How Do TV Viewers Tweet? Depends.
January 11, 2013 • culture, upstream • By Paul M. Davis
Twitter is a veritable gold mine of real-time social data for advertisers, brands, and entertainment studios. The much-vaunted phenomena of the second screen — viewers browsing and posting to social media while watching a TV show or a movie — yields far richer viewer data than old-school Nielsen numbers produced.
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Study Finds Surprising Links Between Social Media and Music Sales
December 10, 2012 • big data, culture, data science, upstream • By Paul M. Davis
With the music industry still scrambling to make money in the age of digital distribution, companies and musicians are increasingly turning to data to crack the code. In response to the low royalty rates paid by streaming audio services, cellist Zoë Keating recently declared on her blog, “the law only demands I be paid in money, which at this point in my career is not as valuable as information.
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Greenplum Plugs In To Gnip
December 05, 2012 • big data, upstream, visualization • By Paul M. Davis
With data from social media platforms accounting for an ever-increasing amount of the Big Data deluge, collecting that data becomes an ever-moving target. As social networks proliferate, so do the respective services’ APIs and access policies. Social media aggregator Gnip aims to simplify the process, allowing businesses to focus on reaping social data insight, rather than tracking which services are hot, which are not, and which have changed their API policies.
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The Answer Isn’t Less Data, It’s More Data Science
August 29, 2012 • data science, opinion, the enterprise • By Paul M. Davis
How much data is too much? Depending on who’s answering, the answer may be “there’s never enough.” Many don’t share that perspective, however, and are instead overwhelmed by the amount of data available at their fingertips. It’s a growing concern for consumers of online media, engorging themselves on the endless buffet of information served through social media, smartphones, and news aggregators.
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Facebook’s Data Team Challenges Fears of an Online Echo Chamber
August 24, 2012 • big data, data for good, data science, upstream • By Paul M. Davis
Online pundits and media critics warn that as social media increasingly becomes a dominant source of news, and aggregators like Google News develop algorithms to surface stories that are presumably more interesting to users, we’re participating in an echo chamber where self-selected social groups and online habits reinforce our existing beliefs.
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Twitter Games the Election Using Social Data
August 02, 2012 • government, predictive analytics, upstream, visualization • By Paul M. Davis
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