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QE. Strength of Ties under conditions of anonymity
1. Strength of ties in a mobile community under conditions of anonymity
Herbert Eng, IGS-IMI (New Media)
Assoc. Prof Patrick Williams (Sociology) Asst. Prof Chew Lock Yue(Social Physics) Asst. Prof Kenneth Feinstein (Media Philosophy)
Furtherance in typifying dimensions of discursive anonymity in mobile youth culture
2. Research into new anonymous social networks
Whisper: US$200M
Secret: US$50M
5. How to improveExternal validity ↑ Error Margin ↓
Lengthen data collection from one-time snapshots to longitudinal field experimentsImproving size of analysisMove away from artificial, laboratory settings
6. Goals
•Demonstrate viability of a crowdsourcedway of obtaining social science data through civic mediaimplementations
•any form of communication that strengthens the social bonds within a community or creates a strong sense of civic engagement
•Establish some baseline social research in the area of mobile social applications featuring anonymous sharing
•Develop social insights: gossip being a necessary mechanism to maintain social bonds
•Reinvigorate civic participation (Resnick2011)
7. Purpose
•Investigate effects of various conditions of discursive anonymity
•Identity condition (Anonymity vs. Pseudonymity)
•Group Authentication: Present vs. Absent
•Dependent Variables
•Self-disclosure
•Social cohesion
–Bonding social capital (strong ties)
–Bridging social capital (weak ties)
8. Research Questions
•RQ1: Do pseudonymous contexts significantly differ from anonymous contexts in terms of self- disclosure and social capital accrued?
•RQ2: Do partially-authenticated accounts significantly differ from non-authenticated accounts in terms of the social capital accrued?
•RQ3: Does collective engagement in conversational gossip improve social cohesion within a community?
9. 2 x 2 Full Factorial
A
B
C
D
RQ1: Identity Representation
Anonymous
Pseudonymous
RQ2: Authentication
Present
Absent
10. Identity Representation CopresenceSense of Belonging
Self-disclosure
Bridging Social Capital
Bonding Social CapitalAuthentication
CopresenceSense of Belonging
Self-disclosure
Bridging Social Capital
Bonding Social Capital
11. Community Scale Project
•Data collection application disguised as a social app will be built, launched and marketed to gain strong traction from local and overseas schools, colleges and universities
•Each confession post will allow students to judge whether a confession is True or False
12. FessupDesign Philosophy
•Unrestricted broadcast
•Instrumental: Ability to do so
•Psychological: Pressure of repercussions
•Pseudonyms
•Allow persistent reputation building
•Behavioralcontrol mechanism
•Distinguishable from each other (as opposed to the collective anon)
•Authentication
•Homophilyeffects –activating positive feelings through controlled disclosure of some shared attribute
13. How to regulate behavior in anonymous conversations?
•Self control mechanism: reputation associated with a pseudonym
•Community moderation: other users get to outright accept and reject posts (as opposed to upvotesand downvotes)
17. B) Pseudonymous + Authenticated
C) Anonymous + Unauthenticated
A) Anonymous + Authenticated
True/False responses (you can only choose one!)
18. Methodology: Longitudinal Field Experiment
•Focus on how the conditions are manipulated based on the natural behaviorof participants on Fessup
•users who most frequently post anonymouslybut are authenticated-> condition A
•users who most frequently post pseudonymouslywithout being authenticated-> condition D
•After a three month period, a questionnaire will be released within the app
19. Variables at a glance
•Independent Variables
•Anonymity: Anonymous vs. Pseudonymous
•Authentication: Present vs. Absent
•Dependent Variables
•CollectiveBehavior: Frequency of resharingfor posts as population ensemble
•Individual Behavior: Frequency of posting
•Individual Behavior: Frequency of resharing
•Individual Behavior: Frequency of commenting
•Self-disclosure
•Bridging social capital
•Bonding social capital
•Mediators/Moderators
•Sense of belonging to school
•Copresence
•Control Variables
•Age
20. Timeline
Nov
Dec
Development
2015 Jan
Feb
Mar
Apr
May
Jun
Launch
Growing traction
Growing traction, Analytics dev
Alpha Questionnaire
Analyses, Adjustments to model
Jul
Aug
Sep
Oct
Nov
Dec
Beta Questionnaire
Analyses, Adjustments to model, Thesis writing
Reading in conjunction with classes
Thesis writing, Analytics dev
2016 Jan
Feb
Mar
Apr
May
Jun
1st Questionnaire
Analyses, Adjustments to model, Thesis writing
2nd Questionnaire
Jul
Aug
Sep
Oct
Nov
Dec
Thesis writing
21. Thesis Chapters
•1. The Evolution of Internet Pseudonymity
•2. Mobile communities
•3. Gossip and the strength of ties
•4. Fessupdesign philosophy
•5. Fessupand a longitudinal field experiment
•6. Discussion of results and further insights
22. Thesis Chapters
•1. The Evolution of Internet Pseudonymity
•The original pseudonymityexperiment was the Internet itself and online social spaces present today, whether of a channel in a massively multiplayer online game or a discussion forum, could be said to have evolved from early iterantssuch as IRC. This chapter attempts to lay out the history of persona representation in the Internet Chatroom.
•2. Mobile communities
•Research on mobile cultures have seen significant contribution. This chapter discusses the contributions most significant to the current research.
•3. Gossip and the strength of ties
•An attempt to connect gossip from an evolutionary perspective with the amplitude of social cohesion in an community, within the context of always-on and ever copresent mobile-connected communities.
•4. Fessupdesign philosophy
•The various social scientific insights that serve as guidance in designing Fessup
•5. Fessupand a longitudinal field experiment
•A year long social experiment with four rounds of data collection
•6. Discussion of results and further insights