{"id":2774,"date":"2024-09-24T13:15:57","date_gmt":"2024-09-24T07:45:57","guid":{"rendered":"http:\/\/sites.iitgn.ac.in\/digitalstudies\/?page_id=2774"},"modified":"2024-09-24T13:15:57","modified_gmt":"2024-09-24T07:45:57","slug":"resource-guide-dwip","status":"publish","type":"page","link":"http:\/\/sites.iitgn.ac.in\/digitalstudies\/resource-guide-dwip\/","title":{"rendered":"Resource Guide – Dwip"},"content":{"rendered":"

\"\"<\/a><\/p>\n

Books List<\/strong><\/span><\/p>\n

\u25cf Francesco Marconi – Newsmakers Artificial Intelligence and the Future of\u00a0Journalism<\/em> – Columbia University Press (2020)<\/p>\n

AI has brought about a paradigm shift in how the world functions. While some fear displacement\u00a0by AI, others embrace it, leveraging its capabilities for professional advancement. For journalists\u00a0and news media professionals, it\u2019s essential to see AI as an ally rather than a competitor. This\u00a0brings us to the first book of the course – “The Newsmakers: AI and the Future of\u00a0Journalism.” This book explores the concepts of AI and its impact on the newsroom, intending to express the\u00a0idea that AI can augment\u2014not automate\u2014the industry. Throughout the book, it delves into\u00a0essential questions like, \u201cHow is a computer able to understand someone\u2019s emotions?\u201d and\u00a0\u201cHow do you scale the workforce using AI?\u201d among many others that arise when applying AI in\u00a0the newsroom. The author aims to guide journalists in adapting to new technologies and\u00a0meeting evolving reader demands. The AI concepts and algorithms are presented in this book\u00a0without mathematical jargon, making them understandable and implementable by a\u00a0non-technical person. This book is designed to shift individuals from a traditional mindset to new\u00a0thinking: grow with AI.<\/p>\n

\u25cf AI In Media Personalized Content Revolution<\/em> – By Rafeal Mechlore \u00b7 2023<\/p>\n

AI is reforming the media industry by introducing an era of personalized content. Platforms like\u00a0Netflix, Instagram, and YouTube now utilize AI to suggest content that aligns with individual user\u00a0preferences. This shift has necessitated media practitioners to adapt to this new wave of
\ndelivering personalized content to their audience.<\/p>\n

This book by Rafael Mechlore highlights the importance of using AI to customize the reports and articles presented to readers. It explains to media practitioners how they can employ AI to\u00a0analyze a client’s past reading habits and preferences and organize news that aligns with their
\ninterests, thereby keeping their readers engaged. It also delves into a pertinent question of\u00a0finding harmony between customization and client security.<\/p>\n

Client privacy is important in a world where data is everything. It discusses the twin challenge of\u00a0maintaining maximum content relevance for reader engagement while keeping an eye on user\u00a0privacy against the ongoing commodification of data. This book thoroughly reviews the
\ntransformative role of AI for content personalization and its ethical implications, providing\u00a0invaluable insights for senior undergraduates and doctoral candidates of digital media studies\u00a0required to face the future of media.<\/p>\n

\u25cf Victoria L. Rubin – Misinformation and Disinformation Detecting Fakes with the Eye and AI\u00a0<\/em>– Springer (2022)<\/p>\n

The creation and spread of misinformation has become a lot easier, given technological advancement. Manual fact-checking, a time-consuming task, requires journalists to sift through\u00a0numerous online and offline sources, evaluating the reliability of each to assess the truthfulness\u00a0of a claim. This process, depending on the complexity of the claim, can take professional\u00a0fact-checkers hours or even days. This raises the question of how to detect fake news and\u00a0misinformation in multimedia content automatically.<\/p>\n

This book by Victoria L. Rubin elegantly addresses the negative impacts of AI and proposes AI-based solutions for media practitioners to detect misinformation. It discusses how one can\u00a0conduct evidence-based research and adopt best practices in lie-catching and truth-seeking
\nprofessions to inform AI development. The book explores well-established human practices,\u00a0such as the routines and processes used in detective work, journalism, and scientific inquiry,\u00a0and how they contribute to innovative AI solutions. It explains the principles, inner workings, and\u00a0recent evolution of five types of state-of-the-art AI technologies suitable for curtailing the spread\u00a0of misinformation: automated deception detectors, clickbait detectors, satirical fake news detectors, rumor debunkers, and computational fact-checking tools.<\/p>\n

\u25cf Nicholas Diakopoulos – Automating the News How Algorithms Are Rewriting the Media\u00a0<\/em>– Harvard University Press (2019)<\/p>\n

In this book, Nicholas Diakopoulos takes readers on a journey to understand how algorithms are transforming the production and dissemination of news. Bringing light on the rapidly evolving\u00a0field of journalism, where stories are now frequently created and disseminated using computer\u00a0algorithms, it becomes imperative that anybody involved in the media understand how these algorithms can expedite the publication of news, making it happen more quickly than in the past. Media professionals can get a great edge by comprehending and utilising these algorithms, which will enable them to stay up to date with today’s fast-paced news. This book also\u00a0discusses data mining and newsbots\u2014AI agents that disseminate information. The book’s\u00a0writing style is designed to make it simple for non-technical readers to comprehend and use\u00a0these AI techniques.<\/p>\n

The book emphasizes the need to stay ahead in the digital age, making it a must-read for anyone attempting to comprehend the fusion of AI and modern journalism. This book I believe\u00a0would help readers make the most of the available resources and opensource algorithms.<\/p>\n

The following two materials are crucial for adapting to the impact of AI and guiding media\u00a0practitioners on how to use AI effectively and ethically.<\/p>\n

\u25cf The Journalist\u2019s Toolbox – A Guide to Digital Reporting and AI<\/em> (latest book published in January 2024)<\/p>\n

AI is progressing at an extremely fast rate, faster than experts had ever predicted. In this\u00a0fast-paced world, AI is widely used for multimedia content creation. Hence, it’s essential for media practitioners to stay updated with state-of-the-art AI tools and technologies to use them
\nfor their professional growth.<\/p>\n

This book discusses the latest AI tools (like BARD, ChatGPT, DALL\u00b7E, and many more), their impact on the newsroom, and how journalists can also use these tools. Focusing on the “how”\u00a0and “why” of digital reporting, this textbook equips readers with the skills they need to succeed\u00a0in today’s multimedia reporting landscape.<\/p>\n

\u25cf Artificial Intelligence and the Media – Reconsidering Rights and Responsibilities <\/em><\/p>\n

“With great power comes great responsibility.”<\/p>\n

The use of AI in media raises many questions about the ownership of work and the responsibility for its impact on readers. Therefore, it is imperative to have knowledge about\u00a0these issues.<\/p>\n

This book presents the rules and regulations governing the use of AI by media practitioners. It explores what “AI” and “accountability” mean in the context of media practices, principles, and\u00a0power relations. Moreover, it addresses the AI revolution with informed law and policy to
\nincentivize responsible utilization of AI and to mitigate negative societal impacts.<\/p>\n

Hence, I believe this book is essential for the safe and legal use of AI by media practitioners.<\/p>\n

\n

\u201cIt could help the newsroom get more time and really focus on journalist work. Editors should work on reports where they bring in their view and where we can use their\u00a0expertise as journalists; since writing normal reports is a little bit of a waste of time\u201d –\u00a0John Patrick Rott.<\/p>\n

Reference<\/span><\/strong>
\n\u25cf Mechlore, Rafael. 2023. AI in Media: Personalized Content Revolution<\/em>. India:\u00a0Grace Publishers.<\/p>\n

\u25cf Marconi, Francesco. 2020. Newsmakers: Artificial Intelligence and the Future of Journalism<\/em>. New York: Columbia University Press.<\/p>\n

\u25cf Rubin, Victoria L. 2022. Misinformation and Disinformation: Detecting Fakes with the Eye and AI<\/em>. Springer.<\/p>\n

\u25cf Diakopoulos, Nicholas. 2019. Automating the News: How Algorithms Are Rewriting the Media<\/em>. Harvard University Press.<\/p>\n

\u25cf Reilley, Mike. The Journalist\u2019s Toolbox: A Guide to Digital Reporting and AI. United Kingdom: Taylor & Francis, 2024.<\/p>\n

\u25cf Artificial Intelligence and the Media: Reconsidering Rights and Responsibilities<\/em>. United Kingdom: Edward Elgar Publishing, 2022.<\/p>\n","protected":false},"excerpt":{"rendered":"

Books List \u25cf Francesco Marconi – Newsmakers Artificial Intelligence and the Future of\u00a0Journalism – Columbia University Press (2020) AI has brought about a paradigm shift in how the world functions. While some fear displacement\u00a0by AI, others embrace it, leveraging its capabilities for professional advancement. For […]<\/p>\n","protected":false},"author":4,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-2774","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"http:\/\/sites.iitgn.ac.in\/digitalstudies\/wp-json\/wp\/v2\/pages\/2774"}],"collection":[{"href":"http:\/\/sites.iitgn.ac.in\/digitalstudies\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/sites.iitgn.ac.in\/digitalstudies\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/sites.iitgn.ac.in\/digitalstudies\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"http:\/\/sites.iitgn.ac.in\/digitalstudies\/wp-json\/wp\/v2\/comments?post=2774"}],"version-history":[{"count":2,"href":"http:\/\/sites.iitgn.ac.in\/digitalstudies\/wp-json\/wp\/v2\/pages\/2774\/revisions"}],"predecessor-version":[{"id":2777,"href":"http:\/\/sites.iitgn.ac.in\/digitalstudies\/wp-json\/wp\/v2\/pages\/2774\/revisions\/2777"}],"wp:attachment":[{"href":"http:\/\/sites.iitgn.ac.in\/digitalstudies\/wp-json\/wp\/v2\/media?parent=2774"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}