ICT role in 21st century education and its challenges
Twitter news-credibility
1. !"#$%+*! ا) ا%$#(' ا
Social Media A Systematic Methodology
as a Credible for Estimating the
Source Credibility of Twitter
of News? Streams
Tuesday, November 1, 11
2. !"#$%+*! ا) ا%$#(' ا
Social Media The Traditional Media has
as a Credible obviously decided to
Source classify SM as a primary
of News? source of News
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7. Can we verify
the credibility
of a post?
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8. Can we verify Yes
the credibility &
of a post? NO
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9. Can we verify Yes journalistic verification methods
the credibility &
of a post? NO
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10. Can we verify Yes journalistic verification methods
the credibility &
of a post? NO “cannot be verified independently”
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11. Nevertheless ...
The Media tries to
verify the credibility
of posted stories?
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12. ➡ great deal of experience
The ➡ the sheer volume of tweets
Verification is time consuming
Process ➡ hard to quickly identify a
is Difficult & scoop
very time ➡ technical limitations
➡ inefficient twitter search
consuming ➡ inefficient refresh rate
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14. What we 100s - 1000s of tweets
being filtered automatically
want to offer from noise through a
the media preselection process
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16. What is the 1. Understanding how
Automated people evaluate tweets
individually
Preselection 2. Adding metrics to the
Process evaluation
Based on? 3. Applying probability
algorithms
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17. 1. Understanding how people evaluate tweets individually
as individuals we want to:
Why Do People ➡ to post only true stories
Evaluate ➡ to retain or grow our
follower-ship
Users in the ➡ remain popular
First Place? ➡ be seen as an authority
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18. 1. Understanding how people evaluate tweets individually
we analyze the ...
How do we as ➡ user
individuals ➡ community
➡ interaction
evaluate ➡ attitude / typical behavior
tweets? ➡ set of morals
➡ topics
➡ influence
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19. 1. Understanding how people evaluate tweets individually
What is the
result of We want to identify if a user
evaluating an is qualified to make the
statement just posted.
individual?
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21. 1. Understanding how people evaluate tweets individually
The more influential a user
Our Thesis the higher the probability
(part one): that news posted by this
user is credible
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22. 2. Adding metrics to the evaluation
Evaluation ➡ Klout
The community around the
metrics user and the interaction with
this community: number of
followers, their influence,
pro users mentions, retweets ...
also check ➡ Peerindex
social influence The topics the user usually
tweets, the topics of the
services community around the users,
the topics of conversations
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23. 2. Adding metrics to the evaluation
➡ They have limitations
Are these ➡ They have flaws
services ... but
reliable? ➡ They supply an excellent
probability value / index
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25. 2. Adding metrics to the evaluation
Can We
Measure
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26. 2. Adding metrics to the evaluation
Can We
Measure
Credibility?
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27. 2. Adding metrics to the evaluation
Can We
➡ Credibility itself: NO
Measure ➡ Probability: YES
Credibility?
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28. 3. Applying probability algorithms
➡ take their twitter seriously
➡ feel responsible about
posting and reposting true
Tweet stories
Propagation ➡ act as an evaluation point
There is clear in the propagation of a
indication that story
influential users: ➡ increase the probability
of a story being true by an
measurable increment
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29. 3. Applying probability algorithms
The more influential the user
Our Thesis the higher the probability
(part two): that news posted by this
user is credible
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30. 3. Applying probability algorithms
Tweet Propagation
✜ ✜✜ ✜✜✜
This schematic is ridiculously over simplified.
The true probability increase will be based on
probability theory algorithms
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31. twitter stream
Our Proposed
System Will Offer an
Alternative View of
the Twitter Stream
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32. probability value on top of the twitter stream
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Our Proposed
System Will Offer an
Alternative View of ✜✜
the Twitter Stream
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33. probability value on top of the twitter stream
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Our proposed ✜✜✜✜
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System Will Offer ✜✜✜
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a Novelty! ✜✜
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The Credibility INDEX ✜✜
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34. probability value on top of the twitter stream
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The Media Now ✜✜✜✜
Have Dozens Instead of ✜
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100s-1000s to ✜✜
Attempt to ✜✜
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Verify Independently ✜✜
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