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PR, Big Data and the Semantic Web

In the evolving landscape of public relations, traditional practices must adapt to the complexities of big data and the semantic web. This introduction by David Phillips explores how everyone—employees, consumers, and activists—contributes to the information ecosystem. With the rise of diverse channels, from social media to traditional news outlets, PR professionals must learn to blend traditional methodologies with innovative data solutions. Understand how to leverage big data insights for a competitive advantage and navigate the re-purposing of news in a multi-channel environment.

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PR, Big Data and the Semantic Web

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  1. PR, Big Data and the Semantic Web A n Introduction

  2. Grey Beards and New Technologies • David Phillips • Political and corporate PR, consultancy and research, author and academic. • How this is going to be hard for practitioners and entrants

  3. Everyone • At work and play people are connected • At the same time people are employees, consumers, activists and more. • The create and consume news created by everyone • News is re-purposed, likes shared and +’d

  4. Following the news • Radio, TV, newspapers, magazines • Facebook, Pinterest, G+, YouTube, Wiki’s and thousands of other channels. • Creators of words, photos, videos, likes and +’s • Re-tweets and shares • A mass of information

  5. Information or data • All this content and its URL’s • Site location, ownership, user demographics, date and time used, from which site to which site. • To be able to use it PR has is at a turning point. • Is this information or data

  6. Making data work for you • Traditional needs new solutions • News – in the past a taste of newspaper commentary, radio and TV. • Now the most significant information and the most banal information is in a multitude of channels.

  7. A process for management • There is the opportunity to mix and match the knowledge and experience of the practitioner. • Perspectives • What is important • What is positive What more is there to know?

  8. The code is invisible

  9. A quick look at semantics

  10. Teach software to curate

  11. Many applications

  12. A lot of ourcomes

  13. A working example

  14. PR meets Big Data and Semantics • We saw what big data looks like for the PR practitioner • We saw how we can get information and turn it into data • You learned how to inject professional insights into Big Data . • You now know how to get a competitive advantage.

  15. Brought to you by

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