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Building Loyalty to Online Communities through Bond and Identity-based Attachment to Sub-Groups Yla R. Tausczik Laura A. Dabbish Robert E. Kraut Carnegie.

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Presentation on theme: "Building Loyalty to Online Communities through Bond and Identity-based Attachment to Sub-Groups Yla R. Tausczik Laura A. Dabbish Robert E. Kraut Carnegie."— Presentation transcript:

1 Building Loyalty to Online Communities through Bond and Identity-based Attachment to Sub-Groups Yla R. Tausczik Laura A. Dabbish Robert E. Kraut Carnegie Mellon University

2 Sustaining Online Communities

3 “Wikipedia is not a social networking service like Facebook or Twitter.” - Wikipedia Guidelines

4 Social Design Features

5 Social Attachment

6 Community Loyalty

7 Bond- based Identity-based Interpersonal Attraction Group Identification

8 Bond- basedIdentity-based

9 Small Group Attachment Sassenberg (2002) – IRC channels Farzan et al. (2011) – Groups of Tetris players Ren et al. (2012) – MovieLens users

10 Goals 1.Show compelling evidence that attachment to subgroups underlies the effect of social design features on site loyalty 2.To evaluate whether there are two distinct types of attachment

11 Study 1

12 Study 1 - Hypotheses Hypothesis 1: Assigning Turkers to communicating groups will increase their loyalty to Mechanical Turk and their employer by increasing feelings of attachment to work groups. Hypothesis 2: Structuring group work and communication in pairs or as a group as a whole will differentially create bond or identity-based attachment respectively.

13 Study 1 - Method Participants – 606 participants – 52% female – 18 to 68 years old (M = 31.5) – 76% US, 19% India, 5% Other 85.0% completion rate

14 Study 1 - Method Procedure HIT Group Assignment TaskQuestionnaires

15 Study 1 - Method

16

17

18 Independent Variables – Level of Interaction (Independent, Awareness, Communication) – Work Group Type (Dyadic, Group) Dependent Variables – Community Loyalty – Self-Reported Attachment (Bond, Identity)

19 Study 1 - Community Loyalty Log likelihood ratio test = 12.4, p = 0.002, N = 369, Groups = 123 **

20 Study 1 – Mediation Analysis Employer Commitmen t Level of Interaction t(105) = 2.91, p < 0.001 Subgroup Attachment

21 Study 1 – Mediation Analysis Subgroup Attachment Employer Commitmen t Level of Interaction t(105) = 9.06, p <0.001 t(212) = 9.78, p < 0.001 t(105) = -1.44, p = 0.15

22 Study 1 – Attachment Type t(135) = 2.38, p = 0.02, d = 0.41, N = 137, Groups = 46

23 Study 1 - Summary Hypothesis 1: Attachment to one’s work group helps explain why allowing communication results in greater community loyalty Hypothesis 2: The type of communication allowed differentially creates identity- attachment, but not bond-attachment to work groups

24 Bond- based Identity-based Interpersonal Attraction Group Identification

25 Study 2 - Hypotheses Hypothesis 3: Bond and identity attachment should have different observable downstream consequences.

26 Study 2 - Hypotheses Hypothesis 3a: Identity attachment will lead Turkers to remain in the group when another group member leaves. Hypothesis 3b: Continue Relationship Hypothesis 3c: Equal Bonus Hypothesis 3d: Disagreement

27 Study 2 - Method Participants – 801 participants – 47% female – 18 to 74 years old (M = 32.0) – 74% US, 23% India, 2% Other 85.0% completion rate

28 Study 2 - Method Procedure HIT Group Assignment TaskQuestionnaires 1 person forced to drop

29 Study 2 - Method

30 Independent Variables – Work Group Type (Dyadic, Group) Dependent Variables – 4 Downstream Outcomes (Dropout, Equal Bonus, Disagreement, Continue Relationship)

31 Study 2 – Downstream Consequences Downstream Consequence DyadsGroupStatistical Test Dropout6.5%5.6%X 2 (3) = 2.75, p = 0.43

32 Study 2 – Downstream Consequences Downstream Consequence DyadsGroupStatistical Test Dropout6.5%5.6%X 2 (3) = 2.75, p = 0.43 Continue Relationship 21%35%X 2 (3) = 3.43, p = 0.33

33 Study 2 – Downstream Consequences Downstream Consequence DyadsGroupStatistical Test Dropout6.5%5.6%X 2 (3) = 2.75, p = 0.43 Continue Relationship 21%35%X 2 (3) = 3.43, p = 0.33 Equal Bonus71%83%X 2 (3) = 4.93, p = 0.18

34 Study 2 – Downstream Consequences Downstream Consequence DyadsGroupStatistical Test Dropout6.5%5.6%X 2 (3) = 2.75, p = 0.43 Continue Relationship 21%35%X 2 (3) = 3.43, p = 0.33 Equal Bonus71%83%X 2 (3) = 4.93, p = 0.18 Disagreement0.57 (0.43)0.50 (0.31)L ratio = 1.40, p = 0.71

35 Study 2 - Summary Hypothesis 3: There were no downstream consequences of the different attachment types.

36 General Discussion 1.Show compelling evidence that attachment to subgroups underlies the effect of social design features on site loyalty Strong Evidence 1.To evaluate whether there are two distinct types of attachment Weak Evidence

37 Are bond- and identity- attachment distinct? Strongly Overlapping? Differentiate over time?

38 Design Implications 1.Incorporate social design features a.As long as they encourage attachment 2.Encourage whatever attachment is easiest a.Often identity attachment

39 Questions? Yla Tausczik ylataus@cs.cmu.edu Thanks to NSF for funding (grant OCI-0943168) and to Tom Postmes for his advice.


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