These Weeks in Social Analytics (TWiSA) provides easy to read summaries of recently published articles or studies that have crossed our desks at CyTRAP BlogRank. Get previous editions of TWiSA – Freakalytics and big data 1. Attention YouTube users Not too long ago, Pew published research findings that indicate 62 percent of US Facebook users stay away […]
Posts tagged as:
reliability
TWiSA: Super Bowl freakalytics
by Urs E. Gattiker on 2014/02/07 15,493 views
in a analysis: gaining insights,social media diary,white papers research
TWiSA: Privacy, porn and smartphones
by Urs E. Gattiker on 2014/01/17 10,567 views
in a analysis: gaining insights,social media diary,white papers research
Why smartphones are bad for your privacy, used to download porn at work, and online courses may not be for you.
Tagged as: City of London, empowerment, freakalytics, GSE study, measurement, MOOC, Nordstrom, porn data, privacy, reliability, trendwatch, validity
Business analytics: Arbitrary rankings, anyone?
by Urs E. Gattiker on 2012/11/22 · 15 comments 17,237 views
Most rankings do not measure what matters, such as whether the cost of a degree is worth it – find out which ones do measure what matters.
Tagged as: benchmark, best practice, big data, Bloomberg, business school rankings, Businessweek, data analytics, Financial Times, global MBA rankings, methodology, reliability, validity, why benchmark
Of libraries, doctorates and Web 2.0
by Urs E. Gattiker on 2009/11/26 · 15 comments 12,681 views
Research behavior of UK doctoral students born 1982 – 1994 was investigated, but methodological concerns overshadow interesting Web 2.0 findings.
Tagged as: best practice, measurement, media headlines, reliability, resarch methodology, social bookmarking, social media measurement, standards, validity
Sentiment analysis for online content: Honest?
by Urs E. Gattiker on 2009/09/03 · 56 comments 37,122 views
in a analytics taking action,b why benchmark analytics,c blogging - case studies,c micro-blogging Twitter
Sentiment analysis is gaining in popularity, so we evaluated some sentiment analysis programs for Twitter, etc. Do they measure what they are supposed to? Did findings make sense? We report our disastrous findings.
Tagged as: b why benchmark analytics, best practice, brand monitoring, buzz marketing, KPIs, reliability, sentiment analysis, sentiment analysis software, sentiment indicators, social media measurement, social media metrics, social media monitoring, social media tracking, tools for sentiment analysis fail validity test, Twitter test, validity, why benchmark SM?