Academic literature on the topic 'Automated journalism'

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Journal articles on the topic "Automated journalism"

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Tejedor, Santiago, and Pere Vila. "Exo Journalism: A Conceptual Approach to a Hybrid Formula between Journalism and Artificial Intelligence." Journalism and Media 2, no. 4 (2021): 830–40. http://dx.doi.org/10.3390/journalmedia2040048.

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The irruption of artificial intelligence (AI) and automated technology has substantially changed the journalistic profession, transforming the way of capturing, processing, generating, and distributing information; empowering the work of journalists by modifying the routines and knowledge required by information professionals. This study, which conceptualizes the “exo journalism” on the basis of the impact of AI on the journalism industry, is part of a research project of the Observatory for Information Innovation in the Digital Society (OI2). The results, derived from documentary research sup
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Banafi, Wedad. "A review of the role of artificial intelligence in Journalism." Edelweiss Applied Science and Technology 8, no. 6 (2024): 3951–61. http://dx.doi.org/10.55214/25768484.v8i6.2865.

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Artificial intelligence (AI) technologies have revolutionized journalism in the digital era. This study is constructed on a general literature review revealing the role of AI in journalism and emphasizes the following key facets: (i) automated reporting, (ii) automated content creation, (iii) automated transcription and translation, (iv) data mining and analysis, (v) fact-checking and verification, and (vi) content personalization. The role of AI is observed in creating news reports like financial digests, sports outcomes, and weather updates, gearing up the automated content creation, transcr
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Schapals, Aljosha Karim, and Colin Porlezza. "Assistance or Resistance? Evaluating the Intersection of Automated Journalism and Journalistic Role Conceptions." Media and Communication 8, no. 3 (2020): 16–26. http://dx.doi.org/10.17645/mac.v8i3.3054.

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Newsrooms are a social context in which numerous relationships exist and influence news work—be it with other journalists, the audience, and technology. As some of these relations change due to technological innovations, new hybrid contexts—technologies that are interwoven with newsroom values, routines, and socio-cultural experiences—can emerge. One key question is how journalists conceptualise and interact with such technologies, and to what degree they retain (creative) agency in the process. Therefore, this study evaluates the intersection of automated journalism and journalistic role conc
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Lindén, Carl-Gustav. "Algorithms for journalism: The future of news work." Journal of Media Innovations 4, no. 1 (2017): 60–76. http://dx.doi.org/10.5617/jmi.v4i1.2420.

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Software-generated news, sometimes called “robot journalism,” has recently given rise to concerns that the automation of news will make journalists redundant. These arguments follow a deterministic line of thinking. Algorithms choose information for users but are also the construct of social process and practice. The aim of this essay is to explore “the algorithmic turn” (Napoli, 2014) in news production. Based on case studies from three separate news outlets it is found that the impact of automated news is, first, increased efficiency and job satisfaction with automation of monotonous and err
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Besman, Abie, and Nona Evita. "AI in semi-automated journalism: a review of Indonesia's journalistic ethics." Jurnal Studi Komunikasi (Indonesian Journal of Communications Studies) 8, no. 3 (2024): 583–94. https://doi.org/10.25139/jsk.v8i3.7978.

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In the past five years, Artificial Intelligence (AI) has entered Indonesian newsrooms, aligning with the rise of Industry 4.0. This integration is poised to redefine the roles of journalists and media professionals in the future. Semi-automated journalism, a blend of human journalistic practices and AI technology, is being used in newsrooms to create news content. However, it faces challenges such as accuracy, ethics, and concerns about bias. This article uses a comprehensive literature review, covering academic publications and industry reports from the past five years, to examine semi-automa
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Mr., Intikhab Alam Shamsi. "New Challenges and Emerging Prospects in the Era of Artificial Intelligence and Robotic Reporting." International Journal of Trend in Scientific Research and Development 2, no. 6 (2018): 1691–701. https://doi.org/10.5281/zenodo.7273363.

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Today, artificial intelligence (AI) is a crucial component of the modern media ecosystem. As a result, this study aims to (1) describe the status quo of technology and its role in renewing and modernizing journalism, (2) provide insights about the impact of artificial intelligence in changing journalism practice, (3) identify potential implications of artificial intelligence on the future of journalists, and (4) extrapolate ethical and professional challenges that may disrupt the practices of journalism professionals. The conclusion of the study is that artificial intelligence technologies are
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Deuze, Mark, and Laura Glitsos. "What Journalism Feels Like: Considering the Body of the Journalist." Journalism and Media 5, no. 4 (2024): 1851–65. https://doi.org/10.3390/journalmedia5040112.

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All journalists have bodies. This commonsensical fact acquires more currency every day as the work of reporters and editors becomes automated, robotized, and taken over by (generative) artificial intelligence. The embodied nature of news work matters, not in the least because of the personal attachment practitioners have to what journalism is, or should be. However, in the rich history of journalism studies, bodily perspectives are remarkably absent—beyond descriptions of journalists as sociodemographic profiles. In this essay, we explore various theoretical frameworks to bring the body back i
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Zhang, Wei, and José Manuel Pérez Tornero. "Introduction to AI journalism: Framework and ontology of the trans-domain field for integrating AI into journalism." Journal of Applied Journalism & Media Studies 00, no. 00 (2021): 1–21. http://dx.doi.org/10.1386/ajms_00063_1.

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Artificial Intelligence (AI) is being introduced to news routines. There is a need for theoretical framework to instruct the AI-adopting process and better integrate the cross-domain knowledge. This article attempts to explicate the major transformations AI brings to news systems, i.e., automated writing and personalization at scale. In light of the transformations, the tension between AI and human journalists has drawn attention. In order to unravel the accompanied conundrums, we propound a new notion – AI journalism, which is a trans-domain field of various categories, deriving from journali
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Salgado, L. "From the Classroom to the Newsroom: A Critical Route to Introduce AI in Journalism Education." Facts & Frictions: Emerging Debates, Pedagogies and Practices in Contemporary Journalism 2, no. 1 (2022): 80–97. http://dx.doi.org/10.22215/ff/v2.i1.04.

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From a computer vision application to monitor elections transparency in Argentina to automated real-state texts in Norway, and everything in between, Artificial Intelligence-powered tools are changing journalism. Scholars have taken note, and the academic production of AI in journalism has gained considerable ground in the last five years. However, research on how journalism education deals with AI influence in the industry is scarce. Based on a self-training method using available online free courses for journalists and a review of university teaching initiatives, this article proposes key el
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Chandra, Sekhar Veluru. "Harnessing AI for Transformative Journalism: Advancements in Automated Content Creation and Analysis." European Journal of Advances in Engineering and Technology 9, no. 9 (2022): 85–92. https://doi.org/10.5281/zenodo.13325954.

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Artificial Intelligence (AI) is altering journalism in this current age of content creation, analyzing, and spreading the same to audiences. Efficiency, accuracy, and personalization of news content are improved using AI through Natural Language Processing, machine learning, and automation. The effect of AI on journalism regarding automated content creation and analysis has been critically examined through this literature review. The key findings underline the/unraveling root of AI in journalism, from the historical evolution to the applications of content creation and trend analysis. It bring
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Dissertations / Theses on the topic "Automated journalism"

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CARREIRA, KRISHMA ANAÍSA COURA. "NOTÍCIAS AUTOMATIZADAS A evolução que levou o jornalismo a ser feito por não humanos." Universidade Metodista de Sao Paulo, 2017. http://tede.metodista.br/jspui/handle/tede/1671.

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Submitted by Noeme Timbo (noeme.timbo@metodista.br) on 2017-08-18T19:06:44Z No. of bitstreams: 1 Krishma Anaísa Coura Carreira.pdf: 3828780 bytes, checksum: 4730feaf019d2ac2168079c86edd7f9c (MD5)<br>Made available in DSpace on 2017-08-18T19:06:44Z (GMT). No. of bitstreams: 1 Krishma Anaísa Coura Carreira.pdf: 3828780 bytes, checksum: 4730feaf019d2ac2168079c86edd7f9c (MD5) Previous issue date: 2017-04-10<br>Conselho Nacional de Pesquisa e Desenvolvimento Científico e Tecnológico - CNPq<br>This essay is based on the systematization of Ciro Marcondes Filho, which divides Journalism into four ph
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Abdel-Rehim, Ali. "Exploring interactive features in auto-generated articles through article visualization." Thesis, Malmö universitet, Fakulteten för kultur och samhälle (KS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-23668.

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News articles generated by artificial intelligence rather than human reporters are referred to as automated journalism. This thesis explores how to create a trustworthy representation of news articles that mainly are generated by algorithmic decisions. The hypothesis of this thesis takes the background (characteristics of the underlying system design) and the foreground (millennials news consumption behaviour) contexts into consideration in order to provide an optimal approach for trustworthy representation of auto-generated articles. A theory about algorithmic transparency in the news media h
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Holmwood, Lindsay. "An Automated Approach to Fact Checking User-Generated Contentfor Journalists." Thesis, Södertörns högskola, Institutionen för kommunikation, medier och it, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-16588.

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Journalists have exhibited widespread caution in regard to using content generated by citizen journalists because of the threat it poses to traditional news values and their role as gatekeepers. But text, photos and videos provided by citizens who witness breaking news events is one category of user-generated content that journalists are willing to use, which helps supplement their storytelling when fewer resources means journalists cannot personally be there. This willingness does not dampen several of their concerns; journalists require fact checking to be an integral part of any system that
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Thomaz, Edison. "Automatic eating detection in real-world settings with commodity sensing." Diss., Georgia Institute of Technology, 2016. http://hdl.handle.net/1853/54933.

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Motivated by challenges and opportunities in nutritional epidemiology and food journaling, ubiquitous computing researchers have proposed numerous techniques for automated dietary monitoring (ADM) over the years. Although progress has been made, a truly practical system that can automatically recognize what people eat in real-world settings remains elusive. This dissertation addresses the problem of ADM by focusing on practical eating moment detection. Eating detection is a foundational element of ADM since automatically recognizing when a person is eating is required before identifying what a
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Stalpouskaya, Katsiaryna [Verfasser], and Romy [Akademischer Betreuer] Fröhlich. "Automatic extraction of agendas for action from news coverage of violent conflict / Katsiaryna Stalpouskaya ; Betreuer: Romy Fröhlich." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2019. http://d-nb.info/1216417784/34.

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Jahn, Oliver. "Umělá inteligence v žurnalistice a její využití na příkladech tiskových agentur Reuters a AP." Master's thesis, 2019. http://www.nusl.cz/ntk/nusl-398310.

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Cílem této diplomové práce je představení zcela nového způsobu vytváření i distribuování zpráv a obsahu, kdy se do tohoto jinak tradičně "lidského odvětví" začínají v poslední době promítat automatizované a chytré počítačové systémy využívající umělou inteligenci. Hodlám vysvětlit, co tento pojem znamená s ohledem na mediální prostor, představit jeho poměrně krátkou historii a popsat, jak dochází k jeho zavádění v žurnalistické praxi. Jelikož se jedná o stále vyvíjející se část možná budoucí novinářské práce, která je zatím v začátcích, nepracují s ní zatím ve větším tuzemská média, i když pos
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Sýkora, Tomáš. "Využívání umělé inteligence ke generování zpráv v České tiskové kanceláři." Master's thesis, 2021. http://www.nusl.cz/ntk/nusl-448177.

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This diploma thesis deals with the use of artificial intelligence tools and automated journalism in the Czech News Agency. Specifically, it deals with the very first use of algorithmically generated news reports, which the agency published during the election in 2018. It compares municipal and Senate elections from this year with the outputs of ČTK news from municipal elections in 2014 and Senate elections in 2016. It uses qualitative and quantitative analysis methods. The diploma thesis also deals with the method how the generation of reports in 2018 worked in ČTK and shows and explains examp
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Pan, Ya-Chen, and 潘雅真. "An automated construction approach of journal’s topic knowledge maps with knowledge structures." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/38975361963008694269.

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博士<br>中華大學<br>科技管理學系(所)<br>97<br>With the rapid development of the information technology, users can search and retrieve a huge amount of information and professional knowledge from search engines or subscribed journal databases. However, the amount of information retrieved is extremely huge, making it hard and time-consuming for users to find necessary knowledge. Therefore, how to assist users to obtain necessary information from the Internet or huge journal databases and retrieve implicit knowledge contained in the databases is a major goal of knowledge management. In this study, we try to p
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Chen, Kai-Hsun, and 陳凱勛. "Integrating travel journals and WebGIS through automatic extraction of geographic information." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/02688426798691599626.

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碩士<br>國立臺灣大學<br>資訊工程學研究所<br>101<br>Through integrating maps and geographic information of articles, the Geographic Information System (GIS) can help user observe and track phenomena that are not easily found from articles alone. However, there is a technical threshold issue. For users without much knowledge in geography, mastering GIS can be a daunting task, and the results may not necessarily meet the user’s need. Therefore, the target is to build a user-friendly and intuitive GIS tool for users to use, so that users can step by step complete geographical maps corresponding to their data. In
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"Automatic topic detection from news stories." 2001. http://library.cuhk.edu.hk/record=b5890594.

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Hui Kin.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 2001.<br>Includes bibliographical references (leaves 115-120).<br>Abstracts in English and Chinese.<br>Chapter 1 --- Introduction --- p.1<br>Chapter 1.1 --- Topic Detection Problem --- p.2<br>Chapter 1.1.1 --- What is a Topic? --- p.2<br>Chapter 1.1.2 --- Topic Detection --- p.3<br>Chapter 1.2 --- Our Contributions --- p.5<br>Chapter 1.2.1 --- Thesis Organization --- p.6<br>Chapter 2 --- Literature Review --- p.7<br>Chapter 2.1 --- Dragon Systems --- p.7<br>Chapter 2.2 --- University of Massachusetts (UMass) --- p.9<br>Cha
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Books on the topic "Automated journalism"

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García-Orosa, Berta, Sara Pérez-Seijo, and Ángel Vizoso. Emerging Practices in the Age of Automated Digital Journalism. Routledge, 2022. http://dx.doi.org/10.4324/9781003260813.

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Vershinin, Aleksandr. Access to digital information: legal regulation. INFRA-M Academic Publishing LLC., 2024. https://doi.org/10.12737/2098991.

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The textbook reveals the right to access digital information, taking into account the latest legislation, examines and clarifies the basic concepts in the field of information and digital technologies, examines the procedure for remote and automated access to various types of information, analyzes judicial and regulatory practice in the field of digital information use. Meets the requirements of the federal state educational standards of higher education of the latest generation. For students studying in the field of Law, lawyers and administrators, bloggers and journalists, teachers and resea
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Emerging Practices in the Age of Automated Digital Journalism: Models, Languages, and Storytelling. Taylor & Francis Group, 2022.

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García-Orosa, Berta, Ángel Vizoso, and Sara Pérez-Seijo. Emerging Practices in the Age of Automated Digital Journalism: Models, Languages, and Storytelling. Taylor & Francis Group, 2022.

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Dowd, Cate. Digital Journalism, Drones, and Automation. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190655860.001.0001.

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Advances in online technology and news systems, such as automated reasoning across digital resources and connectivity to cloud servers for storage and software, have changed digital journalism production and publishing methods. Integrated media systems used by editors are also conduits to search systems and social media, but the lure of big data and rise in fake news have fragmented some layers of journalism, alongside investments in analytics and a shift in the loci for verification. Data has generated new roles to exploit data insights and machine learning methods, but access to big data and
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García-Orosa, Berta, Ángel Vizoso, and Sara Pérez-Seijo. Emerging Practices in the Age of Automated Digital Journalism: Models, Languages, and Storytelling. Taylor & Francis Group, 2022.

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Vizoso, Ángel, Sara Pérez-Seijo, and Berta García Orosa. Emerging Practices in the Age of Automated Digital Journalism: Models, Languages, and Storytelling. Taylor & Francis Group, 2022.

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Campbell, Colin H. Automated Journalism at the Intersection of Politics and Black Culture: The Battle Against Digital Hegemony. Lexington Books/Fortress Academic, 2024.

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Katz, James E., and Kate K. Mays, eds. Journalism and Truth in an Age of Social Media. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190900250.001.0001.

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This edited volume examines how the growth of social media and ancillary computer systems is affecting the relationship between journalism and the pursuit of truth. Experts explore how news is perceived and identified, presented to the public, and how the public responds to news. They consider social media’s effect on the craft of journalism as well as the growing role of algorithms, big data, and automatic content production regimes. The volume’s aim is to confront these issues in a way that will be of enduring relevance; the discussions about contemporary journalism inform current students a
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.22 automatic: An Emerson Dunn mystery. Crossway Books, 1993.

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Book chapters on the topic "Automated journalism"

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Carlson, Matt. "Automated Journalism." In The Routledge Companion to Digital Journalism Studies. Routledge, 2016. http://dx.doi.org/10.4324/9781315713793-23.

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López-García, Xosé, and Berta García-Orosa. "Digital journalism." In Emerging Practices in the Age of Automated Digital Journalism. Routledge, 2022. http://dx.doi.org/10.4324/9781003260813-2.

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Justel-Vázquez, Santiago, Valentina Laferrara, Emiliana De Blasio, and Josep Lluís Micó-Sanz. "Journalism and analytics." In Emerging Practices in the Age of Automated Digital Journalism. Routledge, 2022. http://dx.doi.org/10.4324/9781003260813-4.

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Zydorek, Christoph. "Automatisierte Contentproduktion bei Nachrichten – Automated Journalism." In Grundlagen der Medienwirtschaft. Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-15252-9_4.

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Nanekar, Eeshan, Siddhant Nalawade, Zenden Castelino, and Smita Rukhande. "Automated Journalism Based on Sports Analysis." In Information Systems and Management Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13150-9_45.

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Salaverría, Ramón. "Journalists' use of UGC and automated content." In The Routledge Companion to Journalism Ethics. Routledge, 2021. http://dx.doi.org/10.4324/9780429262708-42.

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Rodríguez-Castro, Marta, and Clara González-Tosat. "Journalism's cruise control." In Emerging Practices in the Age of Automated Digital Journalism. Routledge, 2022. http://dx.doi.org/10.4324/9781003260813-9.

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Silva-Rodríguez, Alba, and Kjetil Vaage Øie. "The role of mobile media in journalism education." In Emerging Practices in the Age of Automated Digital Journalism. Routledge, 2022. http://dx.doi.org/10.4324/9781003260813-5.

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Vázquez-Herrero, Jorge, María-Cruz Negreira-Rey, and Gabriela Zago. "Young audience wanted! Journalism looks to the future." In Emerging Practices in the Age of Automated Digital Journalism. Routledge, 2022. http://dx.doi.org/10.4324/9781003260813-6.

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Palomo, Bella, and Pere Masip. "Journalistic Reinvention for an Automated and Polarized Scenario." In Information Visualization in The Era of Innovative Journalism. Routledge, 2020. http://dx.doi.org/10.4324/9780367809638-12.

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Conference papers on the topic "Automated journalism"

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Sym, Yan V., João Gabriel M. Campos, Marcos M. José, and Fabio G. Cozman. "Comparing Computational Architectures for Automated Journalism." In Encontro Nacional de Inteligência Artificial e Computacional. Sociedade Brasileira de Computação - SBC, 2022. http://dx.doi.org/10.5753/eniac.2022.227426.

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The majority of NLG systems have been designed following either a template-based or a pipeline-based architecture. Recent neural models for datato-text generation have been proposed with an end-to-end deep learning flavor, which handles non-linguistic input in natural language without explicit intermediary representations. This study compares the most often employed methods for generating Brazilian Portuguese texts from structured data. Results suggest that explicit intermediate steps in the generation process produce better texts than the ones generated by neural end-to-end architectures, avo
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Leppänen, Leo, Myriam Munezero, Mark Granroth-Wilding, and Hannu Toivonen. "Data-Driven News Generation for Automated Journalism." In Proceedings of the 10th International Conference on Natural Language Generation. Association for Computational Linguistics, 2017. http://dx.doi.org/10.18653/v1/w17-3528.

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Campos, João, André Teixeira, Thiago Ferreira, Fábio Cozman, and Adriana Pagano. "Towards Fully Automated News Reporting in Brazilian Portuguese." In Encontro Nacional de Inteligência Artificial e Computacional. Sociedade Brasileira de Computação - SBC, 2020. http://dx.doi.org/10.5753/eniac.2020.12158.

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We introduce robot journalists that cover two pressing topics in Brazilian society: COVID-19 spread and Legal Amazon deforestation. Our approach is able to automatically analyze structured domain data, select relevant content, generate news texts and publish them on the Web. We provide a thorough description of our system architecture, report on the results of automatic evaluation, discuss some of the advantages of robot-journalism in society, and point out further steps in our work. Corpus and code are publicly available.
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Nakov, Preslav, David Corney, Maram Hasanain, et al. "Automated Fact-Checking for Assisting Human Fact-Checkers." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/619.

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The reporting and the analysis of current events around the globe has expanded from professional, editor-lead journalism all the way to citizen journalism. Nowadays, politicians and other key players enjoy direct access to their audiences through social media, bypassing the filters of official cables or traditional media. However, the multiple advantages of free speech and direct communication are dimmed by the misuse of media to spread inaccurate or misleading claims. These phenomena have led to the modern incarnation of the fact-checker --- a professional whose main aim is to examine claims
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Loconsole, Claudio, and Massimiliano Panarari. "Algorithmic Journalism and Ideological Polarization: An Experimental Work Around ChatGPT and the Production of Politically Oriented Information." In 13th International Conference on Human Interaction & Emerging Technologies: Artificial Intelligence & Future Applications. AHFE International, 2025. https://doi.org/10.54941/ahfe1005943.

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Artificial intelligence (AI) is one of the emerging technologies that is developing with ever greater intensity and in an ever-increasing number of domains, often overturning the features of these domains. In the domain of journalism, generative AI has become a tool used to write texts and articles with potential implications on ethics and on the issue of transparency (Diakopoulos, Koliska, 2017) together with a possible reconfiguration of the perimeter and of the foundations of making information, with the oscillation between different options and positions (Schapals, Porlezza, 2020). The sci
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Khouzam, Farah, Nada Sharaf, Madeleine Saad, Caroline Sabty, and Slim Abdennadher. "Automatic Infogram Generation for Online Journalism." In 2019 23rd International Conference Information Visualisation (IV). IEEE, 2019. http://dx.doi.org/10.1109/iv.2019.00019.

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Ye, Xu, Guanling Chen, Yang Gao, Honghao Wang, and Yu Cao. "Assisting Food Journaling with Automatic Eating Detection." In CHI'16: CHI Conference on Human Factors in Computing Systems. ACM, 2016. http://dx.doi.org/10.1145/2851581.2892426.

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Belz, Anja. "Fully Automatic Journalism: We Need to Talk About Nonfake News Generation." In Conference for Truth and Trust Online 2019. TTO Conference Ltd., 2019. http://dx.doi.org/10.36370/tto.2019.29.

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Kim, Jongwoo, Daniel X. Le, and George R. Thoma. "Automated labeling of bibliographic data extracted from biomedical online journals." In Electronic Imaging 2003, edited by Tapas Kanungo, Elisa H. Barney Smith, Jianying Hu, and Paul B. Kantor. SPIE, 2003. http://dx.doi.org/10.1117/12.476047.

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Filho, Valmir Macário, Ricardo B. C. Prudêncio, Francisco A. T. de Carvalho, Leandro R. Torres, Laerte Rodrigues Júnior, and Marcos G. Lima. "Automatic Information Extraction in Semi-structured Official Journals." In 2008 10th Brazilian Symposium on Neural Networks (SBRN). IEEE, 2008. http://dx.doi.org/10.1109/sbrn.2008.36.

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Reports on the topic "Automated journalism"

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Semerikov, Serhiy O., Vladyslav S. Pototskyi, Kateryna I. Slovak, Svitlana M. Hryshchenko, and Arnold E. Kiv. Automation of the Export Data from Open Journal Systems to the Russian Science Citation Index. [б. в.], 2018. http://dx.doi.org/10.31812/123456789/2651.

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It is shown that the calculation of scientometric indicators of the scientist and also the scientific journal continues to be an actual problem nowadays. It is revealed that the leading scientometric databases have the capabilities of automated metadata collection from the scientific journal website by the use of specialized electronic document management systems, in particular Open Journal Systems. It is established that Open Journal Systems successfully exports metadata about an article from scientific journals to scientometric databases Scopus, Web of Science and Google Scholar. However, th
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Sanders, Suzanne, Jessica Kirschbaum, Suzanne Sanders, and Jessica Kirschbaum. Forest vegetation monitoring protocol (version 2.1): Great Lakes Inventory and Monitoring Network. National Park Service, 2024. http://dx.doi.org/10.36967/2305281.

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Forest vegetation provides an integrated measure of terrestrial ecosystem health by expressing information about the collective suite of drivers and stressors which act upon it. These include climate, disturbance, browse, and invasive species. We developed a comprehensive forest monitoring protocol to detect change in the nine Great Lakes Network parks. Monitoring is conducted on a nine-year rotation, with each of the parks sampled over the course of one summer, once every nine years. Site locations were selected to ensure that they are random, but also spatially balanced throughout the parks.
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