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Big Brother: a Multimedia Television Format ; Influence of Persons and Emotions in Content on Attention
Unformatted Document Text:  8 gets less attention, as opposed to Kelly who gets a forefront place. The question is if the ‘click’ behaviour has a relation with the headlines in the news. Also for the website the effect of the participants is not significant, but it is a trend. Cases weighted by WEEG Le o K elly G ert -J an D ia ne D an ië lle A nd rie s A a n ta l k o p p e n 100 90 80 70 60 50 40 30 Cases weighted by WEEG Le o K elly G ert -J an D ia ne D an ië lle A nd rie s A a n ta l h its 16000 15000 14000 13000 12000 Figure 5 Attention for each participant Figure 6 Effect participants on web attention Emotions The attention for the different emotions is more evenly distributed on the web than on television. Single mindedness dominates also in the heads on the web, but less than on television. Neutral expressions and tiredness are less expressed on the web. Tenderness has more emphasis on the website. In the same way as for television viewers, web surfers react different to these emotions (F(5,597)=3.933, p<0.01). From figure 7.9 one can read that the reference to tenderness, sadness and excitement in the headline enhances the chance that it will be clicked. The visitor had less interest in tiredness and enthusiasm. As was the case on TV, the web visitor reacts on the interaction between participants and emotions. Again, the interaction effect is not significant when one enters the main effects into the analyses first, but when tested in a separate analysis, it does become significant. (F(69, 597)=1.429, p < 0.05). Cases weighted by WEEG S ha m e, gu ilt E xc ite m en t, co nc en tr Te nd ern es s, se ns ua l N eu tra l, tire dn es s D isg us tin g, ha te N erv ou sn es s A a n ta l k o p p e n 400 300 200 100 0 Cases weighted by WEEG be sc ha am d ve rd rie t s ge dre ve n co nc en tra ti te de r s en su ee l ne utr aa l m oe lu ste lo afk ee r ja lo ers w oe de sp an nin g A a n ta l h its 16000 15000 14000 13000 12000 11000 10000 Figure 7 Attention for each emotion Figure 8 Effect emotions on attention site visitor

Authors: Oegema, Dirk., Vaneker, Charles. and Kleinnijenhuis, Jan.
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background image
8
gets less attention, as opposed to Kelly who gets a forefront place. The question is if
the ‘click’ behaviour has a relation with the headlines in the news. Also for the
website the effect of the participants is not significant, but it is a trend.
Cases weighted by WEEG
Le
o
K
elly
G
ert
-J
an
D
ia
ne
D
an
lle
A
nd
rie
s
A
a
n
t
a
l
k
o
p
p
e
n
100
90
80
70
60
50
40
30
Cases weighted by WEEG
Le
o
K
elly
G
ert
-J
an
D
ia
ne
D
an
lle
A
nd
rie
s
A
a
n
t
a
l
h
i
t
s
16000
15000
14000
13000
12000
Figure 5 Attention for each participant
Figure 6 Effect participants on web
attention
Emotions
The attention for the different emotions is more evenly distributed on the web than on
television. Single mindedness dominates also in the heads on the web, but less than on
television. Neutral expressions and tiredness are less expressed on the web.
Tenderness has more emphasis on the website. In the same way as for television
viewers, web surfers react different to these emotions (F(5,597)=3.933, p<0.01).
From figure 7.9 one can read that the reference to tenderness, sadness and
excitement in the headline enhances the chance that it will be clicked. The visitor had
less interest in tiredness and enthusiasm.
As was the case on TV, the web visitor reacts on the interaction between
participants and emotions. Again, the interaction effect is not significant when one
enters the main effects into the analyses first, but when tested in a separate analysis, it
does become significant. (F(69, 597)=1.429, p
<
0.05).
Cases weighted by WEEG
S
ha
m
e,
gu
ilt
E
xc
ite
m
en
t,
co
nc
en
tr
Te
nd
ern
es
s,
se
ns
ua
l
N
eu
tra
l,
tire
dn
es
s
D
isg
us
tin
g,
ha
te
N
erv
ou
sn
es
s
A
a
n
t
a
l
k
o
p
p
e
n
400
300
200
100
0
Cases weighted by WEEG
be
sc
ha
am
d
ve
rd
rie
t s
ge
dre
ve
n
co
nc
en
tra
ti
te
de
r s
en
su
ee
l
ne
utr
aa
l m
oe
lu
ste
lo
afk
ee
r ja
lo
ers
w
oe
de
sp
an
nin
g
A
a
n
t
a
l
h
i
t
s
16000
15000
14000
13000
12000
11000
10000
Figure 7 Attention for each emotion
Figure 8 Effect emotions on attention
site visitor


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