussen. „Super-Scoring“-Praktiken gehen noch weiter und führen Punktesysteme und Skalen aus unterschiedlichen Lebensbereichen zusammen, wie
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etwa Bonität, Gesundheitsverhalten oder Lernleistungen. Diese Ver-fahren könnten sich zu einem neuen und übergreifenden Governance-Prinzip in der digitalen Gesellschaft entwickeln. Ein besonders prominentes Beispiel ist das Social Credit System in China. Aber auch in westlichen Gesellschaften gewinnen Scoring-Praktiken und digitale Soziometrien an Bedeutung. Dieser Open Access Band stellt aktuelle Beispiele von datengetriebenen sozialen Steuerungs-prozessen aus verschiedenen Ländern vor, diskutiert ihre normativen Grundlagen und gesell-schaftspolitischen Auswirkungen und gibt erste bildungspolitische Empfehlungen. Wie ist der aktuelle Stand einschlägiger Praktiken in China und in westlichen Gesellschaften? Wie sind die individuellen und sozialen Folgen zu bewerten? Wie wandelt sich das Bild vom Menschen und wie sollte bereits heute die politische und aufklärerische Bildung darauf reagieren?" (Buchrückseite)
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"Seitdem das Fernsehen Politik macht, werden Einwände und Kritik gegen Regierende über den Bildschirm kommuniziert – die Bürger*innen sind in passives Zuschauen gedrängt. Der Aufstieg der sozialen Medien dagegen verspricht neue Möglichkeiten der Teilhabe. Doch wird der öffentliche Raum immer
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undurchsichtiger, komplexer und schwerer zu fassen: Meinungen und Verhaltensmuster werden zunehmend durch Algorithmen kontrolliert, die globalen Unternehmen unterstehen. Welche Alternativen bleiben angesichts dieser Enteignung? Dissidenz und Hacking? Im Spiegel der forcierten (Zwangs-)Digitalisierung durch die Covid-19-Pandemie widmet sich Néstor García Canclini aus kultur- und politikwissenschaftlicher Perspektive diesem Komplex." (Verlagsbeschreibung)
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"Just as in the global context, new tools are being used by the media in Latin America and Central and Eastern Europe (CEE). The use of artificial intelligence and machine learning (ALI/ML) is not limited to large, corporate media. But the reality of different news organisations with a variety of bu
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dgets and markets can vary deeply. In Latin America, only a handful of media organisations are embracing AI or machine learning in house, most notably in Argentina, Perú and México and none as part of a long term effort to embrace the technology. While most of the news organisations consulted are using some sort of AI implementation through vendors or third party solutions and there is strong appetite for more it is rarely part of a strategic vision. In CEE, digital natives are embracing AI/ML solutions and the region has been produced a few AI/ML based third party solution providers with global reach or ambitions. Competition for talent is a major bottleneck, as media have to compete with the global outsourcing of IT jobs to the region. The other challenge is state pressure on media, especially in such markets as Russia or Belarus, which makes long-term planning and investment impractical." (Key findings, page 5)
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"Big data can contribute to the evidence base in development sectors where evaluations are often infeasible due to data issues. Given the rapidly increasing availability of big data and improving computation capacity, there is a great potential for using big data in future impact evaluations. Big da
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ta can also contribute to evaluations through providing new ways to identify control groups and establish counterfactuals, and can strengthen the analysis with data on pre-programme trends, covariates, and sub-groups, as well as enabling better robustness analyses. However, there are several analytical, ethical, and logistical challenges that may hinder the use of big data in impact evaluations. Standards should be set for the reporting of data quality issues, data representativeness, and data transparency. More interaction is needed between big data analysts, remote sensing scientists, and evaluators." (Conclusion)
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"The role of algorithms in propelling conspiracy theories and radicalisation has been brought into sharp focus by the interlocking crises of the past 12 months. Social media platforms have sought to tamp down on algorithmic recommendation of conspiracy theories and extremist content, for example by
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preventing conspiracy-linked hashtags from trending or stopping certain groups and pages from being recommended to other users." (Introduction)
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"The role of algorithms for producing and curating content as well as potential outcomes of these mechanisms is one of the most debated issues in existing communication research. “Communicating algorithms” affect processes of political, social and interpersonal communication. A broad variety of
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communication fields is thus currently touched on by algorithms, ranging from news exposure, public opinion forming, information retrieval, and political communication processes among others. However, a scientific sound and objective consideration of algorithms as actors in digital (mass) communication is still scarce. The special issue “Algorithms and Communication” addresses this research gap. It presents theoretical as well as empirical results in important fields of communication science, such as media literacy, news aggregation or robotics. With this, it aims to shed light on the black-box of algorithms as “hidden actors” in communication processes." (Abstract)
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