A Study of Development of News Language Database for Artificial Intelligence-Based News Making : Statistical Learning of News Stories of Daily Newspapers and Television Networks

2021 ◽  
Vol 65 (6) ◽  
pp. 416-451
Author(s):  
Jeongsub Lim
Author(s):  
Nirmala Thirumalaiah ◽  
Arul Aram I.

Climate change conferences had wide media coverage – be it on newspaper, radio, television or the internet. The terms such as ‘climate change', ‘global warming', and ‘El Nino' are gaining popularity among the public. This study examines the news coverage of climate change issues in the major daily newspapers—The Times of India, The Hindu in English, and the Dina Thanthi, Dinamalar, and Dinamani in regional language (Tamil)—for the calendar years 2014 and 2015. This chapter describes how climate change influences nature and human life, and it is the basis for social and economic development. The news coverage of climate change and sustainability issues helps the reader better understand the concepts and perspectives of environment. Climate change communication in regional newspapers and local news stories may increase the public's interest and knowledge level regarding climate change and sustainability issues.


Author(s):  
Ronald M. Baecker

There have been several challenges to our view of our position and purpose as human beings. The scientist Charles Darwin’s research demonstrated evolutionary links between man and other animals. Psychoanalysis founder Sigmund Freud illuminated the power of the subconscious. Recent advances in artificial intelligence (AI) have challenged our identity as the species with the greatest ability to think. Whether machines can now ‘think’ is no longer interesting. What is important is to critically consider the degree to which they are called upon to make decisions and act in significant and often life-critical situations. We have already discussed the increasing roles of AI in intelligent tutoring, medicine, news stories and fake news, autonomous weapons, smart cars, and automation. Chapter 11 focuses on other ways in which our lives are changing because of advances in AI, and the accompanying opportunities and risks. AI has seen a paradigm shift since the year 2000. Prior to this, the focus was on knowledge representation and the modelling of human expertise in particular domains, in order to develop expert systems that could solve problems and carry out rudimentary tasks. Now, the focus is on the neural networks capable of machine learning (ML). The most successful approach is deep learning, whereby complex hierarchical assemblies of processing elements ‘learn’ using millions of samples of training data. They can then often make correct decisions in new situations. We shall also present a radical, and for most of us a scary, concept of AI with no limits—the technological singularity or superintelligence. Even though superintelligence is for now sciencefiction, humanity is asking if there is any limit to machine intelligence. We shall therefore discuss the social and ethical consequences of widespread use of ML algorithms. It is helpful in this analysis to better understand what intelligence is, so we present two insightful formulations of the concept developed by renowned psychologists.


2017 ◽  
Vol 23 (2) ◽  
pp. 51-65 ◽  
Author(s):  
Eddie T. Osifelo

This article examines the use of anonymous sources in Solomon Star and Island Sun daily newspapers in Solomon Islands. It is aimed to explore why the two newspapers use anonymous sources in the news stories they publish. The two national newspapers face many challenges in maintaining a strong sense of ethics and accountability as most reporters are not qualified, and they compete in a small advertising market to generate revenue. Consequently, they also face challenges from politicians and other public figures over publishing anonymous sources in their papers. The challenges range from threats, intimidation, compensation demands to court battles. This study includes a content analysis of the daily papers and interviews with the editors of both papers and individuals who are affected by the issue.


1994 ◽  
Vol 13 (2) ◽  
pp. 281-289 ◽  
Author(s):  
Kathleen T. Lacher ◽  
Herbert J. Rotfeld

Newspaper readers more readily trust news than advertising content. Therefore, journalists and media scholars consider it important that audiences can distinguish between news stories and advertisements. The authors collected survey responses from 321 daily newspapers on their standards for acceptable advertising for publication. The responses were analyzed to discover if advertising acceptance policies and practices reflect publications’ willingness to blur the lines between news and advertising sections. The data indicate that most newspapers are careful about letting advertisers pretend their messages are really news stories. In general, newspapers’ journalistic priorities for honesty influence their advertising policies. A few newspapers may use the editorial content to help sell advertising space and otherwise blur the lines between news and advertising content, but it is not a common and widespread problem.


2017 ◽  
Vol 19 (18) ◽  
pp. 11299-11317 ◽  
Author(s):  
H. Mazaheri ◽  
M. Ghaedi ◽  
M. H. Ahmadi Azqhandi ◽  
A. Asfaram

We developed and constructed a novel model that could make reliable predictions on the adsorption of methylene blue dye and Cd2+ions from an aqueous medium.


2018 ◽  
Vol 96 (1) ◽  
pp. 60-81 ◽  
Author(s):  
Seth C. Lewis ◽  
Amy Kristin Sanders ◽  
Casey Carmody

The rise of automated journalism—the algorithmically driven conversion of structured data into news stories—presents a range of potentialities and pitfalls for news organizations. Chief among the potential legal hazards is one issue that has yet to be explored in journalism studies: the possibility that algorithms could produce libelous news content. Although the scenario may seem far-fetched, a review of legal cases involving algorithms and libel suggests that news organizations must seriously consider legal liability as they develop and deploy newswriting bots. Drawing on the American libel law framework, we outline two key issues to consider: (a) the complicated matter of determining fault in a case of algorithm-based libel, and (b) the inability of news organizations to adopt defenses similar to those used by Google and other providers of algorithmic content. These concerns are discussed in light of broader trends of automation and artificial intelligence in the media and information environment.


2018 ◽  
Vol 17 (01) ◽  
pp. E ◽  
Author(s):  
Mico Tatalovic

The rise of artificial intelligence has recently led to bots writing real news stories about sports, finance and politics. As yet, bots have not turned their attention to science, and some people still mistakenly think science is too complex for bots to write about. In fact, a small number of insiders are now applying AI algorithms to summarise scientific research papers and automatically turn them into simple press releases and news stories. Could the science beat be next in line for automation, potentially making many science reporters --- and even editors --- superfluous to science communication through digital press? Meanwhile, the science journalism community remains largely unaware of these developments, and is not engaged in directing AI developments in ways that could enhance reporting.


2010 ◽  
Vol 2 (2) ◽  
pp. 47-63
Author(s):  
Gian Piero Zarri

This paper concerns the use of in-depth analytical/conceptual techniques pertaining to the Artificial Intelligence domain to deal with narrative information (or “narratives”) in the terrorism- and crime-related areas. More precisely, the authors supply details about NKRL (Narrative Knowledge Representation Language), a representation and querying/inferencing environment especially created for an advanced exploitation of all types of narrative information. This description will be integrated with concrete examples that illustrate the use of NKRL tools in two recent ‘defence’ applications, the first dealing with a corpus of “Southern Philippines terrorism” news stories used in an R&D European project, the second, carried out in collaboration with the French “Délégation Générale pour l’Armement” (DGA, Central Bureau for Armament), which handles news stories about Afghanistan’s war.


2021 ◽  
Vol 20 (4) ◽  
pp. 457-477 ◽  
Author(s):  
Heather Riddell ◽  
Christopher Fenner

The advancement of technology has been accompanied by the rise of data breaches and privacy concerns. The integration of artificial intelligence (AI)-based virtual assistants into society has led to smart homes that enable users to complete commands instantly. This project uses the diffusion of innovation theory to explain why consumers adopt the technology. A thematic analysis was conducted on Twitter news stories, and open coding showed a strong negative reaction to the stories, with users concluding that privacy was too essential to purchase a virtual assistant for their home. These findings have implications for the future rate of adoption of AI and virtual assistant technology.


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