University Honors Theses
University Honors College
Social Media and Self: Influences on the Formation
Social Media and Self: Influences on the Formation
of Identity and Understanding of Self through Social
of Identity and Understanding of Self through Social
Portland State University
Portland State University
PDXScholar
PDXScholar
2014
Networking Sites
Networking Sites
Madison Ganda
Portland State University
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Recommended Citation
Recommended Citation
Ganda, Madison, “Social Media and Self: Influences on the Formation of Identity and Understanding of
Self through Social Networking Sites” (2014). University Honors Theses. Paper 55.
https://doi.org/10.15760/honors.64
This Thesis is brought to you for free and open access. It has been accepted for inclusion in University Honors
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Social _x000D_ Media _x000D_ and _x000D_ Self: _x000D_ Influences _x000D_ on _x000D_ the _x000D_ Formation _x000D_ of _x000D_ Identity _x000D_ and _x000D_ Understanding _x000D_ of _x000D_
Self _x000D_ through _x000D_ Social _x000D_ Networking _x000D_ Sites _x000D_
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by _x000D_
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Madison _x000D_ Ganda _x000D_
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An _x000D_ undergraduate _x000D_ honors _x000D_ thesis _x000D_ submitted _x000D_ in _x000D_ partial _x000D_ fulfillment _x000D_ of _x000D_ the _x000D_
_x000D_
requirements _x000D_ for _x000D_ the _x000D_ degree _x000D_ of _x000D_
_x000D_
Bachelor _x000D_ of _x000D_ Arts _x000D_
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in _x000D_
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University _x000D_ Honors _x000D_
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and _x000D_
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Sociology _x000D_
_x000D_
_x000D_
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Thesis _x000D_ Adviser _x000D_
_x000D_
Peter _x000D_ Collier, _x000D_ Ph.D. _x000D_
_x000D_
_x000D_
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Portland _x000D_ State _x000D_ University _x000D_
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2014 _x000D_
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1 _x000D_
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Social _x000D_ Media _x000D_ and _x000D_ Self: _x000D_ Influences _x000D_ on _x000D_ the _x000D_ Formation _x000D_ of _x000D_ Identity _x000D_ and _x000D_
Understanding _x000D_ of _x000D_ Self _x000D_ through _x000D_ Social _x000D_ Networking _x000D_ Sites _x000D_
_x000D_ Madison _x000D_ Ganda _x000D_
Portland _x000D_ State _x000D_ University, _x000D_ 2014 _x000D_
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2 _x000D_
Abstract _x000D_
Over _x000D_ the _x000D_ years, _x000D_ social _x000D_ networking _x000D_ sites _x000D_ have _x000D_ grown _x000D_ into _x000D_ a _x000D_ more _x000D_ modern _x000D_ way _x000D_ of _x000D_
socializing. _x000D_ The _x000D_ widespread _x000D_ use _x000D_ and _x000D_ increasing _x000D_ time _x000D_ spent _x000D_ on _x000D_ these _x000D_ sites _x000D_ cause _x000D_ users _x000D_
to _x000D_ create _x000D_ online _x000D_ self-‐presentations _x000D_ in _x000D_ order _x000D_ to _x000D_ participate. _x000D_ Using _x000D_ Goffman’s _x000D_
dramaturgical _x000D_ theory, _x000D_ this _x000D_ study _x000D_ looked _x000D_ to _x000D_ explain _x000D_ the _x000D_ effects _x000D_ of _x000D_ feedback _x000D_ associated _x000D_
with _x000D_ online _x000D_ identities _x000D_ on _x000D_ social _x000D_ networking _x000D_ sites _x000D_ with _x000D_ offline _x000D_ identity _x000D_ development _x000D_
and _x000D_ presentation. _x000D_ An _x000D_ online _x000D_ Likert-‐scale _x000D_ survey _x000D_ was _x000D_ used _x000D_ gauge _x000D_ participant’s _x000D_
feelings _x000D_ about _x000D_ the _x000D_ social _x000D_ networking _x000D_ sites _x000D_ they _x000D_ used. _x000D_ Analysis _x000D_ of _x000D_ the _x000D_ collected _x000D_ data _x000D_
used _x000D_ a _x000D_ regression _x000D_ model _x000D_ to _x000D_ explore _x000D_ possible _x000D_ links _x000D_ between _x000D_ feedback _x000D_ on _x000D_ posts _x000D_ online _x000D_
and _x000D_ individuals’ _x000D_ internalization _x000D_ of _x000D_ that _x000D_ feedback _x000D_ into _x000D_ offline _x000D_ identities. _x000D_ Although _x000D_ no _x000D_
significant _x000D_ relationships _x000D_ were _x000D_ identified, _x000D_ the _x000D_ findings _x000D_ suggest _x000D_ directions _x000D_ for _x000D_ future _x000D_
research. _x000D_ _x000D_
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3 _x000D_
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Table _x000D_ of _x000D_ Contents _x000D_
Abstract _x000D_ ……………………………………………………………………………………………..3 _x000D_
Table _x000D_ of _x000D_ Contents………………………………………………………………………………..4 _x000D_
I.
Introduction…………………………………………………………………………….5 _x000D_
II.
Literature _x000D_ Review…………………………………………………………………….6 _x000D_
III. Methodology/Research _x000D_ Questions _x000D_ and _x000D_ Hypothesis…………………19 _x000D_
IV.
Results…………………………………………………………………………………….23 _x000D_
V.
Discussion……………………………………………………………………………….32 _x000D_
VI.
Conclusion, _x000D_ Limitation _x000D_ and _x000D_ Suggestions _x000D_ for _x000D_ future _x000D_ research……34 _x000D_
References………………………………………………………………………………………….38 _x000D_
Appendix _x000D_ I. _x000D_ Informed _x000D_ Consent…………………………………………………………….41 _x000D_
Appendix _x000D_ 2. _x000D_ Survey……………………………………………………………………………..42 _x000D_
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4 _x000D_
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I. _x000D_ Introduction _x000D_
_x000D_
In _x000D_ recent _x000D_ years _x000D_ social _x000D_ media _x000D_ has _x000D_ experienced _x000D_ widespread _x000D_ popularity _x000D_ within _x000D_
our _x000D_ society _x000D_ (Digital _x000D_ Market _x000D_ Ramblings _x000D_ 2014), _x000D_ starting _x000D_ from _x000D_ small _x000D_ personal _x000D_ web _x000D_
pages _x000D_ to _x000D_ full-‐blown _x000D_ mass _x000D_ communication _x000D_ networks _x000D_ where _x000D_ the _x000D_ user _x000D_ can _x000D_ give _x000D_ or _x000D_ find _x000D_
almost _x000D_ any _x000D_ information _x000D_ about _x000D_ themselves _x000D_ or _x000D_ others _x000D_ within _x000D_ minutes. _x000D_ These _x000D_ sites _x000D_ have _x000D_
gone _x000D_ from _x000D_ only _x000D_ being _x000D_ used _x000D_ by _x000D_ the _x000D_ computer-‐savvy, _x000D_ to _x000D_ being _x000D_ incredibly _x000D_ user _x000D_ friendly _x000D_
and _x000D_ spreading _x000D_ worldwide. _x000D_ While _x000D_ the _x000D_ popularity _x000D_ of _x000D_ social _x000D_ networking _x000D_ sites _x000D_ continues _x000D_
to _x000D_ grow, _x000D_ so _x000D_ does _x000D_ the _x000D_ user’s _x000D_ time _x000D_ on _x000D_ the _x000D_ page, _x000D_ even _x000D_ to _x000D_ the _x000D_ point _x000D_ of _x000D_ having _x000D_ the _x000D_ sites _x000D_
available _x000D_ on _x000D_ their _x000D_ mobile _x000D_ phone _x000D_ to _x000D_ check _x000D_ while _x000D_ away _x000D_ from _x000D_ the _x000D_ computer _x000D_ (Pew _x000D_
Research _x000D_ Internet _x000D_ Project _x000D_ 2013). _x000D_ As _x000D_ the _x000D_ amount _x000D_ of _x000D_ time _x000D_ users _x000D_ spend _x000D_ on _x000D_ social _x000D_
networking _x000D_ sites _x000D_ continues _x000D_ to _x000D_ grow, _x000D_ their _x000D_ interactions _x000D_ with _x000D_ others _x000D_ offline _x000D_ tends _x000D_ to _x000D_
decrease _x000D_ meaning _x000D_ that _x000D_ most _x000D_ of _x000D_ their _x000D_ socializing _x000D_ and _x000D_ socialization _x000D_ occurs _x000D_ within _x000D_ the _x000D_
glow _x000D_ of _x000D_ a _x000D_ computer _x000D_ or _x000D_ phone _x000D_ screen _x000D_ (Pew _x000D_ Research _x000D_ Internet _x000D_ Project _x000D_ 2013). _x000D_ In _x000D_ this _x000D_
research, _x000D_ I _x000D_ will _x000D_ examine _x000D_ the _x000D_ influence _x000D_ of _x000D_ social _x000D_ networking _x000D_ sites _x000D_ on _x000D_ the _x000D_ formation _x000D_ of _x000D_
identity _x000D_ and _x000D_ understanding _x000D_ of _x000D_ self _x000D_ through _x000D_ the _x000D_ interactions _x000D_ and _x000D_ usage _x000D_ of _x000D_ various _x000D_
social _x000D_ networking _x000D_ sites; _x000D_ namely _x000D_ Facebook, _x000D_ Tumblr _x000D_ and _x000D_ Instagram. _x000D_ _x000D_
One _x000D_ potential _x000D_ consequence _x000D_ of _x000D_ the _x000D_ individual’s _x000D_ increased _x000D_ online _x000D_ interaction _x000D_
time _x000D_ is _x000D_ that _x000D_ the _x000D_ formation _x000D_ of _x000D_ identity _x000D_ and _x000D_ understanding _x000D_ of _x000D_ self _x000D_ is _x000D_ now _x000D_ affected, _x000D_ to _x000D_ a _x000D_
greater _x000D_ degree, _x000D_ through _x000D_ the _x000D_ popularity _x000D_ or _x000D_ feedback _x000D_ on _x000D_ certain _x000D_ aspects _x000D_ of _x000D_ the _x000D_ user’s _x000D_
life _x000D_ that _x000D_ they _x000D_ are _x000D_ willing _x000D_ to _x000D_ share. _x000D_ The _x000D_ purpose _x000D_ of _x000D_ this _x000D_ research _x000D_ is _x000D_ to _x000D_ show _x000D_ how _x000D_
extensive _x000D_ use _x000D_ and _x000D_ time _x000D_ spent _x000D_ on _x000D_ these _x000D_ sites _x000D_ cause _x000D_ the _x000D_ user _x000D_ to _x000D_ form _x000D_ their _x000D_ identity _x000D_ and _x000D_
5 _x000D_
understanding _x000D_ of _x000D_ self _x000D_ based _x000D_ on _x000D_ the _x000D_ feedback _x000D_ on _x000D_ their _x000D_ posts. _x000D_ This _x000D_ research _x000D_ will _x000D_ draw _x000D_
upon _x000D_ survey _x000D_ data _x000D_ from _x000D_ 300 _x000D_ people _x000D_ who _x000D_ use _x000D_ more _x000D_ than _x000D_ one _x000D_ social _x000D_ networking _x000D_ site. _x000D_
Specific _x000D_ data _x000D_ will _x000D_ include _x000D_ providing _x000D_ information _x000D_ about _x000D_ their _x000D_ uses, _x000D_ experiences _x000D_ and _x000D_
influences _x000D_ of _x000D_ their _x000D_ formation _x000D_ of _x000D_ identity _x000D_ and _x000D_ understanding _x000D_ of _x000D_ identity _x000D_ through _x000D_ the _x000D_
sites _x000D_ they _x000D_ use. _x000D_ _x000D_
II. _x000D_ Literature _x000D_ Review _x000D_
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This _x000D_ literature _x000D_ review _x000D_ will _x000D_ first _x000D_ provide _x000D_ backgrounds _x000D_ on _x000D_ the _x000D_ aforemention _x000D_
social _x000D_ networking _x000D_ sites _x000D_ followed _x000D_ by _x000D_ an _x000D_ introduction _x000D_ to _x000D_ Goffman’s _x000D_ dramaturgical _x000D_
analysis _x000D_ of _x000D_ self _x000D_ and _x000D_ finally, _x000D_ examine _x000D_ how _x000D_ Goffman’s _x000D_ work _x000D_ informs _x000D_ current _x000D_ research _x000D_ in _x000D_
regards _x000D_ to _x000D_ the _x000D_ construction _x000D_ of _x000D_ self _x000D_ through _x000D_ the _x000D_ use _x000D_ of _x000D_ the _x000D_ Internet. _x000D_ The _x000D_ research _x000D_ that _x000D_
I _x000D_ will _x000D_ be _x000D_ conducting _x000D_ will _x000D_ focus _x000D_ primarily _x000D_ on _x000D_ Facebook, _x000D_ Tumblr _x000D_ and _x000D_ Instagram _x000D_ and _x000D_ the _x000D_
gratifications _x000D_ and _x000D_ identity _x000D_ validation _x000D_ users _x000D_ receive.While _x000D_ Facebook _x000D_ has _x000D_ been _x000D_
researched, _x000D_ Tumblr _x000D_ and _x000D_ Instagram _x000D_ are _x000D_ relatively _x000D_ new _x000D_ and _x000D_ have _x000D_ yet _x000D_ to _x000D_ be _x000D_ discussed _x000D_
within _x000D_ the _x000D_ creation _x000D_ of _x000D_ identity _x000D_ and _x000D_ understanding _x000D_ of _x000D_ self. _x000D_ _x000D_
_x000D_
Tumblr _x000D_ is _x000D_ a _x000D_ blogging _x000D_ site _x000D_ (Tumblr _x000D_ 2014), _x000D_ which _x000D_ allows _x000D_ its _x000D_ users _x000D_ to _x000D_ express _x000D_
their _x000D_ personality _x000D_ and _x000D_ bare _x000D_ their _x000D_ true _x000D_ self _x000D_ while _x000D_ finding _x000D_ like-‐minded _x000D_ people _x000D_ to _x000D_ create _x000D_
communities _x000D_ online. _x000D_ The _x000D_ site _x000D_ allows _x000D_ for _x000D_ text _x000D_ posts _x000D_ (where _x000D_ users _x000D_ can _x000D_ discuss _x000D_ their _x000D_
feelings, _x000D_ thoughts, _x000D_ political _x000D_ and _x000D_ social _x000D_ issues _x000D_ or _x000D_ random _x000D_ bits _x000D_ of _x000D_ information _x000D_ they _x000D_ feel _x000D_
like _x000D_ sharing), _x000D_ photos _x000D_ (ranging _x000D_ from _x000D_ pictures _x000D_ of _x000D_ themselves _x000D_ or _x000D_ any _x000D_ other _x000D_ content _x000D_ they _x000D_
deem _x000D_ important _x000D_ to _x000D_ share), _x000D_ quotes, _x000D_ chats _x000D_ (pieces _x000D_ of _x000D_ conversation _x000D_ from _x000D_ their _x000D_ lives), _x000D_
links _x000D_ (for _x000D_ sharing _x000D_ important _x000D_ or _x000D_ interesting _x000D_ articles _x000D_ or _x000D_ information), _x000D_ audio _x000D_ (songs, _x000D_
sound _x000D_ clips _x000D_ or _x000D_ speeches _x000D_ that _x000D_ resonate _x000D_ with _x000D_ the _x000D_ user) _x000D_ and _x000D_ video _x000D_ (either _x000D_ from _x000D_ the _x000D_
6 _x000D_
internet _x000D_ or _x000D_ created _x000D_ by _x000D_ the _x000D_ user). _x000D_ These _x000D_ different _x000D_ aspects _x000D_ of _x000D_ the _x000D_ site _x000D_ allow _x000D_ for _x000D_ the _x000D_ user _x000D_
to _x000D_ honestly _x000D_ share _x000D_ what _x000D_ they _x000D_ deem _x000D_ important _x000D_ to _x000D_ them _x000D_ while _x000D_ creating _x000D_ a _x000D_ community _x000D_ of _x000D_
“followers” _x000D_ and _x000D_ likewise _x000D_ “following” _x000D_ others _x000D_ to _x000D_ further _x000D_ understand _x000D_ what _x000D_ is _x000D_ important _x000D_
to _x000D_ them. _x000D_ Tumblr _x000D_ allows _x000D_ for _x000D_ the _x000D_ perspective _x000D_ of _x000D_ others _x000D_ to _x000D_ be _x000D_ integrated _x000D_ amongst _x000D_ other _x000D_
users _x000D_ through _x000D_ shared _x000D_ understanding _x000D_ and _x000D_ various _x000D_ points _x000D_ of _x000D_ view. _x000D_ _x000D_
_x000D_
_x000D_ Instagram _x000D_ is _x000D_ a _x000D_ photo-‐sharing _x000D_ application _x000D_ (Instagram _x000D_ 2014) _x000D_ in _x000D_ which _x000D_ the _x000D_ user _x000D_
can _x000D_ share _x000D_ the _x000D_ world _x000D_ through _x000D_ their _x000D_ eyes _x000D_ to _x000D_ showcase _x000D_ what _x000D_ they _x000D_ find _x000D_ interesting _x000D_ or _x000D_
important. _x000D_ The _x000D_ majority _x000D_ of _x000D_ pictures _x000D_ range _x000D_ from _x000D_ mundane _x000D_ events, _x000D_ such _x000D_ as _x000D_ what _x000D_ the _x000D_
user _x000D_ is _x000D_ eating, _x000D_ reading _x000D_ or _x000D_ listening _x000D_ to, _x000D_ to _x000D_ the _x000D_ events _x000D_ attended _x000D_ by _x000D_ the _x000D_ user; _x000D_ parties, _x000D_
concerts, _x000D_ get _x000D_ togethers, _x000D_ etc. _x000D_ The _x000D_ main _x000D_ takeaway _x000D_ from _x000D_ Instagram _x000D_ is _x000D_ that _x000D_ it _x000D_ is _x000D_ an _x000D_
extension _x000D_ of _x000D_ the _x000D_ user, _x000D_ which _x000D_ can _x000D_ be _x000D_ seen _x000D_ as _x000D_ a _x000D_ window _x000D_ into _x000D_ their _x000D_ daily _x000D_ activities. _x000D_ It _x000D_
gives _x000D_ users _x000D_ a _x000D_ chance _x000D_ to _x000D_ see _x000D_ what _x000D_ others _x000D_ are _x000D_ doing _x000D_ and _x000D_ gives _x000D_ the _x000D_ options _x000D_ to _x000D_ “like” _x000D_ a _x000D_
photo _x000D_ or _x000D_ “comment” _x000D_ on _x000D_ the _x000D_ photo. _x000D_ I _x000D_ propose _x000D_ that _x000D_ these _x000D_ sites _x000D_ are _x000D_ virtual _x000D_ areas _x000D_ for _x000D_
interpersonal _x000D_ interaction _x000D_ and _x000D_ therefore _x000D_ serve _x000D_ as _x000D_ locations _x000D_ for _x000D_ the _x000D_ development _x000D_ of _x000D_
the _x000D_ self. _x000D_ This _x000D_ research _x000D_ will _x000D_ hopefully _x000D_ help _x000D_ to _x000D_ understand _x000D_ how _x000D_ users _x000D_ on _x000D_ these _x000D_ specific _x000D_
sites _x000D_ create _x000D_ an _x000D_ identity _x000D_ and _x000D_ understanding _x000D_ of _x000D_ self _x000D_ offline _x000D_ based _x000D_ on _x000D_ external _x000D_ validation _x000D_
and _x000D_ internalization _x000D_ of _x000D_ ideas _x000D_ measured _x000D_ by _x000D_ popularity _x000D_ of _x000D_ their _x000D_ posts. _x000D_ _x000D_
_x000D_
This _x000D_ study _x000D_ focuses _x000D_ on _x000D_ an _x000D_ identified _x000D_ research _x000D_ gap _x000D_ in _x000D_ the _x000D_ literature _x000D_ concerning _x000D_
the _x000D_ relationship _x000D_ between _x000D_ social _x000D_ networking _x000D_ sites _x000D_ and _x000D_ user _x000D_ created _x000D_ identities. _x000D_ The _x000D_
importance _x000D_ of _x000D_ this _x000D_ research _x000D_ is _x000D_ due _x000D_ to _x000D_ the _x000D_ on-‐going _x000D_ usage _x000D_ of _x000D_ social _x000D_ networking _x000D_ sites _x000D_
and _x000D_ dramatic _x000D_ increase _x000D_ of _x000D_ users. _x000D_ Facebook _x000D_ has _x000D_ 1.19 _x000D_ billion _x000D_ monthly _x000D_ users, _x000D_ 874 _x000D_ million _x000D_
mobile _x000D_ users, _x000D_ and _x000D_ 728 _x000D_ million _x000D_ daily _x000D_ users _x000D_ as _x000D_ of _x000D_ October _x000D_ 2013 _x000D_ (Digital _x000D_ Marketing _x000D_
Ramblings _x000D_ 2014). _x000D_ Tumblr, _x000D_ a _x000D_ popular _x000D_ blogging _x000D_ site, _x000D_ has _x000D_ 216.3 _x000D_ million _x000D_ monthly _x000D_
_x000D_
7 _x000D_