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Participant Experiences in an Informal twitter.com Sub-network Jennifer Maddrell Doctoral Student at Old Dominion University AACE E-learn 2010 – Brief.

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Presentation on theme: "Participant Experiences in an Informal twitter.com Sub-network Jennifer Maddrell Doctoral Student at Old Dominion University AACE E-learn 2010 – Brief."— Presentation transcript:

1 Participant Experiences in an Informal twitter.com Sub-network Jennifer Maddrell Doctoral Student at Old Dominion University AACE E-learn 2010 – Brief Paper Presentation October 18-22, 2010 Click for audio ->

2 Nice to meet you … Working on my dissertation Research interest in distance and online learning Live in Chicago and visit these places, too: – http://designedtoinspire.com http://designedtoinspire.com – http://twitter.com/JenM http://twitter.com/JenM – http://edtechtalk.com http://edtechtalk.com

3 Case Study Research Questions What is the nature of communication and interaction within a twitter sub-network? Why do users in the sub-network participate? How do users represent themselves, including the demographic information they chose to share within their profiles?

4 Qualitative Case Study edtechtalktwitter.com 3,100 in Reciprocal Following Sub-network

5 Nature of Relationships Facebook Support existing relationships Two-way dialogue Blogging Blogger talks at audience Comments rhetorically subservient Twitter Browse friends of friends creating large following networks Smaller sub- network where posts frequently directed

6 Data Collection Observation of user communication Review of user profile data Interviews

7 Observation Periods Observation PeriodDate of ObservationTarget Hours of Observation Period of Day 1Saturday 200910106:00 a.m. to noonMorning 2Sunday 200910116:00 p.m. to midnightEvening 3Monday 200910126:00 a.m. to noonMorning 4Tuesday 20091013midnight to 5:59 a.m. Late Evening / Early Morning 5 Wednesday 20091014 noon to 5:59 p.m.Afternoon 6Thursday 200910156:00 p.m. to midnightEvening 7Friday 200910166:00 a.m. to noonMorning 8Saturday 20091017midnight to 5:59 a.m. Late Evening / Early Morning 9Sunday 20091018noon to 5:59 p.m.Afternoon 10Monday 200910196:00 p.m. to midnightEvening

8 Observation Checklist Tweet Content (Cut and Paste) Time 30 minute Observation Period (1-10) Original Post or Re-tweet (O/RT) Broadcast or Direct Response (B / @) User Name # Tagged Content (Y / N) Hyperlink Included (Y / N) Education or Technology (Y / N) Post Made on Twitter.com (Y / N)

9 Profile Review User NameLocationWebsiteBio # Following # Followers # Tweets Picture (Default / Self/Other) Date Joined Twitter

10 Focus of Interview Questions Background information Twitter use Perceptions of twitter Communication on twitter Community and relationships on twitter

11 Nature of Communication Always on / always accessible – 75 different applications used to tweet – live, transient, office buddy, glance, graze, cocktail party, ambi-synchronous Broadcast messages and conversations – 1 in 3 tweets including @ symbol – Half of those were re-tweets RT@ Shared interest communication – 1 in 5 tweets included # tag – Word clouds suggest shared interests

12 Wordle.net Word Cloud of Tweets

13 Wordle.net Word Cloud of Biographies

14 Nature of Interaction Network ties – Most not linked by geography or workplace – Shared interest and weak-tie relationships Transparency – Post specific details of personal & professional life – Central to relationship formation & maintenance Audience awareness – Pay attention to followed by / following lists – Care about post relevance and suitability to audience

15 Motivations to Participate Access – People – Information – Resources Reciprocity – Sharing of knowledge a condition of membership – Contributions are a form of network currency

16 Summary of Study Twitter serves as a virtual coffee machine Sub-network bound by shared interest Network ties: – Clusters of strong-tie relationships – Weak-tie acquaintances Transparency central to weak tie formation Reciprocity is network currency and payment for membership

17 Significance of Findings Sub-network formed organically over years Suggests drivers behind on-going participation Cannot generalize to other sub-networks Does not suggest results would be the same in sub-network created by teacher

18 Questions for Future Research Is the required level of user transparency and self-discloser feasible in most educational settings? Would an experienced professional be willing to interact with a novice and, if so, would the communication and interaction be at a meaningful level? To what extent do these network characteristics and participant motivators exist in other contexts and settings?

19 Please share your thoughts … http://designedtoinspire.com/drupal/aace2010twitter


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