| Literature DB >> 28018260 |
Kai Kaspar1, Daniel Zimmermann1, Anne-Kathrin Wilbers1.
Abstract
Previous research on news perception has been dominated by a cognitively oriented perspective on reception processes, whereas emotions have been widely neglected. Consequently, it has remained open which features of a news story might elicit affective responses and hence modulate news perception, shifting the focus to the emotional potential of the narrative. According to the affective-disposition theory, the experience of suspense is the striving force of immersion in fictional dramas. Thereby, a positive affective disposition toward the protagonist of a story and a high likelihood of a bad ending should increase suspense that, in turn, should positively influence reading appreciation and lingering interest in the story. We investigated whether suspense and its determinants also play such a key role in the context of news stories. Study 1 (n = 263) successfully replicated results of an earlier study, whereas Studies 2 (n = 255) and 3 (n = 599) challenged the generalizability of some effects related to manipulated characteristics of a news story. In contrast, correlational relationships between perceived news characteristics and news evaluation were relatively stable. In particular, participants' liking of the protagonist and the perceived likelihood of a good ending were positively associated with suspense, reading appreciation, and lingering interest. This result indicates a preference for happy endings and contradicts the notion that likely negative outcomes are beneficial for suspense and the enjoyment of news stories, as postulated by the affective-disposition theory in the context of fictional dramas. Moreover, experienced suspense reliably mediated the correlations between, on the one hand, participants' liking of the protagonist and the perceived likelihood of a good ending and, on the other hand, reading appreciation and lingering interest. The news story's personal relevance was less influential than expected. Further, we observed a large absence of interaction effects, indicating that central characteristics of a news story can be independently varied to a large degree. In a nutshell, we may conclude that suspense significantly mediates the correlation between perceived news characteristics and the enjoyment of news stories, whereas manipulations of news characteristics do not necessarily influence the enjoyment of narratives as desired.Entities:
Keywords: affective-disposition theory; enjoyment of narratives; news perception; personal relevance; suspense
Year: 2016 PMID: 28018260 PMCID: PMC5156838 DOI: 10.3389/fpsyg.2016.01913
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Figure 1The main effects of the manipulated likelihood of a good ending (low vs. high) and the manipulated likeability of the protagonists (low vs. high) found in Studies 1, 2, and 3 (means across two different news stories). The dependent variables are the experienced suspense during reading (A,D, and G), reading appreciation (B,E, and H), and lingering interest in the news story (C,F, and I).
Analyses of indirect effects for mediation models of Study 1 described in H2a and H2b.
| Model summary | ||||||||
| Effect of IV on mediator | 0.191 | 0.047 | 4.043 | <0.001 | 0.206 | 0.050 | 4.155 | <0.001 |
| Direct effect of mediator on DV | 0.306 | 0.062 | 4.907 | <0.001 | 0.278 | 0.062 | 4.490 | <0.001 |
| Total effect of IV on DV | 0.264 | 0.050 | 5.305 | <0.001 | 0.232 | 0.051 | 4.516 | <0.001 |
| Direct effect of IV on DV | 0.205 | 0.049 | 4.178 | <0.001 | 0.175 | 0.051 | 3.413 | 0.001 |
| Indirect effect of IV on DV through mediator | effect = 0.059 ( | effect = 0.057 ( | ||||||
| Model summary | ||||||||
| Effect of IV on mediator | 0.191 | 0.047 | 4.043 | <0.001 | 0.206 | 0.050 | 4.155 | <0.001 |
| Direct effect of mediator on DV | 0.563 | 0.074 | 7.655 | <0.001 | 0.639 | 0.064 | 9.968 | <0.001 |
| Total effect of IV on DV | 0.340 | 0.062 | 5.482 | <0.001 | 0.315 | 0.060 | 5.240 | <0.001 |
| Direct effect of IV on DV | 0.232 | 0.058 | 4.017 | <0.001 | 0.184 | 0.053 | 3.472 | 0.001 |
| Indirect effect of IV on DV through mediator | effect = 0.108 ( | effect = 0.131 ( | ||||||
H2a: IV = liking of protagonist, Mediator = experienced suspense, DV = reading appreciation.
H2b: IV = liking of protagonist, Mediator = experienced suspense, DV = lingering interest.
p < 0.01,
p < 0.001.
The table depicts the model summaries, unstandardized coefficients, and the point estimate for the indirect effects.
Analyses of indirect effects for mediation models of Study 1 described in H2c and H2d.
| Model summary | ||||||||
| Effect of IV on mediator | −0.081 | 0.052 | −1.563 | 0.119 | −0.075 | 0.064 | −1.180 | 0.239 |
| Direct effect of mediator on DV | 0.373 | 0.063 | 5.930 | < 0.001 | 0.333 | 0.062 | 5.423 | < 0.001 |
| Total effect of IV on DV | −0.005 | 0.056 | −0.089 | 0.929 | 0.010 | 0.067 | 0.148 | 0.883 |
| Direct effect of IV on DV | 0.025 | 0.053 | 0.477 | 0.634 | 0.035 | 0.064 | 0.550 | 0.583 |
| Indirect effect of IV on DV through mediator | effect = −0.030 ( | effect = −0.025 ( | ||||||
| Model summary | ||||||||
| Effect of IV on mediator | −0.081 | 0.052 | −1.563 | 0.119 | −0.075 | 0.064 | −1.180 | 0.239 |
| Direct effect of mediator on DV | 0.630 | 0.074 | 8.534 | < 0.001 | 0.691 | 0.064 | 10.869 | < 0.001 |
| Total effect of IV on DV | −0.093 | 0.070 | −1.333 | 0.184 | −0.093 | 0.079 | −1.170 | 0.243 |
| Direct effect of IV on DV | −0.042 | 0.062 | −0.677 | 0.499 | −0.040 | 0.066 | −0.613 | 0.541 |
| Indirect effect of IV on DV through mediator | effect = −0.051 ( | effect = −0.052 ( | ||||||
H2c: IV = perceived likelihood of good ending, Mediator = experienced suspense, DV = reading appreciation.
H2d: IV = perceived likelihood of good ending, Mediator = experienced suspense, DV = lingering interest.
p < 0.001.
The table depicts the model summaries, unstandardized coefficients, and the point estimate for the indirect effects.
Analyses of indirect effects for mediation models of Study 2 described in H2a and H2b.
| Model summary | |||||||||
| Effect of IV on mediator | 0.445 | 0.063 | 7.038 | <0.001 | 0.515 | 0.061 | 8.439 | <0.001 | |
| Direct effect of mediator on DV | 0.260 | 0.064 | 4.090 | <0.001 | 0.403 | 0.060 | 6.677 | <0.001 | |
| Total effect of IV on DV | 0.391 | 0.066 | 5.927 | <0.001 | 0.441 | 0.063 | 6.956 | <0.001 | |
| Direct effect of IV on DV | 0.275 | 0.070 | 3.931 | <0.001 | 0.233 | 0.066 | 3.524 | 0.001 | |
| Indirect effect of IV on DV through mediator | effect = 0.116 ( | effect = 0.207 ( | |||||||
| Model summary | |||||||||
| Effect of IV on mediator | 0.445 | 0.063 | 7.038 | <0.001 | 0.515 | 0.061 | 8.439 | <0.001 | |
| Direct effect of mediator on DV | 0.737 | 0.077 | 9.615 | <0.001 | 0.638 | 0.073 | 8.715 | <0.001 | |
| Total effect of IV on DV | 0.497 | 0.090 | 5.520 | <0.001 | 0.489 | 0.081 | 6.044 | <0.001 | |
| Direct effect of IV on DV | 0.169 | 0.084 | 1.999 | 0.047 | 0.160 | 0.080 | 1.994 | 0.047 | |
| Indirect effect of IV on DV through mediator | effect = 0.328 ( | effect = 0.328 ( | |||||||
H2a: IV = liking of protagonist, Mediator = experienced suspense, DV = reading appreciation.
H2b: IV = liking of protagonist, Mediator = experienced suspense, DV = lingering interest.
p < 0.05,
p < 0.01,
p < 0.001.
The table depicts the model summaries, unstandardized coefficients, and the point estimate for the indirect effects.
Analyses of indirect effects for mediation models of Study 2 described in H2c and H2d.
| Model summary | ||||||||
| Effect of IV on mediator | 0.192 | 0.053 | 3.601 | <0.001 | 0.214 | 0.055 | 3.911 | <0.001 |
| Direct effect of mediator on DV | 0.313 | 0.060 | 5.228 | <0.001 | 0.480 | 0.056 | 8.584 | <0.001 |
| Total effect of IV on DV | 0.250 | 0.053 | 4.693 | <0.001 | 0.188 | 0.055 | 3.398 | 0.001 |
| Direct effect of IV on DV | 0.190 | 0.052 | 3.655 | <0.001 | 0.085 | 0.050 | 1.694 | 0.092 |
| Indirect effect of IV on DV through mediator | effect = 0.060 ( | effect = 0.103 ( | ||||||
| Model summary | ||||||||
| Effect of IV on mediator | 0.192 | 0.053 | 3.601 | <0.001 | 0.214 | 0.055 | 3.911 | <0.001 |
| Direct effect of mediator on DV | 0.775 | 0.072 | 10.748 | <0.001 | 0.684 | 0.067 | 10.236 | <0.001 |
| Total effect of IV on DV | 0.243 | 0.074 | 3.298 | 0.001 | 0.229 | 0.069 | 3.312 | 0.001 |
| Direct effect of IV on DV | 0.094 | 0.063 | 1.503 | 0.134 | 0.082 | 0.060 | 1.375 | 0.171 |
| Indirect effect of IV on DV through mediator | effect = 0.149 ( | effect = 0.147 ( | ||||||
H2c: IV = perceived likelihood of good ending, Mediator = experienced suspense, DV = reading appreciation.
H2d: IV = perceived likelihood of good ending, Mediator = experienced suspense, DV = lingering interest.
p < 0.10,
p < 0.01,
p < 0.001.
The table depicts the model summaries, unstandardized coefficients, and the point estimate for the indirect effects.
Figure 2The conceptual and statistical diagrams for the (moderated) mediation model tested in Study 3 (H2a–H2d).
Analyses of moderated mediation models of Study 3 (H2a and H2b).
| Model summary (criterion = mediator) | ||||||||
| Effect of IV on mediator ( | 0.164 | 0.031 | 5.215 | <0.001 | 0.140 | 0.033 | 4.184 | <0.001 |
| Effect of moderator on mediator ( | −0.106 | 0.071 | −1.492 | 0.136 | −0.051 | 0.068 | −0.749 | 0.454 |
| Effect of IV*moderator on mediator ( | −0.083 | 0.063 | −1.315 | 0.189 | 0.037 | 0.067 | 0.549 | 0.583 |
| Model summary (criterion = DV) | ||||||||
| Effect of mediator on DV ( | 0.409 | 0.038 | 10.837 | <0.001 | 0.337 | 0.041 | 7.270 | <0.001 |
| Effect of IV on DV ( | 0.396 | 0.030 | 13.393 | <0.001 | 0.430 | 0.034 | 12.775 | <0.001 |
| Effect of moderator on DV ( | −0.106 | 0.066 | −1.617 | 0.106 | −0.002 | 0.068 | −0.034 | 0.973 |
| Effect of IV*moderator on DV ( | 0.039 | 0.058 | 0.667 | 0.505 | −0.046 | 0.067 | −0.685 | 0.493 |
| Conditional indirect effect of IV on DV at moderator value = low relevance | effect = 0.084 ( | effect = 0.041 ( | ||||||
| Conditional indirect effect of IV on DV at moderator value = high relevance | effect = 0.050 ( | effect = 0.053 ( | ||||||
| Index of moderated mediation | index = −0.034 ( | index = 0.012 ( | ||||||
| Model summary (criterion = DV) | ||||||||
| Effect of mediator on DV ( | 0.601 | 0.048 | 12.574 | <0.001 | 0.536 | 0.050 | 10.724 | <0.001 |
| Effect of IV on DV ( | 0.277 | 0.037 | 7.395 | <0.001 | 0.115 | 0.041 | 2.774 | 0.006 |
| Effect of moderator on DV ( | 0.048 | 0.083 | 0.579 | 0.563 | 0.244 | 0.083 | 2.938 | 0.003 |
| Effect of IV*moderator on DV ( | 0.117 | 0.073 | 1.598 | 0.111 | 0.042 | 0.082 | 0.519 | 0.604 |
| Conditional indirect effect of IV on DV at moderator value = low relevance | effect = 0.123 ( | effect = 0.065 ( | ||||||
| Conditional indirect effect of IV on DV at moderator value = high relevance | effect = 0.074 ( | effect = 0.085 ( | ||||||
| Index of moderated mediation | index = −0.050 ( | index = 0.020 ( | ||||||
H2a: IV = liking of protagonist, Mediator = experienced suspense, DV = reading appreciation, Moderator = manipulated relevance of news story.
H2b: IV = liking of protagonist, Mediator = experienced suspense, DV = lingering interest, Moderator = manipulated relevance of news story.
p < 0.05,
p < 0.01,
p < 0.001.
The table depicts the model summaries, unstandardized coefficients, and the point estimate for the (moderated) indirect effects.
Analyses of moderated mediation models of Study 3 (H2c and H2d).
| Model summary (criterion = mediator) | ||||||||
| Effect of IV on mediator ( | 0.158 | 0.039 | 4.028 | <0.001 | 0.148 | 0.036 | 4.147 | <0.001 |
| Effect of moderator on mediator ( | −0.046 | 0.072 | −0.623 | 0.534 | −0.035 | 0.068 | −0.517 | 0.605 |
| Effect of IV*moderator on mediator ( | −0.002 | 0.078 | −0.019 | 0.985 | 0.038 | 0.072 | 0.531 | 0.595 |
| Model summary (criterion = DV) | ||||||||
| Effect of mediator on DV ( | 0.471 | 0.041 | 11.399 | <0.001 | 0.382 | 0.045 | 8.510 | <0.001 |
| Effect of IV on DV ( | 0.247 | 0.040 | 6.180 | <0.001 | 0.226 | 0.040 | 5.684 | <0.001 |
| Effect of moderator on DV ( | −0.017 | 0.075 | −0.224 | 0.823 | −0.002 | 0.075 | −0.030 | 0.976 |
| Effect of IV*moderator on DV ( | 0.007 | 0.079 | 0.091 | 0.928 | −0.046 | 0.079 | −0.584 | 0.560 |
| Conditional indirect effect of IV on DV at moderator value = low relevance | effect = 0.075 ( | effect = 0.050 ( | ||||||
| Conditional indirect effect of IV on DV at moderator value = high relevance | effect = 0.074 ( | effect = 0.064 ( | ||||||
| Index of moderated mediation | index = −0.001 ( | index = 0.015 ( | ||||||
| Model summary (criterion = DV) | ||||||||
| Effect of mediator on DV ( | 0.641 | 0.049 | 13.104 | <0.001 | 0.528 | 0.050 | 10.624 | <0.001 |
| Effect of IV on DV ( | 0.170 | 0.047 | 3.598 | <0.001 | 0.158 | 0.044 | 3.579 | <0.001 |
| Effect of moderator on DV ( | 0.109 | 0.089 | 1.234 | 0.218 | 0.262 | 0.083 | 3.184 | 0.002 |
| Effect of IV*moderator on DV ( | 0.100 | 0.093 | 1.066 | 0.287 | 0.094 | 0.087 | 1.085 | 0.278 |
| Conditional indirect effect of IV on DV at moderator value = low relevance | effect = 0.102 ( | effect = 0.068 ( | ||||||
| Conditional indirect effect of IV on DV at moderator value = high relevance | effect = 0.101 ( | effect = 0.089 ( | ||||||
| Index of moderated mediation | index = −0.001 ( | index = 0.020 ( | ||||||
H2c: IV = perceived likelihood of a good ending, Mediator = experienced suspense, DV = reading appreciation, Moderator = manipulated relevance of news story.
H2d: IV = perceived likelihood of a good ending, Mediator = experienced suspense, DV = lingering interest, Moderator = manipulated relevance of news story.
p < 0.05,
p < 0.01,
p < 0.001.
The table depicts the model summaries, unstandardized coefficients, and the point estimate for the (moderated) indirect effects.