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Social networks and collective intelligence
          A return to the Agora




              Manuel Mazzara
              03/08/2012, Newcastle
The School of Athens
Joint work with:
                Luca Biselli
              Antoine Chamot
              Luca Chiarabini
             Simona De Nicola
              Nicola Dragoni
             Emanuela Goldoni
              Pier Paolo Greco
             Antonio Marraffa
           Georgios Papageorgiou
               Nafees Qamar
A Fantastic New Era (!?!)
I have not failed. I've just found
  10,000 ways that won't work.
                Thomas Edison
Web 2.0 Technologic Backbone

   Google                 MySpace
   Yahoo!                 Wikipedia
   Blogs                  eBay
   Wiki’s                 YouTube
   Instant Messaging      Twitter
   Facebook               Flickr
   LinkedIn               Skype
Why Social Computing ?
DO’S & DON’TS of SOCIAL
NETWORKING
Old Problems Made Worse

               Trustworthy?
 Newsworthy?
                              Relevant?
Traditional Media Gatekeeping


World                      Audience
Plurality of information or
        an information cartel?
   Reuters bought by Canadian financial data
    provider Thomson in a deal worth about £8.7bn
    [BBC, 15 May 2007]

   Reuters prohibited any individual from owning
    15% or more

   The Thomson family now own 53%
Agenda-setting
   Salience transfer
     the ability of a mass medium to transfer relevant issues

      from its news media agendas to public agendas

   The agenda-setting theory
     McCombs, Shaw, 1972

     McCombs, 2004



   The spiral of silence theory
     Noelle-Neumann, 1974
Power of Media (!?!)



  “There are no facts,
  only interpretations”

 (Friedrich Nietzsche)
Hegelian Dialectic
(spot how/where/when it is used!)
   The thesis is an intellectual proposition

   The antithesis is the negation of the thesis, a reaction to the
    proposition

   The synthesis solves the conflict between the thesis and
    antithesis by reconciling their common truths, and forming a
    new proposition

   Example(s):
     Thesis: the French revolution/fire of Rome

     Antithesis: the terror which followed

     Synthesis: the constitutional state of free citizens/blaming the
      Christians
Power of Illusion
Overcoming Gatekeeping ?

Internet offers an open platform where users can
       interactively exchange information

                     News is multimedia, multi-dimensional,
                      timely/timeless
                     The user can control relevance
                     The user is able to choose topics, sources …
                     The user can interact with authors, other
                      readers/followers …
Traditional/New Media Synopsis
                     Traditional   Search engines   Social networks
                       media
Relevance/presence Decided by      Decided by the   Decided by the
of the news           the            algorithm        network
                   publisher

Interaction /        Not allowed    Not allowed        Possible
feedback
Topic                Decided by    Decided by the   Decided by the
Content                 the             user          network
                     publisher
Expand topic         Not allowed      Allowed          Allowed
Deciding Source      Not allowed      Allowed          Allowed
Individual (trust-     Absent         Absent            Absent
based) ranking
We will either find a way, or make one ...

”Aut inveniam viam aut faciam”
Maslow’s Law of the Instrument


 ”It is tempting, if the only
 tool you have is a hammer,
 to treat everything as if it
 were a nail.”

 - H. Maslow, The Psychology of
 Science:A Reconnaissance.
 Harper & Row, 1966
Time for Polidoxa now!

 Create a virtual agora where people can freely discuss and exchange
  information

 From greek “poly", meaning many or several and “doxa" meaning
  common belief or popular opinion

 More control over the news/information

  Think!
  Discuss!
  Verify!
  Interact!
  Take an active role!
  Take (better?) decisions!
Polidoxa Ranking Algorithm (the „how“)

The core ranking parameters:

 Configurable static parameters
    trustworthiness of contacts (decided by the user)
    trustworthiness of sources/domains… (by the user)

 Dynamic Parameters
    depending on network activities and contact’s distance
    evaluate (among other things) “like” and “dislike”
       many “like” for a post is and indication of how your
         network perceives it
Trustworthyness and ranking



www.page-x.com     40%        News from z



www.page-z.com     60%        News from x



www.page-y.com     30%         News from y
Some details about the algorithm…



                     If you can't explain it to
                          a six year old,
                       you don't understand
                           it yourself.”
                          Albert Einstein
Polidoxa@Twitter
   Twitter is less studied than FB etc…

   Only text analysis, therefore simpler (for now)

   At each search the trust is recalculated for each contact and
    the results are presented accordingly (higher trust first)
     Trust is in range 0..100



   This prototype is just a proof of concept

   FB application is the next step
Static/Dynamic Trust

   Static trust is chosen by the user
   Dynamic trust is calculated according to the following
    parameters :
     Number of retweet

     Number of Favourites

     Number of Mentions

     Number of hashtags #FF

     Number of user’s tweets containing the searched

       keyword
Trust Formula

Trust = static_trust + coef1*nbr_fav + coeff2*nbr_ret +
coeff_3*nbr_mentions + coeff3*nbr_FF + coeff4*nbr_tweets

static_trust = chosen by the user
nbr_fav = number of favourite tweets for this contact

nbr_ret = number of retweets you have done for this contact

nbr_ment = number of mention ("@username") relative to this contact
nbr_FF = number of FF (hashtag #FF, Follow Friday) associate to this contact
nbr_tweets = number of tweets belonging to this contact in which the search
term appears
Trust goes up and down
(like in real life)
   Coefficients are application parameter set by the admin
    (not the user)

   When beyond 100% all trust values are rescaled to be within
    the range

   The oldest interactions (in the current prototype more than
    one year old) are removed
     This actually decreases the trust value for the contacts

      who have been ignored for some time
Polidoxa
                               Polidoxa
Relevance of the news          Decided by the user

Interaction / feedback         Allowed

Topic                          Decided by the user and
content                        his/her network

Expand topic                   Allowed
Deciding Source                Allowed

Individual trust-based ranking Possible
Where do you want to go today
(with Polidoxa)?
                         Community = Network




Relationships = Links                                   Individuals = Nodes
                           Evolution of Plato’s
                              Evolution du
                             World of Ideas
                              monde des idées
                              (Iperuranio)




                        Social Structure = Technology
Collective Intelligence and Cyber-democracy?




                                                                                                                       Fin
           e




                                                                                                                           an
       tic
                               Le                                                            e   s
                                 gis                                                      ax




                                                                                                                             ce
   Jus

                                       lat                                              T




                                                                                                                               s
                                             i on
                                                                                                              io   n
                                                                                                        u lat
                                                                                                     Reg
               Ex
                  ec   uti                                  Collective
                          on
                                                           Intelligence
                                         consumption and




                                                                          Forecasting
                                         Sustainable




                                                                                                           Key concept is
                                         production



                                                                                                           Cyber-feedback



                                                           Biosphere
Be creative when solving problems, use your
    right brain hemisphere more often!
Newcastle 3 8 2012

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Newcastle 3 8 2012

  • 1. Social networks and collective intelligence A return to the Agora Manuel Mazzara 03/08/2012, Newcastle
  • 2. The School of Athens
  • 3. Joint work with: Luca Biselli Antoine Chamot Luca Chiarabini Simona De Nicola Nicola Dragoni Emanuela Goldoni Pier Paolo Greco Antonio Marraffa Georgios Papageorgiou Nafees Qamar
  • 4. A Fantastic New Era (!?!)
  • 5.
  • 6. I have not failed. I've just found 10,000 ways that won't work. Thomas Edison
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12. Web 2.0 Technologic Backbone  Google  MySpace  Yahoo!  Wikipedia  Blogs  eBay  Wiki’s  YouTube  Instant Messaging  Twitter  Facebook  Flickr  LinkedIn  Skype
  • 14. DO’S & DON’TS of SOCIAL NETWORKING
  • 15. Old Problems Made Worse Trustworthy? Newsworthy? Relevant?
  • 17. Plurality of information or an information cartel?  Reuters bought by Canadian financial data provider Thomson in a deal worth about £8.7bn [BBC, 15 May 2007]  Reuters prohibited any individual from owning 15% or more  The Thomson family now own 53%
  • 18. Agenda-setting  Salience transfer  the ability of a mass medium to transfer relevant issues from its news media agendas to public agendas  The agenda-setting theory  McCombs, Shaw, 1972  McCombs, 2004  The spiral of silence theory  Noelle-Neumann, 1974
  • 19. Power of Media (!?!) “There are no facts, only interpretations” (Friedrich Nietzsche)
  • 20. Hegelian Dialectic (spot how/where/when it is used!)  The thesis is an intellectual proposition  The antithesis is the negation of the thesis, a reaction to the proposition  The synthesis solves the conflict between the thesis and antithesis by reconciling their common truths, and forming a new proposition  Example(s):  Thesis: the French revolution/fire of Rome  Antithesis: the terror which followed  Synthesis: the constitutional state of free citizens/blaming the Christians
  • 22. Overcoming Gatekeeping ? Internet offers an open platform where users can interactively exchange information  News is multimedia, multi-dimensional, timely/timeless  The user can control relevance  The user is able to choose topics, sources …  The user can interact with authors, other readers/followers …
  • 23. Traditional/New Media Synopsis Traditional Search engines Social networks media Relevance/presence Decided by Decided by the Decided by the of the news the algorithm network publisher Interaction / Not allowed Not allowed Possible feedback Topic Decided by Decided by the Decided by the Content the user network publisher Expand topic Not allowed Allowed Allowed Deciding Source Not allowed Allowed Allowed Individual (trust- Absent Absent Absent based) ranking
  • 24. We will either find a way, or make one ... ”Aut inveniam viam aut faciam”
  • 25. Maslow’s Law of the Instrument ”It is tempting, if the only tool you have is a hammer, to treat everything as if it were a nail.” - H. Maslow, The Psychology of Science:A Reconnaissance. Harper & Row, 1966
  • 26. Time for Polidoxa now!  Create a virtual agora where people can freely discuss and exchange information  From greek “poly", meaning many or several and “doxa" meaning common belief or popular opinion  More control over the news/information  Think!  Discuss!  Verify!  Interact!  Take an active role!  Take (better?) decisions!
  • 27. Polidoxa Ranking Algorithm (the „how“) The core ranking parameters:  Configurable static parameters  trustworthiness of contacts (decided by the user)  trustworthiness of sources/domains… (by the user)  Dynamic Parameters  depending on network activities and contact’s distance  evaluate (among other things) “like” and “dislike”  many “like” for a post is and indication of how your network perceives it
  • 28. Trustworthyness and ranking www.page-x.com 40% News from z www.page-z.com 60% News from x www.page-y.com 30% News from y
  • 29. Some details about the algorithm… If you can't explain it to a six year old, you don't understand it yourself.” Albert Einstein
  • 30. Polidoxa@Twitter  Twitter is less studied than FB etc…  Only text analysis, therefore simpler (for now)  At each search the trust is recalculated for each contact and the results are presented accordingly (higher trust first)  Trust is in range 0..100  This prototype is just a proof of concept  FB application is the next step
  • 31. Static/Dynamic Trust  Static trust is chosen by the user  Dynamic trust is calculated according to the following parameters :  Number of retweet  Number of Favourites  Number of Mentions  Number of hashtags #FF  Number of user’s tweets containing the searched keyword
  • 32. Trust Formula Trust = static_trust + coef1*nbr_fav + coeff2*nbr_ret + coeff_3*nbr_mentions + coeff3*nbr_FF + coeff4*nbr_tweets static_trust = chosen by the user nbr_fav = number of favourite tweets for this contact nbr_ret = number of retweets you have done for this contact nbr_ment = number of mention ("@username") relative to this contact nbr_FF = number of FF (hashtag #FF, Follow Friday) associate to this contact nbr_tweets = number of tweets belonging to this contact in which the search term appears
  • 33. Trust goes up and down (like in real life)  Coefficients are application parameter set by the admin (not the user)  When beyond 100% all trust values are rescaled to be within the range  The oldest interactions (in the current prototype more than one year old) are removed  This actually decreases the trust value for the contacts who have been ignored for some time
  • 34. Polidoxa Polidoxa Relevance of the news Decided by the user Interaction / feedback Allowed Topic Decided by the user and content his/her network Expand topic Allowed Deciding Source Allowed Individual trust-based ranking Possible
  • 35. Where do you want to go today (with Polidoxa)? Community = Network Relationships = Links Individuals = Nodes Evolution of Plato’s Evolution du World of Ideas monde des idées (Iperuranio) Social Structure = Technology
  • 36. Collective Intelligence and Cyber-democracy? Fin e an tic Le e s gis ax ce Jus lat T s i on io n u lat Reg Ex ec uti Collective on Intelligence consumption and Forecasting Sustainable Key concept is production Cyber-feedback Biosphere
  • 37. Be creative when solving problems, use your right brain hemisphere more often!

Notas do Editor

  1. Do’s and Don’ts of Social Networking An outline of some basic points that a user should follow to make their use of the internet safer.
  2. Situational analysis Traditional media: Publishers and the mass media determine what information is relevant, determines position, length Internet offers an open platform where users can exchange information Search engines like Googlenews, Yahoo define relevance by popularity, source credibility; allow only some user control (themes, country) Social Media Problem
  3. Internet offers an open platform where users can exchange information