Social Web 2.0 Implications of Social Technologies for Digital Media Shelly Farnham, Ph.D. Com 597 Winter 2007
Week 5 <ul><ul><ul><li>Community </li></ul></ul></ul><ul><ul><ul><li>Reputation Systems </li></ul></ul></ul><ul><ul><ul><l...
Community <ul><li>&quot;I define &quot;community&quot; as networks of interpersonal ties that provide sociability, support...
Socio-Cultural Context <ul><li>Social dissolution/individualism, lack of traditional community </li></ul><ul><ul><li>Bob P...
Online Communities <ul><li>84% of Internet users in U.S. participated in an online community  </li></ul><ul><li>79% regula...
Providing Value in Terms of User Goals <ul><li>Informational </li></ul><ul><ul><ul><li>Learn about homes to facilitate buy...
Providing Value through Community <ul><li>Providing value through access to people.  </li></ul>Common  purpose, Identity, ...
Why Community Online? <ul><li>Weak ties, specialized knowledge or circumstances </li></ul><ul><ul><li>Need sense of shared...
The Virtual Third Place
The Importance of Place <ul><ul><li>Places – specific locations in space that provide an anchor and a meaning to who we ar...
A Sense of Place <ul><li>Personal identity </li></ul><ul><li>Community </li></ul><ul><li>Past and future </li></ul><ul><li...
 
Netville Study -- Enabling Neighboring through Technology <ul><li>If neighborhood given the opportunity to interact/exchan...
Netville Study Results <ul><li>More likely to: know each others’ name, talk on a regular basis, visit each other </li></ul...
What did they talk about? <ul><li>Discuss interests of common concern (home construction) </li></ul><ul><li>Requests for h...
Increased “Eyes on the Street” <ul><li>Exchange greetings </li></ul><ul><li>See what is happening </li></ul><ul><li>Keep w...
2001 MSN Communities Analysis <ul><li>What are people using discussion groups for? </li></ul>
2001 MSN Communities Analysis <ul><li>How does type of group impact measures of health? </li></ul>
Online Support Communities <ul><li>Information flow, exchange, storytelling </li></ul><ul><li>Group problem solving, insig...
Online Community General Concerns <ul><li>Access </li></ul><ul><li>Ease of use </li></ul><ul><li>Fragmentation </li></ul><...
Mailing Lists!
Online Community Design <ul><li>Group vs. network form of association </li></ul><ul><ul><li>Sense of boundary, you are a m...
Designing for Sociability <ul><ul><li>Clearly articulated shared purpose </li></ul></ul><ul><ul><li>Governence, protocols,...
Fostering cooperation <ul><li>Social dilemma/tragedy of the commons </li></ul><ul><ul><li>Individual gain vs. collective g...
Discovery/Entry Points <ul><li>Search google  </li></ul><ul><li>Search in system by topic  and  by person: important to fi...
Discovery/Entry Points Importance of First Impressions <ul><li>Need to see there is social interaction (social translucenc...
Communities as intervention <ul><li>The minimal “intervention”: </li></ul><ul><ul><li>Define community boundaries </li></u...
Measuring Healthy Community <ul><li>Health =  </li></ul><ul><li>Function ((presence, content creation, interactivity) * re...
Instrumentation for Social Metadata <ul><li>Treat each behavior as unit of use and record </li></ul><ul><ul><li>User UserB...
Trust and Reputation Systems
Trust <ul><li>A psychological state comprising the intention to accept vulnerability based upon positive expectation of th...
Stages of Trust in Site <ul><li>Preliminary assessment (heuristic, affective) </li></ul><ul><ul><li>Look and feel of site ...
Trust in Web Sites Study <ul><li>Study of 2684 participants examining100 sites, making credibility evaluations </li></ul>F...
Trusted Sites
Content Trust <ul><li>Factors that impact content trust </li></ul>Gil & Arch 2006
Content Trust and Related Entities Gil & Arch 2006
Reputation Systems Online <ul><li>Online interactions outside usual social constraints (disembodied) </li></ul><ul><ul><li...
Reputation Systems  -- Key Components <ul><li>Long-lived entities that inspire expectation of future interaction </li></ul...
Types of Ratings <ul><li>Implicit Ranking </li></ul><ul><ul><li>Time in system, frequency of visits, frequency of posts, e...
Importance of Types of Reputation Information From Jensen et. al 2002, N = ~330 Decision task: Study of use of reputation ...
Importance of Types of Reputation Information From Jensen et. al 2002
Ebay
Ebay
Kuro5hin
Kuro5hin
Kuro5hin
Slashdot
Slashdot
Netscan
Netscan
Netscan
Netscan
Netscan <ul><li>Behavior of active users in Netscan (top 10%), from Brush et al. 2005  </li></ul>
WholeNote
Wholenote Ratings
Design Implications <ul><li>“ Look and feel” matters, at-a-glance judgments impact continuing analysis </li></ul><ul><li>E...
Opportunities for Innovation <ul><li>Assessing a person’s/story’s reputation with “others like me” – localized reputation ...
Web 2.0 Revenue Models
Mergers and Acquisitions <ul><li>Startups get purchased by larger organizations </li></ul><ul><li>With minimal expenditure...
 
Advertising Provide  Value Advertising Revenue User  Traffic Are we providing valuable content that is driving traffic tha...
Google Analytics
Online Advertising Lingo <ul><li>Page views </li></ul><ul><li>CPM </li></ul><ul><ul><li>Cost per mille (thousand) </li></u...
Google analytics
Alexa Ranking Info
Subscription Services <ul><li>Fixed rate </li></ul><ul><ul><li>Per user per month </li></ul></ul><ul><li>Variable rate </l...
Transaction Commissions <ul><li>Trading fees </li></ul><ul><ul><li>Ebay auctions </li></ul></ul><ul><ul><li>Paypal </li></...
Successful Businesses <ul><li>Keeping market share, critical mass </li></ul><ul><li>Patented techniques </li></ul><ul><ul>...
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Social Web 2.0 Class Week 5: Community, Reputation Systems

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Week 5 slides from the class "Social Web 2.0" I taught at the University of Washington's Masters in Communication program in 2007. Most of the content is still very relevant today. Topics: Community, Reputation Systems

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Social Web 2.0 Class Week 5: Community, Reputation Systems

  1. 1. Social Web 2.0 Implications of Social Technologies for Digital Media Shelly Farnham, Ph.D. Com 597 Winter 2007
  2. 2. Week 5 <ul><ul><ul><li>Community </li></ul></ul></ul><ul><ul><ul><li>Reputation Systems </li></ul></ul></ul><ul><ul><ul><li>Web 2.0 Revenue Models </li></ul></ul></ul>
  3. 3. Community <ul><li>&quot;I define &quot;community&quot; as networks of interpersonal ties that provide sociability, support, information, a sense of belonging, and social identity.” </li></ul><ul><ul><ul><ul><ul><li>Barry Wellman (2001). </li></ul></ul></ul></ul></ul><ul><li>“ A group of people who share a common interest or purpose; who have the ability to get to know each other better over time. There are two pieces to that definition. That second piece — getting to know each other better over time — means that there needs to be some mechanism of identity and communication.” </li></ul><ul><li>Amy Jo Kim (2001) </li></ul><ul><ul><li>“ 1) It is interactive and built on the concept of many-to-many communications ...; </li></ul></ul><ul><ul><li>2) It is designed to attract and retain community members who become more than superficially involved in community events ... and ... are able to make new friends through the community; </li></ul></ul><ul><ul><li>3) It has a single defining focus; ... (that) gives them a reason to return; </li></ul></ul><ul><ul><li>4) It provides services to community members, ... that meet community member needs; </li></ul></ul><ul><ul><li>5) It has, or has the potential to develop, a strong commercial element...“ </li></ul></ul><ul><ul><ul><li>From &quot;Towntalk ,&quot; a listserv on online community </li></ul></ul></ul>
  4. 4. Socio-Cultural Context <ul><li>Social dissolution/individualism, lack of traditional community </li></ul><ul><ul><li>Bob Putnam, “Bowling Alone” </li></ul></ul><ul><li>Neo-tribalism </li></ul><ul><li>Use of Internet to access people, coordinate </li></ul>
  5. 5. Online Communities <ul><li>84% of Internet users in U.S. participated in an online community </li></ul><ul><li>79% regularly with one particular group </li></ul><ul><li>26% to get in touch with local groups </li></ul>2001 Pew
  6. 6. Providing Value in Terms of User Goals <ul><li>Informational </li></ul><ul><ul><ul><li>Learn about homes to facilitate buying, selling, and improving homes. </li></ul></ul></ul><ul><li>Value expression </li></ul><ul><ul><ul><li>Express my identity around homes. I like my house. Where I live expresses something about me. I like my agent, and I like my neighborhood. </li></ul></ul></ul><ul><li>Social Capitol -- Developing relationships I can leverage later </li></ul><ul><ul><ul><li>Learn about, get referrals to, and meet people related to homes (consumers, agents, neighbors, other vendors). </li></ul></ul></ul><ul><ul><ul><li>Make friends/friendly acquaintances, find similar others, be liked, have a respected reputation, be part of a group. </li></ul></ul></ul><ul><li>Collective action </li></ul><ul><ul><ul><li>Find people with similar interests and organize into groups that can take action around the group’s agenda. (e.g., neighborhood watch.) </li></ul></ul></ul><ul><li>Other </li></ul><ul><ul><ul><li>Entertainment: have fun </li></ul></ul></ul><ul><ul><ul><li>Self-efficacy/mastery </li></ul></ul></ul>
  7. 7. Providing Value through Community <ul><li>Providing value through access to people. </li></ul>Common purpose, Identity, Interactivity User Traffic Social Capitol
  8. 8. Why Community Online? <ul><li>Weak ties, specialized knowledge or circumstances </li></ul><ul><ul><li>Need sense of shared understanding/frustration </li></ul></ul><ul><ul><li>Similar others hard to find face to face </li></ul></ul><ul><li>Continuous support </li></ul><ul><ul><li>Sometimes face to face people not in similar situation get bored with your preoccupation, or just not available all the time </li></ul></ul><ul><li>Geographical isolation </li></ul><ul><li>Decreased mobility </li></ul><ul><ul><li>increased use for types of problems that impact mobility e.g. knee surgery </li></ul></ul><ul><li>Social stigmatization </li></ul>
  9. 9. The Virtual Third Place
  10. 10. The Importance of Place <ul><ul><li>Places – specific locations in space that provide an anchor and a meaning to who we are. </li></ul></ul><ul><ul><li>Orem & Chen, 2003 </li></ul></ul><ul><ul><li>Proximity primary determinant of liking, through repeated exposure and opportunities for interaction. </li></ul></ul><ul><ul><li>Social Psychology </li></ul></ul><ul><ul><li>The great good place, neighborhood hangouts and haunts key to development of community. Enabling serendipitous interactions. </li></ul></ul><ul><ul><li>Ray Oldenburg, 1989 </li></ul></ul><ul><ul><li>“ Eyes on the street.” Urban planner advocating dense, mixed-use neighborhoods, fostering vibrant urban community and increased security. </li></ul></ul><ul><ul><li>Jacobs, 1961 </li></ul></ul>
  11. 11. A Sense of Place <ul><li>Personal identity </li></ul><ul><li>Community </li></ul><ul><li>Past and future </li></ul><ul><li>Being at home </li></ul><ul><li>“ Place is a special and unique location…notable for the fact that the regular activities of human beings occur there. Moreover, because it is a site of such activities, and all which they entail, it may furnish the basis for our sense of identity, as human beings, as well as for our sense of connection to other human beings, in other words, our sense of community. Place, in other words, is that special site, or sites, in space where people live and work, and where, therefore, they are likely to form intimate and enduring connections.” Orum & Chen p. 15. </li></ul>
  12. 13. Netville Study -- Enabling Neighboring through Technology <ul><li>If neighborhood given the opportunity to interact/exchange information on the Internet, are they more like to develop neighborhood ties? </li></ul><ul><li>Provided high speed internet to 64 out of 109 neighboring homes, two years 1996-1998, with neighborhood email list </li></ul>Hampton & Wellman, City and Communication: 2:4 December 2003
  13. 14. Netville Study Results <ul><li>More likely to: know each others’ name, talk on a regular basis, visit each other </li></ul><ul><li>Reported familiarity online facilitated meeting face to face </li></ul><ul><li>Block parties, community gatherings </li></ul><ul><li>Collective action against the developer </li></ul>Barry Wellman, Communications of the ACM, 2005, 45, 5. p. 94
  14. 15. What did they talk about? <ul><li>Discuss interests of common concern (home construction) </li></ul><ul><li>Requests for help or advise (e.g. recommendation for a local doctor) </li></ul><ul><li>Advertise garage sales, local crafts/services </li></ul><ul><li>Invitations to community events </li></ul><ul><li>Messages offering such things as job info </li></ul>
  15. 16. Increased “Eyes on the Street” <ul><li>Exchange greetings </li></ul><ul><li>See what is happening </li></ul><ul><li>Keep watchful eye on children’s activities </li></ul>
  16. 17. 2001 MSN Communities Analysis <ul><li>What are people using discussion groups for? </li></ul>
  17. 18. 2001 MSN Communities Analysis <ul><li>How does type of group impact measures of health? </li></ul>
  18. 19. Online Support Communities <ul><li>Information flow, exchange, storytelling </li></ul><ul><li>Group problem solving, insights </li></ul><ul><li>Trusted sources </li></ul><ul><li>Decrease worry, anxiety, depression </li></ul><ul><li>Health: </li></ul><ul><ul><li>Improve patient compliance with treatment </li></ul></ul><ul><ul><li>Info seeking improve decision-making </li></ul></ul><ul><ul><ul><li>go to doctor able to talk intelligently about problems, have language for it etc. </li></ul></ul></ul><ul><ul><ul><li>assess quality of their care </li></ul></ul></ul><ul><ul><li>From Maloney-Krichmar & Preece, In Kneeboard, informational vs. emotional support: giving info (33.5%), opinions (17.4%), suggestions (7.3%), socio-emotional (25.8%) </li></ul></ul>
  19. 20. Online Community General Concerns <ul><li>Access </li></ul><ul><li>Ease of use </li></ul><ul><li>Fragmentation </li></ul><ul><li>Authentication/accountability </li></ul><ul><li>Commercialism and privacy </li></ul><ul><li>Safety and security </li></ul><ul><ul><li>Bad behavior in online spaces </li></ul></ul><ul><ul><li>Misappropriation of personal info </li></ul></ul><ul><li>Misinformation </li></ul>
  20. 21. Mailing Lists!
  21. 22. Online Community Design <ul><li>Group vs. network form of association </li></ul><ul><ul><li>Sense of boundary, you are a member or not </li></ul></ul><ul><li>Need for active communication </li></ul><ul><ul><li>Message board/mailing list </li></ul></ul><ul><ul><li>Commenting </li></ul></ul><ul><ul><li>Possible gradation from broadcast to one on one, public to private </li></ul></ul><ul><li>Narrow focus vs. broad </li></ul><ul><ul><li>Tend to succeed with dense groups of similar others </li></ul></ul><ul><ul><li>Orient similar people around central location (FAQ/wiki/discussion board for each health issue) </li></ul></ul><ul><li>Light moderation/hosting of spaces </li></ul><ul><li>Enabling transition from newbie to mentor </li></ul><ul><ul><li>Passing on “host” role </li></ul></ul><ul><ul><li>Awareness through activity metrics </li></ul></ul><ul><ul><ul><li>Time in space </li></ul></ul></ul><ul><ul><ul><li>Message activity </li></ul></ul></ul><ul><ul><ul><li># of stories/lessons posted </li></ul></ul></ul>
  22. 23. Designing for Sociability <ul><ul><li>Clearly articulated shared purpose </li></ul></ul><ul><ul><li>Governence, protocols, rituals </li></ul></ul><ul><ul><li>People </li></ul></ul><ul><ul><ul><li>Roles </li></ul></ul></ul><ul><ul><ul><ul><li>Moderators </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Experts </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Lurkers </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Approx 1% leaders, 19% participate, 80% lurkers </li></ul></ul></ul></ul><ul><ul><ul><li>Size </li></ul></ul></ul><ul><ul><ul><ul><li>Critical mass: number of people needed to make a community useful </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Too few not enough, too many overwhelmed </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Discussion groups: 25 active participants take up all the air </li></ul></ul></ul></ul>
  23. 24. Fostering cooperation <ul><li>Social dilemma/tragedy of the commons </li></ul><ul><ul><li>Individual gain vs. collective good </li></ul></ul><ul><li>Increasing cooperation </li></ul><ul><ul><li>Will meet again </li></ul></ul><ul><ul><li>Identification of behavior </li></ul></ul><ul><ul><li>Record of past behavior </li></ul></ul>
  24. 25. Discovery/Entry Points <ul><li>Search google </li></ul><ul><li>Search in system by topic and by person: important to find similar others </li></ul><ul><ul><li>Search/show relevant demo factors (SES indicators through job, college…) </li></ul></ul><ul><ul><li>Related interests </li></ul></ul><ul><li>Entry through invitation to join </li></ul><ul><ul><li>Invite friends/family/cohorts to view stories etc. </li></ul></ul><ul><li>Link off of other community sites </li></ul><ul><li>Banner ads </li></ul>
  25. 26. Discovery/Entry Points Importance of First Impressions <ul><li>Need to see there is social interaction (social translucence) </li></ul><ul><ul><li>exchange/reciprocity shows interpersonal trust </li></ul></ul><ul><ul><li>Shadows of social behavior: X members, amount recent activity, new story posts, best story </li></ul></ul><ul><li>Site trust building: </li></ul><ul><ul><li>Post self-regulating policies </li></ul></ul><ul><ul><ul><li>Privacy and security </li></ul></ul></ul><ul><ul><ul><li>Editorial and advertising </li></ul></ul></ul><ul><ul><li>Source disclosure </li></ul></ul><ul><ul><li>Third party seal </li></ul></ul><ul><ul><li>Branding </li></ul></ul>
  26. 27. Communities as intervention <ul><li>The minimal “intervention”: </li></ul><ul><ul><li>Define community boundaries </li></ul></ul><ul><ul><ul><li>Tapping into personal identity, social identity </li></ul></ul></ul><ul><ul><li>Enable conversation </li></ul></ul><ul><li>Assessment: </li></ul><ul><ul><li>Measure community growth, participation </li></ul></ul><ul><ul><li>Impact on neighborhood </li></ul></ul>
  27. 28. Measuring Healthy Community <ul><li>Health = </li></ul><ul><li>Function ((presence, content creation, interactivity) * recency * longevity) </li></ul><ul><li>User presence: </li></ul><ul><ul><li>Many active people in neighborhood </li></ul></ul><ul><ul><li>Recency </li></ul></ul><ul><ul><li>Longevity in system </li></ul></ul><ul><li>Content creation: </li></ul><ul><ul><li>Daily posts/comments/tags </li></ul></ul><ul><ul><li>Rich customization of profiles </li></ul></ul><ul><li>Interactivity: </li></ul><ul><ul><li>Visiting a lot of other people’s pages </li></ul></ul><ul><ul><li>Long discussion threads </li></ul></ul>
  28. 29. Instrumentation for Social Metadata <ul><li>Treat each behavior as unit of use and record </li></ul><ul><ul><li>User UserBehavior Timestamp BehaviorContext BehaviorDetails </li></ul></ul><ul><li>Aggregate info for sorting etc. </li></ul><ul><li>Always retain original data for later analysis/algorithm development </li></ul>
  29. 30. Trust and Reputation Systems
  30. 31. Trust <ul><li>A psychological state comprising the intention to accept vulnerability based upon positive expectation of the intentions or behavior of another </li></ul><ul><ul><li>Process-based (past history of interaction) </li></ul></ul><ul><ul><li>Character-based (social similarity) </li></ul></ul><ul><ul><li>Institution-based </li></ul></ul><ul><li>Entity (person, agent) vs content trust </li></ul><ul><li>Transitivity </li></ul><ul><ul><li>Trust in performance (less so) </li></ul></ul><ul><ul><li>Trust in belief (more so) </li></ul></ul>
  31. 32. Stages of Trust in Site <ul><li>Preliminary assessment (heuristic, affective) </li></ul><ul><ul><li>Look and feel of site </li></ul></ul><ul><ul><li>Branding, familiar, trusted logos etc. </li></ul></ul><ul><li>In-depth evaluation of information (analytic) </li></ul><ul><ul><li>Quality of information </li></ul></ul><ul><ul><li>Personalization of advice, given by similar others </li></ul></ul><ul><li>Long-term relationship with site </li></ul>From Sillence et al. 2004
  32. 33. Trust in Web Sites Study <ul><li>Study of 2684 participants examining100 sites, making credibility evaluations </li></ul>Fogg et al. 2003
  33. 34. Trusted Sites
  34. 35. Content Trust <ul><li>Factors that impact content trust </li></ul>Gil & Arch 2006
  35. 36. Content Trust and Related Entities Gil & Arch 2006
  36. 37. Reputation Systems Online <ul><li>Online interactions outside usual social constraints (disembodied) </li></ul><ul><ul><li>Identified behavior </li></ul></ul><ul><ul><li>History of behavior over time </li></ul></ul><ul><ul><li>Social context: face-to-face increases normative behavior </li></ul></ul><ul><li>People *will* break trust if not held accountable/ prosocial norms not activated by presence of others </li></ul><ul><li>Reputation </li></ul><ul><ul><li>History of past interactions informs current expectation of reciprocity or retaliation in future </li></ul></ul><ul><ul><li>Accountability, trust </li></ul></ul>
  37. 38. Reputation Systems -- Key Components <ul><li>Long-lived entities that inspire expectation of future interaction </li></ul><ul><li>Capture and distribution of feedback about current interactions </li></ul><ul><li>Use of feedback to guide trust decisions </li></ul><ul><li>Issues: </li></ul><ul><ul><li>Low incentive to provide feedback </li></ul></ul><ul><ul><li>People reluctant to provide negative feedback </li></ul></ul><ul><ul><li>Ensuring honest reports </li></ul></ul>
  38. 39. Types of Ratings <ul><li>Implicit Ranking </li></ul><ul><ul><li>Time in system, frequency of visits, frequency of posts, etc </li></ul></ul><ul><li>Explicit Rating </li></ul><ul><ul><li>Weighted average, explicit rating of object of interest </li></ul></ul><ul><li>Collaborative filtering </li></ul><ul><ul><li>People with similar rating patterns rate this highly, so you will probably like </li></ul></ul><ul><ul><li>Assumes high variability in preferences </li></ul></ul><ul><li>Peer-based </li></ul><ul><ul><li>Filter implicit/explicit ratings by relevance to self in network (e.g. friend of friend) </li></ul></ul>
  39. 40. Importance of Types of Reputation Information From Jensen et. al 2002, N = ~330 Decision task: Study of use of reputation information to inform choice about whom to interact with
  40. 41. Importance of Types of Reputation Information From Jensen et. al 2002
  41. 42. Ebay
  42. 43. Ebay
  43. 44. Kuro5hin
  44. 45. Kuro5hin
  45. 46. Kuro5hin
  46. 47. Slashdot
  47. 48. Slashdot
  48. 49. Netscan
  49. 50. Netscan
  50. 51. Netscan
  51. 52. Netscan
  52. 53. Netscan <ul><li>Behavior of active users in Netscan (top 10%), from Brush et al. 2005 </li></ul>
  53. 54. WholeNote
  54. 55. Wholenote Ratings
  55. 56. Design Implications <ul><li>“ Look and feel” matters, at-a-glance judgments impact continuing analysis </li></ul><ul><li>Expose “related entities” around any content, with indicators of credibility </li></ul><ul><li>Filter both content and reputation metrics by relevance to self -- emphasizing similarity </li></ul><ul><ul><li>Often reduced overall average ratings the more information is exposed (voice, picture, profile information): indication of increased discrimination between good/bad, relevant content </li></ul></ul><ul><li>Include both implicit and explicit ratings/rankings </li></ul><ul><li>Expect explicit ratings to be positively biased, so “absence of positive” matters </li></ul><ul><ul><li>Ratings per hit rate for example meaningful </li></ul></ul><ul><ul><li>Count of ratings overall </li></ul></ul><ul><ul><li>Binary votes: e.g. “useful” or not </li></ul></ul><ul><li>Metrics at both level of content and level of author important </li></ul><ul><li>Rate comments as well as content </li></ul>
  56. 57. Opportunities for Innovation <ul><li>Assessing a person’s/story’s reputation with “others like me” – localized reputation </li></ul><ul><li>Under the hood assessment of “trustability” of raters, use to influence their influence on aggregate scores, search results </li></ul><ul><ul><li>Recency in system, deviance, phase of treatment, explicit ratings (ratings of raters) </li></ul></ul><ul><li>Use interaction history with content to normalize ratings </li></ul><ul><ul><li>% of positive ratings out of # of people read/hit vs. simple average </li></ul></ul><ul><li>Search results, able to change sort by: </li></ul><ul><ul><li>Overall ranking/ratings </li></ul></ul><ul><ul><li>Ranking/rating in my network </li></ul></ul><ul><ul><li>Similarity/relevance to me </li></ul></ul><ul><ul><li>Date updated/posted </li></ul></ul><ul><ul><li>Author </li></ul></ul>
  57. 58. Web 2.0 Revenue Models
  58. 59. Mergers and Acquisitions <ul><li>Startups get purchased by larger organizations </li></ul><ul><li>With minimal expenditure, create: </li></ul><ul><ul><li>Unique identity </li></ul></ul><ul><ul><li>Hip attitude </li></ul></ul><ul><ul><li>Attract a large user base </li></ul></ul>
  59. 61. Advertising Provide Value Advertising Revenue User Traffic Are we providing valuable content that is driving traffic that is leading to advertising revenue?
  60. 62. Google Analytics
  61. 63. Online Advertising Lingo <ul><li>Page views </li></ul><ul><li>CPM </li></ul><ul><ul><li>Cost per mille (thousand) </li></ul></ul><ul><ul><li>Usually 2.9$ per thousand views </li></ul></ul><ul><li>Ad impressions </li></ul><ul><ul><li>Ad images presented, around three per page view </li></ul></ul><ul><li>CPC </li></ul><ul><ul><li>Cost per click through </li></ul></ul><ul><ul><li>Anywhere from 10 cents to 85$ </li></ul></ul>
  62. 64. Google analytics
  63. 65. Alexa Ranking Info
  64. 66. Subscription Services <ul><li>Fixed rate </li></ul><ul><ul><li>Per user per month </li></ul></ul><ul><li>Variable rate </li></ul><ul><ul><li>Pay according to level of usage </li></ul></ul><ul><ul><li>E.g. preferred membership subscriptions (LinkedIn, Biznik), special search and communication features </li></ul></ul><ul><ul><li>Storage (photo sites, imageevents, ) </li></ul></ul><ul><li>Fixed plus variable </li></ul>
  65. 67. Transaction Commissions <ul><li>Trading fees </li></ul><ul><ul><li>Ebay auctions </li></ul></ul><ul><ul><li>Paypal </li></ul></ul><ul><ul><ul><li>per transaction 2.9% + .30 </li></ul></ul></ul><ul><li>Service commissions </li></ul><ul><ul><li>Amazon Mechanical Turk </li></ul></ul><ul><ul><li>Biznik, % of fee for workshops </li></ul></ul><ul><li>Aggregation fees </li></ul><ul><ul><li>ITunes, $ goes to record industry, shave off % per transaction </li></ul></ul><ul><ul><li>Zazzle/Café Press: notion of base price: e.g. $8.99 for shirt, designer marks up over and keeps difference </li></ul></ul><ul><ul><li>Artocracy: 25% of sale (each ~30$) for site </li></ul></ul>
  66. 68. Successful Businesses <ul><li>Keeping market share, critical mass </li></ul><ul><li>Patented techniques </li></ul><ul><ul><li>Google </li></ul></ul><ul><li>Hard to recreate data sources </li></ul><ul><li>Copyrighted content </li></ul><ul><ul><li>ITunes, music & video library </li></ul></ul><ul><li>Secret formulae </li></ul><ul><ul><li>Google </li></ul></ul><ul><li>From: http://web2.wsj2.com/making_web_20_commercially_successful.htm </li></ul>
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