{'fraction_non_alphanumeric': 0.011786038077969175, 'fraction_numerical': 0.0, 'mean_word_length': 5.650602409638554, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Predicting sexual aggression: the role of pornography in the context of general and specific risk factors.

The main focus of the present study was to examine the unique contribution (if any) of pornography consumption to men's sexually aggressive behavior. Even after controlling for the contributions of risk factors associated with general antisocial behavior and those used in Confluence Model research as specific predictors of sexual aggression, we found that high pornography consumption added significantly to the prediction of sexual aggression. Further analyses revealed that the predictive utility of pornography was due to its discriminative ability only among men classified (based on their other risk characteristics) at relatively high risk for sexual aggression. Other analyses indicated that the specific risk factors accounted for more variance in sexual aggression than the general risk factors and mediated the association between the general risk factors and sexual aggression. We illustrate the potential application of the findings for risk assessment using a classification tree.