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#Forward!: Twitter as Citizen Journalism in the Wisconsin Labor Protests
Unformatted Document Text:  Twitter
and
the
Wisconsin
Labor
Protests

 
 17
 Finally,
we
expect
that
as
the
protests
move
forward
and
grow,
users
will
 become
more
accustomed
to
posting
their
own
direct
updates,
and
that
URLs
will
 thus
become
less
prominent
in
tweets.
 H4.
As
time
moves
forward,
URLs
in
general
and
news
URLs
in
particular
are
 posted
less
frequently.
 METHODS
 This
case
study
is
based
on
analysis
of
more
than
775,030
tweets
posted
 between
February
17
and
March
13,
2011,
with
the
hashtag
#wiunion
appended
to
 them.
This
hashtag
is
one
of
several
used
by
Twitter
users
discussing
the
Wisconsin
 budget
repair
bill
and
associated
protests,
but
is
the
most
prominent
one
that
does
 not
take
an
inherent
position
in
the
debate
(as
opposed
to
#killthebill
or
 #standwithwalker,
for
example).
Thus,
tweets
tagged
with
#wiunion
should
provide
 users
and
usage
from
positions
both
supporting
and
opposing
the
bill,
and
the
tag
 itself
would
be
a
likely
source
for
anyone
using
Twitter
to
follow
all
the
goings‐on
 within
this
event.
An
archival
tool,
Twapper
Keeper, 1 
was
used
to
retrieve
#wiunion
 tweets
during
this
period,
and
our
data
includes
all
such
tweets
from
the
evening
of
 February
17
to
midday
on
March
13,
excluding
a
20‐hour
period
on
March
9
during
 which
Twapper
Keeper
experienced
technical
problems
and
did
not
archive
any
 new
#wiuion
tweets.
 From
the
raw
data
provided
by
Twapper
Keeper,
we
retrieved
a
number
of
 variables:
the
text
of
the
tweet
itself
(including
all
tags,
URLs
and
direct‐message
 























































 1 
http://twapperkeeper.com/


Authors: Veenstra, Aaron., Iyer, Narayanan., Bansal, Namrata., Hossain, Mohammad., Park, Jiwoo. and Hong, Jiachun.
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background image
Twitter
and
the
Wisconsin
Labor
Protests


17

Finally,
we
expect
that
as
the
protests
move
forward
and
grow,
users
will

become
more
accustomed
to
posting
their
own
direct
updates,
and
that
URLs
will

thus
become
less
prominent
in
tweets.

H4.
As
time
moves
forward,
URLs
in
general
and
news
URLs
in
particular
are

posted
less
frequently.

METHODS

This
case
study
is
based
on
analysis
of
more
than
775,030
tweets
posted

between
February
17
and
March
13,
2011,
with
the
hashtag
#wiunion
appended
to

them.
This
hashtag
is
one
of
several
used
by
Twitter
users
discussing
the
Wisconsin

budget
repair
bill
and
associated
protests,
but
is
the
most
prominent
one
that
does

not
take
an
inherent
position
in
the
debate
(as
opposed
to
#killthebill
or

#standwithwalker,
for
example).
Thus,
tweets
tagged
with
#wiunion
should
provide

users
and
usage
from
positions
both
supporting
and
opposing
the
bill,
and
the
tag

itself
would
be
a
likely
source
for
anyone
using
Twitter
to
follow
all
the
goings‐on

within
this
event.
An
archival
tool,
Twapper
Keeper,
1

was
used
to
retrieve
#wiunion

tweets
during
this
period,
and
our
data
includes
all
such
tweets
from
the
evening
of

February
17
to
midday
on
March
13,
excluding
a
20‐hour
period
on
March
9
during

which
Twapper
Keeper
experienced
technical
problems
and
did
not
archive
any

new
#wiuion
tweets.

From
the
raw
data
provided
by
Twapper
Keeper,
we
retrieved
a
number
of

variables:
the
text
of
the
tweet
itself
(including
all
tags,
URLs
and
direct‐message


























































1

http://twapperkeeper.com/



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