A framework for early detection of antisocial behavior on Twitter using natural language processing

Ravinder Singh, Jiahua Du, Yanchun Zhang, Hua Wang, Yuan Miao, Omid Ameri Sianaki, Anwaar Ulhaq

Research output: Book chapter/Published conference paperConference paperpeer-review

7 Citations (Scopus)


Online antisocial behavior is a social problem and a public health threat. A manifestation of such behavior may be fun for a perpetrator, however, can drive a victim into depression, self-confinement, low self-esteem, anxiety,anger, and suicidal ideation. Online platforms such as Twitter and Facebook can sometimes become breeding grounds for such behavior. These platforms may have measures in place to deter online antisocial behavior, however, such behavior still prevails. Most of the measures rely on users reporting to platforms for intervention. In this paper, we advocate a more proactive approach based on natural language processing and machine learning that can enable online platforms to actively look for signs of antisocial behavior and intervene before it gets out of control. By actively searching for such behavior, social media sites can possibly prevent dire situations that can lead to someone committing suicide.
Original languageEnglish
Title of host publicationComplex, intelligent, and software intensive systems
Subtitle of host publicationProceedings of the 13th international conference on complex, intelligent, and software intensive systems (CISIS-2019)
EditorsLeonard Barolli, Farookh Khadeer Hussain, Makoto Ikeda
Place of PublicationSwitzerland
PublisherSpringer Nature
Number of pages12
ISBN (Electronic)9783030223540
ISBN (Print)9783030223533
Publication statusPublished - 21 Jun 2019
Event13th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS-2019) - University of Technology Sydney, Sydney, Australia
Duration: 03 Jul 201905 Jul 2019
http://voyager.ce.fit.ac.jp/conf/cisis/2019/CISIS-IMIS-2019-full-program.pdf (Conference program)

Publication series

NameAdvances in Intelligent Systems and Computing
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365


Conference13th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS-2019)
OtherThe aim of the conference is to deliver a platform of scientific interaction between the three interwoven challenging areas of research and development of future ICT-enabled applications: Software Intensive Systems, Complex systems and Intelligent Systems. Software Intensive Systems are systems, which heavily interact with other systems, sensors, actuators, devices, other
software systems and users. More and more domains are involved with software intensive systems, e.g. automotive, telecommunication systems, embedded systems in general, industrial automation systems and business applications. Moreover, the outcome of web services delivers a new platform for enabling software intensive systems. The conference is thus focused on tools,
practically relevant and theoretical foundations for engineering software intensive systems.
Internet address


Dive into the research topics of 'A framework for early detection of antisocial behavior on Twitter using natural language processing'. Together they form a unique fingerprint.

Cite this