Pornography Use and Recall of Sexual and Neutral Words
Notice bibliographique
Résumé
This study examined the relationship between pornography use and memory for sexual and neutral words. One hundred and five undergraduates read two mixed lists of 13 sexual and 13 neutral words and were tested for recall. They also completed a questionnaire measuring how frequently they read or watched pornography, the Eysenck Personality Inventory measuring extraversion and faking, and a questionnaire measuring sex anxiety. Participants correctly remembered more sexual words than neutral words. There was no relationship between pornography use and recall of neutral words, but participants who reported that they accessed pornography recalled more sexual words than those who reported that they never did. It is argued that users of pornography are more interested in sexual words than non-users and may process the words more deeply. ********** Researchers have demonstrated that memory performance is a function of many factors, one of which is the nature of the material to be remembered. For example, many studies have demonstrated that visual material is better remembered than non-visual material, whether the comparison is between pictures and words or between concrete and abstract words (Paivio, 1971). Another characteristic of the material is its emotionality, which generally enhances memory performance (Kensinger & Corkin, 2003). Bradley, Greenwald, Petry, and Lang (1992) found that recall was higher for pictures that were more emotional (e.g., aimed pistol, burn victim, nude woman) than for those that were less emotional (e.g., trash can, hair dryer, old woman). Emotionality itself has been organized into two dimensions (Kensinger & Corkin, 2003): arousal, which refers to whether the content is or calming and valence, which refers to whether the content is positive or negative (pleasant or unpleasant). Both factors have been shown to influence memory (Ihssen & Keil, 2004; Kensinger & Corkin, 2003). In particular, Bradley et al. found that recall of pictures increased linearly with arousal but followed a quadratic function with valence, where memory performance was better for unpleasant and for pleasant pictures than for neutral pictures. Although emotionality is perhaps easiest to manipulate with pictures, which can provide vivid images, investigators have also studied the effect of emotionality on memory for words. Kensinger and Corkin (2003) found that recognition memory accuracy was higher for words that were low in valence and high in arousal (negative exciting words) than for a variety of neutral words. To discriminate between valence and arousal, they conducted a second experiment with negative words that were low in valence but low in arousal (e.g., sorrow) and words that were not as low in valence but high in arousal (e.g., sex words or swear words). To control for the fact that taboo words and negative words each share a dominant feature, the neutral words were less varied than in the first experiment. Each neutral word was an associate of either think or mind. Recall and recognition accuracy were both higher for taboo words than for negative words and higher for negative words than for neutral words. Kensinger and Corkin concluded that both valence and arousal contributed to the emotion enhancement effect on memory, but the effect of arousal was greater. Other investigators have also examined memory for taboo words, particularly those that are explicitly sexual. MacKay, Shafto, Taylor, Marian, Abrams, and Dyer (2004) found that both incidental and intentional recall were higher for taboo words that were mostly sexual (e.g., fuck, cock, dildo) than neutral words from a variety of categories (e.g., wrist, snack, pasta) or neutral words from a single category (animal names). In addition, Bush and Geer (2001) studied cued recall for sexual words (e.g., fellatio, cum), negative emotional words (e.g., fight, injure), and neutral words from a variety of categories (e. …
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,003 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».