SlideShare a Scribd company logo
Identifying checkable claims
with machine learning
Mevan Babakar
Head of Automated Factchecking
@MeAndVan
fullfact.org / @FullFact
Full Fact is the UK’s independent
factchecking charity
A world where a small team can make a
big impact
A world where factcheckers can spend
time on the difficult questions
A world where you never have to settle
for less than the whole picture
We started from tools we have been
wishing for ourselves
What do factcheckers want?
1. To know what the most important thing to be factchecking that day is
2. To know when someone says something they already know to be false
3. To check things in as close to real-time as possible
Machine Learning
Machine Learning
We are building models that:
● Detect claims
● Match similar claims
● Check new claims from primary data (robochecking)
We do this through careful collaboration with other expert factcheckers, and with
help from hundreds of volunteers who collect and sort the data. We are careful not
to overstate our results.
Claim Detection
We can identify claims to ~80% accuracy (F1)
Problem Definition
Important
Claim
Claim
25,000 annotations from 80 volunteers
Results
tinyurl.com/claim-detection
Which political TV show do you think has
the most claims in it?
● Prime Minister’s Questions
● BBC Question Time
● The Andrew Marr Show
● Sunday Politics
Percentage of claims made in political TV shows
Each dot
represents an
annotated
episode
Robochecking
We can automatically check claims against ONS data
Using latest NLP techniques we extract: Topic, trend, geography, time and more
to be able to link to the best available data (e.g. ONS) and generate a graph in
real-time.
As more data becomes machine
readable we can surface it in real-time
when it’s needed most
Claim Matching
23,000 annotations from 8 volunteers
● The highest earning 1% of taxpayers pay 28% of income tax
● The top 1% of the population pay 28% of income tax
● Wealthy people pay the most tax
● The top 1% of taxpayers pay 28% of all taxes
● The wealthiest 1% of taxpayers pay 28% of income tax
● The tax burden for the rich is greater than the poor
● The top 1% pay 28% of income tax in England
● Income tax burden on rich increases
● The rich subsidise the poor
● Income tax burden on top earners increases
● The rich pay a lot of tax
● Top 5% of people love dogs
The systems we are building inform
and improve our factchecking they do
not replace it
Unintended Consequences
Thank you
fullfact.org/donate
fullfact.org // @FullFact
@MeAndVan

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Identifying checkable claims with machine learning (Mevan Babakar, Full Fact, UK)

Editor's Notes

  1. Why 1
  2. Why 3
  3. Why 2
  4. Why 1