Facebook News Feed Algorithm / Facebook User Awareness / Pilot Research Majority of Facebook users is not aware of the Facebook EdgeRank / News Feed Algorithm (excluding social media managers/specialists). Facebook users are rather aware of the influence of their their ‘affirmative‘ actions (liking, sharing, commenting befriending, following, subscribing) than the influence of their ‘private‘ interactions with other users (messages, chatting), their ‘private‘ actions (adjusting privacy settings, creating & editing friends lists, sorting Facebook posts) and/or of their ‘negative‘ actions (hiding, reporting & blocking something). Majority of Facebook users have used at least half of the features affecting their News Feed content shown but more than half of the Facebook users seem to be rather ‘passive‘ consumers of the News Feed content shown (not adjusting it in any way even though they seem to know about some ways of how to do it). In general, more than half of the users have never reported or blocked anything on Facebook. People rather subscribe to notifications from a page than from a person. Majority of Facebook users know about the interest and/or friend list feature but only about 1/3 of them actually use it. There are still some users (even among University students) who have never adjusted their privacy settings.

1. January 2014
FACEBOOK NEWS FEED ALGORITHM:
FACEBOOK USERS’ AWARENESS
PILOT TESTING
(n=25)
PRELIMINARY RESEARCH DESIGN & OUTPUT SAMPLES
(very limited generalisation)
JAKUB RŮŽIČKA
jameslittlerose@gmail.com
cz.linkedin.com/in/littleROSE

2. Outline
research
background
research objectives,
questions &
hypotheses
methodology &
research sample
results
conclusions &
discussion

3. Outline
research
background
research objectives,
questions &
hypotheses
methodology &
research sample
results
conclusions &
discussion

4. Research
Background

5. The Facebook News Feed algorithm (formerly known as ‘EdgeRank‘) decides which
news/content streams are displayed on the main page of any user‘s Facebook
account. Let’s start with some definitions by the Facebook Help Center [01]:
What is News
Feed?
• News Feed - the center column of the Facebook home page - is a
constantly updating list of stories from people and Pages that you
follow on Facebook. News feed stories include status updates,
photos, videos, links, app activity and likes.
How does my
News Feed
determine which
content is most
interesting?
• The News Feed algorithm uses several factors to determine top
stories, including the number of comments, who posted the story,
and what type of post it is (ex: photo, video, status update, etc.).
• If you feel you're missing stories you'd like to see or seeing stories in
your News Feed that you don't want to see, use the different News
Feed controls to adjust your settings.

6. The ‘News Feed‘ (formerly ‘EdgeRank‘) algorithm governs what is displayed - and
how high - on the News Feed (the center column on the main Facebook Page of
any user). The Facebook algorithm is based on three basic variables [02]:
affinity
• Affinity is a one-way relationship between a User and an Edge. It could be understood as
how close of a 'relationship' a Brand and a Fan may have. Affinity is built by repeat
interactions with a Brand's Edges. Actions such as Commenting, Liking, Sharing,
Clicking, and even Messaging can influence a user's Affinity.
weight
• Weight is a value system created by Facebook to increase/decrease the value of certain
actions within Facebook. Commenting is more involved and therefore deemed more
valuable than a Like. In the weighting system, comments would have a higher value than
a Like. In this system all Edges are assigned a value chosen by Facebook. As a general
rule, it's best to assume Edges that take the most time to accomplish tend to weigh
more.
time
decay
• Time Decay refers to how long the Edge has been alive; the older it is the less valuable it
is. Time Decay is the easiest of the variables to understand. Mathematically it is
understood as 1/(Time Since Action).
• As an Edge ages, it loses value. This helps keep the News Feed fresh with interesting
new content, as opposed to lingering old content.

7. Facebook News Feed Algorithm Formula
What is EdgeRank?. Applum. http://www.whatisedgerank.com

8. While much of what is shown in the Facebook News Feed depends on the
(automatic) algorithm, users also do have some level of control of what they see in
their news feed [01] (while pointing out that many Facebook users might not be
aware of these features and/or their effects on the NewsFeed content shown):
sorting stories
(i.e. content shared on
Facebook)
filtering by friend lists
(created by Facebook users)
switching between 'Top
Stories' & 'Most Recent'
stories
managing updates from
friends
(following, i.e. subscribing to
receiving their content &
adjusting what stories you see
from them)
managing updates from
Facebook Pages
(subscribing to a page's
notifications, checking its
'show in News Feed' button,
adding the Page to a usercreated interest lists)
hiding or unhiding people,
Pages or types of stories
reporting a story and/or
reporting spam
allowing 3rd party
applications using
Facebook Open Graph
features
adjusting user privacy
settings

9. While much of what is shown in the Facebook News Feed depends on the
(automatic) algorithm, users also do have some level of control of what they see in
their news feed [01] (while pointing out that many Facebook users might not be
aware of these features and/or their effects on the NewsFeed content shown):
relationship settings
hiding posts & spam
reporting
('manually' adjustable by
a user; 'learning'
Facebook about what we
want to see)
(Facebook penalizes the
content which is hided
and/or reported by users)
device (we are
employing while using
Facebook) & other
technical
considerations
story bumping
(i.e., reinforcement of the
affinity factor, while
weakening the time
decay factor)
choice of different
feeds
(diversity)
public popularity
(more weight to generally
popular content)
clicking on Facebook
advertisements
viewing other timelines
(Facebook profiles)
chronological by actor
& last actor
(tracking 50 most recent
interactions and giving
more weight to them)
emphasis on visually
engaging stories
(/content)
check-ins & userratings of places
browsing, chatting,
poking, attending
events etc. (i.e. , any
interaction)

10. Content
Personalization
Theoretical Issue
& the reason why every social media marketer
makes an effort to increase the ‘engagement‘
metrics

11. Theoretical issue
The idea of ‘free Web 2.0 participation‘ is challenged by the work of
Lawrence Lessing, who sees the (creators of) algorithms as the
new ‘gatekeepers‘ – ‘code is the new law‘. [03] ‘As the world is
now, code writers are increasingly lawmakers. They determine
what the defaults of the Internet will be; whether privacy will be
protected; the degree to which anonymity will be allowed; the
extent to which access will be guaranteed. They are the ones who
set its nature. Their decisions, now made in the interstices of how
the Net is coded, define what the Net is.’ [03] Similary, the negative
effects of content personalization in online services is a subject of
Parisers ‘The Filtre Bubble’ [04] 2011 book.

12. Literature

13. Literature
[01] How News Feed Works: Facebook Help Centre. FACEBOOK. [online]. Menlo Park,
California, U.S., 2013 [Retrieved 2013-11-08].
https://www.facebook.com/help/327131014036297/
[02] What is EdgeRank? [online]. Chicago, Illinois, U.S.: Applum, 2013 [Retrieved 2013-1108]. http://www.whatisedgerank.com/
[03] PARISER, Eli. The Filtre Bubble: How the New Personalized Web Is Changing What We
Read and How We Think. New York, USA: Penguin Group US, 2011, 304p. ISBN
1101515120; 9781101515129.
[04] LESSIG, Lawrence. Code and Other Laws of Cyberspace. New York, NY, USA: Basic
Books, 1999, 297p. ISBN 04-650-3913-8; 978-0465039135.

14. Outline
research
background
research objectives,
questions &
hypotheses
methodology &
research sample
results
conclusions &
discussion

15. Research Objectives

16. Research Objectives
awareness of
the News Feed
content
selection
awareness of
how they can
affect it
To examine Facebook users’:
actual behavior
(features affecting
content personalisation
usage)

17. Research Questions

18. Research Questions
1)
• Are Facebook users aware of how their Facebook News Feed
content is selected?
2)
• Are Facebook users aware of the different Facebook features
affecting their News Feed content shown?
3)
• Do Facebook users use the different Facebook features affecting
their News Feed content shown?
4)
• Are Facebook users aware of the effects of using the different
Facebook features on their News Feed content shown?

19. Research
hypotheses

20. Hypotheses
Majority of Facebook users is not aware of the Facebook EdgeRank/NewsFeed
algorithm.
Majority of Facebook users is aware of at least half of the Facebook features
affecting their News Feed content shown.
Majority of Facebook users have used at least half of the features affecting their News
Feed content shown.
Majority of Facebook users does not use the features on a regular basis.
There are no significant differences between men & women.
The older the user, the lower the overall awareness.
The higher the education, the higher the overall awareness.
There are no significant differences between different nationalities.

21. Outline
research
background
research objectives,
questions &
hypotheses
methodology &
research sample
results
conclusions &
discussion

22. Methodology

23. Target group
active Facebook
users
(using Facebook at least once a week)

24. Research instrument & sampling
An ONLINE SURVEY
(questionnaire) was
conducted to collect the
data.
Respondents were recruited
using a non-probability
sampling method, the
SNOWBALL SAMPLING
(among ACTIVE
FACEBOOK USERS).

25. Questionnaire structure [average length = 10min]
A typical ‘funnel structure’: starting with questions that are easy for the respondent to answer, following
with more difficult ones & finishing with demographic and other classification questions:
research objective
clarification
filtering question
active Facebook
users only (logingin at least once a
week)
questions about
questions about
question about
respondent’s
the frequency of
respondent’s
respondent‘s
respondent‘s
Facebook usage
awareness of the
awareness of the
frequency
usage of the
different Facebook
NewsFeed
different Facebook
detection
features
algorithm
features
‘have you ever...?‘
usage frequency
usage
questions about
respondent’s
awareness of the
different Facebook
features affecting
their News Feed
content shown
demographic
questions
gender
age
social media
manager /
specialist (or
similar job)
detection
education
acknowledgement
nationality

26. Research Sample
n = 25

27. Research sample
Gender
Age
100%
100%
90%
90%
80%
37.5%
80%
70%
70%
60%
60%
50%
50%
40%
40%
30%
30%
62.5%
30%
20%
20%
10%
10%
0%
70%
0%
female
male
20s
30s

28. Nationality

29. Education
100%
90%
24%
80%
70%
60%
36%
50%
40%
30%
36%
20%
10%
4%
0%
Grammar school
Bachelor's degree (or equivalent)
Master's degree (or equivalent)
Doctoral degree (or equivalent)
High school (or equivalent)

30. less than
once a week
100%
90%
80%
70%
60%
72%
50%
40%
30%
20%
10%
0%
16%
4%
4%4%
4-6 times a
week
2-3 times a
week
Facebook usage
once a week
about once
a day
many times
every day

31. Facebook proficiency
(100% knowledge of all Facebook features)

32. Outline
research
background
research objectives,
questions &
hypotheses
methodology &
research sample
results
conclusions &
discussion

33. Results

34. Facebook News
Feed Algorithm

35. Facebook News Feed Algorithm (/EdgeRank) familiarity
100%
90%
80%
46%
70%
60%
50%
40%
38%
30%
20%
8%
8%
10%
0%
I have no idea
I rather don’t know what this is (but I think I have some idea)
I rather know (but I am not completely sure)
I know for sure
n=24
Do you know what Facebook EdgeRank and/or Facebook News Feed Algorithm is?

36. Knowledge of which Facebook features
affect the algorithm
liking (/becoming fan of) / unliking a page on Facebook
following a page on Facebook
following someone on Facebook
adding a friend or ‘unfriending’ someone
chatting with someone on Facebook
subscribing to notifications from someone (checking ‘get notifications’)
subscribing to notifications from a page (checking ‘get notifications’)
showing someone’s posts in your news feed (checking ’show in news feed’)
showing a page’s posts in your news feed (checking ’show in news feed’)
liking, sharing and/or commenting a post by a person or by a page
following a post by a person or a page
adding a page to interest lists (checking ‘add to interest lists’)
sending messages to someone on Facebook
sorting Facebook posts (/stories) on the Facebook home page by ‘Top Stories’ or ‘Most Recent’ stories
hiding/unhiding a post by a person or a page
adjusting your personal user privacy settings
creating and editing friend lists (e.g. ‘close friends’)
liking, sharing and/or commenting a post by a person or by a page
sorting Facebook posts (/stories) on the Facebook home page by friends lists
reporting a post (/a spam) by a person or a page
poking someone on Facebook
blocking someone’s Facebook profile (/timeline) – not being able to see or contact each other
reporting someone’s Facebook profile (/timeline)
0%
10%
20%
30%
40%
50%
60%
70%
n=24
Please, check all Facebook features that you believe, to some extent influence, which content (statuses, photos, videos, likes etc.) is displayed on your Facebook home page (called News Feed)
80%

37. How many people paid attention to all of the options
Filled the ‘trap question‘ correctly
Chart Title
100%
liking (/becoming fan of) / unliking a…
following a page on Facebook
following someone on Facebook
adding a friend or ‘unfriending’…
chatting with someone on Facebook
subscribing to notifications from…
subscribing to notifications from a…
showing someone’s posts in your…
showing a page’s posts in your…
liking, sharing and/or commenting a…
following a post by a person or a page
adding a page to interest lists…
sending messages to someone on…
sorting Facebook posts (/stories) on…
hiding/unhiding a post by a person…
adjusting your personal user privacy…
creating and editing friend lists (e.g.…
liking, sharing and/or commenting a…
sorting Facebook posts (/stories) on…
reporting a post (/a spam) by a…
poking someone on Facebook
blocking someone’s Facebook…
reporting someone’s Facebook…
90%
80%
32%
70%
60%
50%
40%
30%
68%
20%
10%
0% 10% 20% 30% 40% 50% 60% 70% 80%
0%
n=24
[please, check this option to make sure the questionnaire is displayed correctly (technical message)]

38. Knowledge & usage
of different
Facebook features

39. How many people paid attention to all of the options in the batteries of
questions (the ‘trap question‘ filled correctly)
Knowledge of the features
Usage of the features
100%
100%
90%
90%
25%
80%
80%
70%
70%
60%
60%
50%
50%
40%
40%
12.5%
75%
30%
30%
20%
20%
10%
10%
0%
87.5%
0%
n=24
[please select 'I rather don't know' to make sure the questionnaire is displayed correctly (technical message)]
[please select 'I use it fequently' to make sure the questionnaire is displayed correctly (technical message)]

40. don‘t know
rather
know
know for
sure
never used
before
Adjusting privacy settings
knowledge ► usage
rather
don‘t know
use rarely
use
sometimes
use
frequently
knowledge
usage
4.2%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
n=24
Which of the following Facebook features do you know? [adjusting your personal user privacy settings]
How often do you use the following Facebook features? [adjusting your personal user privacy settings]

41. Showing posts by ‘Top Stories’
or ‘Most Recent’ stories
knowledge ► usage
don‘t know
rather
don‘t know
rather
know
know for
sure
never used
before
use rarely
use
sometimes
use
frequently
knowledge
usage
29%
0%
10%
33%
20%
30%
40%
50%
60%
70%
80%
90%
100%
n=24
Which of the following Facebook features do you know? [sorting Facebook posts (/stories) on the Facebook home page by ‘Top Stories’ or ‘Most Recent’ stories]
How often do you use the following Facebook features? [sorting Facebook posts (/stories) on the Facebook home page by ‘Top Stories’ or ‘Most Recent’ stories]

42. 100% (or nearly 100%) familiarity
adding a friend or
‘unfriending’
someone
liking, sharing
and/or commenting
a post by a person
or by a page
sending messages
to someone on
Facebook
chatting with
someone on
Facebook
poking someone on
Facebook
liking (/becoming
fan of) / unliking a
page on Facebook
n=24
Which of the following Facebook features do you know? [...]

43. Knowledge of the current
‘following‘ feature on Facebook
Following a Page on Facebook
don‘t know
20%
40%
60%
rather
know
know for
sure
Following someone on Facebook
79%
0%
rather
don‘t know
75%
80%
100%
0%
20%
40%
60%
80%
100%
n=24
Which of the following Facebook features do you know? [...]

44. don‘t know
knowledge
21%
usage
29%
0%
10%
rather
know
know for
sure
never used
before
Following a single post by a person or a page
knowledge ► usage
rather
don‘t know
use rarely
use
sometimes
use
frequently
42%
38%
20%
30%
40%
50%
60%
70%
80%
90%
100%
n=24
Which of the following Facebook features do you know? [...]
How often do you use the following Facebook features? [...]

45. Subscribing to notifications from someone
knowledge ► usage
knowledge
29%
usage
10%
rather
don‘t know
rather
know
know for
sure
never used
before
use rarely
use
sometimes
use
frequently
63%
25%
0%
don‘t know
54%
20%
30%
40%
50%
60%
70%
80%
90%
100%
n=24
Which of the following Facebook features do you know? [subscribing to notifications from someone (checking ‘get notifications’)]
How often do you use the following Facebook features? [subscribing to notifications from someone (checking ‘get notifications’)]

46. don‘t know
knowledge
29%
usage
10%
know for
sure
use rarely
use
sometimes
use
frequently
54%
29%
0%
rather
know
never used
before
Subscribing to notifications from a page
knowledge ► usage
rather
don‘t know
33%
20%
30%
40%
50%
60%
70%
80%
90%
100%
n=24
Which of the following Facebook features do you know? [subscribing to notifications from a page (checking ‘get notifications’)]
How often do you use the following Facebook features? [subscribing to notifications from a page (checking ‘get notifications’)]

47. don‘t know
knowledge
25%
usage
10%
know for
sure
use rarely
use
sometimes
use
frequently
54%
25%
0%
rather
know
never used
before
Adding a page to interest lists
knowledge ► usage
rather
don‘t know
46%
20%
30%
40%
50%
60%
70%
80%
90%
100%
n=24
Which of the following Facebook features do you know? [adding a page to interest lists (checking ‘add to interest lists’)]
How often do you use the following Facebook features? [adding a page to interest lists (checking ‘add to interest lists’)]

48. don‘t know
knowledge
25%
usage
10%
know for
sure
use rarely
use
sometimes
use
frequently
67%
29%
0%
rather
know
never used
before
Creating & editing friends lists
knowledge ► usage
rather
don‘t know
42%
20%
30%
40%
50%
60%
70%
80%
90%
100%
n=24
Which of the following Facebook features do you know? [creating and editing friends lists (e.g. ‘close friends’)]
How often do you use the following Facebook features? [creating and editing friends lists (e.g. ‘close friends’)]

49. don‘t know
knowledge
25%
usage
10%
20%
know for
sure
use rarely
use
sometimes
use
frequently
33%
50%
0%
rather
know
never used
before
Sorting posts by friends lists
knowledge ► usage
rather
don‘t know
33%
30%
40%
50%
60%
70%
80%
90%
100%
n=24
Which of the following Facebook features do you know? [sorting Facebook posts (/stories) on the Facebook home page by friends lists]
How often do you use the following Facebook features? [sorting Facebook posts (/stories) on the Facebook home page by friends lists]

50. don‘t know
knowledge
25%
usage
10%
know for
sure
use rarely
use
sometimes
use
frequently
67%
25%
0%
rather
know
never used
before
Showing someone‘s post in NewsFeed
knowledge ► usage
rather
don‘t know
25%
20%
30%
40%
50%
60%
70%
80%
90%
100%
n=24
Which of the following Facebook features do you know? [showing someone’s posts in your news feed (checking ’show in news feed’)]
How often do you use the following Facebook features? [showing someone’s posts in your news feed (checking ’show in news feed’)]

51. Showing a page’s posts in your news feed
knowledge ► usage
knowledge
25%
usage
10%
20%
rather
don‘t know
rather
know
know for
sure
never used
before
use rarely
use
sometimes
use
frequently
67%
25%
0%
don‘t know
25%
30%
40%
50%
60%
70%
80%
90%
100%
n=24
Which of the following Facebook features do you know? [showing a page’s posts in your news feed (checking ’show in news feed’)]
How often do you use the following Facebook features? [showing a page’s posts in your news feed (checking ’show in news feed’)]

52. don‘t know
knowledge
17%
usage
10%
know for
sure
use rarely
use
sometimes
use
frequently
75%
21%
0%
rather
know
never used
before
Hiding/unhiding a post by a person or a page
knowledge ► usage
rather
don‘t know
42%
20%
30%
40%
50%
60%
70%
80%
90%
100%
n=24
Which of the following Facebook features do you know? [...]
How often do you use the following Facebook features? [...]

53. don‘t know
knowledge
21%
usage
10%
20%
know for
sure
use rarely
use
sometimes
use
frequently
67%
54%
0%
rather
know
never used
before
Reporting a post by a person or a page
knowledge ► usage
rather
don‘t know
30%
38%
40%
50%
60%
70%
80%
90%
100%
n=24
Which of the following Facebook features do you know? [reporting a post (/a spam) by a person or a page]
How often do you use the following Facebook features? [reporting a post (/a spam) by a person or a page]

54. don‘t know
knowledge
42%
usage
10%
20%
30%
know for
sure
use rarely
use
sometimes
use
frequently
50%
63%
0%
rather
know
never used
before
Reporting someone‘s profile/timeline
knowledge ► usage
rather
don‘t know
21%
40%
50%
60%
70%
80%
90%
100%
n=24
Which of the following Facebook features do you know? [reporting someone’s Facebook profile (/timeline)]
How often do you use the following Facebook features? [reporting someone’s Facebook profile (/timeline)]

55. don‘t know
knowledge
38%
usage
10%
20%
30%
know for
sure
use rarely
use
sometimes
use
frequently
50%
58%
0%
rather
know
never used
before
Reporting a page
knowledge ► usage
rather
don‘t know
29%
40%
50%
60%
70%
80%
90%
100%
n=24
Which of the following Facebook features do you know? [...]
How often do you use the following Facebook features? [...]

56. don‘t know
knowledge
33%
usage
10%
20%
know for
sure
use rarely
use
sometimes
use
frequently
63%
54%
0%
rather
know
never used
before
Blocking someone‘s profile/timeline
knowledge ► usage
rather
don‘t know
30%
38%
40%
50%
60%
70%
80%
90%
100%
n=24
Which of the following Facebook features do you know? [blocking someone’s Facebook profile (/timeline) – not being able to see or contact each other]
How often do you use the following Facebook features? [blocking someone’s Facebook profile (/timeline) – not being able to see or contact each other]

57. Outline
research
background
research objectives,
questions &
hypotheses
methodology &
research sample
results
conclusions &
discussion

58. Conclusions
about regular Facebook users in their 20s,
University students

59. Conclusions
Majority of
Facebook users
is not aware of
the Facebook
EdgeRank /
NewsFeed
algorithm.
• seems to be true
• (excluding social media managers/specialists) nearly no regular Facebook
user knows about it
Majority of
Facebook users
is aware of at
least half of the
Facebook
features
affecting their
News Feed
content shown.
• doesn‘t seem to be true
• Facebook users are rather aware of the influence of their their ‘affirmative‘
actions (liking, sharing, commenting befriending, following, subscribing) than
the influence of their ‘private‘ interactions with other users (messages,
chatting), their ‘private‘ actions (adjusting privacy settings, creating & editing
friends lists, sorting Facebook posts) and/or of their ‘negative‘ actions
(hiding, reporting & blocking something)

60. Conclusions
Majority of
Facebook users • seems to be true
have used at
but (related to the next point)
least half of the
• more than half of the Facebook users seem to be rather ‘passive‘ consumers of the News
features
Feed content shown (not adjusting it in any way even though they seem to know about some
affecting their
ways of how to do it)
News Feed
content shown.
• seems to be true
moreover
Majority of
• in general, more than half of the users have never reported or blocked anything on Facebook
Facebook users
• people rather subscribe to notifications from a page than from a person
does not use
• majority of Facebook users know about the interest and/or friend list feature but only about 1/3
the features on
of them actually use it
a regular basis.
• there are still some users (even among University students) who have never adjusted their
privacy settings

61. Conclusions
There are no significant differences between
men & women.
The older the user, the lower the overall
awareness.
The higher the education, the higher the
overall awareness.
There are no significant differences between
different nationalities.
• N/A due to a limited sample

62. What have we learned?
if we, University students in their
20s, really live in a filtre bubble
while being controlled by
algorithms, they /we don‘t care
enough =)
increasing the engagement of
your posts (i.e. any interaction
with your posts) still seems to
be the best practice of
increasing your overall
Facebook visibility since not
many users will ‘filter you out‘
manually

63. Discussion

64. Biases & limitations
coverage,
sampling & nonresponse errors
• non-probability (snowball sampling), selection bias (self-selection) &
English speaking people only - possibly higher education & younger
(even though respondets were asked to re-send the questionnaire to
various educational & age groups, it did not work)
matrix grids
(/long batteries of
questions) prone
to satisficing
• identification
• by ‘trap questions‘ – verifying whether respondents paid attention to
all of the options in the batteries of questions
• prevention
• knowledge of which Facebook features affect the algorithm should
be rather detected using several yes/no questions than one question
with many checkboxes

65. Suggested improvements
# of questions in batteries
reduction
adding questions related
to Facebook News Feed
Algorithm
add tracking / data mining
(using FQL & Graph API)
suggested analysis
(larger sample needed)
• merging some similar questions with insignificant variance
• devices used to access Facebook, browser X application, commercial
content recognition, groups, applications, events etc.
• combining or substituting (if possible) self-reported data with behavioral
(/service usage) data
• socio-demographic differentiation by correlations, ANOVA, regression,
cluster analysis (education, age, nationality, gender, service usage
frequency etc.) and user typology according to the service usage patterns

66. January 2014
FACEBOOK NEWS FEED ALGORITHM:
FACEBOOK USERS’ AWARENESS
PILOT TESTING
(n=25)
PRELIMINARY RESEARCH DESIGN & OUTPUT SAMPLES
(very limited generalisation)
JAKUB RŮŽIČKA
jameslittlerose@gmail.com
cz.linkedin.com/in/littleROSE