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Big Data and Data Verification
What does big data mean to Internews?
What is Big Data?
In information technology, big data is a collection of data sets so
large and complex that it becomes di...
WHAT DOES BIG DATA HAS TO
DO WITH INTERNEWS?
Data verification
ELECTUA.ORG
Falsifying/Verifying
the context

Falsifying/Verifying
the content

Falsifying/Verifying the
source
Social Media ID
ID of the
Content on the
Social media

Crowdsourcing

Direct
engagement

Media
authentication

Verificatio...
Language

Crowdsourcing

Content ID on
Social Network

Pictures/Video

Verification
of the
content
Time and
place

Triangu...
Factual
context

Crowdsourcing

Verification
the context

Time and
Location

Global Context
Different technics to verify

1.
2.
3.
4.

Separated Trusted and untrusted sources
Trusted sources verify untrusted source...
Falsification is always
possible…

..but so is verification!
+
=
TRUTH….?
The question is not if we can
verify crowdsourced information
or use big data in our work, the
question is how do we make ...
THANK YOU

ANAHI AYALA IACUCCI
AAYALA@INTERNEWS.ORG
@INFO_INNOVATION
@ANAHI_AYALA
Big Data for Media Development
Big Data for Media Development
Big Data for Media Development
Big Data for Media Development
Big Data for Media Development
Big Data for Media Development
Big Data for Media Development
Big Data for Media Development
Big Data for Media Development
Big Data for Media Development
Big Data for Media Development
Big Data for Media Development
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Big Data for Media Development

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Big Data for Media Development

  1. 1. Big Data and Data Verification What does big data mean to Internews?
  2. 2. What is Big Data? In information technology, big data is a collection of data sets so large and complex that it becomes difficult to process using “normal” database management tools or traditional data processing applications. The challenges of processing this data include how to capture, to curate, to storage, to search, to share, to analyze, and to visualize it. The appeal to use larger data sets is driven by the additional information available from analysis of a single large set of related data, as compared to separate smaller sets with the same total amount of data, allowing correlations to be found to spot trends, determine quality of research, run preventive analysis, spot correlations, model risks, and determine real-time impacts of events.
  3. 3. WHAT DOES BIG DATA HAS TO DO WITH INTERNEWS?
  4. 4. Data verification
  5. 5. ELECTUA.ORG
  6. 6. Falsifying/Verifying the context Falsifying/Verifying the content Falsifying/Verifying the source
  7. 7. Social Media ID ID of the Content on the Social media Crowdsourcing Direct engagement Media authentication Verification of the source Timing Influence Location ID of the Network ID of the trusting network
  8. 8. Language Crowdsourcing Content ID on Social Network Pictures/Video Verification of the content Time and place Triangulation Follow up with source
  9. 9. Factual context Crowdsourcing Verification the context Time and Location Global Context
  10. 10. Different technics to verify 1. 2. 3. 4. Separated Trusted and untrusted sources Trusted sources verify untrusted sources Verification protocols and technics Putting the burden of the verification process on the user
  11. 11. Falsification is always possible… ..but so is verification!
  12. 12. + = TRUTH….?
  13. 13. The question is not if we can verify crowdsourced information or use big data in our work, the question is how do we make the verified data for decision makers
  14. 14. THANK YOU ANAHI AYALA IACUCCI AAYALA@INTERNEWS.ORG @INFO_INNOVATION @ANAHI_AYALA

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