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Journal articles on the topic 'Algorithmic discourse'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

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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Kamensky, Mikhail, and Sergey Bredikhin. "Algorithmic Procedures of Identifying Advertisement Texts in Mass Media Discourse." Vestnik Volgogradskogo gosudarstvennogo universiteta. Serija 2. Jazykoznanije 24, no. 1 (2025): 64–78. https://doi.org/10.15688/jvolsu2.2025.1.6.

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The article presents an algorithm of identifying advertisement blocks in mass media content and determining the type of the given text as either an advertisement or an informative text, which is enabled through automation with the aid of intellectual semantic and syntactic analysis systems. The GATE corpus manager is used as the development environment for the algorithm, and the ANNIE Gazetteer, JAPE Transducer, and Java Regexp Annotator are used as the principal processing resources for the presented algorithm. The use of ANNIE Gazetteer enables the automated identification of the most common

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Vasilyeva, M. L. "ON PARAMETRES OF THE APOLOGY DISCOURSE DESCRIPTION." Bulletin of Udmurt University. Series History and Philology 30, no. 6 (2020): 1037–48. http://dx.doi.org/10.35634/2412-9534-2020-30-6-1037-1048.

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The article concerns the problem of the constitutive features of the communicative situation of apology. The author discusses methodological and linguistic characteristics of inter-personal and public apology described in modern Russian monographs. Critical analysis is given to rationalization of apology in these principal approaches: responsive discourse modeling; speech genre modeling; interactive modeling; complex algorithmic modeling; model speech act representation; contextual perception; linguo-cultural discursive-etiquette manifestation; socio-typological manifestation.

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Mariet Rosnaida Cabrera Cusi and Abdelaziz Berghout. "Anders Breivik’s manifesto: Measuring Violence Indicator in Anti-Islamic Extremist Discourse." Journal of Islam in Asia (E-ISSN 2289-8077) 21, no. 2 (2024): 115–41. https://doi.org/10.31436/jia.v21i2.1255.

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On July 22, 2011, Anders Breivik massacred 75 people in a bomb attack and mass shooting out of his hatred towards Islam and Muslims. His actions shocked Norway and the world. He left behind a manifesto ‘2083, A European Declaration of Independence’ which clearly indicates his imagination about Islam and Muslims and the reasons that led him to commit this mass murder. Breivik is studied extensively in the academia through the lenses of Islamophobia and terrorism; there are few studies done on the levels of violence in anti-Islamic discourse. This study uses Richard A. Nielsen’s methodology whic

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Khan, Muhammad Kamran Ijaz, Sheraz Ahsan Khan, Tanzeel Khan, and Bedar Bakht Khan. "Disconnected Democracies: The Digital Divide and Unequal Access to Political Discourse in Pakistan’s Online Media Ecosystem." Advance Social Science Archive Journal 4, no. 1 (2025): 1345–57. https://doi.org/10.55966/assaj.2025.4.1.079.

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As digital media becomes a central arena for political discourse, assumptions persist that internet access inherently democratizes participation. However, in developing democracies such as Pakistan, deep structural inequalities continue to shape and constrain digital engagement. The research under study examines how the digital divide amongst the infrastructural, socioeconomic, cultural, and algorithmic inequalities constitutesunequal access to the political discourse in the online media environment of Pakistan. Using a mixed-methods approach, including digital ethnography, semi-structured int

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Waterfall, Heidi, and Shimon Edelman. "The neglected universals: Learnability constraints and discourse cues." Behavioral and Brain Sciences 32, no. 5 (2009): 471–72. http://dx.doi.org/10.1017/s0140525x09990756.

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AbstractConverging findings from English, Mandarin, and other languages suggest that observed “universals” may be algorithmic. First, computational principles behind recently developed algorithms that acquire productive constructions from raw texts or transcribed child-directed speech impose family resemblance on learnable languages. Second, child-directed speech is particularly rich in statistical (and social) cues that facilitate learning of certain types of structures.

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Researcher. "ALGORITHMIC IDENTITY AND THE FRAGMENTATION OF CULTURAL CONSENSUS: EXPLORING THE POLITICS OF BELONGING AND SOCIAL COHESION IN AI-MEDIATED SOCIETIES." International Journal of Politics, Culture, and Society (IJPCS) 2, no. 1 (2025): 1–9. https://doi.org/10.5281/zenodo.15608656.

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The rapid integration of artificial intelligence (AI) into digital platforms has reconfigured societal dynamics, influenced not only economic and political systems but also reshaping identities and perceptions of belonging. This paper interrogates how algorithmic governance and AI-driven personalization contribute to the fragmentation of cultural consensus in contemporary societies. It explores how AI mediates social cohesion, often creating algorithmic echo chambers, identity silos, and digital tribalism. Drawing upon prior literature and emerging developments as of this study offers a concep

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Liu, Siming. "Social Psychological Analysis of Online Gender Discourse and Gender Relations." Lecture Notes in Education Psychology and Public Media 109, no. 1 (2025): 17–26. https://doi.org/10.54254/2753-7048/2025.nd25261.

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With the rapid expansion of social media platforms, online gender discourse has become increasingly prominent in shaping contemporary gender relations, particularly in the Chinese digital context, where unique political and commercial constraints create distinctive patterns of feminist expression. This paper, through a method of literature review and case study analysis, explores how social psychological mechanisms interact with technological infrastructures to shape gender discourse production and circulation on Chinese social media platforms. The study examines two cases in particular: the G

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Tsekhmeistruk, Roman. "QUANTIFYING ALGORITHMIC BIAS IN NEWS RECOMMENDATIONS: METHODOLOGIES AND CASE STUDIES." Scientific Journal of Polonia University 66, no. 5 (2024): 251–59. https://doi.org/10.23856/6627.

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This study investigates algorithmic bias in news recommendations, a critical issue in today’s digital media landscape. As recommendation algorithms curate personalized content, they can also perpetuate systematic biases that distort information access and public discourse. The research begins with a literature review, identifying key themes and gaps in understanding algorithmic bias. A robust methodology is developed, incorporating user-centric analyses, content diversity assessments, and fairness evaluations to quantify the impact of bias in news recommendations. Through detailed case studies

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Shin, Donghee (Don), Anestis Fotiadis, and Hongsik Yu. "Prospectus and limitations of algorithmic governance: an ecological evaluation of algorithmic trends." Digital Policy, Regulation and Governance 21, no. 4 (2019): 369–83. http://dx.doi.org/10.1108/dprg-03-2019-0017.

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Purpose The purpose of this study is to offer a roadmap for work on the ethical and societal implications of algorithms and AI. Based on an analysis of the social, technical and regulatory challenges posed by algorithmic systems in Korea, this work conducts socioecological evaluations of the governance of algorithmic transparency and accountability. Design/methodology/approach This paper analyzes algorithm design and development from critical socioecological angles: social, technological, cultural and industrial phenomena that represent the strategic interaction among people, technology and so

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S. Lind, Nancy. "Digital Democracy Vs. Constitutional Frameworks: Social Media's Impact On Democratic Discourse." International Journal of Arts , Humanities & Social Science 06, no. 07 (2025): 10–15. https://doi.org/10.56734/ijahss.v6n7a2.

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The rise of social media platforms has fundamentally challenged traditional constitutional frameworks governing democratic discourse. This article examines how digital technologies, particularly social media, create tensions between established constitutional principles and emerging forms of democratic participation. Through analysis of algorithmic content curation, platform governance structures, and the constitutional implications of private speech regulation, this study reveals a fundamental misalignment between 18th-century constitutional frameworks and 21st-century digital democracy. The

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Dr. Muhammad Yaseen Moroojo, Dr. Usman Farooq, Dr. Muhammad Aftab Madni, Dr. Taha Shabbir, and Hadia Khalil. "Algorithmic Amplification and Political Discourse: The Role of AI in Shaping Public Opinion on Social Media in Pakistan." Critical Review of Social Sciences Studies 3, no. 2 (2025): 2552–70. https://doi.org/10.59075/k8ra0b02.

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This paper investigates the influence of AI-driven algorithmic systems—particularly recommendation engines and content ranking algorithms—on political discourse in Pakistan’s social media landscape. As millions of Pakistanis engage with platforms like Facebook, YouTube, and TikTok for news and political commentary, AI systems play a critical but opaque role in curating the content that users see. Drawing on qualitative interviews, social listening data, and policy analysis, the study examines how algorithmic amplification contributes to echo chambers, political polarization, and misinformation

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CHEN, Lu. "The Copy Writes Back:Digital Art History and the Crisis of Authorship." Advances in Art Science 2, no. 1 (2025): 139–56. https://doi.org/10.48014/aas.20250211001.

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Digitization process,while provoking ontological crises and fueling debates over disciplinary discourses,has simultaneously become a methodological framework and a generative force for reshaping the nature of knowledge production and the writing of history.This paper examines the diverse practices emerging in the digitization of art history,encompassing database migration, computationally assisted analyses,the mobility of texts and discourses,and the algorithmic rewriting and AI generation that increasingly shape scholarly production.As digital processes generate vast amounts of detail while s

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Amaka Peace Onebunne. "Algorithmic bias and media manipulation: A systematic review of AI’s Role in shaping public perception and political discourse." World Journal of Advanced Research and Reviews 16, no. 3 (2022): 1239–49. https://doi.org/10.30574/wjarr.2022.16.3.1332.

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Artificial intelligence's (AI) influence on public opinion and political discourse necessitates immediate attention as it gets more and more integrated into media infrastructures. This systematic review synthesizes findings from 25 peer-reviewed papers published between 2015 and 2022 to investigate the relationship between algorithmic bias, media manipulation, and public trust. Guided by the PRISMA 2020 framework, the review examines how AI-driven systems impact content curation, magnify false information, and mediate political communication. Five themes emerge from the analysis: political man

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Pan, Xin. "Discourse Analysis of Social Media Discourse: Construction and Deconstruction of Social Reality." SHS Web of Conferences 200 (2024): 02001. http://dx.doi.org/10.1051/shsconf/202420002001.

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With social media’s rise and widespread application, social science research has entered a new era, bringing new challenges and opportunities to the academic community on how to use social media data for high-quality social reality construction and deconstruction research. Based on the dynamic evolution of social media development, this study constructs a theoretical framework for social media discourse analysis, aiming to explain the social reality construction and development mechanism jointly generated by user- generated content (UGC) and algorithmic recommendation systems in terms of disco

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Blommaert, Jan. "POLITICAL DISCOURSE IN POST-DIGITAL SOCIETIES." Trabalhos em Linguística Aplicada 59, no. 1 (2020): 390–403. http://dx.doi.org/10.1590/01031813684701620200408.

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ABSTRACT In his contribution to the Special Issue “Digital and semiotic mechanisms of contemporary populisms”, Jan Blommaert offers a communicability model which accounts for political discourse (and others) in the post-digital era we live. He starts by arguing that the idea of the public (a homogeneous entity) that was very popular in the 20th century sociological imagination of how propaganda worked in “manufacturing consent” can no longer be used to explain the fragmented audiences of our post-digital era. The author illuminates his argument by resorting to the circulation of political twee

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Zhu, Yizhen. "The Influence of Information Cocoon Effect on the Spread of Feminism: Taking Douyin as an Example." Lecture Notes in Education Psychology and Public Media 83, no. 1 (2025): 52–58. https://doi.org/10.54254/2753-7048/2024.20616.

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The rapid expansion of social media platforms has provided new avenues for feminist discourse, enabling broader public engagement and visibility. However, algorithm-driven environments like Douyin (Chinese TikTok) introduce the information cocoon effect, which reinforces user biases by tailoring content to their preferences. This study investigates how these algorithmic constraints impact the dissemination of feminist content, shaping public perception and influencing the strategies of feminist creators. Using literature review and case study methods, the paper examines the effects of Douyin's

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Garaschuk, Dmytro, and Vyacheslav Serhieiev. "Security challenges of populism in the digital age: from political hyperreality to involuntary political consumption." Society and Security, no. 1(7) (February 28, 2025): 17–25. https://doi.org/10.26642/sas-2025-1(7)-17-25.

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The article examines the impact of digital technologies on populism and identifies the key mechanisms of its functioning in the digital environment. It explores the transformation of traditional political communication models under the influence of social media, algorithmic content distribution, and changes in citizens’ political perceptions. It is established that digital populism is based on amplified binary oppositions, discourse simplification, the gamification of political interaction, and algorithmic amplification of manipulative narratives, creating a favorable environment for its expan

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González Galán, Fernando. "Impactos de las innovaciones democráticas digitales en los partidos políticos: los miedos de incomunicación a través del <i>marketing</i> electoral digitalizado." Colombia Internacional, no. 123 (July 1, 2025): 31–59. https://doi.org/10.7440/colombiaint123.2025.02.

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Objective/context: This study examines the impacts of digital democratic innovations on political parties, with particular focus on communication breakdown fears generated by electoral marketing digitalization. Within a landscape where information technologies fundamentally reshape relationships between parties, citizens, and the public sphere, emerging risks are identified including disinformation, political discourse fragmentation, and narrative control erosion. Methodology: A qualitative methodology is employed, grounded in literature review and conceptual analysis of key categories such as

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Onebunne, Amaka. "Algorithmic Gaze and the Feedback Loop of Othering: The Case for Africa." International Journal of International Relations, Media and Mass Communication Studies 10, no. 4 (2024): 26–42. https://doi.org/10.37745/ijirmmcs.15/vol10n42642.

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Several studies have examined the concept of algorithmic gaze in the ways that algorithms are trained to ‘see’ the ‘other’ particularly nonwestern countries and demonstrating how these views projected by algorithms usually have roots in historical biases and colonial narratives. However, few research has discussed beyond this unidirectional gaze of algorithms, particularly in the African context. In extending the historical contexts of colonialism and neo-colonialism in algorithms, This study brings to the fore how TikTok’s algorithmic behavior in content portrayal, and user engagement pattern

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Alavi, Setareh, Pooja Iyer, and Laura F. Bright. "Advertisement avoidance and algorithmic media: The role of social media fatigue, algorithmic literacy and privacy concerns." Journal of Digital & Social Media Marketing 12, no. 3 (2024): 276. https://doi.org/10.69554/kwtx2523.

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This paper investigates the intricate dynamics of advertising avoidance within social media platforms, emphasising the roles of social media fatigue, privacy concerns and algorithmic media content awareness. With the pervasive influence of algorithms in curating user experiences, this research explores how these technological underpinnings, alongside users’ privacy apprehensions and the exhaustion from continuous media consumption, contribute to the growing tendency to bypass advertisements. Through a comprehensive review of literature and empirical analysis, the paper delineates the nuanced i

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Bucher, Taina. "The right-time web: Theorizing the kairologic of algorithmic media." New Media & Society 22, no. 9 (2020): 1699–714. http://dx.doi.org/10.1177/1461444820913560.

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Facebook’s goal for their “News Feed is to show everyone the right content at the right time so they don’t miss the stories that are important to them.” In a mediated environment obsessed with real-time–of near instantaneous content production and delivery–the question of what constitutes right-time has curiously been overlooked. In this article, I argue that the notion of right-time presented in the above mission statement is reflective not just of Facebook’s algorithmic workings but also of a new temporal regime produced by an increasingly algorithmic media landscape. The article draws on so

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Gombar, Marija. "Algorithmic Manipulation and Information Science: Media Theories and Cognitive Warfare in Strategic Communication." European Journal of Communication and Media Studies 4, no. 2 (2025): 1–11. https://doi.org/10.24018/ejmedia.2025.4.2.41.

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This study examines the evolution of media theories within military communication, focusing on the interplay between traditional frameworks such as propaganda and framing theory and modern advancements like algorithmic manipulation and cognitive warfare. Through qualitative and comparative analyses, the research investigates how these theories have shaped public perception and strategic narratives during key military conflicts in Croatia and Europe over the past three decades. Leveraging advanced methodological tools, including Gephi and MAXQDA, the study visualizes the dynamics of information

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Elmimouni, Houda, Sarah Rüller, Konstantin Aal, et al. "Exploring Algorithmic Resistance: Responses to Social Media Censorship in Activism." Proceedings of the ACM on Human-Computer Interaction 9, no. 2 (2025): 1–24. https://doi.org/10.1145/3710970.

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Social media platforms have become a double-edged sword for human rights activism, simultaneously offering a stage and facilitating wide-reaching communication and connection, while also imposing censorship through stringent and opaque content governance. This study focuses on the over enforcement of content moderation on social media platforms, affecting activists who tried to engage online publics with issues of forced evictions and displacements in Sheikh Jarrah (SJ) and Silwan, in occupied East Jerusalem in May 2021 --- a critical juncture in the Palestinian-Israeli conflict. By analyzing

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Obed Boateng and Bright Boateng. "Algorithmic bias in educational systems: Examining the impact of AI-driven decision making in modern education." World Journal of Advanced Research and Reviews 25, no. 1 (2025): 2012–17. https://doi.org/10.30574/wjarr.2025.25.1.0253.

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The increasing integration of artificial intelligence and algorithmic systems in educational settings has raised critical concerns about their impact on educational equity. This paper examines the manifestation and implications of algorithmic bias across various educational domains, including admissions processes, assessment systems, and learning management platforms. Through analysis of current research and studies, we investigate how these biases can perpetuate or exacerbate existing educational disparities, particularly affecting students from marginalized communities. The study reveals tha

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Ivanov, Dmitry. "Digitalization and Critical Theory of Society." Sotsiologicheskie issledovaniya, no. 6 (2023): 16–28. http://dx.doi.org/10.31857/s013216250024389-0.

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The article is presenting а critical analysis of the digitalization discourse which is reflecting not social innovations but managerial and bureaucratic appropriation of virtualization routine practices. Empirical data collected in the authors’ research show digital technologies usage turning into social routine in the Russian largest cities Moscow and St. Petersburg. For a full revealing contradictions and true direction of digitalization, development of critical theory of society is proposed as continuation of the dialectical line of the Frankfurt School neo-Marxism evolution. The totality o

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Madsen, Dag Øivind, and Kåre Slåtten. "Viral Leadership: Algorithmic Amplification and the Rise of Leadership Fashions." Administrative Sciences 15, no. 6 (2025): 202. https://doi.org/10.3390/admsci15060202.

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This essay examines how AI-driven content curation reshapes leadership fashions through algorithmic amplification on social media platforms. Algorithms designed to maximize engagement selectively elevate certain leadership styles, such as authentic, servant, and transformational leadership, while marginalizing others, including transactional or directive approaches. Drawing on leadership fashion theory, an extension of management fashion theory, this essay analyzes how viral content, influencer dynamics, and algorithmic prioritization collectively construct contemporary leadership ideals. It h

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Kim, Dr Jae-Won, and Dr Sung-Ho Lee. "NAVIGATING ALGORITHMIC EQUITY: UNCOVERING DIVERSITY AND INCLUSION INCIDENTS IN ARTIFICIAL INTELLIGENCE." International Journal of Advanced Artificial Intelligence Research 02, no. 07 (2025): 1–8. https://doi.org/10.55640/ijaair-v02i07-01.

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As artificial intelligence (AI) systems increasingly shape decision-making in critical domains—ranging from healthcare to criminal justice—their societal impact demands careful scrutiny. Despite advancements in algorithmic performance, growing evidence points to systemic issues of bias, exclusion, and inequity embedded within AI models and datasets. This paper offers a comprehensive investigation into documented incidents where AI systems have adversely affected marginalized populations due to a lack of diversity and inclusion considerations. We explore the underlying causes, including biased

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Becker, Maria, Michael Bender, and Marcus Müller. "Classifying heuristic textual practices in academic discourse." International Journal of Corpus Linguistics 25, no. 4 (2020): 426–60. http://dx.doi.org/10.1075/ijcl.19097.bec.

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Abstract In this paper, we investigate how deep learning techniques can be applied to discourse pragmatics. As a testcase we analyse heuristic textual practices, defined as linguistic implementations of decision routines in research processes in academic discourse. We develop a complex annotation scheme of pragmalinguistic categories on different levels of granularity and manually annotate a corpus of texts across various scientific disciplines. This is the basis for training recurrent neural networks to classify heuristic textual practices. Our experiments show that the annotation categories

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BARRETO, Matheus Silva, Regina BARACUHY, Rafaela Cláudia dos SANTOS, Luzineide Vieira de SOUSA, and Liliane Luz ALVES. "ALGOSPEAK IN THE DISCURSIVE ORDER OF INSTAGRAM: THE SUBVERSION OF THE ALGORITHM." Boletim de Conjuntura (BOCA) 21, no. 62 (2025): 187–204. https://doi.org/10.5281/zenodo.14941940.

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The study's theme presents the influence of algorithms in regulating discourses by subjects within the digital space of Instagram, focusing on the Algospeak language, a discursive strategy used to bypass algorithmic monitoring mechanisms. The objective of this investigation is to analyze how this language points to the functioning of algorithms and their ability to establish a new discursive order on Instagram, conditioning users' discursive practices. The research adopts a qualitative and descriptive-interpretative approach, anchored in Foucauldian Discourse Studies. The archaeogenealogical m

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Hasibuan, Effiati Juliana, Alifiansyah Deto Rahmana Putra, and Annisagita Sungga Dirgantari. "The Role of Social Media Algorithms in Shaping Public Opinion During Political Campaigns." International Journal of Social and Human 1, no. 2 (2024): 165–72. https://doi.org/10.59613/z2sbvw50.

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This study examines the role of social media algorithms in shaping public opinion during political campaigns through a qualitative, literature review-based approach. Utilizing library research, the study analyzes existing academic and policy-oriented literature to explore how algorithms on platforms like Facebook, Twitter, and YouTube influence users' political views and engagement. The research highlights how these algorithms prioritize content based on user behavior, often creating echo chambers and filter bubbles that reinforce pre-existing beliefs. It also addresses the phenomenon of algor

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Chand, Prakash Bahadur, and Keshab Raj Awasthi. "Facebook's Influence on Nepali Political Dynamics: Survey of Tribhuvan University Political Science Students in Nepal." Quest Journal of Management and Social Sciences 7, no. 1 (2025): 155–66. https://doi.org/10.3126/qjmss.v7i1.82023.

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Background: The growing influence of social media, particularly Facebook, on political awareness, engagement, and discourse among Nepali youth necessitates an examination of its impact. As political science students are key stakeholders in shaping future political narratives, understanding Facebook's role in their political behaviour is critical. Objectives: This study investigates how Facebook influences political views and activities among Political Science students at Tribhuvan University, focusing on algorithmic bias, micro-targeting, and political advertising. It also assesses the implica

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Robertua, Verdinand. "PLATFORM-AFFORDED TRANSNATIONAL ADVOCACY: YOUTH AND NARRATIVE STRATEGY OF THE #STOPWILLOW CAMPAIGN." Sociae Polites 26, no. 1 (2025): 41–65. https://doi.org/10.33541/sp.v26i1.6929.

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This study introduces and empirically grounds the concept of Platform-Afforded Transnational Advocacy (PATA) to explain how youth activists operationalize strategic narratives across digital platforms to influence transnational environmental discourse. Focusing on the #StopWillow campaign—a youth-led digital resistance to the Willow oil drilling project in Alaska—this research analyzes 11,499 public comments and platform content from six prominent climate influencers on TikTok and Twitter/X. Departing from traditional Transnational Advocacy Network (TAN) models, the study reinterprets the four

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Gomathi, R., Balaji V, Sanjay R. Pawar, Ayesha Siddiqua, M. Dhanalakshmi, and Ravi Rastogi. "Ensuring ethical integrity and bias reduction in machine learning models." Scientific Temper 15, no. 01 (2024): 1799–805. http://dx.doi.org/10.58414/scientifictemper.2024.15.1.31.

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This research focused on the multifaceted realm of machine learning algorithms, focusing on the pivotal themes of ethical concerns and bias mitigation (Zeba G. et al., 2021). Employing a dual-pronged research methodology, the study first evaluates algorithmic performance across diverse tasks, such as audio transcription, content moderation, and system implementation. The research uses quantitative assessments and visual comparisons to highlight nuanced improvements in algorithmic efficiency and accuracy. The second dimension involves an in-depth analysis of demographic contributions in tasks l

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Hakim, Chairunisa S., and Julian Aldrin Pasha Rajid. "From Classical Capitalism to Algorithmic Domination: The Rise of the Influence Industry." JIIP - Jurnal Ilmiah Ilmu Pendidikan 8, no. 4 (2025): 4317–25. https://doi.org/10.54371/jiip.v8i4.7674.

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The emergence of digital capitalism has transformed economic, political, and social structures, shifting power from traditional industries to Big Tech monopolies that dominate global information flows. Unlike classical capitalism, which revolved around physical production and labor exploitation, digital capitalism thrives on data extraction, algorithmic governance, and predictive analytics. This transformation has led to the rise of the influence industry, a system where corporations, political actors, and state entities manipulate public opinion through microtargeted advertising, AI-driven mi

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Buhmann, Alexander, Johannes Paßmann, and Christian Fieseler. "Managing Algorithmic Accountability: Balancing Reputational Concerns, Engagement Strategies, and the Potential of Rational Discourse." Journal of Business Ethics 163, no. 2 (2019): 265–80. http://dx.doi.org/10.1007/s10551-019-04226-4.

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De-Veer, Theodora Pearl, George Akwetey, and Justa Sentre. "Biological and Social Impacts of Implementing Artificial Intelligence-Based Economic Policies: A Discourse Analysis." Ilomata International Journal of Social Science 6, no. 1 (2025): 310–20. https://doi.org/10.61194/ijss.v6i1.1475.

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Introduction/Main Objectives: This manuscript investigates the biological and social ramifications of AI-powered economic policies, aiming to elucidate the multifaceted impacts of artificial intelligence on societal structures and health outcomes. Background Problems: The rapid integration of AI technologies into economic frameworks raises critical ethical concerns, including algorithmic bias and accountability, which can exacerbate existing social inequalities. Additionally, the implications for human-AI interaction in healthcare settings necessitate a deeper understanding of how these techno

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Gray, Breda. "Mobility, Connectivity and Non-Resident Citizenship: Migrant Social Media Campaigns in the Irish Marriage Equality Referendum." Sociology 53, no. 4 (2018): 634–51. http://dx.doi.org/10.1177/0038038518807314.

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The proliferation of migrant social media campaigns calling for a ‘Yes’ vote in the Irish Marriage Equality referendum (May 2015) raises new questions about the conventions of political participation and non-resident citizenship rights. Via a discourse analysis of these campaigns, this article shows how the algorithmic agency of social media combines with the political agency and affective identifications of campaigners to shape the terms of non-resident citizen claims for enfranchisement and sexual citizenship rights. The article argues that despite their novel political tactics, the central

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Nyström, Erik. "Strange Post-human Attractors: Algorithmic improvisation as acousmatic poiēsis." Organised Sound 26, no. 1 (2021): 31–41. http://dx.doi.org/10.1017/s1355771821000030.

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Contemporary thought is moving away from the notion that the human is a clear-cut concept. In particular, non-anthropocentric views are proliferating within the interdisciplinary area of critical post-humanism, with emphasis on non-dualistic views on relations between human and technology. This article shows how such a view can inform electroacoustic and computer music practice, and sees improvisation linked with composition as a fruitful avenue in this. Following a philosophical preparation and a discussion of relevant music discourse, two computer music works created by the author are discus

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Phan, Thao, and Scott Wark. "Racial formations as data formations." Big Data & Society 8, no. 2 (2021): 205395172110463. http://dx.doi.org/10.1177/20539517211046377.

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This commentary uses Paul Gilroy’s controversial claim that new technoscientific processes are instituting an ‘end to race’ as a provocation to discuss the epistemological transformation of race in algorithmic culture. We situate Gilroy’s provocation within the context of an abolitionist agenda against racial-thinking, underscoring the relationship between his post-race polemic and a post-visual discourse. We then discuss the challenges of studying race within regimes of computation, which rely on structures that are, for the most part, opaque; in particular, modes of classification that opera

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Lim, Merlyna. "In Curhat We Unite (and Divide): Scalable Affective Sociality, Algorithmic Politics, and Social Media in Indonesia." Indonesia 119, no. 1 (2025): 39–57. https://doi.org/10.1353/ind.2025.a961926.

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Abstract: This article explores the phenomenon of curhat , a form of emotional communication and expression in Indonesia, and how it has evolved into a critical method of political communication, profoundly shaping social media and political discourse in the country. By examining how curhat transitions from private expressions to public engagements within "scalable affective sociality," the study reveals the fluidity of this practice in shaping personal connections, social dynamics, and political communities. In Indonesia, curhat marks a shift from identity-driven politics to visibilitycentere

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