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DH 150 Final Project:
2013 Kenyan Elections and
Dangerous Speech
Stephanie Wong
Chelsea Weininger
Anthony Bushong
What is Dangerous Speech?
● Impassioned sender
● Ethos based, potentially inaccurate statements
● With the intent of mobilizing violence
● Typically revolving around polarizing issues with a
volatile audience
● More relevant now than ever with social media
increasing immediacy of publication and breadth of
audience
Why Kenya?
● 2007 Presidential Election
● Raila Odinga loses to Mwai Kibaki
● Organized rallies develop into protests
● Protests give way to riots and violence, 1300 fall to
the post-election chaos
● What did social media have to do with this? With its
growing popularity, will it have more of an effect in
2013?
How will Social Media affect Kenya?
● In 2007-08, mobile access was costly
● Twitter and Facebook more accessible now
● Will social media propagate violence? Will it be
easier to mobilize people for riots and protests?
● Or will it foster more peaceable discussions? Will it
provide an outlet to dispel such violent reactions?
● Provides a live social experiment to witness as it
happens
Kenya's preemptive actions
● The Umati Project
○ First of its kind
● Kenyan government monitoring for dangerous
speech
○ National Steering Committee on Media
Monitoring
● Defining success: Will they be successful if they stop
dangerous speech, or if they change the way social
media is used?
Our Project and Hypothesis
● Monitoring tweets in different key locations during
the election results and post-election results
● Searching for hashtags and text involving dangerous
speech, comparing it with tweets involving peace
● How do the results of these queries correlate with
the actions of the people?
● Hypothesis: Based off of the violence in 2007, we
believe that there will be more tweets partaking in
hate and dangerous speech than tweets regarding
peace talks.
Methods
● Looked at Tweets by location
● All tweets produced by users in Kenya and a
bit of surrounding areas
● Looked solely at tweets with popular hashtag
#KenyaDecides
● Started recording during last hour that polls
were still open at 9pm March 4th
● Continued recording until day after election
results released on March 11th
Methods
● Data carried over to MySQL
● Queries included:
○ searching by words like "riot" and "peace"
○ users
○ location
Data
Noteworthy Tweets
RESULTS so far
● In contrast to the
2007 elections, this
election has been peaceful so far
● The word "peace" has been tweeted more
than any other "dangerous speech"
● Avoiding a repeat of the past
● Uhuru Kenyatta won the election, as
announced on Monday March 11th
● Controversy from the announcement leads
to small amounts of violence
Visualization
● Polarity of most
used words in
tweets
● Word cloud to
discover which
words to test
● Gephi focus on
those words
Word Cloud
What this means...
● Popular words include:
○ odinga
○ uhuru
○ mudavadi
○ spoilt/rejected
○ results, votes, win
○ peace
○ blackout
○ wazi campaign
● Strong signs of peaceful communication
● Blackout = monitoring hate speech or offensive images
in media
● Wazi campaign = nationwide public awareness
campaign that uses 3D animation to convey messages
of peace and good governance
What we are
taking away
from this
● Taking part in an event of worldwide
importance as it is happening
● Educating ourselves on the political system
and culture in Kenya
● Social media can facilitate peace as easily
as it can violence

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2013 Kenyan Elections Social Media

  • 1. DH 150 Final Project: 2013 Kenyan Elections and Dangerous Speech Stephanie Wong Chelsea Weininger Anthony Bushong
  • 2. What is Dangerous Speech? ● Impassioned sender ● Ethos based, potentially inaccurate statements ● With the intent of mobilizing violence ● Typically revolving around polarizing issues with a volatile audience ● More relevant now than ever with social media increasing immediacy of publication and breadth of audience
  • 3. Why Kenya? ● 2007 Presidential Election ● Raila Odinga loses to Mwai Kibaki ● Organized rallies develop into protests ● Protests give way to riots and violence, 1300 fall to the post-election chaos ● What did social media have to do with this? With its growing popularity, will it have more of an effect in 2013?
  • 4. How will Social Media affect Kenya? ● In 2007-08, mobile access was costly ● Twitter and Facebook more accessible now ● Will social media propagate violence? Will it be easier to mobilize people for riots and protests? ● Or will it foster more peaceable discussions? Will it provide an outlet to dispel such violent reactions? ● Provides a live social experiment to witness as it happens
  • 5. Kenya's preemptive actions ● The Umati Project ○ First of its kind ● Kenyan government monitoring for dangerous speech ○ National Steering Committee on Media Monitoring ● Defining success: Will they be successful if they stop dangerous speech, or if they change the way social media is used?
  • 6. Our Project and Hypothesis ● Monitoring tweets in different key locations during the election results and post-election results ● Searching for hashtags and text involving dangerous speech, comparing it with tweets involving peace ● How do the results of these queries correlate with the actions of the people? ● Hypothesis: Based off of the violence in 2007, we believe that there will be more tweets partaking in hate and dangerous speech than tweets regarding peace talks.
  • 7. Methods ● Looked at Tweets by location ● All tweets produced by users in Kenya and a bit of surrounding areas ● Looked solely at tweets with popular hashtag #KenyaDecides ● Started recording during last hour that polls were still open at 9pm March 4th ● Continued recording until day after election results released on March 11th
  • 8. Methods ● Data carried over to MySQL ● Queries included: ○ searching by words like "riot" and "peace" ○ users ○ location
  • 9.
  • 10. Data
  • 11.
  • 12.
  • 14.
  • 15.
  • 16. RESULTS so far ● In contrast to the 2007 elections, this election has been peaceful so far ● The word "peace" has been tweeted more than any other "dangerous speech" ● Avoiding a repeat of the past ● Uhuru Kenyatta won the election, as announced on Monday March 11th ● Controversy from the announcement leads to small amounts of violence
  • 17. Visualization ● Polarity of most used words in tweets ● Word cloud to discover which words to test ● Gephi focus on those words
  • 19. What this means... ● Popular words include: ○ odinga ○ uhuru ○ mudavadi ○ spoilt/rejected ○ results, votes, win ○ peace ○ blackout ○ wazi campaign ● Strong signs of peaceful communication ● Blackout = monitoring hate speech or offensive images in media ● Wazi campaign = nationwide public awareness campaign that uses 3D animation to convey messages of peace and good governance
  • 20.
  • 21. What we are taking away from this ● Taking part in an event of worldwide importance as it is happening ● Educating ourselves on the political system and culture in Kenya ● Social media can facilitate peace as easily as it can violence