The Resource Gary King on big data analysis : Podcast, (electronic resource)
Gary King on big data analysis : Podcast, (electronic resource)
Resource Information
The item Gary King on big data analysis : Podcast, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in European University Institute Library.This item is available to borrow from 1 library branch.
Resource Information
The item Gary King on big data analysis : Podcast, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in European University Institute Library.
This item is available to borrow from 1 library branch.
- Summary
- About this Podcast: The data revolution is upon us. It's said that in the last two years, more data has been created than has ever been created before. And in two years' time, we'll be able to say the same thing. For Gary King, the Albert J. Weatherhead III University Professor and director of the Institute for Quantitative Social Science at Harvard University, it is not the growth in the volume of data which is changing the world, it is the ability to use it. King describes big data as "the change in the world in which lots of things produce data." This data itself is not inherently useful; the question is whether you can make it useful.In this conversation King uses text analysis as an example of big data analytics. Social media has likely brought with it the largest increase in the expressive capacity of the human race in the history of the world. Roughly 650 million social media messages are produced every day. So, to someone trying to make statements about what those messages contain, would having 750 million messages make anything better? "Having bigger data," King says, "only makes things more difficult." The real innovation is in the ways of analysing those data.King goes on to discuss the development of a sophisticated technique for analysing social media posts according to the needs of social scientists, valuing the trend of what people are saying over individual categorisations. He describes how a "mathematically similar" project, which utilised a database of Chinese social media posts, led to an insight into the how and why of Chinese government censorship, and to a further surprising revelation.After discussing the supposed failure of polls in predicting Trump's presidency, King concludes with a rumination on big data's characterisation as a democratising, or manipulative, force.--
- Language
- eng
- Extent
- Podcast webpage (sound files)
- Note
- Streaming sound; download available (Mp3) or transcript (PDF)
- Isbn
- 9781526459824
- Label
- Gary King on big data analysis : Podcast
- Title
- Gary King on big data analysis
- Title remainder
- Podcast
- Language
- eng
- Summary
- About this Podcast: The data revolution is upon us. It's said that in the last two years, more data has been created than has ever been created before. And in two years' time, we'll be able to say the same thing. For Gary King, the Albert J. Weatherhead III University Professor and director of the Institute for Quantitative Social Science at Harvard University, it is not the growth in the volume of data which is changing the world, it is the ability to use it. King describes big data as "the change in the world in which lots of things produce data." This data itself is not inherently useful; the question is whether you can make it useful.In this conversation King uses text analysis as an example of big data analytics. Social media has likely brought with it the largest increase in the expressive capacity of the human race in the history of the world. Roughly 650 million social media messages are produced every day. So, to someone trying to make statements about what those messages contain, would having 750 million messages make anything better? "Having bigger data," King says, "only makes things more difficult." The real innovation is in the ways of analysing those data.King goes on to discuss the development of a sophisticated technique for analysing social media posts according to the needs of social scientists, valuing the trend of what people are saying over individual categorisations. He describes how a "mathematically similar" project, which utilised a database of Chinese social media posts, led to an insight into the how and why of Chinese government censorship, and to a further surprising revelation.After discussing the supposed failure of polls in predicting Trump's presidency, King concludes with a rumination on big data's characterisation as a democratising, or manipulative, force.--
- Assigning source
- Provided by Publisher
- http://library.link/vocab/relatedWorkOrContributorDate
-
- 1958-
- 1964-
- http://library.link/vocab/relatedWorkOrContributorName
-
- King, Gary
- Edmonds, David
- Series statement
-
- SAGE research methods
- Social Science Bites
- http://library.link/vocab/subjectName
-
- Big data
- Data mining
- Social media
- Label
- Gary King on big data analysis : Podcast, (electronic resource)
- Note
- Streaming sound; download available (Mp3) or transcript (PDF)
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Content category
-
- spoken word
- sounds
- audio
- Content type code
-
- tspw
- snd
- s
- Content type MARC source
-
- rdacontent
- rdacontent
- rdacontent
- Control code
- SAGE000006281
- Extent
- Podcast webpage (sound files)
- Form of item
- online
- http://bibfra.me/vocab/marc/formOfOriginalItem
- braille
- Isbn
- 9781526459824
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Specific material designation
- other
- Speed
- unknown
- System control number
- (OCoLC)1090375874
- Label
- Gary King on big data analysis : Podcast, (electronic resource)
- Note
- Streaming sound; download available (Mp3) or transcript (PDF)
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Content category
-
- spoken word
- sounds
- audio
- Content type code
-
- tspw
- snd
- s
- Content type MARC source
-
- rdacontent
- rdacontent
- rdacontent
- Control code
- SAGE000006281
- Extent
- Podcast webpage (sound files)
- Form of item
- online
- http://bibfra.me/vocab/marc/formOfOriginalItem
- braille
- Isbn
- 9781526459824
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Specific material designation
- other
- Speed
- unknown
- System control number
- (OCoLC)1090375874
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.eui.eu/portal/Gary-King-on-big-data-analysis--Podcast/yHXjq7MoA0E/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.eui.eu/portal/Gary-King-on-big-data-analysis--Podcast/yHXjq7MoA0E/">Gary King on big data analysis : Podcast, (electronic resource)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.eui.eu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="https://link.library.eui.eu/">European University Institute Library</a></span></span></span></span></div>
