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Press and Media

Press and Media problem: Artificial Intelligence

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Literature Review: Artificial Intelligence problem for Press and Media

This “Ten Problems for Press and Media in the 2020s” booklet identifies ten relevant areas from very recent contributions put forward at academic level in the form journal articles, conference proceedings and students theses. Ten freely accessible internet references have been selected for each area and direct links are provided at the end of each chapter for own consultation. Our selected references do not intend to mirror ranking indexes nor establish novel classifications. On the contrary, they are meant to represent peer-reviewed, diverse and scientifically-sound case studies for vertical dissemination aimed at non-specialist readers. They will also be able to scoop even more references through the bibliography that is reported at the end of each selected reference.

Without further ado, these are the ten problems that we are going to introduce in this booklet:

  1. profitability, 
  2. subsidies,
  3. entertainment,
  4. artificial intelligence,
  5. disinformation,
  6. trust,
  7. diversity,
  8. regulation,
  9. staff issues,
  10. podcasts.

Each problem has its own dedicated chapter made of an introductory section, a short presentation of the ten selected references and a conclusions section.

The final chapter of this booklet will report the conclusions from each chapter again in order to provide a complete executive summary.


4 Artificial Intelligence

THE PROBLEM — Artificial intelligence is today an integral part of the new media ecosystem. Large media organizations use artificial intelligence in three key areas of the news production process: story discovery, story generation and story distribution. Automated journalism is an algorithm process which enables the data set to be converted into news stories for human interest and readability. Artificial intelligence and machine learning based technologies can also be maliciously used to manipulate users in social media.

CASE STUDIES — … buy this booklet from Amazon …

CONCLUSIONS — Artificial intelligence technologies are considered as the added value of journalism in the digital age. Organizations need to implement their own transparency measures before regulation and regardless of legislation. Contrary to general perceptions, Google News headlines or snippets and Twitter posts have been generally passive or positive toward COVID-19 vaccines in Africa. Frequent use of function words in COVID-19, funeral-related newspaper articles, influences the emotional or affective processes. During the first wave of the COVID-19 pandemic, weak relationship was found between the social media used and the purchase in the e-shop promoted on the social media. DMINR is a multi-disciplinary research project funded by Google News Initiative to create a digital tool for researching and verifying stories. A quantum humanities case study from the media science wants to stress the potential benefits of using quantum computing technology for the humanities as well. The influence of bots appears much less dramatic than is often written about and over-regulation presents a greater threat to democracy than the bots themselves. Artificial journalism is based on the study of behaviors of journalists and their informative proposals in order to identify replicable standards through algorithms. Emotional values are understood to reflect a general Swedish techno-optimism as digital artefacts have allowed Sweden to become prosperous.

TEN FREE REFERENCES FROM THE INTERNET — … buy this booklet from Amazon …


PressMedia
“Ten Problems for Press and Media in the 2020s” booklet for Amazon Kindle, 2020; click on the cover to go to the dedicated Amazon listing page 

booklet updated on 5 May 2021, now on sale as version 1.1 

By TenProblems

Literature Reviews for Inquisitive Minds