A centre of expertise in digital information managementwww.ukoln.ac.uk Brian Kelly UKOLN University of Bath Bath, UK UKOLN is supported by: This work is licensed under a Attribution- NonCommercial-ShareAlike 2.0 licence (but note caveat) Acceptable Use Policy Recording this talk, taking photos, discussing the content using Twitter, blogs, etc. is permitted providing distractions to others is minimised. Acceptable Use Policy Recording this talk, taking photos, discussing the content using Twitter, blogs, etc. is permitted providing distractions to others is minimised. Twitter: Blogs: Twitter: #devcsi #iwmw11hack Metrics for the Social Web or how institutional data may include data about institutions / members of institutions held elsewhere

A centre of expertise in digital information managementwww.ukoln.ac.uk 2 2 You are free to: copy, share, adapt or re-mix; photograph, film or broadcast; blog, live-blog or post video of this presentation provided that: You attribute the work to its author and respect the rights and licences associated with its components. Idea from Cameron Neylon Slide Concept by Cameron Neylon, who has waived all copyright and related or neighbouring rights. This slide only CCZero. Social Media Icons adapted with permission from originals by Christopher Ross. Original images are available under GPL at:

A centre of expertise in digital information managementwww.ukoln.ac.uk Services being considered: Twitter, Facebook, YouTube, iTunes, Technorati, Wikio & Slideshare 3

A centre of expertise in digital information managementwww.ukoln.ac.uk Twitter: Personal Trends 4 Reality: Significant use began in Apr 2008 at MW 2008 conf Needed community in order to gain benefits Implications: Our memories may be incorrect Data may be wrong (due to Twitter downtime??) I thought I used Twitter regularly ever since signing up in March Evidence from Tweetstats: Significant use began in Jan 2008 (100+ tweets) No use in Mar-Jun 2008

A centre of expertise in digital information managementwww.ukoln.ac.uk Social Media Analytic Summaries Social media analytic summaries for Russell Group Universities 5 Outliers may be interesting

A centre of expertise in digital information managementwww.ukoln.ac.uk Peerindex Comparisons (1) 6 Peerindex’s ‘topic fingerprint’ for Oxford / Cambridge: Similar profiles Oxford covers news, politics & history Cambridge covers technologies Peerindex and Klout group comparisons for Russell Group Unis available (data used in this talk is available freely for reuse under CC0 licence)

A centre of expertise in digital information managementwww.ukoln.ac.uk Peerindex Comparisons (2) 7 Peerindex’s ‘topic fingerprint’ (blue blob) (grey outline) Do such comparisons tell us anything useful? Example used of four established bloggers / Twitterers

A centre of expertise in digital information managementwww.ukoln.ac.uk Slideshare at Events (1 of 2) IWMW events used Slideshare since Statistics show: Overall nos of views (<1,000 live audience) and suggest: Potential for amplification of parallel sessions Potential value of aggregation of slides 8 But does decline since 2008 peak indicate: Slideshare is past it (use Slideboom, …)? Viewing slides is passe Benefits of longstanding availability?

A centre of expertise in digital information managementwww.ukoln.ac.uk Slideshare at Events (2 of 2) Statistics of most popular slides suggest: Popularity of non-HE speakers’ slides Popularity of slides not in corporate house style 9 This has some positive correlation with experiences of local audience Could this inform selection of speakers in future?

A centre of expertise in digital information managementwww.ukoln.ac.uk Facebook Survey of Russell Group Unis Fb use: Branded Fb URL: 7 Fb page: 7 Fb group: 1 No easily found Fb presence: 5 Neglected or unofficial Fb presence: 1 Range of ‘likes’: 2,047 – 137,395 Recent report on ‘ROI of Fb advertising’ suggested “1 Facebook fan = 20 additional visits to your website” 10 How would we know if Cardiff‘s 20,035 Likes have provided an ROI?

A centre of expertise in digital information managementwww.ukoln.ac.uk YouTube Edu Survey of YouTube Edu accounts: 1M+ views at Coventry Uni Lack of comments 11 Example of stats available

A centre of expertise in digital information managementwww.ukoln.ac.uk iTunes Edu 12 Numeric data not readily obtained from iTunes Edu Is this: To be welcomed as an escape from bean- counting? Of concern since gathering qualitative evidence can be costly? Blog post analysed how services marketed: “lots of content”; “free content”; “available on iPods”; …

A centre of expertise in digital information managementwww.ukoln.ac.uk The Context The need to demonstrate value in light of Government cuts 13 NB 1D view: no comments on ROI, comparisons with print, TV, … costs

A centre of expertise in digital information managementwww.ukoln.ac.uk Open Data Government to ‘force’ Unis to publish data about courses, student experiences, … Builds on Labour’s Open Gov initiative An opportunity to be welcomed? Can take initiative in publishing open data about uses of social media 14

A centre of expertise in digital information managementwww.ukoln.ac.uk Numbers Matter 15 “Sales of 25 million iPads in just 14 months. 200 million iOS devices in total. 15 billion songs downloaded since million books. 14 billion apps downloaded from a store that now runs to 425,000 apps.” BBC News 7 Jun 11 JISC-funded OII Impact report: “The media and the public are influenced by numbers and metrics”

A centre of expertise in digital information managementwww.ukoln.ac.uk Prisoner’s Dilemma We can all benefit by: Sharing best practices Understanding limitations Agreeing on ways forward But concerns that: We might be doing badly We might not be doing as well as our rivals We don’t want to boast We want a perfect solution, not a good enough one We want to learnt from others, but not share our experiences 16 Prisoner’s dilemma: why people might not cooperate even if it is in their best interests to do so. Concerns

A centre of expertise in digital information managementwww.ukoln.ac.uk What I’d Like from Developers What I’d like: To avoid marketing departments paying Social media companies for social media analytics Developers to demonstrate how they can add value to gathering, interpreting and visualising data for personal /institutional use of Social Web To be completed by 10am tomorrow for demonstration at IWMW launch! Can you help? 17