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Umati: Monitoring online
  dangerous speech
       Angela Crandall
       Kagonya Awori
Umati Project
o Monitor dangerous speech online

o The influence online hate speech had on the 2007
  elections encouraged the birth of Umati.

o Also, growing internet use in Kenya:
      - 82.7% increase over 12 months between
June 2011 and June 2012.
      - Half the internet users are on Facebook.
Umati Project : Goals
o To set a definition of hate/dangerous speech that
  can be incorporated into the constitution.

o To forward incidences of dangerous speech to
  Uchaguzi to limit further harm.

o To define a process for election monitoring that can
  be replicated elsewhere.

o To further civic education     on hate /dangerous
  speech
Why dangerous speech?
o Incomprehensive definition of hate speech under
  the National Cohesion and Integration Act, 2008.
   (sections 13 and 52)


      o Ethnicity, nationality or race

      o Intent or likelihood




      Source: http://www.cohesion.or.ke/images/downloads/unpacking%20hate%20speech.pdf
Tenets of dangerous speech
o Powerful speaker             with     influence   over   an
  audience.

o An audience vulnerable to incitement. e.g.
  fearfulness

o Meaning of the speech act

o Conducive social and historical context

o Influential medium of dissemination.
(Prof Susan Benesch, American University)
Umati : Methodology
o Use of human monitors

o Scan blogs, forums, online newspapers and social media
  pages

o Record : speaker, influence, inflammatory, platform, content

o Group into 3 categories:
    • Offensive speech
    • Moderately Dangerous speech
    • Extremely Dangerous speech

o Critical incidents (calls for help) are forwarded to Uchaguzi

                                               www.research.ihub.co.ke
Interesting findings
1. Prominence of moderately dangerous speech



       35%                         52%
                                                   43%

        OCT                        NOV               DEC
        N= 774                     N = 792           N = 432
                 34%                                           33%
 31%                         27%             21%
                                                   24%



Offensive speech

    Moderately Dangerous speech
             Extremely Dangerous speech
Interesting findings
2. Dominance of identifiable commenters

      NOVEMBE            91%
      R                                    6%
      ( n= 792)


                                           3%
                                       0.2%      DECEMBER ( n= 432)

                                    0.2%                    5%    1%
53%                            6%                                   1%
                                                                    0%
                               2%
                                                                 0.005%
                   39%
                                           92%

1%
          OCTOBER ( n=769)
Interesting findings
   3. The call to discriminate is the main call to action
                                                          1%
                                              12%         2%
               NOVEMBER                                   6%

                               79%



                        1%
                                10%                            DECEMBER

                                 1%                                       5%
      87%

                                 1%                 84%             8%    1%
                                                                          2%

            OCTOBER

Discriminate     Kill   Riot         Beat   Forcefully evict
Future Work
o Project runs until the end of April

o Hosting more media events to promote
  civic education

o Adding another monitor to represent the
  Somali community + weekend monitoring

o Sharing the reports: media events, mailing
  lists, iHub Research blog
?

www.research.ihub.co.ke

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Umati presentation_uchaguzi_ushahidi

  • 1. Umati: Monitoring online dangerous speech Angela Crandall Kagonya Awori
  • 2. Umati Project o Monitor dangerous speech online o The influence online hate speech had on the 2007 elections encouraged the birth of Umati. o Also, growing internet use in Kenya: - 82.7% increase over 12 months between June 2011 and June 2012. - Half the internet users are on Facebook.
  • 3. Umati Project : Goals o To set a definition of hate/dangerous speech that can be incorporated into the constitution. o To forward incidences of dangerous speech to Uchaguzi to limit further harm. o To define a process for election monitoring that can be replicated elsewhere. o To further civic education on hate /dangerous speech
  • 4. Why dangerous speech? o Incomprehensive definition of hate speech under the National Cohesion and Integration Act, 2008. (sections 13 and 52) o Ethnicity, nationality or race o Intent or likelihood Source: http://www.cohesion.or.ke/images/downloads/unpacking%20hate%20speech.pdf
  • 5. Tenets of dangerous speech o Powerful speaker with influence over an audience. o An audience vulnerable to incitement. e.g. fearfulness o Meaning of the speech act o Conducive social and historical context o Influential medium of dissemination. (Prof Susan Benesch, American University)
  • 6. Umati : Methodology o Use of human monitors o Scan blogs, forums, online newspapers and social media pages o Record : speaker, influence, inflammatory, platform, content o Group into 3 categories: • Offensive speech • Moderately Dangerous speech • Extremely Dangerous speech o Critical incidents (calls for help) are forwarded to Uchaguzi www.research.ihub.co.ke
  • 7. Interesting findings 1. Prominence of moderately dangerous speech 35% 52% 43% OCT NOV DEC N= 774 N = 792 N = 432 34% 33% 31% 27% 21% 24% Offensive speech Moderately Dangerous speech Extremely Dangerous speech
  • 8. Interesting findings 2. Dominance of identifiable commenters NOVEMBE 91% R 6% ( n= 792) 3% 0.2% DECEMBER ( n= 432) 0.2% 5% 1% 53% 6% 1% 0% 2% 0.005% 39% 92% 1% OCTOBER ( n=769)
  • 9. Interesting findings 3. The call to discriminate is the main call to action 1% 12% 2% NOVEMBER 6% 79% 1% 10% DECEMBER 1% 5% 87% 1% 84% 8% 1% 2% OCTOBER Discriminate Kill Riot Beat Forcefully evict
  • 10. Future Work o Project runs until the end of April o Hosting more media events to promote civic education o Adding another monitor to represent the Somali community + weekend monitoring o Sharing the reports: media events, mailing lists, iHub Research blog

Editor's Notes

  1. We hope that the work of this project will lead to the inclusion of a more elaborate definition of illegal speech in the current constitution of Kenya, and that findings will be used to educate the Kenyan public on what type of speech has the potential to disrupt peace and security in the country. Eg for elections and referenda
  2. We hope that the work of this project will lead to the inclusion of a more elaborate definition of illegal speech in the current constitution of Kenya, and that findings will be used to educate the Kenyan public on what type of speech has the potential to disrupt peace and security in the country. Eg for elections and referenda
  3. Wrong Doer: Actor:‘Any person’ may be an individual human being or a juristicperson can be guilty of hate speech.Offending Act: Utterances. There has to be an utterance or spoken word. The wordsmay also be written in a book, a newspaper, a pamphlet, a brochure, or expressed ina public performance. Character of the utterances: the words, publication or form of expression has to beor involve threatening, abusive or insulting words or behavior.Intent or likelihood: Not all abuses and insults are hate speech. Words only becomehate speech if the intention of the maker of the statement is to stir up hatred. Theintention of the person can be construed from the context, circumstances,environment and audience. When the maker of the statement did not have theintention to stir up ethnic hatred, but having regard of the circumstances, it is likelythat ethnic hatred is stirred up, then the person in question still committed a crimeunder section 13.Envisioned or likely effect: it concerns hatred against a group of persons on thebasis of colour, race, nationality (including citizenship), ethnicity or national origin.
  4. Kajiado North, Ndhiwa, Kangema. 17th