eeverything: what public administration can learn from social media
DESCRIPTION
This is the PowerPoint deck that supported my talk at the XIII International Public Administration Congress in Kharkov, UkraineTRANSCRIPT
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eEverythingWhere things are going
and how to be there
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Who am I?And… who are YOU?..
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Alex Gorelik, Ph. D.Email: [email protected]
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Who am I?..
ME:
Background in literature, mass media and market research
What I do: teach, direct a college Mass Communication program, consult
What I love: understanding people, developing new ideas from old ones, reacting quickly, finding unexpected solutions, collaborating
What I hate: everything long-term
YOU:
What is your background ???
What do you love ???
What do you hate ???
Where are you going to apply yourselves ???
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Alex Gorelik, Ph. D.Email: [email protected]
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Why am I here?And… why are YOU here?..
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Alex Gorelik, Ph. D.Email: [email protected]
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Cooperation is necessary:
We are becoming a civilization of hyper-literacy
On a macro level, all of society is affected
On a micro level, our selves are affected
Communication is the engine of this change, public policy will determine its sign
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Alex Gorelik, Ph. D.Email: [email protected]
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Alex Gorelik, Ph. D.Email: [email protected]
A civilization of hyper-
literacy
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Literacy changed EVERYTHINGEconomy, fashion, politics, leisure, sovereignty, education, culture
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Similarly, hyper-literacy is changing EVERYTHINGEconomy, fashion, politics, leisure, sovereignty, education, culture
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Alex Gorelik, Ph. D.Email: [email protected]
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Alex Gorelik, Ph. D.Email: [email protected]
Source: Pew Internet
In 2012
… nearly 20 million of the 225 million Twitter users followed 60 or more Twitter accounts and nearly 2 million follow more than 500 accounts
…more than 800 million users made up Facebook having spent 700 billion minutes with the service each month. Facebook users had uploaded more than 100 billion photos by mid-2011.
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Source: Olswang Convergence Consumer Survey
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“Communication in all forms will be more direct; fewer of the niceties and supercilious greetings will exist. Idle conversation skills will be mostly lost.”
“Discussions based around internet content will tend to be pithy, opinion-based, and often only shared using social media with those who will buttress—rather than challenge—political, ideological, or artistic beliefs.”
Source: Pew Internet
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Source: Olswang Convergence Consumer Survey
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Alex Gorelik, Ph. D.Email: [email protected]
“Memories are becoming hyperlinks to information triggered by keywords and URLs.”
“We become ‘persistent paleontologists of our external memories’.”
Source: Pew Internet
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Source: Olswang Convergence Consumer Survey
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“Long-form cognition and offline contemplative time will start to be viewed as valuable and will be re-integrated into social and work life in interesting and surprising ways.”
Source: Pew Internet
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Alex Gorelik, Ph. D.Email: [email protected]
Re-feudalization of the public
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Alex Gorelik, Ph. D.Email: [email protected]
The practice of instant information consumption perpetuates the culture of instant gratification.
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The notion of property becomes challenged by “the gift economy”, attention becomes payment, democracy becomes a live show.
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Alex Gorelik, Ph. D.Email: [email protected]
The shift to hyper-literacy will be as profound, comprehensive, long lasting and universal, as the shift from orality to literacy.
Castells (2006)
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Mass
self-communication
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Virtual Worlds: Precursors
Video Gaming
Social networking
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Virtual Worlds: Second LifeReasons for participation include: (a) exploring the environment, (b) sharing experiences with others, (c) meeting people and making friends, (d) making things, and(e) engaging in commercial activities (Graves, 2008).
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• Publicly launched in 2003 by Linden Labs;
• One resident in 2001, 2.2 million in 2006;
• Global participation including residents from the U.S., France, Germany, U.K., the Netherlands, Canada etc.
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• Platform for collaborative creation of shared content;
• Ready-made captive audience for Linden Labs;
• Content is a tradable commodity (functional currency exchange mechanism).
Key features
Profile
Castells (2006)
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Virtual identity
What is the relationship between my real-life identity and my eSelf?
What is the relationship between geographical and virtual space? How does it change the concept of
sovereignty? … the concept of citizen? …voter?
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Question:
These are not idle questions!
In the U.S., we don’t know the answers yet…
How about Ukraine?
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Virtual world identities are becoming indistinguishable from “real” identities, just as e-commerce became indistinguishable from commerce.
Adrian (2008)
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“There is no inside self”
Foucault (2080)
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Virtual identity
A challenge for legal theory
A public policy
challenge
Hyper-identity: a
mental illness
yesterday, a positive attribute
today.
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Identity and citizenship
Machiavellian view: citizen as consumer Current technological
deterministic discourse, from Gates to Zuckerberg, equate citizenship with capitalism
Habermasian view: citizen as an equal conversation partner We need to critically assess
the tendency to envision e-citizens as spectators.
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Identity and citizenship
A conceptual distinction between “knowledge economy”, framed in techno-economic terms, and “information society”, framed in socio-cultural terms, needs to be made.
Despite the articulation of a broad set of policy goals, the dominant discourse acts to structure the debate in such a way that its economic parameters become privileged, at the expense of social and cultural factors (Goodwin & Spittle, 2002).
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To summarize:
We are experiencing a civilizational shift from literacy to hyper-literacy;
Social computing and communication is at the core of this shift;
It, on one hand, produces “big data” and, on the other – relies on it. So will public policy;
The subject of the networked e-democracy (eSelf)will be a reactive, rather than reflective, multitasking, rather than deliberative;
The discoursive space, surrounding eSelf should be dominated by Habermasian notions of deliberative democracy.
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To summarize:
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Social computing and Communication are the engine of this shift. Public policy will determine its sign.
Alone, neither of our fields is prepared. We must collaborate.
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Road MappingTheory, Policy, Design
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Road Mapping:Theory
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The techno-optimistic view:
Civic disengagement of youth: Lack of motivation Perceived lack of
opportunity for involvement
Inability to take part in the civic process
All cured through improvements in systems and procedures of e-democracy!
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The techno-optimistic view:
The evolution of the socio-technical tools available for communication and involvement have helped to overcome the causes of disengagement and may have contributed to the overwhelming involvement of youth voters in the 2008 and especially 2012 Presidential elections in the U.S.
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The techno-optimistic view:
Quality of services
Transparency, flexibility,
comprehensiveness of services
Equality of accessSocial inclusion (and exclusion)
Areas of concern:
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The Habermasian view:
Citizenship is a political activity
Citizenship is the praxis of political engagement
Having empowerment potential, the Internet is largely used to practice political action as a
solitary activity.
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The Habermasian view:
Area of concern: transition from culture-debating public to culture-consuming public
Area of concern: tele-democracy and re-feudalization of the public
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The Habermasian view:
Once the rational-critical discourse in the public sphere is replaced by consumption, it disintegrates into “acts of individual reception, however uniform in mode” (Habermas, 1989, p.161).
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Question:
This is happening in the U.S. with its “American dream”
…and in Russia with its “national idea”
Is this happening in Ukraine?
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The Habermasian view (ePublic Sphere):
Alhquist et al (2010) identified three key areas of transformation …society …local environment …economy and business
…and series of drivers in six fields
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The Habermasian view (ePublic Sphere):
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Ahlquist et al (2010)
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The Habermasian view (ePublic Sphere):
ePublic Sphere must satisfy social and technical requirements of: “Exchange and critique of
reasoned moral-practical validity claims”
Reflexivity Ideal role taking Sincerety Discursive inclusion, equality Autonomy from state and
economic power
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Dahlberg (2001)
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The Habermasian view (ePublic Sphere):
There is some empirical evidence that it may be true Example: Bandari, Azur
and Huberman (2012)
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Road MappingPolicy
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U.S. Government initiatives:
Reinventing Government Initiative (Clinton / Gore)
Office of Management and Budget engaged in several projects guided by the E-Government Act of 2001 (Bush)
Obama’s administration has pursued a range of open initiatives guided by the principles of transparent, participatory, and collaborative leadership
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U.S. Government initiatives:
Public involvement in government decision processes;
Coproduction of government services;
Crowdsourced solutions, through which Governments seek innovation through public knowledge and; and
Transparency and accountability.
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Examples of US initiatives
The Veterans Administration established a presence to interact with veterans on Facebook
(www.Facebook. com/VeteransAffairs)
Youtube (www.youtube. com/user/DeptVetAffairs)
Flickr (www.flickr.com photos/44636446@N04)
Twitter (www.twitter. com/DeptVetAffairs)
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Examples of US initiatives
http://petitions.whitehouse.gov—petitions
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Question:
U.S. public policy documents, such as E-Government Act of 2002, list social inclusion, privacy & security and transparency as guidelines.
What about Ukraine?
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Road MappingDesign
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In a Habermasian sense, the “conversation” between the public and the state, occurring in the ePublic Sphere, will be a co-experience
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Co-experience is …
Multimodal
Creative
Meaning-making
For fun (seriously)
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How to design co-experience?
Incorporate lessons from systems engineering and mass communication
Design with social translucence in mind
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Social translucence
Visibility Awareness
Accountability Constraints
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Knowledge managementApplication example of social translucence
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From KM to Knowledge Communities
Produced socially
Very little produced in concrete form
Offers massive opportunities for making social connections Provide connections to the producers
of knowledge Provide connections to people who
use, access and interact in the system
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From KM to Knowledge Communities
Why would people in a substantial work of building knowledge communities? One possible answer – the network
effect G=f(N) Another possible answer – the
principles of visibility, awareness, accountability and constraints
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From KM to Knowledge Communities
Conversation is great because…• It is an interaction with the goal of meaning-making
• It is a social projection of self, therefore – a deeply social process
• It persists
Conversation-based knowledge communities are excellent because of…• … activity support• … conversation visualization and restructuring
• …organizational knowledge spaces
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To summarize:
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Habermas and other media theorists provide valuable guidelines for exploration of e-democracy. Existing public policy initiatives, in their early, experimental stages, are marred by the techno-happy approach, which must be critically accessed. Evidence of fruitful cross-disciplinary borrowing exists in social media initiatives. We must collaborate.
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Case in point:
Info Terrorism
How can government agencies adapt media practices to combat the threat of info terrorism?
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A couple of questions:
Why “info terrorism” and not “cyber terrorism”?
Why are social media involved?
Why bother?
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Detection: Content analysis
Prediction: Forecasting relationships
Dissuasion: Procedures and
policies
Monitoring: Linking
outbursts to outcomes
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Detection
Content analysis of the (semantic) web Example: Sheth & Nagarajan (2011)
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Question:
Is this method useful to you?
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Prediction
…of relationships Example: Leskovec et al (2010)
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Question:
Is this method useful to you?
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Dissuasion
Organizational procedures and system-wide policies Example: Radianti & Gonzales (2009)
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Question:
Is this method useful to you?
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Monitoring
Linking emotional outbursts to outcomes Example: Zhang et al (2011)
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To summarize:
Media organizations (and I define those as broadly as humanly possible) can take part in combatting info-terrorism by taking part in detection, prediction, dissuasion and monitoring.
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Questions?
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@Doc_G_