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Unfriending on Facebook:
      Friend Request and
Online/Offline Behavior Analysis
         Christopher Sibona
      Advisor: Steven Walczak
        Information Systems
        The Business School
    University of Colorado Denver
Presentation
•   Overview
•   Background
•   Initial Model
•   Instrument Design
•   Data Collection
•   Methodology
•   Results
•   Limitations
•   Implications
•   Future Research
Research Questions
1. What is the role of the friend request in
   unfriending decisions.

2. Can factors in unfriending decisions be found
   and do differences in the perception of
   online and offline behaviors vary depending
   on the unfriending decision.
Overview
The research results show that the initiator of the friend
  request has more than their expected share of unfriends
  compared to those who receive the friend request.

Survey respondents who said they unfriended for online
  reasons were more likely to agree that the person
  posted:
  1.   Too frequently about unimportant topics
  2.   Polarizing topics
  3.   Inappropriate topics
  4.   Everyday life topics compared to those who unfriended for
       offline reasons
Background
• Unfriend was named the word of the year by
  the New Oxford American Dictionary for 2009
  (Goldsmith, 2009).
• unfriend – verb – To remove someone as a
  ‘friend’ on a social networking site such as
  Facebook.
Online Social Networks
The systems allow individuals to
1. Construct a public or semi-public profile
   within a bounded system,
2. Articulate a list of other users with whom
   they share a connection, and
3. View and traverse their list of connections
   and those made by others within the system
    boyd and Ellison, 2007
Friendship Formation and Dissolution
• Friendships created with those who share
  similar values (Lea and Duck, 1982;
  McPherson et al., 2001)
• People tend to create friendships with those
  who share a similar race and ethnicity
  followed by age, religion, education,
  occupation and gender and roughly in that
  order (McPherson et al., 2001).
Friendship Model
                  Paul Wright, 1969

• Voluntary Interdependence
• Difficult-to-maintain
• Values of Friendship
  – Stimulation
  – Utility
  – Ego
Friendship Process
Four elements:
1. P must desire to have O as a friend
   (attraction)
2. P must initiate a move to establish a
   friendship with O.
3. O must recognize P’s overture of friendship.
4. O must reciprocate P’s offer of friendship

     Hallinan, 1979
Facebook
• One person initiates a friend request and one
  person receives the request
• If the friend request is accepted the two
  becomes friends on Facebook
• It takes agreement to become friends on
  Facebook
• Visible links are generated
• The friend request is very clear in the online
  environment compared to real life
Friendship Dissolution
• Not simply friendship formation in reverse
• Some friendships end in conflict but most friendships
  fade away
• No permission needed to end a friendship in either
  the online or offline world
• In the online world it is clear that someone made a
  conscious decision to unfriend the other.
• Online unfriending does not necessarily mean offline
  unfriending
   Duck, 1982; Sprecher and Fehr, 1998; Baxter, 1979.
Netiquette
• Formal and social rules can govern what is
  posted online
• 15% of all messages in Usenet forums are
  considered conduct correcting (Smith et al.,
  1997)
• Facebook has formal rules
• Facebook users can act as moderators to their
  wall – delete posts, limited profiles
• Ultimately, Facebook users can unfriend those
  whose posts are troubling
What Americans do online
  Rank    Category                    2010 Share of     2009 Share of    % Change
                                      time              time
  1       Social Networks             22.7%             15.8%            43%
  2       Online Games                10.2%             9.3%             10%
  3       E-mail                      8.3%              11.5%            -28%
  4       Portals                     4.4%              5.5%             -19%
  5       Instant Messaging           4.0%              4.7%             -15%
  6       Videos/Movies               3.9%              3.5%             12%
  7       Search                      3.5%              3.4%             1%
  8       Software Manufacturers      3.3%              3.3%             0%
  9       Multi-category              2.8%              3.-%             -7%
          Entertainment
  10      Classifieds/Auctions        2.7%              2.7%             -2%
          Other                       34.3%             37.3%            -8%
Nielsen, August 2010: http://blog.nielsen.com/nielsenwire/online_mobile/what-americans-do-
online-social-media-and-games-dominate-activity/
Media Roundup
• People like lists:
   – 10 signs you should unfriend someone on
     Facebook
   – 12 great tales of de-friending
   – 8 types of people to unfollow on Twitter or
     Defriend on Facebook
   – 8 signs you should unfriend someone on Facebook
   – 7 reasons to unfriend someone on Facebook
• Articles give people permission to others to
  unfriend
Data Collection
Stats:
• 4,961 recruitment tweets sent
• 1,137 survey completed – 2,084 surveys
  started – 54.6% of those who started the
  survey finished
• Overall response rate is 42.0%
• Response rate for those who completed 22.9%
• Total number of tweets sent 6,935
Recruitment Tweets
Sample tweet screened for recruitment from @X:
@Y You can always 'defriend' on FB, no? You
  should always have the option of 'correcting'
  your mistakes. :P
Recruitment Tweet from @UnfriendStudy:
@X I saw your tweet about unfriending.I have a
  survey:
  http://www.surveymonkey.com/s/unfriend-t
  Your input very important.PhD stdnt
Friend Request – Unfriend Decision
700



600



500



400

                                           Unfriend Decision

300                                        Expected



200



100



  0
      I initiated   Other initiated   DK
Friend Request – Unfriended By
300




250




200




150                                           Unfriended By
                                              Expected


100




50




  0
         I initiated   Other initiated   DK
Construct Creation
• Four online constructs and two offline
• Online
   – Unimportant/frequent, polarizing posts, inappropriate
     posts and everyday life posts
• Offline
   – Disliked Behavior
   – Change in Relationship
• Questions moved to more appropriate constructs:
   – Racist: from polarizing to inappropriate.
   – New Information: from behavior to change
Reliability
Measure         Questions                                Cronbach’s   Num of
                                                         alpha        Qtns
Unimportant     Unimportant, Frequent                    .693         2
/Frequent

Polarizing      Politics, Religion                       .766         2
Inappropriat    Inappropriate, sex, swearing, sexist,    .826         6
e               racist, unflattering
Everyday Life   Exercise, purchases, eating, money,      .917         11
                job, celebrities, pets, sports,
                promotion, child, spouse
Behavior        Did misdeed, dislike, behavior,          .920         7
                personality, trust, betray, broke rule

Change          Divorce, romantic end, incompatible      .677         5
                friends, geography, new information
Implications
• Those who are negatively affected by
  unfriending may wish to avoid certain
  behaviors
• They may want to avoid posting too frequently
  about unimportant topics, posting about
  polarizing topics, posting about inappropriate
  topics, and posting about everyday life.
• Narrowcast postings to those who may be
  interested in your posts
Facebook Implications
• Facebook’s mission is to: “give people the
  power to share and make the world more
  open and connected.”
• Bundle posts from users who post frequently
• Promote lists, make them easier to use
• Machine learning – let people code which
  kinds of posts they are interested in seeing
  and avoid those they are not interested in
  seeing
Lessons?
•   Friendship model
•   Voluntary interdependence
•   Difficult-to-maintain
•   Values
    – Stimulation – be entertaining – be interesting – “I don’t
      care what you had for breakfast – unless it was awesome.”
    – Utility – economic (promotion) non-economic
      (information, fix problems, etc.)
    – Ego-support – Products can support ego – smart phones,
      smart car, smart food, intelligent office, “choosy Moms
      choose Jif,” “We lost your luggage but are looking for it.”
Thank you
    -
Questions?

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Facebook Unfriend Study shrt

  • 1. Unfriending on Facebook: Friend Request and Online/Offline Behavior Analysis Christopher Sibona Advisor: Steven Walczak Information Systems The Business School University of Colorado Denver
  • 2. Presentation • Overview • Background • Initial Model • Instrument Design • Data Collection • Methodology • Results • Limitations • Implications • Future Research
  • 3. Research Questions 1. What is the role of the friend request in unfriending decisions. 2. Can factors in unfriending decisions be found and do differences in the perception of online and offline behaviors vary depending on the unfriending decision.
  • 4. Overview The research results show that the initiator of the friend request has more than their expected share of unfriends compared to those who receive the friend request. Survey respondents who said they unfriended for online reasons were more likely to agree that the person posted: 1. Too frequently about unimportant topics 2. Polarizing topics 3. Inappropriate topics 4. Everyday life topics compared to those who unfriended for offline reasons
  • 5. Background • Unfriend was named the word of the year by the New Oxford American Dictionary for 2009 (Goldsmith, 2009). • unfriend – verb – To remove someone as a ‘friend’ on a social networking site such as Facebook.
  • 6. Online Social Networks The systems allow individuals to 1. Construct a public or semi-public profile within a bounded system, 2. Articulate a list of other users with whom they share a connection, and 3. View and traverse their list of connections and those made by others within the system boyd and Ellison, 2007
  • 7. Friendship Formation and Dissolution • Friendships created with those who share similar values (Lea and Duck, 1982; McPherson et al., 2001) • People tend to create friendships with those who share a similar race and ethnicity followed by age, religion, education, occupation and gender and roughly in that order (McPherson et al., 2001).
  • 8. Friendship Model Paul Wright, 1969 • Voluntary Interdependence • Difficult-to-maintain • Values of Friendship – Stimulation – Utility – Ego
  • 9. Friendship Process Four elements: 1. P must desire to have O as a friend (attraction) 2. P must initiate a move to establish a friendship with O. 3. O must recognize P’s overture of friendship. 4. O must reciprocate P’s offer of friendship Hallinan, 1979
  • 10. Facebook • One person initiates a friend request and one person receives the request • If the friend request is accepted the two becomes friends on Facebook • It takes agreement to become friends on Facebook • Visible links are generated • The friend request is very clear in the online environment compared to real life
  • 11. Friendship Dissolution • Not simply friendship formation in reverse • Some friendships end in conflict but most friendships fade away • No permission needed to end a friendship in either the online or offline world • In the online world it is clear that someone made a conscious decision to unfriend the other. • Online unfriending does not necessarily mean offline unfriending Duck, 1982; Sprecher and Fehr, 1998; Baxter, 1979.
  • 12. Netiquette • Formal and social rules can govern what is posted online • 15% of all messages in Usenet forums are considered conduct correcting (Smith et al., 1997) • Facebook has formal rules • Facebook users can act as moderators to their wall – delete posts, limited profiles • Ultimately, Facebook users can unfriend those whose posts are troubling
  • 13. What Americans do online Rank Category 2010 Share of 2009 Share of % Change time time 1 Social Networks 22.7% 15.8% 43% 2 Online Games 10.2% 9.3% 10% 3 E-mail 8.3% 11.5% -28% 4 Portals 4.4% 5.5% -19% 5 Instant Messaging 4.0% 4.7% -15% 6 Videos/Movies 3.9% 3.5% 12% 7 Search 3.5% 3.4% 1% 8 Software Manufacturers 3.3% 3.3% 0% 9 Multi-category 2.8% 3.-% -7% Entertainment 10 Classifieds/Auctions 2.7% 2.7% -2% Other 34.3% 37.3% -8% Nielsen, August 2010: http://blog.nielsen.com/nielsenwire/online_mobile/what-americans-do- online-social-media-and-games-dominate-activity/
  • 14. Media Roundup • People like lists: – 10 signs you should unfriend someone on Facebook – 12 great tales of de-friending – 8 types of people to unfollow on Twitter or Defriend on Facebook – 8 signs you should unfriend someone on Facebook – 7 reasons to unfriend someone on Facebook • Articles give people permission to others to unfriend
  • 15. Data Collection Stats: • 4,961 recruitment tweets sent • 1,137 survey completed – 2,084 surveys started – 54.6% of those who started the survey finished • Overall response rate is 42.0% • Response rate for those who completed 22.9% • Total number of tweets sent 6,935
  • 16. Recruitment Tweets Sample tweet screened for recruitment from @X: @Y You can always 'defriend' on FB, no? You should always have the option of 'correcting' your mistakes. :P Recruitment Tweet from @UnfriendStudy: @X I saw your tweet about unfriending.I have a survey: http://www.surveymonkey.com/s/unfriend-t Your input very important.PhD stdnt
  • 17. Friend Request – Unfriend Decision 700 600 500 400 Unfriend Decision 300 Expected 200 100 0 I initiated Other initiated DK
  • 18. Friend Request – Unfriended By 300 250 200 150 Unfriended By Expected 100 50 0 I initiated Other initiated DK
  • 19. Construct Creation • Four online constructs and two offline • Online – Unimportant/frequent, polarizing posts, inappropriate posts and everyday life posts • Offline – Disliked Behavior – Change in Relationship • Questions moved to more appropriate constructs: – Racist: from polarizing to inappropriate. – New Information: from behavior to change
  • 20. Reliability Measure Questions Cronbach’s Num of alpha Qtns Unimportant Unimportant, Frequent .693 2 /Frequent Polarizing Politics, Religion .766 2 Inappropriat Inappropriate, sex, swearing, sexist, .826 6 e racist, unflattering Everyday Life Exercise, purchases, eating, money, .917 11 job, celebrities, pets, sports, promotion, child, spouse Behavior Did misdeed, dislike, behavior, .920 7 personality, trust, betray, broke rule Change Divorce, romantic end, incompatible .677 5 friends, geography, new information
  • 21. Implications • Those who are negatively affected by unfriending may wish to avoid certain behaviors • They may want to avoid posting too frequently about unimportant topics, posting about polarizing topics, posting about inappropriate topics, and posting about everyday life. • Narrowcast postings to those who may be interested in your posts
  • 22. Facebook Implications • Facebook’s mission is to: “give people the power to share and make the world more open and connected.” • Bundle posts from users who post frequently • Promote lists, make them easier to use • Machine learning – let people code which kinds of posts they are interested in seeing and avoid those they are not interested in seeing
  • 23. Lessons? • Friendship model • Voluntary interdependence • Difficult-to-maintain • Values – Stimulation – be entertaining – be interesting – “I don’t care what you had for breakfast – unless it was awesome.” – Utility – economic (promotion) non-economic (information, fix problems, etc.) – Ego-support – Products can support ego – smart phones, smart car, smart food, intelligent office, “choosy Moms choose Jif,” “We lost your luggage but are looking for it.”
  • 24. Thank you - Questions?

Hinweis der Redaktion

  1. Social networking users surpass the number of email users in July 2009.Social networking time online surpasses email minutes online in November 2007.Morgan Stanleyhttp://www.morganstanley.com/institutional/techresearch/pdfs/Internet_Trends_041210.pdf