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Editor Login


Convener in chief:


David Lazer
(Methodology, Networked Governance)

Editors:


Stanley Wasserman
(Current Trends, Methodology, Social Networks)

Guy Stuart
(Economic Sociology, Finance)

Allan Friedman
(Simulations)

Nathan Eagle
(Technology, Social Computing, Powerlaws, Current Trends)

Ben Waber
(Technology, Social Computing)
Ines Mergel
(Knowledge Sharing, Social Computing, Social Software, Current Trends)

Maria Binz-Scharf
(Qualitative Methodology, Knowledge Sharing, eGovernment)

Alexander Schellong
(Admin, eGovernment, Citizen Relationship Management)

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« Networked government | Main | Sunbelt 2006 »

17 November 2005

Adapting to different social circles: Are people changing their online personality depending on the social context?

When it comes to social software, a myriad of platforms and websites sprang out of the ground during the last couple of years: The Social Networking Services Meta list shows 380 different social networking platforms, covering interest areas such as business networking, dating, friend networking, pet networking, photo sharing or face-to-face facilitating sites.

It seems as if all these content areas are targeting different user groups, therefore different social circles in which the users are active.

Even though, it might be that some of the circles have overlapping neighborhoods of actors, it is more likely, that people would chose different social networking platforms for different purposes: for example, A might probably want to connect to B for dating purposes on a different platform than the one he uses with C for business contacts.

This leads to my question: Are people changing their personality (or at least are they (inter)acting differently, displaying different kinds of information = showing a different face) on different platforms? If so, where are the differences and why are they occurring?

One way of analyzing these differences would be a) to conduct a self-study or b) to collect data on people that you know of who signed up for different platforms. What would be a robust way to analyze these differences?

Looking forward to your comments :)

Posted by Ines Mergel at November 17, 2005 4:03 PM