Relevant bibliographies by topics / Algorithmic discourse

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Algorithmic discourse'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Algorithmic discourse"

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师, 文., and 昌凤 陈. "Hot Topics for Global Intelligent Communication Research 2023: Algorithmic Audit,Algorithmic Culture, and Algorithmic Discourse." 全球传媒学刊 11, no. 1 (2024): 106–21. http://dx.doi.org/10.26599/gjms.2024.9330007.

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全球智能传播研究十分关注算法衍生出的多个议题。本研究统计分析了2023年发表于国际国内代表性新闻传播期刊的智能传播论文的研究主题,提炼出“媒体机构与算法技术”“算法审计”“人机差异”“算法文化”“算法话语”五个核心研究方向。其中,“媒体机构与算法技术”主题侧重于探讨新闻机构对算法平台的依赖性以及新闻从业者的新闻价值追求与智能技术之间的张力;“算法审计”主题展现出关注对象更多元、设计更复杂、视角更广阔的动向,与“算法审计”相互补的研究思路也正在涌现;“人机差异”领域既涌现出大量针对特定应用的微观实证研究,也催生了对既有研究范式冲突的反思;“算法文化”主题特别强调算法对人类社会文化的反哺作用,从算法化自我、算法化连结、算法化媒介实践角度探讨“人机共建”的意义生成;“算法话语”被广泛用于分析洞察算法技术背后的意识形态研究,涉及媒体话语、科技公司话语、规范话语等维度。
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Muchitsch, Veronika. "“Genrefluid” Spotify Playlists and Mediations of Genre and Identity in Music Streaming." IASPM Journal 13, no. 3 (2023): 48–65. http://dx.doi.org/10.5429/2079-3871(2023)v13i3.5en.

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Recent popular discourse has claimed that music and listeners’ tastes are becoming increasingly “genrefluid” in popular music culture, and this idea has been linked to the logics of music streaming services. This article analyzes the Spotify-curated playlist Lorem, which has been presented by the company as a primary illustration of “genrefluid” music curation and listening, to investigate Spotify’s mediations of genre and identity at the intersections of media discourse, genre metadata, and curated sound. I discuss how the idea of genrefluidity links post-genre and post-identity discourses to
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Behnam Shad, Klaus. "Algorithmic Hegemony." Journal of Sociocybernetics 20, no. 1 (2025): 13–41. https://doi.org/10.26754/ojs_jos/jos.2025111599.

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This article examines the transformative role of AI-mediated communication systems (AIMCS) in shaping public discourse and political outcomes, with a specific focus on the 2025 German electoral campaign. By integrating insights from sociocybernetics, neurobiology, and anthropology, this study offers a multidisciplinary analysis of how AIMCS have evolved from passive conduits of information into active agents of governance. The article investigates how advanced generative models and engagement-driven algorithms restructure political communication by embedding hegemonic power structures into dig
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Ibrahim, Riza Andrian, and Nestia Lianingsih. "Digital Rhetoric and Algorithmic Ethics: A Literature Review of Digital Communication." International Journal of Linguistics, Communication, and Broadcasting 3, no. 2 (2025): 45–49. https://doi.org/10.46336/ijlcb.v3i2.224.

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In the digital age, communication has become increasingly shaped by algorithmic systems that structure interaction, visibility, and persuasion across online platforms. This literature review explores the convergence of digital rhetoric and algorithmic ethics to understand how meaning-making and moral agency are co-constructed in contemporary digital environments. Digital rhetoric, concerned with how persuasion operates in multimodal and interactive contexts, now intersects with algorithmic processes that govern content distribution and user engagement. Simultaneously, the rise of algorithmic e
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Johnson, Deborah G. "ALGORITHMIC ACCOUNTABILITY IN THE MAKING." Social Philosophy and Policy 38, no. 2 (2021): 111–27. http://dx.doi.org/10.1017/s0265052522000073.

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AbstractAlgorithms are now routinely used in decision-making; they are potent components in decisions that affect the lives of individuals and the activities of public and private institutions. Although use of algorithms has many benefits, a number of problems have been identified with their use in certain domains, most notably in domains where safety and fairness are important. Awareness of these problems has generated public discourse calling for algorithmic accountability. However, the current discourse focuses largely on algorithms and their opacity. I argue that this reflects a narrow and
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Ames, Morgan G. "Deconstructing the algorithmic sublime." Big Data & Society 5, no. 1 (2018): 205395171877919. http://dx.doi.org/10.1177/2053951718779194.

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This special theme contextualizes, examines, and ultimately works to dispel the feelings of “sublime”—of awe and terror that overrides rational thought—that much of the contemporary public discourse on algorithms encourages. Employing critical, reflexive, and ethnographic techniques, these authors show that while algorithms can take on a multiplicity of different cultural meanings, they ultimately remain closely connected to the people who define and deploy them, and the institutions and power relations in which they are embedded. Building on a conversation we began at the Algorithms in Cultur
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Draude, Claude, Goda Klumbyte, Phillip Lücking, and Pat Treusch. "Situated algorithms: a sociotechnical systemic approach to bias." Online Information Review 44, no. 2 (2019): 325–42. http://dx.doi.org/10.1108/oir-10-2018-0332.

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Purpose The purpose of this paper is to propose that in order to tackle the question of bias in algorithms, a systemic, sociotechnical and holistic perspective is needed. With reference to the term “algorithmic culture,” the interconnectedness and mutual shaping of society and technology are postulated. A sociotechnical approach requires translational work between and across disciplines. This conceptual paper undertakes such translational work. It exemplifies how gender and diversity studies, by bringing in expertise on addressing bias and structural inequalities, provide a crucial source for
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Barnes, Naomi, and Samuel Hames. "Centralising Qualitative Research in Big Data Methods Through Algorithmic Ethnography." Journal of Digital Social Research 5, no. 1 (2023): 90–108. http://dx.doi.org/10.33621/jdsr.v5i1.129.

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Responding to the challenge for qualitative researchers to claim a central place in conversations about big data, analytics, datafication, data mining and the role of algorithms, this article describes a mixed-method research partnership focused on algorithmic ethnography. In the debates about the opacity of online algorithms, qualitative researchers typically advocate for access to code. This standard discourse centralises the technical aspects of big data and networked ethnographies. Instead, this article outlines a research methodology that analyses algorithmic discourses by working alongsi
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Țenea, Anca. "Algorithmically Mediated Nostalgia through Recordings of Post-Communist Parties on TikTok and Instagram." Romanian Journal of Communication and Public Relations 25, no. 2 (2023): 49–65. http://dx.doi.org/10.21018/rjcpr.2023.2.400.

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Among numerous capabilities, social media platforms have also enabled users to remix and repurpose analog videos through their features. This remediated media is further propelled by the platforms’ algorithmic systems, thus enhancing their visibility among users who, as affective publics, can interact with it and further remediate it. This paper discusses how the nostalgic discourse takes shape on Instagram and TikTok around remediated analog videos of parties and celebrations during the 1990s in Romania and how the platform affordances and the algorithmic imaginary of the affective publics in
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Knott, Alistair. "An Algorithmic Framework for Specifying the Semantics of Discourse Relations." Computational Intelligence 16, no. 4 (2000): 501–10. http://dx.doi.org/10.1111/0824-7935.00123.

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Dissertations / Theses on the topic "Algorithmic discourse"

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Sinha, Ravi Som Mihalcea Rada F. "Graph-based centrality algorithms for unsupervised word sense disambiguation." [Denton, Tex.] : University of North Texas, 2008. http://digital.library.unt.edu/permalink/meta-dc-9736.

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Wood, Derrin W. "A Discourse concerning certain stochastic optimization algorhitms and their application to the imaging of cataclysmic variable stars." Pretoria : [s.n.], 2004. http://upetd.up.ac.za/thesis/available/etd-07272005-133840.

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Pfeil, Jonathan W. "Algorithms and Resources for Scalable Natural Language Generation." Case Western Reserve University School of Graduate Studies / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=case1465469914.

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Sinha, Ravi Som. "Graph-based Centrality Algorithms for Unsupervised Word Sense Disambiguation." Thesis, University of North Texas, 2008. https://digital.library.unt.edu/ark:/67531/metadc9736/.

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This thesis introduces an innovative methodology of combining some traditional dictionary based approaches to word sense disambiguation (semantic similarity measures and overlap of word glosses, both based on WordNet) with some graph-based centrality methods, namely the degree of the vertices, Pagerank, closeness, and betweenness. The approach is completely unsupervised, and is based on creating graphs for the words to be disambiguated. We experiment with several possible combinations of the semantic similarity measures as the first stage in our experiments. The next stage attempts to score in
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Auguste, Jérémy. "Analyse du discours conversationnel dans le cadre de communications médiées par ordinateur." Electronic Thesis or Diss., Aix-Marseille, 2020. http://www.theses.fr/2020AIXM0228.

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Les dialogues ont une place importante dans la société et celle-ci s’accroît au fur et à mesure que la technologie progresse. Il existe de plus en plus d'outils pour dialoguer à distance permettant la collecte d'une masse importante de données, utilisables pour réaliser différentes analyses et divers systèmes automatiques.L'analyse du discours conversationnel est une réponse partielle pour comprendre certains aspects de la production du langage dans les dialogues. Une telle analyse permet de caractériser les interactions entre les messages d'un dialogue et ainsi faire ressortir les différents
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Fraga, Netto Juliana Regina. "Rôle des signaux faibles dans la prise de forme des discours : étude du réseau social X (ex-Twitter)." Electronic Thesis or Diss., Bourgogne Franche-Comté, 2024. http://www.theses.fr/2024UBFCH019.

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La présente recherche développe, à travers la plateforme numérique COCKTAIL, une analyse de la circulation des discours sur X (ex-Twitter) afin de détecter les tendances et les signaux faibles. La thèse s'appuie sur une méthode pluridisciplinaire, utilisant des algorithmes, pour construire un corpus de tweets. Le but des analyses quantitatives et qualitatives est de savoir comment les signaux faibles peuvent être identifiés dans la circulation des discours sur X. D’un point de vue théorique, le travail repose sur la question de la construction du sens et de savoir comment les signaux faibles é
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Faruque, Md Ehsanul. "A Minimally Supervised Word Sense Disambiguation Algorithm Using Syntactic Dependencies and Semantic Generalizations." Thesis, University of North Texas, 2005. https://digital.library.unt.edu/ark:/67531/metadc4969/.

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Natural language is inherently ambiguous. For example, the word "bank" can mean a financial institution or a river shore. Finding the correct meaning of a word in a particular context is a task known as word sense disambiguation (WSD), which is essential for many natural language processing applications such as machine translation, information retrieval, and others. While most current WSD methods try to disambiguate a small number of words for which enough annotated examples are available, the method proposed in this thesis attempts to address all words in unrestricted text. The method is bas
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Miranda, Carranza Pablo. "Program Matters : From Drawing to Code." Doctoral thesis, KTH, Stadsbyggnad, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-218462.

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Whether on paper, on site or mediating between both, means for reading and writing geometry have been central to architecture: the use of compasses and rulers, strings, pins, stakes or plumb-lines enabled the analysis and reproduction of congruent figures on different surfaces since antiquity, and from the renaissance onwards, the consistent planar representation of three-dimensional shapes by means of projective geometry. Tacitly through practice, or explicitly encoded in classical geometry, the operational syntaxes of drawing instruments, real or imaginary, have determined the geometric lite
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Schwab, Didier. "Approche hybride - lexicale et thématique - pour la modélisation, la détection et l'exploitation des fonctions lexicales en vue de l'analyse sémantique de texte." Phd thesis, Université Montpellier II - Sciences et Techniques du Languedoc, 2005. http://tel.archives-ouvertes.fr/tel-00333334.

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Utilisée à la fois pour l'apprentissage et l'exploitation des vecteurs conceptuels, l'analyse sémantique de texte est centrale à nos recherches. L'amélioration qualitative du processus d'analyse entraîne celle des vecteurs. En retour, cette meilleure pertinence a un effet positif sur l'analyse. Parmi les différentes voies à explorer pour obtenir ce cercle vertueux, l'une des pistes les plus intéressantes semble être la découverte puis l'exploitation des relations lexicales entre les mots du texte. Ces relations, parmi lesquelles la synonymie, l'antonymie, l'hyperonymie, la bonification ou l'in
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Alshaer, Mohammad. "An Efficient Framework for Processing and Analyzing Unstructured Text to Discover Delivery Delay and Optimization of Route Planning in Realtime." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSE1105/document.

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L'Internet des objets, ou IdO (en anglais Internet of Things, ou IoT) conduit à un changement de paradigme du secteur de la logistique. L'avènement de l'IoT a modifié l'écosystème de la gestion des services logistiques. Les fournisseurs de services logistiques utilisent aujourd'hui des technologies de capteurs telles que le GPS ou la télémétrie pour collecter des données en temps réel pendant la livraison. La collecte en temps réel des données permet aux fournisseurs de services de suivre et de gérer efficacement leur processus d'expédition. Le principal avantage de la collecte de données en t
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Books on the topic "Algorithmic discourse"

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Quadflieg, Sven, Klaus Neuburg, and Simon Nestler, eds. (Dis)Obedience in Digital Societies. transcript Verlag, 2022. http://dx.doi.org/10.14361/9783839457634.

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Algorithms are not to be regarded as a technical structure but as a social phenomenon - they embed themselves, currently still very subtle, into our political and social system. Algorithms shape human behavior on various levels: they influence not only the aesthetic reception of the world but also the well-being and social interaction of their users. They act and intervene in a political and social context. As algorithms influence individual behavior in these social and political situations, their power should be the subject of critical discourse - or even lead to active disobedience and to th
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Weijters, A. Denotation in discourse: Analysis and algorithm : een wetenschappelijke op het gebied van de wijsbegeerte. The Author?], 1989.

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António, Branco, ed. Anaphora: Analysis, algorithms and applications : 6th Discourse Anaphora and Anaphor Resolution Colloquium, DAARC 2007, Lagos, Portugal, March 29-30, 2007 : selected papers. Springer, 2007.

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Reading machines: Toward an algorithmic criticism. University of Illinois Press, 2011.

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Ramsay, Stephen. Reading Machines: Toward and Algorithmic Criticism. University of Illinois Press, 2011.

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Bucher, Taina. If...Then. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190493028.001.0001.

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IF … THEN provides an account of power and politics in the algorithmic media landscape that pays attention to the multiple realities of algorithms, and how these relate and coexist. The argument is made that algorithms do not merely have power and politics; they help to produce certain forms of acting and knowing in the world. In processing, classifying, sorting, and ranking data, algorithms are political in that they help to make the world appear in certain ways rather than others. Analyzing Facebook’s news feed, social media user’s everyday encounters with algorithmic systems, and the discou
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Ahn, Sungyong. Internet-ontologies-Things. Bloomsbury Publishing Inc, 2023. http://dx.doi.org/10.5040/9781501399275.

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This book argues how power mobilizes various algorithmic and ontological objects—from a smartwatch to a smart building—to identify a greater number of hidden problems within the physical domains of the IoT, from the wearer’s body to her smart city. The Internet of Things is the vast system of devices, objects, non-human animals, and people that collect and transfer data via a wireless network that does not require human interaction. It is now common in software studies to think of algorithmic objects, like the ‘things’ in the Internet of Things, as ontological agents as much as we humans are.
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Schneider, Florian. The User-Generated Nation. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190876791.003.0007.

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Chapter 7 turns to user-generated content, social media, and ‘Web 2.0’ technologies in digital China’s message boards and comment sections. The cases of the Nanjing Massacre and the Diaoyu Islands then show that online commentaries often provide a nuanced picture of how to make sense of Sino-Japanese relations, and yet the overarching discursive patterns combine with digital mechanisms such as ‘likes’ and algorithmic popularity rankings to push the discussion into nationalist media scripts. In contrast, China’s microblogging spheres at first sight offer a different story: discussions on Weibo
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Steele, Catherine Knight. Digital Black Feminism. NYU Press, 2021. http://dx.doi.org/10.18574/nyu/9781479808373.001.0001.

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Black women are at the forefront of some of this century’s most important discussions about technology: trolling, online harassment, algorithmic bias, and influencer culture. But Black women’s relationship with technology began long before the advent of Twitter or Instagram. To truly “listen to Black women,”Steele points to the history of Black feminist technoculture in the U.S. to decenter white supremacy and patriarchy in the future of technology. Using the virtual beauty shop as a metaphor, Digital Black Feminism walks readers through the technical skill, communicative expertise, and entrep
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Rambukkana, Nathan, ed. Intersectional Automations. The Rowman & Littlefield Publishing Group, 2021. https://doi.org/10.5040/9781666995596.

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Intersectional Automations explores a range of situations where robotics, biotechnological enhancement, artificial intelligence (AI), and algorithmic culture collide with intersectional social justice issues such as race, class, gender, sexuality, ability, and citizenship. As robots, machine learning applications, and human augmentics are artifacts of human culture, they sometimes carry stereotypes, biases, exclusions, and other forms of privilege into their computational logics, platforms, and/or embodiments. The essays in this multidisciplinary collection consider how questions of equity and
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Book chapters on the topic "Algorithmic discourse"

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Sinatora, Francesco L. "Social media soft affective politics through discursive and algorithmic synchronization." In Discourse Approaches to Politics, Society and Culture. John Benjamins Publishing Company, 2023. http://dx.doi.org/10.1075/dapsac.100.04sin.

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This chapter explores the link between language, social media, and affective politics through the case study of a YouTube commercial by the Kuwaiti telecommunication company Zain. The video, which exhorts Muslims to reject Islamic terrorism and embrace a moderate version of Islam through a hybrid, emotional mixture of language, music, and images of victims of terrorism, generated a large response among Arab and international audiences, who aligned with its progressive message. Drawing on the notion of “synchronization” (Al Zidjaly 2012; Blommaert 2005), I argue that the commercial constitutes
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Vincze, Laura. "Gesture and Gaze in Persuasive Political Discourse." In Multimodal Signals: Cognitive and Algorithmic Issues. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00525-1_18.

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Kuncoro, Hestutomo Restu, Khuswatun Hasanah, Dyah Lupita Sari, and Erna Kurniawati. "Algorithmic Influence: Twitter’s Role in Shaping Public Discourse and Amplifying Radical Content." In Proceedings of the 2nd International Conference on Advanced Research in Social and Economic Science (ICARSE). Atlantis Press SARL, 2024. http://dx.doi.org/10.2991/978-2-38476-247-7_55.

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Prem, Erich. "Our Digital Mirror." In Perspectives on Digital Humanism. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86144-5_13.

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AbstractThe digital world has a strong tendency to let everything in its realm appear as resources. This includes digital public discourse and its main creators, humans. In the digital realm, humans constitute the economic end and at the same time provide the means to fulfill that end. A good example is the case of online public discourse. It exemplifies a range of challenges from user abuse to amassment of power, difficulties in regulation, and algorithmic decision-making. At its root lies the untamed perception of humans as economic and information resources. In this way, digital technology
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Mureddu, Francesco, Alessandro Paciaroni, Tomáš Pavelka, Annabel Pemberton, and Luca Alessandro Remotti. "Rights and Responsibilities: Legal and Ethical Considerations in Adopting Local Digital Twin Technology." In Decide Better. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-81451-8_11.

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Abstract As Local Digital Twin (LDT) technology becomes increasingly complex and integrated with disruptive technologies, like Artificial Intelligence (AI) and Machine Learning (ML), new ethical, legal and transparency challenges arise. Particular concerns centre around personal information protection, data usage, and the ethics of algorithmic decision-making. This paper explores these challenges, including both personal and non-personal data governance, future regulatory impact, and the implications of new and proposed legislation, including e-privacy, the Digital Markets Act, and the AI Act.
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Louwerse, Max M., and Patrick Jeuniaux. "A computational psycholinguistic algorithm to measure cohesion in discourse." In Discourse, of Course. John Benjamins Publishing Company, 2009. http://dx.doi.org/10.1075/z.148.21lou.

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Andersen, Jack. "Digital Discourse Networks: Digital Media as a Socio-material Condition for Access and Circulation." In Nordic Perspectives on the Discourse of Things. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-33122-0_4.

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AbstractThe purpose of this chapter is to argue that digital media act as a socio-material condition for access to, and the circulation of, sakprosa in modern digital culture. I adapt the German media theorist Friedrich Kittler’s notion of a discourse network and examine work on digital archives and algorithms, to demonstrate through two concrete examples, a Danish public authority website and the website of a publishing house, how their digital configuration, in different ways, set up communicative conditions for the circulation of, and access to, sakprosa on the websites. The research implic
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Kim, Eunsong. "The Politics of Visibility." In Disrupting the Digital Humanities. punctum books, 2018. https://doi.org/10.21983/p3.0230.1.20.

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Every time CNN points to “Trending” in order to discuss break-ing news, we should laugh. That is, laugh at: CNN, journalists, experts, the simulacra. Smirking at the notion that privatized, opaque institutions of selective coverage are working with other privatized, opaque institutions of selective timelines to define what’s public, what’s universal, what’s important. Intel-lectual, digital, and digitized labor is important, and too often dismissed.3 This interrogation of visibility coverage and trend-ing isn’t a critique of online activism and discourse. Rather, I want to examine the politica
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Shcheglova, Tamara, Galina Gradoselskaya, and Ilia Karpov. "Methodology for Measuring Polarization of Political Discourse: Case of Comparing Oppositional and Patriotic Discourse in Online Social Networks." In Network Algorithms, Data Mining, and Applications. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37157-9_15.

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Li, Yixuan, Julian Parsert, and Elizabeth Polgreen. "Guiding Enumerative Program Synthesis with Large Language Models." In Computer Aided Verification. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-65630-9_15.

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AbstractPre-trained Large Language Models (LLMs) are beginning to dominate the discourse around automatic code generation with natural language specifications. In contrast, the best-performing synthesizers in the domain of formal synthesis with precise logical specifications are still based on enumerative algorithms. In this paper, we evaluate the abilities of LLMs to solve formal synthesis benchmarks by carefully crafting a library of prompts for the domain. When one-shot synthesis fails, we propose a novel enumerative synthesis algorithm, which integrates calls to an LLM into a weighted prob
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Conference papers on the topic "Algorithmic discourse"

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Men, Fangyu. "Visual and Language Information Fusion Algorithm in Multimodal Discourse Analysis." In 2024 International Conference on Power, Electrical Engineering, Electronics and Control (PEEEC). IEEE, 2024. https://doi.org/10.1109/peeec63877.2024.00101.

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Jiang, Xikun, He Lyu, Chenhao Ying, Yibin Xu, Boris Düdder, and Yuan Luo. "Privacy-Preserving UCB Decision Process Verification via zk-SNARKs." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/652.

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With the increasingly widespread application of machine learning, how to strike a balance between protecting the privacy of data and algorithm parameters and ensuring the verifiability of machine learning has always been a challenge. This study explores the intersection of reinforcement learning and data privacy, specifically addressing the Multi-Armed Bandit (MAB) problem with the Upper Confidence Bound (UCB) algorithm. We introduce zkUCB, an innovative algorithm that employs the Zero-Knowledge Succinct Non-Interactive Argument of Knowledge (zk-SNARKs) to enhance UCB. zkUCB is carefully desig
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Fadhil, Heba. "Metaheuristic Algorithms in Optimization and its Application: A Review." In The 3rd International Conference On Engineering And Innovative Technology. Salahaddin University-Erbil, 2025. https://doi.org/10.31972/iceit2024.013.

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Metaheuristic algorithms are an intelligent way of thinking and working developed for resolving diverse issues about optimization. The number of potential solutions for such problems often is too large to be properly analyzed using standard procedures; thus, these algorithms are highly flexible and can be useful in many cases where needed to predict different types of optimizations accurately. Metaheuristics take inspiration from several natural processes like evolution or animal behavior, which allow them to show strength without being specific only towards one area. Some Metaheuristics algor
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Vardouli, Theodora, and François Sabourin. "Performing Form: Judgement and Subjectivity in Algorithmic Architectural Design." In 2019 ACSA Teachers Conference. ACSA Press, 2019. http://dx.doi.org/10.35483/acsa.teach.2019.26.

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It is an oft-made claim that digital computers are changing architectural discourse and professional practice. These changes are plural, varied, and often prosaic. They do not fit one definition of “digital architecture”, nor one manifesto of “digital revolution.” While historians, theorists, and ethnographers of architectural practice are beginning to map the disciplinary valencies and professional effects of digital computers, architectural curricula grapple with questions about when, where, how, and why to introduce computers in an architecture student’s education.1 Professionally accredite
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Walker, Marilyn A. "Evaluating discourse processing algorithms." In the 27th annual meeting. Association for Computational Linguistics, 1989. http://dx.doi.org/10.3115/981623.981654.

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Hitzeman, Janet, Marc Moens, and Claire Grover. "Algorithms for analysing the temporal structure of discourse." In the seventh conference. Association for Computational Linguistics, 1995. http://dx.doi.org/10.3115/976973.977009.

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Lochbaum, Karen E. "An algorithm for plan recognition in collaborative discourse." In the 29th annual meeting. Association for Computational Linguistics, 1991. http://dx.doi.org/10.3115/981344.981349.

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Kehler, Andrew. "A discourse copying algorithm for ellipsis and anaphora resolution." In the sixth conference. Association for Computational Linguistics, 1993. http://dx.doi.org/10.3115/976744.976769.

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Beyaert-Geslin, Anne. "L’algorithme et l’organon sémiotique." In Actes du congrès de l’Association Française de Sémiotique. Université de Limoges, 2024. http://dx.doi.org/10.25965/as.8589.

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Même si l’algorithme est omniprésent et semble régler nos vies, ses définitions restent souvent laconiques et plus ou moins métaphoriques. Plus que sa définition, c’est la description de son fonctionnement qui retient généralement l’attention. Il apparaît alors sous les traits d’un actant algorithmique ayant le statut de destinateur social invisible, donc inquiétant. Le mot algorithme appartient depuis longtemps au métalangage de la sémiotique qui, par vocation, concentre son attention sur le fonctionnement des discours, plus exactement sur la relation entre les termes, leur mode d’agencement,
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Wu, Sonic. "Leveraging Generative AI for Expanding Strategic Thinking: An Integrative Framework for Scenario Analysis, Strategy Formulation, and Collaboration." In Human Interaction and Emerging Technologies (IHIET 2025). AHFE International, 2025. https://doi.org/10.54941/ahfe1006748.

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Generative artificial intelligence presents a novel approach to expanding managerial strategic thinking by integrating scenario-based analysis with algorithmic exploration. The objective of this proposed presentation is to demonstrate how such an approach can help managers address emerging uncertainties, transcend siloed decision-making, and accelerate strategic insights in rapidly changing business environments. The significance lies in moving beyond traditional, historically focused analytical tools and toward a forward-looking perspective that combines human intuition with AI-driven insight
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Reports on the topic "Algorithmic discourse"

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Horrocks, Ian, and Stephan Tobies. Optimisation of Terminological Reasoning. Aachen University of Technology, 1999. http://dx.doi.org/10.25368/2022.99.

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An extended abstract of this report was submitted to the Seventh International Conference on Principles of Knowledge Representation and Reasoning (KR2000). When reasoning in description, modal or temporal logics it is often useful to consider axioms representing universal truths in the domain of discourse. Reasoning with respect to an arbitrary set of axioms is hard, even for relatively inexpressive logics, and it is essential to deal with such axioms in an efficient manner if implemented systems are to be effective in real applications. This is particularly relevant to Description Logics, whe
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