Newman, E. J. (2013). Nonprobative Photos Inflate the Truthiness and Falsiness of Claims (Version 1). Open Access Te Herenga Waka-Victoria University of Wellington. https://doi.org/10.26686/wgtn.17003764.v1
Abstract de l'autrice
When people evaluate claims they often rely on what comedian Stephen Colbert calls truthiness, judging claims using subjective feelings of truth, rather than drawing on facts. Over seven experiments I examined how nonprobative photos can manufacture truthiness in just a few seconds. I found that a quick exposure to a photo that relates to, but does not provide any probative evidence about the accuracy of claims can systematically bias people to conclude claims are true. In Experiments 1A and 1B, people saw familiar and unfamiliar celebrity names and, for each, quickly responded "true" or "false" to the claim "This famous person is alive" or (between subjects) "This famous person is dead." Within subjects, some names appeared with a photo of the celebrity engaged in his/her profession whereas other names appeared alone. For unfamiliar celebrity names, photos increased the likelihood that subjects judged the claim to be true. Moreover, the same photos inflated the truth of "Alive" and "Dead" claims, suggesting that photos did not produce an "alive bias," but a "truth bias."
Experiment 2 showed that photos and verbal information similarly inflated truthiness, suggesting that the effect is not peculiar to photographs per se. Experiment 3 demonstrated that nonprobative photos can also enhance the truthiness of general knowledge claims (Giraffes are the only mammals that cannot jump). In Experiments 4-6 I examined boundary conditions for truthiness. I found that the semantic relationship between the photo and claim mattered. Experiment 4 showed that in a within-subject design, related photos produced truthiness, but unrelated photos acted just like the no photo condition. But unrelated photos were not always benign, Experiment 5 showed that their effects depended on experimental context. In a mixed design, related photos produced truthiness and unrelated photos produced falsiness.
Although the effect of related photos was robust across materials and variation in experimental context, when I used a fully between-subjects design in Experiment 6, the effect of photos (related and unrelated) was eliminated. These effects add to a growing literature on how nonprobative information can influence people’s decisions and suggest that nonprobative photographs do more than simply decorate, they can rapidly manufacture feelings of truth. As with many effects in the cognitive psychology literature, the photo-truthiness effect depends on the way in which people process and interpret photos when evaluating the truth of claims.
Chapter 1
In this thesis I use the term “truthiness” to refer to a category of phenomena in which the addition of nonprobative information causes people to shift rapidly towards believing a claim (see also the illusory truth effect; Begg, Anas, & Farinacci, 1992).
Judging Truth
Repetition and Truth
Conceptual Fluency and Cognitive Availability.
Imagery and Reality Monitoring.
Trawling for Confirming Evidence.
Overview
If photos help boost cognitive availability of related thoughts and images, or help people trawl for and selectively interpret information in line with their hypothesis about unfamiliar celebrities, then photos should increase the truthiness of claims about those celebrities, regardless of whether the claim is that the celebrity is alive or dead (cf. Unkelbach, 2007).
Chapter 2 - Experiment 1A & 1B
Experiment 1A and 1B
Design
- VI1: photograph: yes, no
- VI2: familiarity: familiar, unfamiliar (i.e. est-ce que la personne est "connue" ou non)
- VI3: claim: alive, dead
- VD: C score (déviation à dire "true")
Résultant en un 2x2x2 mixed design, avec photograph et familiarity within subjects et le claim between subjects.
Résultats
- Elle a réalisé une mixed repeated measures (photograph) x 2 (familiarity) x 2 (claim) ANOVA
- Effet de la photo:
- Experiment 1A, F(1, 90) = 4.87, p = .03, ηp² = .05;
- Experiment 1B, F(1, 46) = 10.53, p < .01, ηp2 = .19)
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Discussion
Newman remarque que les gens ont tendance à trouver vraies les "Alive" claims plus souvent que les "Dead" claims.
A ce moment, Newman se demande si c'est un biais de truthiness ou d'aliveness (i.e. le fait qu'on voit la photo fait penser que la personne est en vie).
Photos might promote truthiness because they provide a rich semantic context that facilitates the generation of thoughts and images relating to the claim. But these results also fit with the idea that feelings of truthiness arose because photos are inherently credible or that over time people have come to associate photos with the conclusion that something is real and true (cf. Unkelbach, 2007).
Chapter 3 - Experiment 2 and 3
Experiment 2
Pour l'expérience 2, elle se demande si des types d'informations non probantes autres que les photos vont avoir un impact sur la truthiness. Elle a donc cherché à comparer les types de formats (photo et verbal).
Design
Variables:
- VI 1: nonprobative information: yes, no
- VI 2: format of nonprobative information: photo, verbal
- VI 3: claim: alive, dead
- VD : C score
Elle a abouti à un design mixte 2 (nonprobative information) x 2 (format of nonprobative information) x 2 (claim) avec le format et le claim comme élément intrasujet. Elle a aussi gardé uniquement les unfamiliar names.
Résultats
Elle a fait une mixed repeated measures 2 (nonprobative information: yes, no) x 2 (format of nonprobative information: photo, verbal) x 2 (claim: alive, dead) ANOVA. Elle a trouvé un effet de la présence de nonprobative information: F(1, 50) = 10.27, p < .01, ηp2 = .17.
Discussion
Elle a donc trouvé un effet de la nonprobative information, que ce soit du texte ou de l'image. Ce n'est donc pas directement lié à la crédibilité de l'image.
Experiment 3
Elle regarde l'impact de l'image sur des "trivia claims". Elle utilise de phrases produites pour les articles de Unkelbach (2007) et Nelson & Narens (1980).
Design
Variables:
- VI1: photograph: yes, no
- VI2: difficulty: easy, hard
- VD: C score
Ce qui en fait un design (photograph: yes, no) x 2 (difficulty: easy, hard) within-subjects design
Résultats
Elle a fait une repeated measures 2 (photograph: yes, no) x 2 (difficulty: easy, hard) ANOVA Elle a trouvé un effet de la photo : F(1, 69) = 6.65, p = .01, ηp2 = .09
Summary of Experiments 1-3
Photos did not produce an "alive bias," but a "truth bias." Moreover, the truthiness effect generalized beyond Dead or Alive judgements: Nonprobative photos enhanced the subjective truth of general knowledge claims, too.
Effect of photos on subjective truth is driven not simply by a perception that photos are inherently trustworthy. We speculate that nonprobative photos and verbal information help people generate pseudoevidence (cf. Kelly & Nace, 1994).
our findings suggest that even without repeated exposures or instructions to imagine, the mere presence of nonprobative information such as photos might rapidly inflate the perceived truth of many types of true and false claims
Under what conditions do photos produce truthiness?
There are reasons to predict that relative to related photos, unrelated photos should cause disfluency. That is, unrelated photos should make it more difficult for people to bring related thoughts and images to mind. For instance, in one study, when people saw a target word that was semantically unrelated to a preceding sentence (“The librarian reached for the top shelf and pulled down a book” “napkin”), they rated that target word as less pleasant than when they saw a target that was semantically related (“read”; Lee & Labroo, 2004)
(...) The semantically unrelated words were relatively disfluent compared to their semantically related counterparts.
(...) Parallel effects occur with perceptual manipulations; degraded images, difficult fonts, and low contrast colors can lead people to invest more cognitive effort to make sense of stimuli and people tend to be evaluate these stimuli more negatively (Diemand-Yauman, Oppenheimer, & Vaughan, 2011; Petrova & Cialdini, 2005; Reber & Schwarz 1999; see Yue, Castel, & Bjork, in press).
(...) That is, nonprobative, unrelated information should cause people to disbelieve a claim
(...)
But there are also reasons to predict that unrelated photos would not cause falsiness
(...) adding irrelevant information produces the same effect as giving people no information at all (Gill, Swann, & Silvera, 1998). Thus, a trawling mechanism would predict that unrelated photos would have little if any effect on people’s decisions.
Chapter 4
Experiment 4
Design
Elle a fait une manipulation d'un facteur intra-sujets à 3 niveaux (related photo, unrelated photo, no photo). Elle se base à nouveau sur les trivia claims récupérés de Nelson & Narens (1980) et Unkelbach (2007).
To orient people to the task, for the first 16 trials they saw easy trivia claims (which tend to be answered correctly 80-100% of the time). Half these easy claims appeared with a related photograph, half with no photograph. To ensure the practice phase did not teach subjects a rule about the relationship between truth and the presence of photos, we paired photos equally often with true and false statements.
Immediately after these easy practice trivia claims, the experimental phase began. Subjects saw 24 difficult trivia claims. For one third of trials, a related nonprobative photo depicted the grammatical subject of the statement
(...) for another third of trials, a semantically unrelated nonprobative photo appeared with the claim (for instance, the claim about macadamia nuts appeared with a photo of a trash can). For the other third of the trials, people saw trivia claims presented without a photo.
(...) As a set, the unrelated photos represented a similar range of living and non-living objects as the original set of related photos from Newman et al.
Résultats
Unrelated photos did not produce truthiness; instead, trials with unrelated photos behaved more like trials with no photos.
Une ANOVA à 1 facteur a montré un effet de la photo F(2, 206) = 4.10, p = .02, ηp2 = .04.
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The finding that related, but not unrelated, photos produced truthiness replicates our earlier work and fits with the idea that unrelated photos would not affect people’s true/false decisions.
(...)
But it is possible that this context led subjects to find a semantic relationship between the claim and the photo, for both types of photos. For instance, they might have looked at the thermometer claim paired with a lizard, and thought “Well, the lizard is long and thin, like a thermometer, and has a stripe up the center just like a thermometer.” Such a strategy would have mitigated the perceived incongruency between the photos and trivia claims, leading unrelated photos to become more like related photos and diluting their falsiness. This idea fits with research showing that people will find or create meaning (Bartlett, 1932), especially when they are faced with pairings that don’t have an obvious semantic relationship (for instance, novel metaphors; Grimshaw, Stewart, & Lauwereyns, 2011; Lynott & Connell, 2010). Of course, a critic might argue that unrelated photos produced little bias compared to no photos for other, less interesting reasons: Perhaps people just adopted a strategy of ignoring unrelated photos, much like the way people in a Stroop task can adopt a strategy to ignore the word and focus on the color (Kane & Engle, 2003; Stroop, 1935; see also Besner, Stolz, & Boutilier, 1997). This strategy seems possible, but is unlikely on closer consideration. Because the unrelated photos randomly appeared among related photos, people must have processed photos enough to understand that they were unrelated.
Experiment 5
Design
Elle a fait un 2 (photo: yes, no) x 2 (relatedness: related, unrelated) mixed design
We used the same procedure as Experiment 4 with the following changes. Immediately after seeing the easy practice trivia claims, people saw 32 difficult trivia claims (half true, half false). Half the claims appeared with a photo; for half the subjects the photo was always related to the claim whereas for the remaining subjects it was always unrelated to the claim with which it appeared.
Résultats
Elle a fait une ANOVA mixte 2 x 2 qui a montré un effet d'interaction entre Photo et Relatedness, F(1, 194) = 9.01, p < .01 ηp2 = .04
- les photos liées ont donc produit un effet de truthiness
- les photos sans lien ont produit un effet de falsiness
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Discussion
When it is easier than expected to retrieve something, people interpret that processing discrepancy as a cue to truth; conversely, when it is more difficult than expected to retrieve something, people interpret this discrepancy the opposite way. But when processing matches expectations, there is no discrepancy to interpret.
If truthiness (and falsiness) depends on a standard, we should see that the pattern from Experiment 5 disappears when people have no standard against which to interpret the ease or difficulty of processing that accompanies claims paired with photos. Accordingly, in Experiment 6 we manipulated the photo factor entirely between-subjects.
Experiment 6
Design
single-factor (photo: related, unrelated, no photo) between-subjects design.
Elle a fait donc en sorte que:
- 1/3 voient des photos liées à des trivia claims'
- 1/3 voient des photos non-liées à des trivia claims'
- 1/3 ne voient que les trivia claims
Résultats
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