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Computer Science > Social and Information Networks

arXiv:2203.10369 (cs)
[Submitted on 19 Mar 2022]

Title:The Online Behaviour of the Algerian Abusers in Social Media Networks

Authors:Kheireddine Abainia
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Abstract:Connecting to social media networks becomes a daily task for the majority of people around the world, and the amount of shared information is growing exponentially. Thus, controlling the way in which people communicate is necessary, in order to protect them from disorientation, conflicts, aggressions, etc. In this paper, we conduct a statistical study on the cyber-bullying and the abusive content in social media (i.e. Facebook), where we try to spot the online behaviour of the abusers in the Algerian community. More specifically, we have involved 200 Facebook users from different regions among 600 to carry out this study. The aim of this investigation is to aid automatic systems of abuse detection to take decision by incorporating the online activity. Abuse detection systems require a large amount of data to perform better on such kind of texts (i.e. unstructured and informal texts), and this is due to the lack of standard orthography, where there are various Algerian dialects and languages spoken.
Comments: BigDML 2021
Subjects: Social and Information Networks (cs.SI); Computation and Language (cs.CL)
Cite as: arXiv:2203.10369 [cs.SI]
  (or arXiv:2203.10369v1 [cs.SI] for this version)
  https://doi.org/10.48550/arXiv.2203.10369

Submission history

From: Kheireddine Abainia [view email]
[v1] Sat, 19 Mar 2022 18:22:06 UTC (599 KB)
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