2026-09-19T18:26:33Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/765722022-01-13T07:55:03Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Henry Lieberman.
Dinakar, Karthik
Massachusetts Institute of Technology. Dept. of Architecture. Program in Media Arts and Sciences.
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
2013-01-23T20:23:46Z
2013-01-23T20:23:46Z
2012
2012
http://hdl.handle.net/1721.1/76572
823864002
Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2012.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 91-96).
The scourge of cyber-bullying has received widespread attention at all levels of society including parents, educators, adolescents, social scientists, psychiatrists and policy makers at the highest echelons of power. Cyber-bullying and it's complex intermingling with traditional bullying has been shown to have a deeply negative impact on both the bully as well as the victim. We hypothesize that tackling cyber-bullying entails two parts - detection and user-interaction strategies for effective mitigation. In this thesis, we investigate the problem of detecting textual cyber-bullying. A companion thesis by Birago Jones will investigate use-interaction strategies. In this thesis, we explore mechanisms to tackle the problem of textual cyber-bullying using computational empathy - a combination of detection and intervention techniques informed by scoping the social parameters that underlie the problem as well as a socio-linguistic treatment of the underlying socially mediated communication on the web. We begin by presenting a qualitative analysis of textual cyber-bullying based on data gathered from two major social networking websites and decompose the problem of detection into sub-problems. I then present Ruminati - a society of models of models involving supervised learning, commonsense reasoning and probabilistic topic modeling to tackle each sub-problem.
by Karthik Dinakar.
S.M.
96 p.
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by
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http://dspace.mit.edu/handle/1721.1/7582
Architecture. Program in Media Arts and Sciences.
Ruminati : modeling the detection of textual cyber-bullying
Modeling the detection of textual cyber-bullying
Thesis
application/pdf
Publication
unknown
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<Abstract>The scourge of cyber-bullying has received widespread attention at all levels of society including parents, educators, adolescents, social scientists, psychiatrists and policy makers at the highest echelons of power. Cyber-bullying and it's complex intermingling with traditional bullying has been shown to have a deeply negative impact on both the bully as well as the victim. We hypothesize that tackling cyber-bullying entails two parts - detection and user-interaction strategies for effective mitigation. In this thesis, we investigate the problem of detecting textual cyber-bullying. A companion thesis by Birago Jones will investigate use-interaction strategies. In this thesis, we explore mechanisms to tackle the problem of textual cyber-bullying using computational empathy - a combination of detection and intervention techniques informed by scoping the social parameters that underlie the problem as well as a socio-linguistic treatment of the underlying socially mediated communication on the web. We begin by presenting a qualitative analysis of textual cyber-bullying based on data gathered from two major social networking websites and decompose the problem of detection into sub-problems. I then present Ruminati - a society of models of models involving supervised learning, commonsense reasoning and probabilistic topic modeling to tackle each sub-problem.</Abstract>
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