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PERSONALITY-BASED REFINEMENT OF USER POSTINGS ON SOCIAL-MEDIA NETWORKS
PERSONALITY-BASED REFINEMENT OF USER POSTINGS ON SOCIAL-MEDIA NETWORKS
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机译：社交媒体网络上基于个性的用户帖子补充
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摘要
A method and associated systems for personality-based refinement of user postings on social-media networks. A communications-management system applies artificial intelligence, analytics, and psycholinguistics to generate a personality profile for each recipient network user capable of receiving content posted on the network. The system uses this profile to determine a probability that each user will respond to the posted content in an undesirable way. The system then reviews past postings by each recipient user to determine how extrinsic events influenced the way each recipient previously responded to online postings. After determining whether similar extrinsic events currently exist, the system predicts whether a proposed posting is likely to elicit an undesirable response. If the probability of such a response exceeds a preset threshold, the system automatically revises the posting, prior to posting it on the network, in order to mitigate the probability of an undesirable response.
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