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dc.contributor.authorPasricha, Nivranshu
dc.contributor.authorHayes, Conor
dc.date.accessioned2020-01-09T13:43:18Z
dc.date.available2020-01-09T13:43:18Z
dc.date.issued2019-12-05
dc.identifier.citationPasricha, Nivranshu, & Hayes, Conor. (2019). Detecting bot behaviour in social media using digital DNA compression. Paper presented at the 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science Galway, Ireland, 05-06 December.en_IE
dc.identifier.urihttp://hdl.handle.net/10379/15683
dc.description.abstractA major challenge faced by online social networks such as Facebook and Twitter is the remarkable rise of fake and automated bot accounts over the last few years. Some of these accounts have been reported to engage in undesirable activities such as spamming, political campaigning and spreading falsehood on the platform. We present an approach to detect bot-like behaviour among Twitter accounts by analyzing their past tweeting activity. We build upon an existing technique of analysis of Twitter accounts called Digital DNA. Digital DNA models the behaviour of Twitter accounts by encoding the post history of a user account as a sequence of characters analogous to an actual DNA sequence. In our approach, we employ a lossless compression algorithm on these Digital DNA sequences and use the compression statistics as a measure of predictability in the behaviour of a group of Twitter accounts. We leverage the information conveyed by the compression statistics to visually represent the posting behaviour by a simple two dimensional scatter plot and categorize the user accounts as bots and genuine users by using an off-the-shelf implementation of the logistic regression classification algorithm.en_IE
dc.description.sponsorshipThis publication has emanated from research supported in part by a research grant from Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/2289P2.en_IE
dc.formatapplication/pdfen_IE
dc.language.isoenen_IE
dc.publisherAICS (Artificial Intelligence and Cognitive Science) 2019en_IE
dc.relation.ispartof27th AIAI Irish Conference on Artificial Intelligence and Cognitive Scienceen
dc.subjectTwitteren_IE
dc.subjectSocial Mediaen_IE
dc.subjectOnline Social Networksen_IE
dc.titleDetecting bot behaviour in social media using digital DNA compressionen_IE
dc.typeConference Paperen_IE
dc.date.updated2020-01-09T11:51:21Z
dc.local.publishedsourcehttp://aics2019.datascienceinstitute.ie/papers.htmlen_IE
dc.description.peer-reviewedpeer-reviewed
dc.contributor.funderScience Foundation Irelanden_IE
dc.internal.rssid19150848
dc.local.contactNivranshu Pasricha, 103 Nlp Unit, , Data Science Institute, , Ida Business Park, , Lower Dangan, Galway. Email: n.pasricha1@nuigalway.ie
dc.local.copyrightcheckedYes
dc.local.versionPUBLISHED
dcterms.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2289/IE/INSIGHT - Irelands Big Data and Analytics Research Centre/en_IE
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