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Topic and Sentiment Analysis of Responses to Muslim Clerics’ Misinformation Correction About COVID-19 Vaccine: Comparison of Three Machine Learning Models
Online Media and Global Communication, volume 1, issue 3 (2022), pp. 497-523
"This study employed three machine learning algorithms, Naïve Bayes, SVM, and a Balanced Random Forest to build a sentiment model that can detect Muslim sentiment about Muslim clerics’ anti-misinformation campaign on YouTube. Overall, 9701 comments were collected. An LDA-based topic model was als
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Access Rules: Freeing Data from Big Tech for a Better Future
Oakland, Cal.: University of California Press (2022), 209 pp.
"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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Data Ethics Toolkit: A companion to the Data Ethics Guidebook
Oakland, Cal.: Informing Change (2022), 21 pp.
"This Toolkit is a companion resource to the Guidebook for Ethical Thinking. Its contents represent practical tools for putting the Guidebook recommendations into practice, from a one-page map for ethical thinking to customizable consent forms to Stories from the Field." (Page 2)
Emerging technology trends: Artificial intelligence and big data for development 4.0
Geneva: ITU (2021), xv, 87 pp.
"Intended as a guide for policy-makers and other stakeholders in crafting a national AI and data strategy for development, the report highlights opportunities and outlines good policy and regulatory practices for implementation, while also flagging key challenges and offering hands-on suggestions in
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Super-Scoring? Datengetriebene Sozialtechnologien als neue Bildungsherausforderung
kopaed; Grimme-Institut (2021), 263 pp.
"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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YouTube Regrets: A Crowdsourced Investigation Into YouTube's Recommendation Algorithm
Mozilla (2021), 39 pp.
"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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Demokratie im digitalen Kapitalismus: Wie Bürger*innen durch Algorithmen ersetzt werden
Bielefeld: transcript Verlag; Bielefeld University Press (2021), 189 pp.
"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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Algorithms and Communication
Berlin: Freie Universität Berlin, Institute for Media and Communication Studies (2021), 132 pp.
"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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Recommended Reading: Amazon’s Algorithms, Conspiracy Theories and Extremist Literature
London: Institute for Strategic Dialogue (ISD) (2021), 22 pp.
"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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Using Big Data for Impact Evaluations
Oxford: Centre of Excellence for Development Impact and Learning (CEDIL) (2021), 7 pp.
"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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The Next Wave of Disruption: Emerging Market Media Use of Artificial Intelligence and Machine Learning. An Overview of New Technology Implementation in Emerging Market Media
Copenhagen: International Media Support (IMS) (2021), 63 pp.
"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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Data for Better Lives
Deep Insights
Washington, DC: World Bank (2021), xviii, 326 pp.
"This report aims to answer two fundamental questions. First, how can data better advance development objectives? Second, what kind of data governance arrangements are needed to support the generation and use of data in a safe, ethical, and secure way while also delivering value equitably? One impor
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Digital Technologies and War
International Review of the Red Cross, volume 102, issue 913 (2020), pp. 1-444
Leveraging Big Data to Advance Gender Equality
Washington, DC: International Finance Corporation (IFC) (2020), 7 pp.
"Gender equality and the empowerment of women and girls, one of the Sustainable Development Goals, is a highly complex and challenging undertaking. We must address multiple issues—discrimination, violence, education, employment, economic resources, and technology—and work across economic sectors
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"This guide has explored some of the key considerations that should inform the conceptualization and implementation of Machine Learning (ML) and artifical intelligence (AI) components within a development project. New, automated decision systems can offer considerable and rapid efficiency gains, but
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Guía de recolección de datos de personas migrantes
Montevideo: ILDA (2020), 47 pp.
"El objetivo de esta investigación es el desarrollo de una guía de recolección de datos de migración con el fin entender mejor las características de la población migrante. Las recomendaciones de este trabajo surgen a partir de tres casos de estudio en ciudades/regiones fronterizas: Monterrey
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