The news framing of artificial intelligence: a critical exploration of how media discourses make sense of automation

Nguyen, Dennis; Hekman, Erik

doi:10.1007/s00146-022-01511-1

Cited by 56 publications

(14 citation statements)

References 39 publications

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“…ANT improves the accuracy rate in news circulation. Knowledge-based methods are commonly used for the data circulation process [14].Machine learning (ML) techniques are also used in news data circulation. e fake news detection process is a difficult task to perform in news propagation.…”

Section: Introductionmentioning

confidence: 99%

Research on Data News Propagation Path Based on the Big Data Algorithm

Hao

Liu

Wang

2022

International Transactions on Electrical Energy Systems

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News propagation originates from a person/location, dwelling with an event that grabs significance. News data propagation relies on telecommunication and big data for precise content distribution and mitigation of false news. Considering these factors, the event-dependent data propagation technique (EDPT) was introduced to improve the data precision. These data refer to the news information originating and propagating from digital media. The data analysis considers the external factors for fake information and precise projection medium for preventing multiviewed false circulations. In this technique, the liability of the information is analyzed using a linear pattern support vector classifier. The data modification and propagation changes are classified based on liability information across the circulation time. The SVM classifier identifies these two factors with close liability validation, preventing false data. The data accumulation and analysis rates for the abovementioned classifications are performed in the propagation process using the classifier hyperplane. This plane is updated from the previous propagation point from which the events are identified. The proposed technique’s performance is analyzed using propagation accuracy, precision, false rate, time, and rate.

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Section: Introductionmentioning

confidence: 99%

Research on Data News Propagation Path Based on the Big Data Algorithm

Hao

Liu

Wang

2022

International Transactions on Electrical Energy Systems

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“…Starting in the mid 2010s, there was a substantial increase in English language coverage of AI in the mainstream news, including for use in healthcare [10]. The news articles often promote the expectation that AI has the ability to solve nearly any problem [11].…”

Section: Media Messaging About Ai In Healthcarementioning

confidence: 99%

Implications of Online Self-Diagnosis in Psychiatry

Monteith,

Glenn,

Geddes

et al. 2024

Pharmacopsychiatry

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Online self-diagnosis of psychiatric disorders by the general public is increasing. The reasons for the increase include the expansion of Internet technologies and the use of social media, the rapid growth of direct-to-consumer e-commerce in healthcare, and the increased emphasis on patient involvement in decision making. The publicity given to artificial intelligence (AI) has also contributed to the increased use of online screening tools by the general public. This paper aims to review factors contributing to the expansion of online self-diagnosis by the general public, and discuss both the risks and benefits of online self-diagnosis of psychiatric disorders. A narrative review was performed with examples obtained from the scientific literature and commercial articles written for the general public. Online self-diagnosis of psychiatric disorders is growing rapidly. Some people with a positive result on a screening tool will seek professional help. However, there are many potential risks for patients who self-diagnose, including an incorrect or dangerous diagnosis, increased patient anxiety about the diagnosis, obtaining unfiltered advice on social media, using the self-diagnosis to self-treat, including online purchase of medications without a prescription, and technical issues including the loss of privacy. Physicians need to be aware of the increase in self-diagnosis by the general public and the potential risks, both medical and technical. Psychiatrists must recognize that the general public is often unaware of the challenging medical and technical issues involved in the diagnosis of a mental disorder, and be ready to treat patients who have already obtained an online self-diagnosis.

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“…In Australia (James and Whelan, 2022), China (Zeng, 2021), and Germany (Köstler and Ossewaarde, 2022), legacy media also tend to present AI in a favourable light for its national development and implementation. Another trend is the high proportion of AI stories where few experts were cited (Brennen et al, 2019; Bunz and Braghieri, 2022; Nguyen and Hekman, 2022). In Canada, our own analysis is consonant with these findings and concludes that AI coverage is primarily business news (Dandurand et al, 2022).…”

Section: News Making Legacy Media and Artificial Intelligencementioning

confidence: 99%

Freezing out: Legacy media's shaping of AI as a cold controversy

Dandurand,

McKelvey,

Roberge

2023

Big Data & Society

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Mainstream coverage of artificial intelligence often appears to emphasise the technologies’ benefit and economic potential over its growing downsides. How does a technology poised to be so disruptive become so uncritically embraced? Why is it, simply put, that artificial intelligence's representations in legacy media do not normally convey the controversialities otherwise found in research or policy debates? We introduce the concept of ‘freezing out’ to describe processes of translation that cool down debates over the merits of technology. Freezing out looks at the other side of controversy studies to study the production of uncontroversies or cold controversies rather than hot topics and debates. We use the coverage of artificial intelligence in Canadian national news outlets to analyse how controversiality becomes ‘frozen out’. Since Canadian academics won the prestigious ImageNet prize in 2012 introducing the modern turn toward machine learning approaches, Canada has promoted itself as a global leader. Using in-depth interviews with Francophone and Anglophone journalists as well as topic modelling on data collected from five major newspapers, we find that routine news making processes between journalists, experts, entrepreneurs, and governments build, maintain, and promote Canada's artificial intelligence ecosystem. Freezing out contributes to a broader interest in how heterogeneous actors traverse their domain of expertise across policy, media, and research circles to cool down artificial intelligence controversies.

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The news framing of artificial intelligence: a critical exploration of how media discourses make sense of automation

Cited by 56 publications

References 39 publications

Research on Data News Propagation Path Based on the Big Data Algorithm

Research on Data News Propagation Path Based on the Big Data Algorithm

Implications of Online Self-Diagnosis in Psychiatry

Freezing out: Legacy media's shaping of AI as a cold controversy

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