Social media engagement analysis of U.S. Federal health agencies on Facebook

• Published in: BMC medical informatics and decision making Vol. 17; no. 1; p. 49
• Main Authors: Bhattacharya, Sanmitra, Srinivasan, Padmini, Polgreen, Philip
• Format: Journal Article
• Language: English
• Published: England BioMed Central 21.04.2017; BMC
• Subjects: Adults; Aggressive behavior; Alcoholic beverages; Bioinformatics; CAI; Children; Classification; Colleges & universities; Communication; Community involvement; Complexity; Computer applications; Computer assisted instruction; Data acquisition; Data collection; Data mining; Data processing; Disease control; Drug addiction; Ecology; Emotional behavior; Engagement analysis; Facebook; Finite element method; Health care; Health sciences; Hum; Humans; Hurdle model; Impulsive behavior; Information Dissemination; Information Seeking Behavior; Internet; Intervention; Lability; Language; Learning algorithms; Lists; Local government; Machine learning; Marketing; Medical personnel; Messages; Models, Statistical; Multimedia; Natural language processing; Networking; Patient Acceptance of Health Care; Politics; Polls & surveys; Proportional hazards model; Public concern; Public health; Regression analysis; Semantics; Smoking; Social Media; Social media mining; Social Networking; Social networks; Social organization; Social research; Survival; Translation; United States; United States Dept. of Health and Human Services; United States > US; Social media mining; Statistical modeling; Engagement analysis; Data mining; Facebook; Hurdle model; Proportional hazards model

It is becoming increasingly common for individuals and organizations to use social media platforms such as Facebook. These are being used for a wide variety of purposes including disseminating, discussing and seeking health related information. U.S. Federal health agencies are leveraging these platf...