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Connecting

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Connecting & Interacting through Social Media Joanne Jacobs Interaction Design & Technology Strategy _at_joannejacobs | joanne_at_joannejacobs.net Image source: http://www ... – PowerPoint PPT presentation

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Title: Connecting


1
Connecting Interacting through Social Media
  • Joanne Jacobs
  • Interaction Design Technology Strategy
  • _at_joannejacobs joanne_at_joannejacobs.net

Image source http//www.flickr.com/photos/oskay/4
903580359
2
Index
  • Promise/objectives
  • Early web search engines as trust agents
  • Later web Information overload
  • Rise of social human filters for subject
    expertise
  • Behavioural economics and search
  • Social media and critical friends
  • Social interaction as learning/evaluation
  • Socially driven influence
  • How to access influencers
  • How to engage influencers
  • Case studies in socially driven trust
    relationships
  • Implications for trust networks and interaction
  • Questions

3
Promise objectives
  • Demonstrate how social media optimises our
    identification of trustworthy sources
  • Show how social technologies facilitate
    critically valuable networks
  • Plot a path for learning through technology
    mediated social interaction

Image source http//www.flickr.com/photos/oskay/4
903581129
4
  1. Trust
  2. Critical friends influencers
  3. Case studies in social learning

Image source http//www.flickr.com/photos/paulota
vio/3057375124
5
SOCIAL EVOLUTION
Image source http//www.flickr.com/photos/tobiast
oft/4356852050/
6
Early web
  • Search engines as fast indexes

Images source Internet Archive
http//web.archive.org/
7
Late 1990s Early 2000s
  • Information overload

Image source http//www.flickr.com/photos/ursonat
e/3729697018
8
Web 2.0
  • Rise of social media (early-mid 2000s)

Image source http//todayinart.com/2011/01/06/16-
clean-social-media-icons/
9
TRUST
Image source http//www.flickr.com/photos/tobiast
oft/4356852050/
10
Trust as a social concept
  • Humans less likely to be 'gamed' than flawed
    algorithms
  • Can develop relationships with trust sources
  • Trust is proven or shaken by ongoing behaviours

Image source http//www.flickr.com/photos/jdhanco
ck/3842546304
11
Social media
  • Enables discovery of new trust sources
  • Facilitates orthogonal links
  • Streamlines access to content
  • Allows feedback, debate on content

Image source http//www.flickr.com/photos/theresa
sthompson
12
Social media
  • Human filters shared experience improved
    content access.

Image source http//www.flickr.com/photos/lululem
onathletica
13
Trust networks
  • Nascent properties
  • Subject to change, based on interactions
  • Require sustenance
  • Form the basis of influence

Image source http//www.flickr.com/photos/jurvets
on/2234378275
14
CRITICAL FRIENDS AND INFLUENCERS
Image source http//www.flickr.com/photos/tobiast
oft/4356852050/
15
Behavioural economics
  • Influence of social, cognitive and emotional
    factors on economic decisions.

Image source http//www.flickr.com/photos/pinkshe
rbet/1360614141
16
Behavioural economics
  • Framing
  • Collective behaviour
  • Efficiency/laziness
  • Contrived/realistic scenarios
  • Opportunities in decisions not taken

Image source http//www.flickr.com/photos/jurvets
on/4420838699
17
Kahneman Thinking, Fast and Slow
  • Although Humans are not irrational, they often
    need help to make more accurate judgments and
    better decisions Rational people should be free
    and they should be responsible for taking care of
    themselves But freedom has a cost, which is
    borne by individuals who make bad choices and by
    a society the feels obligated to help them. (pp
    411-12)

Source http//www.amazon.co.uk/Thinking-Fast-Slow
-Daniel-Kahneman
18
Fast thinking and trust
  • Trust formed through intuition (fast thinking) as
    well as shared experiences
  • Social media support communication of shared
    experiences, improving cognitive ease of
    decisions about trust (fast thinking)

Image source http//www.flickr.com/photos/schmoll
molch
19
Trust and social technologies
  • Trust crucial for sustainability of online
    relationships

Image source http//www.flickr.com/photos/fragile
tender/564941677
20
Social media and critical friends
  • Expectation of critical feedback in social media
    not just positive reinforcement
  • Idea development based on collaborative
    authorship/editing not critical reception of
    finished works

Image source http//www.flickr.com/photos/atomicj
eep/58710053/
21
Critical friends human filters
  • Social technologies enable access to more
    informed, critical and trustworthy human filters.

Image source http//www.flickr.com/photos/9098231
4_at_N00/6414301543/
22
Learning through social interaction
  • Socratic thought and social media
  • Social decision making more effective/successful
    than individual decisions
  • Adaptive thinking facilitated through
    collaboration
  • Higher order learning skills tapped

Image source http//www.flickr.com/photos/eflon/3
271730476
23
Problems with social
  • High individual investment and slow thinking
    required for identification of useful sources
  • Cognitive laziness can limit critical value of
    networks

Image source http//www.flickr.com/photos/pinguin
o/4081430041
24
Socially driven influence
  • Interaction with ideas/brands/products in social
    networks can act as catalyst for shared
    experiences
  • Influence not just a matter of brand awareness,
    but of brand expertise

Image source http//www.flickr.com/photos/2713202
9_at_N06/2822971312
25
How to access influencers
  • Research
  • Referral
  • Direct request (for expertise)

Image source http//www.flickr.com/photos/gsfc/59
82663752
26
Accessing influencers Research
  • Social media activity
  • Content production and interactions (online and
    offline)
  • Sentiment analysis
  • Niche networks

Image source http//www.flickr.com/photos/uggboy/
5279534663
27
Influencers Referrals and Requests
  • Referrals citations and conversations
  • Referrals friends of friends
  • Referrals niche network recommendations
  • Requests Direct requests for experts in a
    specific field/set of experiences
  • Requests Celebrity endorsement of influencers

Image source http//www.flickr.com/photos/pagedoo
ley/4699835676
28
Engaging influencers
  • Not celebrities influence based on history of
    trustworthy interactions
  • Not advertisers influence sustained through
    impartiality

Image source http//www.flickr.com/photos/4748977
1_at_N00/2352753067
29
Engaging influencers
  • Human filters influencers have developed
    cognitive ease across their fields of expertise
  • Trust agents influencers produce trustworthy
    content and tend to be linked to other trust
    sources

Image source http//www.flickr.com/photos/linhnga
n/2833540510/
30
CASE STUDIES OF SOCIAL INTERACTION
Image source http//www.flickr.com/photos/tobiast
oft/4356852050/
31
Case studies
  • CORPORATECareOne Debt Relief used social media
    to generate longer buying cycle while improving
    advice. (Link)
  • COMMUNITYInstructables.com as a marketing
    vector and to develop a community of users.
    (Link)
  • PROBLEM SOLVING Game based complex problem
    resolution. (Link)
  • INDUSTRIAL LEARNING IBM staff-initiated
    professional development programmes. (Link)

Image source http//www.flickr.com/photos/2565227
8_at_N03/3626369316
32
CORPORATE
  • Site existed as QA for users of debt recovery
    services
  • Social introduced to broaden awareness, answer
    questions
  • gt Found that understanding, buy-cycle increased,
    sense of trust increased with social

33
COMMUNITY
  • Community of makers
  • Questions, comments always possible
  • The more sophisticated the activity, the more
    likely users will buy from a maker
  • gt Trust based on expertise, quality of instruction

34
PROBLEM SOLVING
  • AIDS researchers sought to determine genome
    structure of HIV for a decade
  • Fold-It game played by gamers wanting to
    contribute to scientific research
  • Problem solved in 3 weeks
  • gt Gamer reputation on line trust based on
    expertise.

Image source http//blogs.discovermagazine.com/no
trocketscience/2011/09/18/computer-gamers-solve-pr
oblem-in-aids-research-that-puzzled-scientists-for
-years/
35
INDUSTRIAL LEARNING
  • IBM noted need for new leaders prof dev but
    adequate curriculum difficult
  • Used (internal) social media to curate
    professional development programme
  • gt Trust built in firm by ability to contribute to
    learning

36
Implications for trust networks
  • Technology increasingly being used as a vehicle
    to test trustworthiness
  • Social technologies, while fallible, offer most
    promise of uncovering truth, because reputation
    is most at risk for sharing inaccurate,
    untrustworthy ideas.

Image source http//www.flickr.com/photos/legends
2k/4865390134
37
Technology driven learning
  • Social technologies enable learning based on
    social negotiation, as well as ongoing
    verification checks.

Image source http//www.flickr.com/photos/pagedoo
ley/5192063662/
38
Promise Fulfilment
  • Social media facilitates identification of
    trustworthy sources
  • Social technologies can act as an acceptable
    destination and gateway for critical responses
  • Technology-mediated social interaction is the
    most promising vector for learning in an age
    where tech is becoming transparent

Image source http//www.flickr.com/photos/oskay/4
903581129
39
Questions
Joanne Jacobs Tech Strategy Interaction
Design Ph 07 948 318 298 Email
joanne_at_joannejacobs.net Web http//joannejacobs.n
et/ Twitter _at_joannejacobs Skype bgsbjj
Unless otherwise specified, all images used in
this presentation are Creative Commons images,
under an Attribution Licence.
Further reading Southgate, N. (Nov 2011)
Ingrained in the Brain, Research Magazine.
Image source http//www.flickr.com/photos/tobiast
oft/4356852050/
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