repair structures in online communication
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Repair Organization in communication in a Social
Networking Site : Facebook
Project Members
Sahar Al ZahraniYusop BoonsukAli Karakas
Outline
Research Questions
Data Analysis and ResultsDemographic DataData analysis ProceduresFindings
ConclusionSummaryLimitations of the studyRecommendations & Evaluation of the Project
Research Questions
How do users of FB engage in repair organization
while communicating via FB?
Are there any differences between ordinary
conversation and written online communication in
term of repair organization? If so, what are the
differences and implications for users of SNS?
Data Analysis and Results
Demographic Data
Data analysis Procedures
Findings
Demographic data
f %
Gender
Male 4 40
Female 6 60
Total 10 100
Nationality
Turkish 3 30
Polish 4 40
French 1 10
Dutch 1 10
Arabian 1 10
Participants
10 undergraduate Ss.
Active FB users
Different nationalities
Age range 18-25
Table 1: Participant Background Information
compilation of 157 pages of data
10,887 words + 985 turn-takings
CODING each researcher involved«intercoder reliability» (Mackay & Gas, 2005)
various tools utilized
conversational analysis techniques
Data Analysis Procedures
Findings
Repair type f %
Other-initiated self-repaired 17 47
Self-initiated self-repaired 12 33
Other-initiated with failure 5 13
Other-initiated other-repaired 2 7
Self-initiated other-repaired 0 0
Self-initiated with failure 0 0
Total 36 100
Table 2: The types of repair cases and their overall distribution
(( )) comment by researchers
(…) data removed by researchers
Underline foregrounds the related parts that are being examined
points out an exemplar of repair structures under examination
: turn start
S1/S2/S3… speaker IDs_______________________________________________________________
Table 3: Transcription conventions followed in the presentation of the data_________________________________________________________
Excerpt 1: Self-initiated self-repair
01 S 1: yeah02 commons03 google the commons dude04 S 2: what will you there ((trouble source))05 what will you do there ((repair made))06 is it near to the avenue cqmpus07 S 1: google the cowsherd08 its quite near
Excerpt 2: Other-initiated other-repair
01 S 1: good thing is02 i dunno03 ..04 that i can travel for free atm ((trouble source))
05 S 2: what? ((first repair initiation))06 what is atm? ((second repair initiation))
07 at the moment ((repair made))
08 probably this :D
Excerpt 3: Other-initiated Self-repair
01 S 1: (…) And my last erasmus party was really shit ((trouble source))
02 S 2: which one? ((repair initiation))
03 S1: the one at cafe parfait on Thursday (…) ((repair made))
04 I think it always the same these erasmus party (…)
Excerpt 4: Other-initiated with Failure
01 S 1: Hehe
02 Ill just come when I'm ready and call you yeah?
03 S 2: yeah
04 S 1: call my number which is start 0771 ((trouble source))
05 S 2: The turkish one? ((repair initiation))
((end of conversation with repair failure))
Conclusion
Summary
Limitations of the study
Recommendations
Overall Summary
synchronous data
one-to-one text-based messages
medium of com: English
36 repair cases identified
only 4 types available
2 missing
Conversation analysis techniques
Limitations of the study
the number of participants (n=10)
amount of the data (36 repair cases)○ for exp. Yang (2005) 351 Repair cases
○ other types of repairs not covered by Schegloff et
al., (1977)
one social networking site: Facebook
○ other social networking sites
the setting: one-to-one text messages○ discussion groups
Recommendations & Evaluation of the project
Large scale studies on different social networking sites
More than two parties in interaction
Other media of written communication e.g. e-mails, mobile phone SMS etc. (asynchronous)
Other mechanisms of conversation organization e.g.turn-taking, the sequencing of a conversation etc.
(e.g.Örnberg, 2010)
References
Mackey, A. & Gass, S.M. (2005). Second language research: Methodology and design. Mahwah, NJ, Lawrence Erlbaum.
Örnberg, T. (2010). Written Conversation: An investigation of the oral features of text chat through conversation analysis. Retrieved from admin.humlab.umu.se/files/pdf/conv_analysis.pdf
Schegloff, E.A., Jefferson, G. & Sacks, H. (1977). ‘The Preference for Self-Correction in the Organization of Repair in Conversation’, Language 53 (2), 351-82.
Yang, R. (2005). Repair Structures in Web-based Conversation. Proceedings of PACLIC 19, the 19th Asia-Pacific Conference on Language, Information and Computation. Retrieved from http://aclweb.org/anthology/Y/Y05/Y05-1034.pdf
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