Social Discoveryin an Information Abundant World                   Ben Shneiderman                  ben@cs.umd.edu   @benb...
Interdisciplinary research community - Computer Science & Info Studies - Psych, Socio, Poli Sci & MITH      (www.cs.umd.ed...
Design Issues•   Input devices & strategies     • Keyboards, pointing devices, voice     • Direct manipulation     • Menus...
Spotfire: Retinol’s role in embryos & vision
h ttp :/ re gis tration.s p otfire .com / val/ e fau lt_ e d u .as p        /                                e    d
NF                           AIFact-Finding Search           S                                  20                        ...
NF                                                                               AI  Discovery Process: Task Analysis     ...
NF                                                                                         AI  Discovery Process: Task Ana...
NF                                                                                         AI  Discovery Process: Task Ana...
NF                                                                        AI  Discovery Process: Task Analysis            ...
NF                                                                          AI    Discovery Process: Task Analysis        ...
NF                                                            AIDiscovery Process: Design                          Challen...
NFAIS 2011: Social Discovery•   Facebook minutes exceed Google minutes
NFAIS 2011: Social Discovery•   Facebook minutes exceed Google minutes•   Social referral exceeds solitary search
Social Referral Exceeds Solitary Search  S earch and Res cue: How to B ecome Findable and S hareable in S ocial Media     ...
NFAIS 2011: Social Discovery•   Facebook minutes exceed Google minutes•   Social referral exceeds solitary search•   Ambit...
NFAIS 2011: Social Discovery•   Facebook minutes exceed Google minutes•   Social referral exceeds solitary search•   Ambit...
NFAIS 2011: Social Discovery•   Facebook minutes exceed Google minutes•   Social referral exceeds solitary search•   Ambit...
Discovery Process: Visual Analytics                                 S ens e-Making Loop                                 •I...
Social Discovery: New Media Lifestyle                                         Pros umption C ycle                         ...
New Media Lifecycle                                                                                    The New Media Lifec...
Social Bookmarking: del.icio.us & connotea
Collaboration: Tagging & voting
Treemap: Digg Overview                www.hivegroup.com
Chomp: App Discovery
Blekko:
YAHOO! Answers
Wikia Answers
QuoraS e arch qu e s tion top icsR e ad qu e s tionsR e ad ans we rs   from nam e d s ou rce sR ate & contrib u te
VIVOweb: Enabling Networking of Scientists
Biodiversity: Encyclopedia of Life                 eol.org
NASA Clickworkers: Crowdsource Science
Citizen Science Alliance
Collaboratories: Discovery CommunitiesBos e t al.,      O ls on, G ary M ., Zim m e rm an, Ann, & Bos , N ath an. (2008)  ...
Health, Healthcare & Wellness
Social Marketplace: Mechanical Turk
Social Challenge: Netflix Prize
Social Search/Discovery: Active & Passive
Social Challenge: Innocentive
TopCoder: Asking for Programming Help•   Linux, Mozilla, Apache,...•   CrisisCamp, Sahana, Hackathons, ....
Social DiscoverySocialDiscovery    Create Capacity        Seek SolutionIndividual   Tag, Comment,          Ask questions, ...
From Reader to Leader:         M otivating Te ch nology-M e d iate d S ocial P articip ationAll                      Reade...
Motivating Readers                   Usability                                     SociabilityInteresting & relevant conte...
Motivating C ontributors                Usability                                  SociabilityLow threshold interfaces to ...
Motivating C ollaborators                Usability                                Sociability  Ways to locate relevant & c...
Motivating Leaders               Usability                              SociabilityLeaders are given higher visibility &  ...
NodeXL:    Network Overview for Discovery & Exploration in Excelwww.codeplex.com/nodexl
NodeXL:Network Overview for Discovery & Exploration in Excel    www.codeplex.com/nodexl
NodeXL: Import Dialogs  www.codeplex.com/nodexl
Tweets at #WIN09 Conference: 2 groups
Tweets at #NFAIS11 Conference: Sunday S ize b y Be twe e nne s s C e ntrality
Tweets at #NFAIS11 Conference: Sunday
Tweets at #NFAIS11 Conference: Monday S ize b y Be twe e nne s s C e ntrality
Tweets at #NFAIS11 Conference: Monday S ize b y Be twe e nne s s C e ntrality
Tweets at #NFAIS11 Conference: Monday S ize b y Be twe e nne s s C e ntrality, C olor b y C lu s te r
WWW2010 Twitter Community
Tweets for #HCI: 2 groups
Kodak Twitter Community    www.cod e p le x.com / e xl/                          nod
Oil Spill Twitter Community     www.cod e p le x.com / e xl/                           nod
CHI2010 Twitter Community    www.cod e p le x.com / e xl/                          nod
NodeXL: HIPAA, F-R layout, Size by Followers              www.codeplex.com/nodexl
NodeXL: HIPAA, H-K layout, extract smalls,  size by Tweets            www.codeplex.com/nodexl
NodeXL: HIPAA, H-K, Size by Betweenness Centrality               www.codeplex.com/nodexl
NodeXL: HIPAA, H-K, Size by Betweenness Centrality               www.codeplex.com/nodexl
NodeXL: HIPAA, H-K, Size by Betweenness Centrality               www.codeplex.com/nodexl
NodeXL: HIPAA, H-K, Size by Betweenness Centrality               www.codeplex.com/nodexl
Flickr clusters for “mouse”                         C omputer   Mickey                                A nimal
Flickr networks
Analyzing Social Media Networks with NodeXLI. Getting S tarted with A nalyzing S ocial Media Networks    1 . Introd u ctio...
Social Media Research FoundationR e s e arch e rs wh o want to  - cre ate op e n tools  - ge ne rate & h os t op e n d ata...
UN Millennium Development GoalsTo b e ach ie ve d b y 201 5    • E rad icate e xtre m e p ove rty and h u nge r    • Ach i...
28th Annual Symposium    May 25-26, 2011 www.cs.umd.edu/hcil
Social Search/Discovery: Active&Passive•   Create content: scanned & born digital     • Individual & group efforts•   Impr...
S ocial m e d ia h as fu nd am e ntally ch ange d th e way th at p e op le d is cove r p rod u cts ,s e rvice s and conte ...
Social DiscoverySocialDiscovery               Create Capacity                                Seek SolutionIndividual      ...
Asking for Help•   Requests to your community•   Posts to discussion groups•   Questions to free answer services•   Questi...
Forming Collaborations•   Find fellow searchers with shared interests•   Hire staff to follow your leadership•   Recruit d...
Social Search/Discovery: Active & Passive•   Early systems: GroupSearch, CoSearch, Ariadne•   Tagging: Digg, Connotea•   R...
U.S. Library of Congress• Scholars, Journalists, Citizens• Teachers, Students
Visible Human Explorer (NLM)• Doctors• Surgeons• Researchers• Students
NASA Environmental Data• Scientists• Farmers• Land planners• Students
Bureau of the Census                • Economists, Policy                 makers, Journalists                • Teachers, St...
NSF Digital Government Initiative             • Find what you need             • Understand what you FindCensus,NCHS,BLS, ...
Recovery.gov
Information Visualization•   Visual bandwidth is enormous    • Human perceptual skills are remarkable      • Trend, cluste...
ManyEyes: A web sharing platform    http://manyeyes.alphaworks.ibm.com/manyeyes
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NFAIS-Social Discovery in an Information Abundant World

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  • "The IN Cell Analyzer automated microscope was used to identify proteins influencing the division of human cells. After the images were analyzed, quantitative results were transferred to Spotfire DecisionSite. This screen revealed the previously unknown involvement of the retinol binding protein RBP1 in cell cycle control.(Stubbs S, & Thomas N. 2006 Methods in Enzymology; 414:1-21.) Retinol a form of Vitamin A plays a crucial role in vision and during embryonic development"  
  • Chapter 3, Figure 1 (page 6). A NodeXL social media network diagram of relationships among Twitter users mentioning the hashtag “#WIN09” used by attendees of a conference on Network Science at NYU in September 2009. Each user’s node is sized proportional to the number of tweets they have ever made to that date.
  • Chapter 3, Figure 1 (page 6). A NodeXL social media network diagram of relationships among Twitter users mentioning the hashtag “#WIN09” used by attendees of a conference on Network Science at NYU in September 2009. Each user’s node is sized proportional to the number of tweets they have ever made to that date.
  • Chapter 3, Figure 1 (page 6). A NodeXL social media network diagram of relationships among Twitter users mentioning the hashtag “#WIN09” used by attendees of a conference on Network Science at NYU in September 2009. Each user’s node is sized proportional to the number of tweets they have ever made to that date.
  • Chapter 3, Figure 1 (page 6). A NodeXL social media network diagram of relationships among Twitter users mentioning the hashtag “#WIN09” used by attendees of a conference on Network Science at NYU in September 2009. Each user’s node is sized proportional to the number of tweets they have ever made to that date.
  • Chapter 3, Figure 1 (page 6). A NodeXL social media network diagram of relationships among Twitter users mentioning the hashtag “#WIN09” used by attendees of a conference on Network Science at NYU in September 2009. Each user’s node is sized proportional to the number of tweets they have ever made to that date.
  • Chapter 3, Figure 1 (page 6). A NodeXL social media network diagram of relationships among Twitter users mentioning the hashtag “#WIN09” used by attendees of a conference on Network Science at NYU in September 2009. Each user’s node is sized proportional to the number of tweets they have ever made to that date.
  • Chapter 3, Figure 1 (page 6). A NodeXL social media network diagram of relationships among Twitter users mentioning the hashtag “#WIN09” used by attendees of a conference on Network Science at NYU in September 2009. Each user’s node is sized proportional to the number of tweets they have ever made to that date.
  • Figure 13.20. NodeXL cluster visualization showing three Flickr tag clusters, each representing a different context for “mouse”. Figure 13.21. NodeXL display of Isolated clusters for three different contexts for the “mouse” tag in Flickr: mouse animal, computer mouse, and Mickey Mouse Disney character.
  • Chapter 3, Figure 1 (page 6). A NodeXL social media network diagram of relationships among Twitter users mentioning the hashtag “#WIN09” used by attendees of a conference on Network Science at NYU in September 2009. Each user’s node is sized proportional to the number of tweets they have ever made to that date.
  • NFAIS-Social Discovery in an Information Abundant World

    1. 1. Social Discoveryin an Information Abundant World Ben Shneiderman ben@cs.umd.edu @benbendcFounding Director (1983-2000), Human-Computer Interaction Lab Professor, Dept. of Computer Science Member, Institute for Advanced Computer Studies Miles Conrad Award Lecture NFAIS, Feb. 28, 2011
    2. 2. Interdisciplinary research community - Computer Science & Info Studies - Psych, Socio, Poli Sci & MITH (www.cs.umd.edu/hcil)
    3. 3. Design Issues• Input devices & strategies • Keyboards, pointing devices, voice • Direct manipulation • Menus, forms, commands• Output devices & formats • Screens, windows, color, sound • Text, tables, graphics • Instructions, messages, help• Collaboration & Social Media www.awl.com/DTUI Fifth E dition: 2010• Help, tutorials, training• Search • Vis u alization
    4. 4. Spotfire: Retinol’s role in embryos & vision
    5. 5. h ttp :/ re gis tration.s p otfire .com / val/ e fau lt_ e d u .as p / e d
    6. 6. NF AIFact-Finding Search S 20 08
    7. 7. NF AI Discovery Process: Task Analysis S 20 08S pecific fact finding (known-item s earch) O n wh at d ay was Barack O b am a b orn? < G oogle s u cce e d s >
    8. 8. NF AI Discovery Process: Task Analysis S 20 08S pecific fact finding (known-item s earch) O n wh at d ay was Barack O b am a b orn? < G oogle s u cce e d s >E xtended fact finding (vague query) Wh at citie s d id Joh n M cC ain live in s ince h e b e cam e a S e nator?E xploration of availability (vague res ult reques t) Wh at ge ne alogical inform ation on Barack O b am a is at th e N ational Arch ive s ?
    9. 9. NF AI Discovery Process: Task Analysis S 20 08S pecific fact finding (known-item s earch) O n wh at d ay was Barack O b am a b orn? < G oogle s u cce e d s >E xtended fact finding (vague query) Wh at citie s d id Joh n M cC ain live in s ince h e b e cam e a S e nator?E xploration of availability (vague res ult reques t) Wh at ge ne alogical inform ation on Barack O b am a is at th e N ational Arch ive s ?Open-ended brows ing and problem analys is (hidden as s umptions ) H ow h as Joh n M cC ain’s p os ition on th e e nvironm e nt ch ange d s ince 2001 ?Mis match with metadata (requires exhaus tive s earch) H ow h as Barack O b am a’s ch oice of cloth ing ch ange d d u ring h is cam p aign?
    10. 10. NF AI Discovery Process: Task Analysis S 20 08S pecific fact finding (known-item s earchE xtended fact finding (vague queryE xploration of availability (vague res ult reques tOpen-ended brows ing and problem analys is (hidden as s umptionsMis match with metadata (requires exhaus tive s earch
    11. 11. NF AI Discovery Process: Task Analysis S 20 081 -m inu te fact finding (known-item s earch S pecific E xtended fact finding (vague queryWe e ks&E xploration of availability (vague res ult reques tM onth s Open-ended brows ing and problem analys is (hidden as s umptions Mis match with metadata (requires exhaus tive s earch
    12. 12. NF AIDiscovery Process: Design Challenges S 20 08E nrich qu e ry form u lationE xp and re s u lt m anage m e ntE nab le long-te rm e ffortE nh ance collab orationD e al with s p e cial cas e s : - Le gal, p ate nt & m e d ical s e arch e s re qu ire th orou gh ne s s - P roving non-e xis te nce is d ifficu lt - O u tlie r ite m s can b e critical - Brid ging ite m s can b e critical
    13. 13. NFAIS 2011: Social Discovery• Facebook minutes exceed Google minutes
    14. 14. NFAIS 2011: Social Discovery• Facebook minutes exceed Google minutes• Social referral exceeds solitary search
    15. 15. Social Referral Exceeds Solitary Search S earch and Res cue: How to B ecome Findable and S hareable in S ocial Media h ttp :/ s e arch e ngine watch .com / / 3639969h ttp :/ u kwe b focu s .word p re s s .com / 0/ 09/ ocial-d is cove ry-is -b e ating-trad itional-s e arch / / 201 06/ if-s
    16. 16. NFAIS 2011: Social Discovery• Facebook minutes exceed Google minutes• Social referral exceeds solitary search• Ambitious challenges generate powerful collaborations
    17. 17. NFAIS 2011: Social Discovery• Facebook minutes exceed Google minutes• Social referral exceeds solitary search• Ambitious challenges generate powerful collaborations• Shift to App discovery & mobile search
    18. 18. NFAIS 2011: Social Discovery• Facebook minutes exceed Google minutes• Social referral exceeds solitary search• Ambitious challenges generate powerful collaborations• Shift to App discovery & mobile search• Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social Social
    19. 19. Discovery Process: Visual Analytics S ens e-Making Loop •Information S eeking •Information Foraging •E xploration  Ins ight •Pres ent Res ults Th om as & C ook, Ilum inating the P ath (2004) l
    20. 20. Social Discovery: New Media Lifestyle Pros umption C ycle •Producers & C ons umers •Us er Generated C ontent •C rowds ourcing •C ollective Intelligenceh ttp :/ www.s ocialtim e s .com / / 2008/ ne w-m e d ia-life cycle -s ocial-d is cove ry/ 07/
    21. 21. New Media Lifecycle The New Media Lifecycle and S ocial Dis O ve r th e p as t fe w years I have become inc reas ingly active in all p h as e s of wh at I now d e fine th e “ne w m e d ia life cycle ”. All of th e s e “tools ” th at ne w te ch nology com p anie s arecre ating are for th e m os t p art trying to m ake at le as t o ne p h as e of th is cycle m o re e fficie nt. I d e fine th e ne w m e d ia life cycle as the stage s through which ne w m e d ia typ icaly fl l ows.N ot ve ry com p le x!To e xp e ct ne w m e d ia to flow in any co ntinu o u s d ire ction is lu d icrou s b u t I h ave fo u nd th e re to b e th re e s tage s th at ne w m e d ia flo ws th rou gh . I th ink d e te rm ining a s tarting p oint ofne w m e d ia is th e s am e as d e te rm ining wh at cam e firs t, th e ch icke n o r th e e gg. As s u ch , yo u co u ld e nte r th e ne w m e d ia life cycle at any p oint d u ring one of th e following th re ep h as e s :•C onte nt C re ation – Au d io, vid e o, te xt and im age s are all typ e s o f co nte nt th at is p rod u ce d in ne w m e d ia. In contras t to d ays of old , m e d ia can now b e p rod u ce d b y anyb od y, not j s t uth e large m e d ia com p anie s .•C onte nt D iscove ry – D is co ve ry is p rob ab ly th e m os t im p o rtant p h as e o f th e life cycle fo r te ch nolo gy com p anie s as th e y are th e one s d e ve lop ing th e tools for d is cove ry.•C onte nt C onsum ption – C o nte nt can b e cons u m e r in p ractically an infinite nu m b e r of ways . Th e cons u m e r is th e one th at ch oo s e s th e m e d iu m th e y p re fe r. It can b e m ob ile p h one s ,com p u te rs , te le vis ions , s te re o s o r a nu m b e r o f oth e r m e d iu m s .O ne oth e r im p ortant th ing to note is th at th e re is no re q u ire m e nt to b e p art of th e co nte nt cre ation p h as e as a cons u m e r. S o on e no u gh conte nt cre ation will b e an activity th atp ractically e ve ry cons u m e r e ngage s in wh e th e r th e y like it or not. Th e ir activitie s will au tom atically d ictate th e cre ation o f co nte nt. F o r now th ou gh , it is s till p os s ib le to s im p ly watchwh at is going on.S oc ial Dis c overyI th ink s ocial d is cove ry is o ne o f th e m os t fas cinating p arts o f th e ne w m e d ia life cycle b e cau s e we are s o e arly in d e te rm ining th e m o s t e fficie nt way of s ocial d is cove ry. S e arch h asnow b e e n d om inate d b y G o ogle and wh ile ne w com p anie s atte m p t to attack wh at is incre as ingly b e com ing a m o no p oly, m os t com p anie s h ave re alize d th at th e s p ace of s ociald is cove ry h as ye t to d e clare a winne r.Wh at is s ocial d is cove ry e xactly? We ll s ocial d is co ve ry is th e usage of social tool to find re l vant conte nt. A s ocial too l is a syste m which e nab l s the sharing of conte nt with othe r s e euse rs. Th at conte nt can b e as s im p le as th e activitie s u s e rs are e ngage d in s u ch as “N ick j s t p laye d M o u s e H u nt on F ace b o ok” to th e m od ification of m y s ocial p rofile to th e s h aring uof a vid e o, im age or s ong th at I th ou gh t was good .S om e h ave s u gge s te d th at th e cu rre nt b attle on th e s ocial we b is ove r th e m o s t e fficie nt ne ws fe e d . I th ink it s h ou ld b e fram e d ins te ad as th e b attle ove r m aking th e m os t e fficie nts ocial d is cove ry tool. F e e d s are s im p ly o ne way of d is p laying conte nt. It m ay ve ry we ll b e th at fe e d s are th e m o s t e ffe ctive way of d is p laying th at conte nt b u t I th ink th is is s till u p ford e b ate .O ve r th e p as t fe w we e ks as m y d igital s o cial activity h as b e com e s tre tch e d acro s s F rie nd F e e d , Twitte r, P lu rk, F ace b oo k and o th e r p lace s , I h ave b e gu n to as k m ys e lf wh e re th e re alvalu e is in any of th e s e th ings . Th e re ality is th at a valu ab le com m u nity th at I fe e l conne cte d to is m o s t im p ortant. As we s trive to b u ild ne w te ch nologie s th at h e lp u s conne ct m oree fficie ntly I th ink in th e e nd all th at m atte rs is th e com m u nity.E m ail continu e s to b e an e xtre m e ly b as ic form of co m m u nication b u t wh at m ake s it s o p o we rfu l is th at I can acce s s anyb od y via e m ail. E ve n th ou gh it h e lp s , it d oe s n’t re ally m atte r ifyou r te ch nology is th e m os t e fficie nt. Wh at m atte rs m o re is th at you r te ch nology h as a com m u nity b acking it. As th e e arly ad op te rs ch as e afte r th e late s t s h iny s ocial ob j ct trying to ed is s e ct th e p ros and cons o f e ach fe atu re , I’d wait to s e e wh e re th e re al co m m u nitie s form .In m y own op inion, wh ile s ocial d is cove ry h as ye t to b e m o ne tize d e ffe ctive ly, s ocial d is cove ry cu rre ntly p ro vid e s th e gre ate s t op p ortu nity for b re akth rou gh growth . h ttp :/ www.s ocialtim e s .com / / 2008/ ne w-m e d ia-life cycle -s ocial-d is cove ry/ 07/
    22. 22. Social Bookmarking: del.icio.us & connotea
    23. 23. Collaboration: Tagging & voting
    24. 24. Treemap: Digg Overview www.hivegroup.com
    25. 25. Chomp: App Discovery
    26. 26. Blekko:
    27. 27. YAHOO! Answers
    28. 28. Wikia Answers
    29. 29. QuoraS e arch qu e s tion top icsR e ad qu e s tionsR e ad ans we rs from nam e d s ou rce sR ate & contrib u te
    30. 30. VIVOweb: Enabling Networking of Scientists
    31. 31. Biodiversity: Encyclopedia of Life eol.org
    32. 32. NASA Clickworkers: Crowdsource Science
    33. 33. Citizen Science Alliance
    34. 34. Collaboratories: Discovery CommunitiesBos e t al., O ls on, G ary M ., Zim m e rm an, Ann, & Bos , N ath an. (2008) S cie ntific C olab oration on the Inte rne t. MIT P re ss. l
    35. 35. Health, Healthcare & Wellness
    36. 36. Social Marketplace: Mechanical Turk
    37. 37. Social Challenge: Netflix Prize
    38. 38. Social Search/Discovery: Active & Passive
    39. 39. Social Challenge: Innocentive
    40. 40. TopCoder: Asking for Programming Help• Linux, Mozilla, Apache,...• CrisisCamp, Sahana, Hackathons, ....
    41. 41. Social DiscoverySocialDiscovery Create Capacity Seek SolutionIndividual Tag, Comment, Ask questions, Rate, Review, Offer challenge, Summarize Request collaboration, Seek expertsCommunity Establish thesauri, Give answers, Prepare catalogs, Respond to challenge, Aggregate knowledge, Discuss alternatives, Organize resources Offer advice
    42. 42. From Reader to Leader: M otivating Te ch nology-M e d iate d S ocial P articip ationAll Reader Contributor Collaborator ` LeaderUsers P re e ce & S h ne id e rm an, AIS Trans. H um an-C om p ute r Inte raction1 (1 ), 2009 aisel.aisnet.org/thci/vol1/iss1/5/
    43. 43. Motivating Readers Usability SociabilityInteresting & relevant content presented in Encouragement by friends, family, attractive, well-organized layouts respected authorities, advertisingFrequently updated content with Repeated visibility in online, print, highlighting to encourage return visits television, other mediaSupport for newcomers: tutorials, animated Understandable norms & policies demos, FAQs, help, mentors, contactsClear navigation paths  Sense of belonging: recognition of sense of mastery and control familiar people & activitiesUniversal usability: novice/expert, small/large Charismatic leaders with visionary display, slow/fast network, multilingual, goals support for users with disabilitiesInterface design features to support reading, Safety & privacy browsing, searching, sharing
    44. 44. Motivating C ontributors Usability SociabilityLow threshold interfaces to encourage Support for legitimate peripheral small contributions (no login) participationHigh ceiling interfaces that allow large Chance to build reputation over time frequent contributions while performing satisfying tasksVisibility for users’ contributions & impact - Recognition for the highest quality aggregated over time & quantity of contributionsVisibility of ratings & comments Recognition of a person’s specific expertiseTools to undo vandalism, limit malicious Policies & norms for contributions users, control pornography & libel
    45. 45. Motivating C ollaborators Usability Sociability Ways to locate relevant & competent Atmosphere of empathy & trust that individuals to form collaborations promotes belonging to the community & willingness to work within groups to produce something larger Tools to collaborate: communicate Altruism: a desire to support the within groups, schedule projects, community, desire to give back, assign tasks, share work products, willingness to reciprocate request assistance Visible recognition collaborators, e.g. Ways to develop a reputation for authorship, citations, links, themselves & their collaborators; acknowledgements develop & maintain status within group Ways to resolve differences Respect for status within the community (e.g. voting), mediate disputes & deal with unhelpful collaborators
    46. 46. Motivating Leaders Usability SociabilityLeaders are given higher visibility & Leadership is valued and given an their efforts are highlighted, sometimes honored position & expected to meet with historical narratives, special expectations tributes, or rewardsLeaders are given special powers, e.g. Respect is offered for helping others & to promote agendas, expend resources, dealing with problems or limit malicious usersMentorship efforts are visibly celebrated, Mentors are cultivated & encouraged e.g. with comments from mentees
    47. 47. NodeXL: Network Overview for Discovery & Exploration in Excelwww.codeplex.com/nodexl
    48. 48. NodeXL:Network Overview for Discovery & Exploration in Excel www.codeplex.com/nodexl
    49. 49. NodeXL: Import Dialogs www.codeplex.com/nodexl
    50. 50. Tweets at #WIN09 Conference: 2 groups
    51. 51. Tweets at #NFAIS11 Conference: Sunday S ize b y Be twe e nne s s C e ntrality
    52. 52. Tweets at #NFAIS11 Conference: Sunday
    53. 53. Tweets at #NFAIS11 Conference: Monday S ize b y Be twe e nne s s C e ntrality
    54. 54. Tweets at #NFAIS11 Conference: Monday S ize b y Be twe e nne s s C e ntrality
    55. 55. Tweets at #NFAIS11 Conference: Monday S ize b y Be twe e nne s s C e ntrality, C olor b y C lu s te r
    56. 56. WWW2010 Twitter Community
    57. 57. Tweets for #HCI: 2 groups
    58. 58. Kodak Twitter Community www.cod e p le x.com / e xl/ nod
    59. 59. Oil Spill Twitter Community www.cod e p le x.com / e xl/ nod
    60. 60. CHI2010 Twitter Community www.cod e p le x.com / e xl/ nod
    61. 61. NodeXL: HIPAA, F-R layout, Size by Followers www.codeplex.com/nodexl
    62. 62. NodeXL: HIPAA, H-K layout, extract smalls, size by Tweets www.codeplex.com/nodexl
    63. 63. NodeXL: HIPAA, H-K, Size by Betweenness Centrality www.codeplex.com/nodexl
    64. 64. NodeXL: HIPAA, H-K, Size by Betweenness Centrality www.codeplex.com/nodexl
    65. 65. NodeXL: HIPAA, H-K, Size by Betweenness Centrality www.codeplex.com/nodexl
    66. 66. NodeXL: HIPAA, H-K, Size by Betweenness Centrality www.codeplex.com/nodexl
    67. 67. Flickr clusters for “mouse” C omputer Mickey A nimal
    68. 68. Flickr networks
    69. 69. Analyzing Social Media Networks with NodeXLI. Getting S tarted with A nalyzing S ocial Media Networks 1 . Introd u ction to S ocial M e d ia and S ocial N e tworks 2. S ocial m e d ia: N e w Te ch nologie s of C ollab oration 3. S ocial N e twork Analys isII. NodeXL Tutorial: Learning by Doing 4. Layou t, Vis u al D e s ign & Lab e ling 5. C alcu lating & Vis u alizing N e twork M e trics 6. P re p aring D ata & F ilte ring 7. C lu s te ring &G rou p ingIII S ocial Media Network A nalys is C as e S tudies 8. E m ail 9. Th re ad e d N e tworks 1 0. Twitte r 1 1 . F ace b ook 1 2. WWW 1 3. F lickr 1 4. You Tu b e 1 5. Wiki N e tworks www.elsevier.com/wps/find/bookdescription.cws_home/723354/description
    70. 70. Social Media Research FoundationR e s e arch e rs wh o want to - cre ate op e n tools - ge ne rate & h os t op e n d ata - s u p p ort op e n s ch olars h ipM ap , m e as u re & u nd e rs tand s ocial m e d iaS u p p ort tool p roj cts to e colle ction, analyze & vis u alize s ocial m e d ia d ata. smrfoundation.org
    71. 71. UN Millennium Development GoalsTo b e ach ie ve d b y 201 5 • E rad icate e xtre m e p ove rty and h u nge r • Ach ie ve u nive rs al p rim ary e d u cation • P rom ote ge nd e r e qu ality and e m p owe r wom e n • R e d u ce ch ild m ortality • Im p rove m ate rnal h e alth • C om b at H IV/ S , m alaria and oth e r d is e as e s AID • E ns u re e nvironm e ntal s u s tainab ility • D e ve lop a glob al p artne rs h ip for d e ve lop m e nt
    72. 72. 28th Annual Symposium May 25-26, 2011 www.cs.umd.edu/hcil
    73. 73. Social Search/Discovery: Active&Passive• Create content: scanned & born digital • Individual & group efforts• Improve info quality • consistency, clarity, completeness • currency, sourced, linked• Organize data: taxonomies, tagging, rating• Common queries, results ranking, query refinement• Interpreting & organizing results
    74. 74. S ocial m e d ia h as fu nd am e ntally ch ange d th e way th at p e op le d is cove r p rod u cts ,s e rvice s and conte nt. Its no longe r s im p ly ab ou t th e old m e th od of p rod u ct, p rice andp lace m e nt, its ab ou t re le vance , valu e and virality. As th e e ffe ctive ne s s of trad itionalonline m arke ting continu e s to d e cline , h ow can you b e s u re th at you r m e s s age is notonly ab s orb e d , b u t e m b race d , p as s e d along and vie we d as valu ab le ? Th e re h avealre ad y b e e n p le nty of s tu d ie s cond u cte d th at s h ow u s th atword of m ou th is th e m os t tru s te d s ou rce of inform ation for inte rne t u s e rs . Its p rob ab lyfair to s ay th at word of m ou th is th e m os t tru s te d m e th od of d is cove ry and influ e nce inge ne ral. Im m u ch m ore like ly to go s e e a m ovie if a good frie nd te lls m e Ill like itve rs u s s e e ing an ad . h ttp :/ h e avyb agm e d ia.com / log/ / b 2008/ 1 / m axim izing-s ocial-d is cove ry-op p ortu nitie s -o n-th e -s ocial-we b 1 28/ “N oovo is a social d iscove ry p l atform that he l s p use rs contrib ute , find and share highl re l vant y e conte nt in the sim p l st p ossib l way,” e e
    75. 75. Social DiscoverySocialDiscovery Create Capacity Seek SolutionIndividual Tag, Comment, Ask questions, Rate, Review, Offer challenge, Summarize Request collaboration, Seek expertsCommunity Establish thesauri, Give answers, Prepare catalogs, Discuss alternatives, Aggregate knowledge, Respond to challenge, Organize resources Offer adviceS ocial Dis covery in an Information A bundant World Be n S h ne id e rm an ben@cs.umd.edu Twitter @benbendc U nive rs ity of M aryland , F ou nd ing D ire ctor (1 983-2000), H u m an-C om p u te r Inte raction Lab P rofe s s or, D e p artm e nt of C om p u te r S cie nce , M e m b e r, Ins titu te fo r Ad vance d C om p u te r S tu d ie s M ile s C onrad Award Le ctu re N F AIS , F e b ru ary 28, 201 1
    76. 76. Asking for Help• Requests to your community• Posts to discussion groups• Questions to free answer services• Questions to paid answer services • Mechanical Turk • Quora• Innocentive
    77. 77. Forming Collaborations• Find fellow searchers with shared interests• Hire staff to follow your leadership• Recruit domain experts to work with you• Hire team to provide diverse skills
    78. 78. Social Search/Discovery: Active & Passive• Early systems: GroupSearch, CoSearch, Ariadne• Tagging: Digg, Connotea• Rating, Ranking, Reviewing• Social Search: Wikia Search• Facebook & Twitter requests
    79. 79. U.S. Library of Congress• Scholars, Journalists, Citizens• Teachers, Students
    80. 80. Visible Human Explorer (NLM)• Doctors• Surgeons• Researchers• Students
    81. 81. NASA Environmental Data• Scientists• Farmers• Land planners• Students
    82. 82. Bureau of the Census • Economists, Policy makers, Journalists • Teachers, Students
    83. 83. NSF Digital Government Initiative • Find what you need • Understand what you FindCensus,NCHS,BLS, EIA, www.ils.unc.edu/govstat/NASS, SSA
    84. 84. Recovery.gov
    85. 85. Information Visualization• Visual bandwidth is enormous • Human perceptual skills are remarkable • Trend, cluster, gap, outlier... • Color, size, shape, proximity...• Three challenges • Meaningful visual displays of massive data • Interaction: widgets & window coordination • Process models for discovery:
    86. 86. ManyEyes: A web sharing platform http://manyeyes.alphaworks.ibm.com/manyeyes

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