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1. Algorithms and Human bias
2. Read wider and compare

# data[].attributes.body
Algorithms and human bias read wider and comapre

# data[].attributes.body
Filter bubbles are caused by alghorithm and human bias. Go direct to the source and search deeper

# data[].attributes.body
Algorithms and human bias
Read wider and compare

# data[].attributes.body
Algorithm and human bias

# data[].attributes.body
1.algorithms and human bias
2.read wider and compare

# data[].attributes.body
study multiple sources and test for reliability

# data[].attributes.body
Algorithms and human bias

# data[].attributes.body
algorithms and human bias

read wider, compare, identify biases

# data[].attributes.body
Algorithms and human bias

Go direct to source identify your bias

# data[].attributes.body
Algorithm and human bias

Recognise bias and read wide

# data[].attributes.body
Recognise my own bias

# data[].attributes.body
Algorithms and human bias

# data[].attributes.body
1.algorithms and human bias
2.read wider and compare

# data[].attributes.body
algorithm and human biased
reader wider and compare

# data[].attributes.body
Test for reliability

# data[].attributes.body
Algorithms and human Bias

# data[].attributes.body
algorithms and human bias

# data[].attributes.body
Search deeper and go to the source

# data[].attributes.body
Algorithms and Human bias. Read wider and compare.

# data[].attributes.body
Read wider

# data[].attributes.body
go direct to the source, read wider and compare

# data[].attributes.body
remind them to search for information on other websites and sources.

# data[].attributes.body
1. algorithms and human bias
2.  read wider and compare

# data[].attributes.body
- algorithms and human bias
- read wider and compare

# data[].attributes.body
Algorithms and human biased

# data[].attributes.body
Read widely and don’t trust anyone

# data[].attributes.body
read wider to compare info fairly

# data[].attributes.body
Read wider and compare

# data[].attributes.body
Recognise bias
Read wide

# data[].attributes.body
identify my bias

# data[].attributes.body
'Bias view
Algorithm

# data[].attributes.body
Test for reliability

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2 causes:
1. algorithms
2. human bias

2 solutions:
1. by bypassing algorithms
2. overcoming human bias

# data[].attributes.body
Read wide

# data[].attributes.body
read multiple sources

# data[].attributes.body
Algorithms and human bias
Read wider and compare

# data[].attributes.body
read wide and compare

# data[].attributes.body
Send them Ryan Ng

# data[].attributes.body
Search deeper

# data[].attributes.body
Read widely, don’t just trust one source

# data[].attributes.body
read wider and compare, never trust everything you see

# data[].attributes.body
I would check and confirm that what I have read is reliable and hence, avoid any filter bubbles

# data[].attributes.body
Research deeper

# data[].attributes.body
Read wider and compare

# data[].attributes.body
Go to trustable sources

# data[].attributes.body
identify my own bias

# data[].attributes.body
remind them to read many sources

# data[].attributes.body
Algorithms and human bias(Causes)

Go direct to the source (solutions)
Search deeper

# data[].attributes.body
Identify my own bias

# data[].attributes.body
search deeper

# data[].attributes.body
Search deeper

# data[].attributes.body
Read wider and compare

# data[].attributes.body
remind them to search deeper into the source and not just glance quickly over the source and believe it

# data[].attributes.body
Tell them to search deeper

# data[].attributes.body
remind them to read wider and compare

# data[].attributes.body
Causes, algorithms and human bias

How to tackle: go direct to do source and search deeper

# data[].attributes.body
Algorithm and human bias read
Read Wider and compare

# data[].attributes.body
Algorithm human bias
Read wider and compare

# data[].attributes.body
Search deeper

# data[].attributes.body
Searchdeepr

# data[].attributes.body
Search deeper

# data[].attributes.body
Research deeper

# data[].attributes.body
remind them to read wider and compare

# data[].attributes.body
Human bias
Algorithms

# data[].attributes.body
Search the source deeper

# data[].attributes.body
Search deeper

# data[].attributes.body
algorithms and human bias
read wider and compare

# data[].attributes.body
read wider and don’t jump to conclusions

# data[].attributes.body
Search deeper and go directly to the source