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Erschienen in:
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2024 | OriginalPaper | Buchkapitel

The Online Behaviour of the Algerian Abusers in Social Media Networks

verfasst von : Kheireddine Abainia

Erschienen in: Big Data, Machine Learning, and Applications

Verlag: Springer Nature Singapore

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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.

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Fußnoten
2
Arabic words written in Latin script.
 
Literatur
1.
Abainia K (2020) DZDC12: a new multipurpose parallel Algerian Arabizi–French code-switched corpus. J Langage Resour Eval 54:419–455
2.
Almenayes J (2017) The relationship between cyberbullying victimization and depression: the moderating effects of gender and age. J Social Netw 6(3):215–223
3.
Al Omoush KS, Yaseen SG, Alma’Aitah MA (2012) The impact of Arab cultural values on online social networking: the case of Facebook. J Comput Human Behav 28(6):2387–2399
4.
Al-Zahrani AM (2015) Cyberbullying among Saudi’s higher-education students: implications for educators and policymakers. World J Educ 5(3):15–26
5.
Arafa A, Senosy S (2017) Pattern and correlates of cyberbullying victimization among Egyptian university students in Beni-Suef, Egypt. J Egypt Public Health Assoc 92(2):107–115
6.
Awan I (2014) Islamophobia and Twitter: a typology of online hate against muslims on social media. Policy Internet 6(2):133–150
7.
Awan I (2016) Islamophobia on social media: a qualitative analysis of the Facebook’s walls of hate. Int J Cyber Criminol 10(1):1–20
8.
De Choudhury M, Gamon M, Counts S, Horvitz E (2013, June) Predicting depression via social media. Facebook: a hidden threat to users’ life satisfaction? In: Proceedings of the 7th international AAAI conference on weblogs and social media
9.
Golbeck J, Ashktorab Z, Banjo RO, Berlinger A, Bhagwan S, Buntain C, Cheakalos P, A Geller A, Gergory Q, Gnanasekaran RK, Gunasekaran RR, Hoffman KM, Hottle J, Jienjitlert V, Khare S, Lau R, Martindale MJ, Naik S, Heather L, Nixon, Ramachandran P, Rogers KM, Rogers L, Sarin MS, Shahane G, Thanki J, Vengataraman P, Wan Z, Wu DM (2017). A large labeled corpus for online harassment research. In: Proceedings of the 2017 ACM on web science conference, pp 229–233
10.
Heiman T, Olenik-Shemesh D (2016) Computer-based communication and cyberbullying involvement in the sample of Arab teenagers. Educ Inf Technol 21(5):1183–1196
11.
Joshi AK (1982). Processing of sentences with intra-sentential code-switching. In: Proceedings of the 9th conference on computational linguistics, 5–10 July. Prague, Czechoslovakia, pp 145–150
12.
Kachru BB (1977) Code-switching as a communicative strategy in India. In: Saville- Troike M (ed) Linguistics and anthropology. Georgetown University Round Table on Languages and Linguistics. Georgetown University Press, Washington D.C.
13.
Kayes I, Kourtellis N, Quercia D, Iamnitchi A, Bonchi F (2015). The social world of content abusers in community question answering. In: Proceedings of the 24th international conference on world wide web, international world wide web conferences steering committee, May 2015, pp 570–580
14.
Lapidot-Lefler N, Hosri H (2016) Cyberbullying in a diverse society: comparing Jewish and Arab adolescents in Israel through the lenses of individualistic versus collectivist cultures. J Soc Psychol Educ 19(3):569–585
15.
Lowry PB, Zhang J, Wang C, Siponen M (2016) Why do adults engage in cyberbullying on social media? An integration of online disinhibition and deindividuation effects with the social structure and social learning model. Inf Syst Res 27(4):962–986
16.
Starcevic V, Billieux J, Schimmenti A (2018) Selfitis, selfie addiction, twitteritis: irresistible appeal of medical terminology for problematic behaviours in the digital age. J Aus N Z Psychiatry 52(5):408–409
17.
Triantoro S (2015) Are daily spiritual experiences, self-esteem, and family harmony predictors of cyberbullying among high school student. Int J Res Studi Psychol 4(3)23–33
Metadaten
Titel
The Online Behaviour of the Algerian Abusers in Social Media Networks
verfasst von
Kheireddine Abainia
Copyright-Jahr
2024
Verlag
Springer Nature Singapore
Buch
Big Data, Machine Learning, and Applications

Print ISBN: 978-981-9934-80-5

Electronic ISBN: 978-981-9934-81-2

Copyright-Jahr: 2024

DOI
https://doi.org/10.1007/978-981-99-3481-2_52

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