Discussions Socialization

8/14/2019 Discussions Socialization

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Discussions and Socialization

UofS

Social Computing

Presenter: Mayya Sharipova

ForumsSocial Networking


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Outline

Forums Lurking

System dynamics in mass interaction

Hazing in online communitiesSocial networking

Motives and uses of Facebook

Social media


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Lurking- definition Forums Lurking

Nonnecke, B., & Preece, J. (2000). Lurkerdemographics: Counting the silent. Proceedingsof CHI 2000. The Hague: ACM.

One of the silent majority in a electronic forum;

one who posts occasionally or not at all but isknown to read the group's postings regularly.


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Lurking- why care? Forums Lurking

They are majority(90%)

Improvements in usability, design,tools

Potential customers


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Research questions Forums Lurking

1.

How prevalent? (Health vs. Software)2. No posting vs. minimal level of

posting

3. Lurking number of forummembers

4. Lurking traffic level


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Methodology Forums

Lurking

109 DL (discussion lists- DL messages are

received as an email) DL subscription mechanism

Information can be accessed by querying DL

server 3 month period


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Results (1) Forums

Lurking

1. How prevalent? (Health vs. Software)


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Results (2) Forums

Lurking2. No posting vs. minimal level of posting


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Results (4) Forums

Lurking4. Lurking

traffic level

negative correlation

(Pearson-0.426)


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Discussion Forums

Lurking

Are lurkers free-riders? (any benefit from them)

How much traffic level is acceptable?


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System dynamics in mass

interaction

Forums

Systemdynamics

Quentin Jones & Gilad Ravid, Sheizaf Rafaeli

An Empirical Exploration of Mass InteractionSystem Dynamics: Individual InformationOverload and Usenet Discourse

Proceedings of the 35th Hawaii International Conference on SystemSciences - 2002

Mass interaction can be understood in terms of

system dynamics


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System dynamics ? Forums

Systemdynamics

System dynamics is an approach to

understanding the behaviour of complexsystems over time.

Features: use of feedback loops and stocks and

flows. These elements help describe how evenseemingly simple systems display bafflingnonlinearity.


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Research hypotheses

1. generate simpler responses

2. fail to respond

3. end active participation

Forums

Systemdynamics

As the overloadingof mass-

interactionincreases, userswill:


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Methodology Forums

Systemdynamics

600 Usenet newsgroups

2,652,552 messages collected over the 6-monthsfrom 1st August 1999 to 29th February 2000

Algorithm to identify reply messages- containingRe, >,human reviewers

Algorithm to identify parent messages


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Results (1) Forums

Systemdynamics

As the

overloadingof mass-interaction

increases,users will:

1. generate

simplerresponses

Zipf like curve


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Results (2) Forums

Systemdynamics

As the



2. fail to

respond

Simpler messages are morelikely to seed a new discussion;

are able to predict 63.57% ofcases


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Results (3) Forums

Systemdynamics

As the



3. end active

participation

Zipf like curve

% of posters who also postedto the next study month


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Discussion Forums

Systemdynamics

Information overload has an observable impact

on mass interaction discourse dynamics System dynamics approach can be used for

examining group-level usability

Hazing as a Process of


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Hazing as a Process ofBoundary Maintenance in an

Online Community

Forums

Hazing

Courtenay Honeycutt (2005)

Hazing as a Process of Boundary Maintenance in anOnline Community

Hazing -subjecting potential group members todegrading initiation rituals


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Boundary Maintenance

Forums

Hazing

Transmittingcultural capital Controlling access

Threat/use ofviolence


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Background Forums

Hazing

The Case Study: The X-

Filesaholics- online messageboard

299 members with 40 members

posting regularly Initiation ritual of granting couch

cushion

toothbrush/ice block welcomingritual


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Research question Forums

Hazing

How do the in-group members of the X-

Filesaholics discursively utilize thetoothbrush/ice block directive to maintain thecommunity's boundaries?


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Methogology Forums

Hazing

joining and welcoming threads of

approximately 300 individuals between January18, 1998 and March 31, 2001 were collected

computer-mediated discourse analysis (CMDA)

techniques data were searched for three key words :

clean, scrub, and toothbrush.


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Results Forums

Hazing


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Discussion Forums

Hazing

The X-Filesaholics demonstrate both a growing

self-awareness of themselves as a communityand understanding of their boundaries and howthey expect newcomers to behave before they

are allowed membership in the group. They were engaging in hazing to protect the

online space and the cultural status quo.

They used threat or use of violence,transmitting cultural values, and controllingaccess to maintain their boundaries

SNS social networking sites


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SNS- social networking sites

Definition

SN

Facebook

Web-based services that allow individuals to: construct public profile

articulate a list of other users with whom they

share a connection

view and traverse their list of connections andthose made by others within the system


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SNS- social networking sites SN

Facebook

July 2007:

SNS- 5 of the top 15 most visited sites Facebook- 30 mil. users

MySpace 100 mil. users


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Motives and uses of

Facebook

SN

Facebook

Adam N. Joinson

Looking at, Looking up or Keeping up with

People? Motives and Uses of Facebook

CHI 2008 Proceedings Online Social Networks April 5-10,2008 Florence, Italy

Methodology


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Methodology SN

Facebook

Exploratory stage- 137 Facebook users;

generated phrases how they used Facebook andwhat they enjoyed

Identifying uses and gratifications- phrases

from 1-st stage were coded into 46 items whichwere rated (Likert scale) by 241 Facebook users

Results (1)


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Results (1) SN

Facebook

Exploratorystage

Results (2)


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Results (2) SN

Facebook

Identifying usesand gratifications

Likert scale- max- 7 (most important)

Results (3)


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Results (3) SN

Facebook

Identifying uses and gratifications. Other factors:

Posting and viewing of photographs

Status updates

Meeting like-minded people

Social network surfing (of old friends)

Social investigation (new people)

Interesting content (applications/quizzes)

Results (4)


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Results (4) SN

Facebook

Predicting the use of Facebook

content gratification predicted the amount oftimespent on the site

the use of the site for social investigation, viewing

and posting photographs and status updatespredicted the frequency of visits

S i l t ki


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Social networking

Social media

SN

Socialmedia

Danah Boyd

"Social Media is Here to Stay... Now What?

Microsoft Research Tech Fest, Redmond, 26 February 2009

Claims (1)


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Claims (1)

Network effects

SN

Socialmedia

Technologys feature set is not a key to itsadoption and popularity

What important is network effect, whether this

is the place whether your friends hang out

Negative consequences - Friendster

Positive- Facebook

Claims (2)


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( )What youth does in SN is

different from what adults do

SN

Socialmedia

Teenagers- hang out place with friends (pre-existing groups); decorating their profiles

Adults are not hanging out, they use SNS as for

their intended purposes as a social utility(communicating with the past)

Why consider difference is important?

Design (decoration in the Facebook is poor)

Claims (3)H i i l di fi i


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How is social media reconfiguring

social infrastructure and where is allof this going?

SN

Socialmedia

Persistence

Replicability

Searchability

Scalability

(de)locatability

5 properties of Social Media:

Claims (3)H i i l di fi iSN


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How is social media reconfiguring

social infrastructure and where is allof this going?

SN

Socialmedia

Invisible Audiences

Collapsed Contexts difficult to figure what isappropriate

Blurring of Public and Private

3 dynamics of Social Media:


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End

Discussion

Discussions Socialization

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