Public Relations and the Rise of AI 1st Edition By Regina Luttrell, Adrienne A. Wallace
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Public Relations and the Rise of AI 1st Edition By Regina Luttrell, Adrienne A. Wallace

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300
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2.48 MB
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About this ebook
The book Public Relations and the Rise of AI (1st Edition), edited by Regina Luttrell and Adrienne A. Wallace, provides a comprehensive look at how artificial intelligence transforms modern public relations, balancing technical capability with human authenticity. [1, 2]
The textbook is structurally organized into five core thematic areas: []
🛡️ Part I: Creative & Storytelling
  • Generative AI in Content Creation: Evaluating how tools like ChatGPT and DALL·E complement human creativity and reshape core PR workflows. [1]
  • Maintaining Human Authenticity: Safeguarding genuine corporate voices and avoiding systemic miscommunication. [1]
  • DEI-Conscious Content: Structuring communication frameworks where Diversity, Equity, and Inclusion (DEI) intersect with automated content creation. [1]
🎯 Part II: Personalization and Targeted Communication
  • Hyper-Targeted Messaging: Leveraging machine learning and natural language processing (NLP) to segment audiences and optimize media pitches. [1]
  • AI Discrimination and Bias: Unpacking and mitigating algorithmic discrimination from a DEI perspective to avoid harmful bias in PR targeting. [1, 2]
  • Search Engine Optimization (SEO): Using AI-driven tools to refine SEO and Search Engine Marketing (SEM) within strategic campaigns. [1]
📊 Part III: Media Monitoring, Influencer Relations, and Reputation Management
  • AI-Powered Synthetic Personas: Navigating the legal, ethical, and practical implications of computer-generated virtual influencers representing brands.
  • Real-Time Engagement: Monitoring live brand mentions, industry trends, and competitor activities across multiple digital channels.
  • Predictive Crisis Management: Deploying predictive tools to anticipate public backlashes and manage sudden organizational risks. [1, 2, 3, 4]
📉 Part IV: Data Analytics
  • Advanced Data Interpretation: Processing extensive brand datasets through AI-powered platforms to yield actionable strategic insights.
  • Sentiment Analysis: Monitoring nuanced public opinion shifts, sentiment undercurrents, and safety perceptions across different cultures and languages.
  • Campaign Measurement: Evaluating the efficacy of AI-driven PR practices against traditional industry benchmarks. [, 2, 3, 4]
🚫 Part V: Mis/DisInformation and AI + PR
  • Detecting Synthesized Content: Utilizing specialized detection algorithms to identify manipulated or synthetic text, audio, images, and video. [1]
  • Deepfakes and Strategic Communication: Addressing the ethical boundaries of AI imagery and synthetic video (such as a CEO deepfake avatar) during communication emergencies. [1]
  • Global Regulation and Accountability: Understanding international regulatory frameworks to help formulate internal organization AI policies focused on transparency. [1]

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Advanced Data Interpretation: Processing extensive brand datasets AI Discrimination and Bias AI-Powered Synthetic Personas Campaign Measurement: Evaluating the efficacy of AI-driven PR practices computer-generated virtual influencers representing brands. Deepfakes and Strategic Communication: Addressing the ethical boundaries of AI imagery DEI-Conscious Content: Structuring communication frameworks Detecting Synthesized Content: Utilizing specialized detection algorithms Generative AI in Content Creation Global Regulation and Accountability: Understanding international regulatory frameworks how tools like ChatGPT and DALL·E complement human creativity Hyper-Targeted Messaging: Leveraging machine learning and natural language processing (NLP) ISBN-10: 1032671327 ISBN-13: 978-1032671321 ISBN-13: 978-1032671475 ISBN-13: 978-1032671482 Maintaining Human Authenticity: Safeguarding genuine corporate voices Media Monitoring Influencer Relations and Reputation Management Mis/DisInformation and AI + PR Real-Time Engagement: Monitoring live brand mentions industry trends Search Engine Optimization (SEO Sentiment Analysis: Monitoring nuanced public opinion shifts Using AI-driven tools to refine SEO and Search Engine Marketing (SEM)
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