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Anonymity and Conflict in
                             Metafilter.com:
                      The relationship between identity
                    performance and discourse strategies

                              Kris M. Markman, Ph.D.
                                  University of Memphis
                                  Kumi Ishii, Ph.D.
                              Western Kentucky University
                              IR 12: Performance & Participation
                               October 11, 2011 Seattle, WA



Monday, October 17, 11
Background
                  Early CMC research linked lack of nonverbal cues &
                  anonymity to conflict, hostility & aggression (“flaming”)
                  Later research emphasized strategic self-presentation &
                  hyperpersonal aspects
                  Dearth of research on management of conflict in online
                  communities and identity performance
                  Research Question: What is the relationship between
                  participants’ degree of anonymity and their discursive
                  strategies in online conflict?


Monday, October 17, 11
Anonymity & Identity
                              Performance
                         Anonymity: the “degree to which a communicator
                         perceives the message source as unknown or
                         unspecified’’ (Anonymous, 1998, p. 387)
                         Operationalized as amount of self-disclosure on
                         profile page
                            All MetaFilter members are pseudonymous
                            Pseudonyms (user names) may be associated
                            with range of personally identifying information

Monday, October 17, 11
MetaFilter Profiles




Monday, October 17, 11
Data and Method
                  2009 MetaTalk thread discussing a proposed site
                  change
                         511 unique members, 2240 comments
                  Profile pages coded for identity information
                  Comments coded for discursive strategies:
                         3 categories coded by human coders
                           (nonverbal cues, address terms, quoting)
                         Linguistic Inquiry & Word Count (LIWC) software
                         used to generate frequencies in a range of
                         categories

Monday, October 17, 11
Profile Coding
                                            Percent
                Category
                                            disclosed
                First & last name           27%
                Ambiguous or partial name   28%
                Email address               44%
                URL                         38%
                Likely picture              21%
                Latitude/longitude link     65%
                Some location information   61%
                Likely occupation           29%
                Age                         25%
                Relationship status         36%
                About text                  60%
                IM services                 M=.3, max=5
                Social applications         M=1.9, max=19
Monday, October 17, 11
Population
                           M=11.45; SD= 7.98
       Anonymity Score
                           range 0 (high anon) - 38 (low anon)


                           M= 4.02 years; SD= 2.39 years
       Membership Time
                           range 2.86 weeks - 10.25 years

       Engagement with MeFi M= 9.8 comments; SD= 12.77
       (avg. comments/wk)   range .02 - 81.96 comments



Monday, October 17, 11
What is the relationship between
                participants’ degree of anonymity and their
                discursive strategies in online conflict?


                  *Anonymity was negatively related to use of address
                  terms and nonverbal cues, and positively related to use
                  of positive emotion words

                  *Most anonymous and most identifiable groups had
                  identical means on negative emotion




Monday, October 17, 11
Anonymity and discourse
                               strategies
                                High ANON (M=.14, SD=.266)
     Address terms              Low ANON (M=.22, SD=.318)
                                t(269)=-2.218, p<.05

                                High ANON (M=.25, SD=.343)
     Cue use                    Low ANON (M=.37, SD=.393)
                                t(269)=-2.65, p<.01

                                High ANON (M=5.58, SD=3.4)
     Positive emotion
                                Low ANON (M=4.68, SD=2.93)
     words
                                t(269)=2.335, p<.05

Monday, October 17, 11
Discourse style and ....?
                  Membership time was related to anonymity (r=.
                  21, p<.001), but not to any discourse variables
                  Engagement was marginally related to:
                         quoting (τb=.183, p<.001)
                         address terms (τb=.132, p<.001)
                         swearing (τb=.154, p<.001)
                         anger (τb=.105, p<.01)


Monday, October 17, 11
Engagement and
                         discourse strategies
                              High ENGAGE (M=.37, SD=.357)
          Quoting             Low ENGAGE (M=.18, SD=.331)
                               t(253)=-4.399, p<.001)

                              High ENGAGE (M=.876, SD=1.36)
          Anger               Low ENGAGE (M=.552, SD=1.06)
                               t(253)=-2.118, p<.05

                              High ENGAGE (M=86.85, SD=74.1)
          Word count          Low ENGAGE (M=110.4, SD=102.27)
                              t(253)=2.104, p<.05


Monday, October 17, 11
Anonymity &
                               Engagement
                             ANONGRP * ENGAGEGRP Crosstabulation

            Count
                                             ENGAGEGRP
                                   1         2       3             4         Total
            ANONGRP      1              50      34      29              26      139
                         2              29      31      31              29      120
                         3              26      37      29              28      120
                         4              23      26      39              44      132
            Total                      128     128     128             127      511


                  The most anonymous users were more likely to be
                  the least engaged; the most engaged users were
                  more likely to be the least anonymous
                  (χ2(9,511)=21.602, p=.01)

Monday, October 17, 11
Whither the GRAR?
                  Overall LIWC data showed relatively low levels of
                  negative emotion, anger & swearing
                         GRAR is in the eye of the beholder
                     Most engaged people were the most identifiable,
                     but also displayed the most “aggression”
                         More anonymous people displayed more
                         positive emotion
                     Context matters!


Monday, October 17, 11
Thank you!
                         Contact: k.markman@memphis.edu
                            Twitter: @DiscourseMarker




Monday, October 17, 11

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Markman IR12 presentation

  • 1. Anonymity and Conflict in Metafilter.com: The relationship between identity performance and discourse strategies Kris M. Markman, Ph.D. University of Memphis Kumi Ishii, Ph.D. Western Kentucky University IR 12: Performance & Participation October 11, 2011 Seattle, WA Monday, October 17, 11
  • 2. Background Early CMC research linked lack of nonverbal cues & anonymity to conflict, hostility & aggression (“flaming”) Later research emphasized strategic self-presentation & hyperpersonal aspects Dearth of research on management of conflict in online communities and identity performance Research Question: What is the relationship between participants’ degree of anonymity and their discursive strategies in online conflict? Monday, October 17, 11
  • 3. Anonymity & Identity Performance Anonymity: the “degree to which a communicator perceives the message source as unknown or unspecified’’ (Anonymous, 1998, p. 387) Operationalized as amount of self-disclosure on profile page All MetaFilter members are pseudonymous Pseudonyms (user names) may be associated with range of personally identifying information Monday, October 17, 11
  • 5. Data and Method 2009 MetaTalk thread discussing a proposed site change 511 unique members, 2240 comments Profile pages coded for identity information Comments coded for discursive strategies: 3 categories coded by human coders (nonverbal cues, address terms, quoting) Linguistic Inquiry & Word Count (LIWC) software used to generate frequencies in a range of categories Monday, October 17, 11
  • 6. Profile Coding Percent Category disclosed First & last name 27% Ambiguous or partial name 28% Email address 44% URL 38% Likely picture 21% Latitude/longitude link 65% Some location information 61% Likely occupation 29% Age 25% Relationship status 36% About text 60% IM services M=.3, max=5 Social applications M=1.9, max=19 Monday, October 17, 11
  • 7. Population M=11.45; SD= 7.98 Anonymity Score range 0 (high anon) - 38 (low anon) M= 4.02 years; SD= 2.39 years Membership Time range 2.86 weeks - 10.25 years Engagement with MeFi M= 9.8 comments; SD= 12.77 (avg. comments/wk) range .02 - 81.96 comments Monday, October 17, 11
  • 8. What is the relationship between participants’ degree of anonymity and their discursive strategies in online conflict? *Anonymity was negatively related to use of address terms and nonverbal cues, and positively related to use of positive emotion words *Most anonymous and most identifiable groups had identical means on negative emotion Monday, October 17, 11
  • 9. Anonymity and discourse strategies High ANON (M=.14, SD=.266) Address terms Low ANON (M=.22, SD=.318) t(269)=-2.218, p<.05 High ANON (M=.25, SD=.343) Cue use Low ANON (M=.37, SD=.393) t(269)=-2.65, p<.01 High ANON (M=5.58, SD=3.4) Positive emotion Low ANON (M=4.68, SD=2.93) words t(269)=2.335, p<.05 Monday, October 17, 11
  • 10. Discourse style and ....? Membership time was related to anonymity (r=. 21, p<.001), but not to any discourse variables Engagement was marginally related to: quoting (τb=.183, p<.001) address terms (τb=.132, p<.001) swearing (τb=.154, p<.001) anger (τb=.105, p<.01) Monday, October 17, 11
  • 11. Engagement and discourse strategies High ENGAGE (M=.37, SD=.357) Quoting Low ENGAGE (M=.18, SD=.331) t(253)=-4.399, p<.001) High ENGAGE (M=.876, SD=1.36) Anger Low ENGAGE (M=.552, SD=1.06) t(253)=-2.118, p<.05 High ENGAGE (M=86.85, SD=74.1) Word count Low ENGAGE (M=110.4, SD=102.27) t(253)=2.104, p<.05 Monday, October 17, 11
  • 12. Anonymity & Engagement ANONGRP * ENGAGEGRP Crosstabulation Count ENGAGEGRP 1 2 3 4 Total ANONGRP 1 50 34 29 26 139 2 29 31 31 29 120 3 26 37 29 28 120 4 23 26 39 44 132 Total 128 128 128 127 511 The most anonymous users were more likely to be the least engaged; the most engaged users were more likely to be the least anonymous (χ2(9,511)=21.602, p=.01) Monday, October 17, 11
  • 13. Whither the GRAR? Overall LIWC data showed relatively low levels of negative emotion, anger & swearing GRAR is in the eye of the beholder Most engaged people were the most identifiable, but also displayed the most “aggression” More anonymous people displayed more positive emotion Context matters! Monday, October 17, 11
  • 14. Thank you! Contact: k.markman@memphis.edu Twitter: @DiscourseMarker Monday, October 17, 11