IDENTIFYING DECEPTIVE SOCIAL MEDIA CONTENT

IDENTIFYING DECEPTIVE SOCIAL MEDIA CONTENT

Approaches presented herein enable identifying a deceptive social media post such as a fraudulent social survey in a social media environment. Specifically, a regression model including one or more factors, each of the one or more factors includes a respective parameter, is generated based on an ana...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Grant, Robert H, Denner, Gary, Hewitt, Trudy L, Dunne, Jonathan
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:Approaches presented herein enable identifying a deceptive social media post such as a fraudulent social survey in a social media environment. Specifically, a regression model including one or more factors, each of the one or more factors includes a respective parameter, is generated based on an analysis of prior social media scam data. A predictor function including a threshold value is generated based on the regression model. A repudiation value for a particular social media post is calculated using the predictor function based on one or more factors and respective parameters. If the repudiation value exceeds the threshold value, a repudiation is provided indicating the social media post is potentially fraudulent.