Detecting The Dark Triads Using Social Media Data

Rahman, Kazi Rezoanur; Hashem, Prottoy

dc.contributor.author	Rahman, Kazi Rezoanur
dc.contributor.author	Hashem, Prottoy
dc.date.accessioned	2020-10-28T15:01:24Z
dc.date.available	2020-10-28T15:01:24Z
dc.date.issued	2018-11-15
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dc.identifier.uri	http://hdl.handle.net/123456789/619
dc.description	Supervised by Mr. MD Abed Rahman Lecturer Department of Computer Science and Engineering, Islamic University of Technology.	en_US
dc.description.abstract	This research proposes a method to detect the dark triads from a person’s social media behavior. Currently there is a spread of lies and deception in the online community. Our proposed method gets a person’s most recent Social media updates and predicts a person’s Narcissism, Psychopathy, Machiavellianism. These three characteristics are part of The Dark Triads. We receive the data from Facebook and take surveys to get the class label. We treat this as a binary classification problem. We tested across several supervised machine learning algorithm and received reasonable amount of accuracy.	en_US
dc.language.iso	en	en_US
dc.publisher	Department of Computer Science and Engineering, Islamic University of Technology, Board Bazar, Gazipur, Bangladesh	en_US
dc.subject	Dark triads, Phrase-machine, Bag-of-ngrams, Psychometric tests, Narcissism, Psychopathy, Machiavennilism, Personality detection.	en_US
dc.title	Detecting The Dark Triads Using Social Media Data	en_US
dc.type	Thesis	en_US