Aggressive Social Media Post Detection System Containing Symbolic Images

Kirti Kumari; Jyoti Prakash Singh; Yogesh K. Dwivedi; Nripendra P. Rana

doi:10.1007/978-3-030-29374-1_34

Aggressive Social Media Post Detection System Containing Symbolic Images

Kirti Kumari
, Jyoti Prakash Singh
, Yogesh K. Dwivedi
, Nripendra P. Rana^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

20 Scopus citations

Abstract

Social media platforms are an inexpensive communication medium help to reach other users very quickly. The same benefit is also utilized by some mischievous users to post objectionable images and symbols to certain groups of people. This types of posts include cyber-aggression, cyberbullying, offensive content, and hate speech. In this work, we analyze images posted on online social media sites to hurt online users. In this research, we designed a deep learning based system to classify aggressive post from a non-aggressive post containing symbolic images. To show the effectiveness of our model, we created a dataset crawling images from Google search to query aggressive images. The validation shows promising results.

Original language	English
Title of host publication	Digital Transformation for a Sustainable Society in the 21st Century - 18th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2019, Proceedings
Editors	Ilias O. Pappas, Ilias O. Pappas, John Krogstie, Letizia Jaccheri, Patrick Mikalef, Yogesh K. Dwivedi, Matti Mäntymäki
Publisher	Springer Verlag
Pages	415-424
Number of pages	10
ISBN (Print)	9783030293734
DOIs	https://doi.org/10.1007/978-3-030-29374-1_34
State	Published - 2019
Externally published	Yes
Event	18th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2019 - Trondheim, Norway Duration: 18 Sep 2019 → 20 Sep 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11701 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	18th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2019
Country/Territory	Norway
City	Trondheim
Period	18/09/19 → 20/09/19

Bibliographical note

Publisher Copyright:
© 2019, IFIP International Federation for Information Processing.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 16 Peace, Justice and Strong Institutions

Keywords

Augmentation
Convolutional Neural Network
Cyber-aggression
Cyberbullying
Online Social Networks

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-030-29374-1_34

Cite this

Kumari, K., Singh, J. P., Dwivedi, Y. K., & Rana, N. P. (2019). Aggressive Social Media Post Detection System Containing Symbolic Images. In I. O. Pappas, I. O. Pappas, J. Krogstie, L. Jaccheri, P. Mikalef, Y. K. Dwivedi, & M. Mäntymäki (Eds.), Digital Transformation for a Sustainable Society in the 21st Century - 18th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2019, Proceedings (pp. 415-424). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11701 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-29374-1_34

Kumari, Kirti ; Singh, Jyoti Prakash ; Dwivedi, Yogesh K. et al. / Aggressive Social Media Post Detection System Containing Symbolic Images. Digital Transformation for a Sustainable Society in the 21st Century - 18th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2019, Proceedings. editor / Ilias O. Pappas ; Ilias O. Pappas ; John Krogstie ; Letizia Jaccheri ; Patrick Mikalef ; Yogesh K. Dwivedi ; Matti Mäntymäki. Springer Verlag, 2019. pp. 415-424 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{d9b91fd1d52c4c0dae49a74e232d7886,

title = "Aggressive Social Media Post Detection System Containing Symbolic Images",

abstract = "Social media platforms are an inexpensive communication medium help to reach other users very quickly. The same benefit is also utilized by some mischievous users to post objectionable images and symbols to certain groups of people. This types of posts include cyber-aggression, cyberbullying, offensive content, and hate speech. In this work, we analyze images posted on online social media sites to hurt online users. In this research, we designed a deep learning based system to classify aggressive post from a non-aggressive post containing symbolic images. To show the effectiveness of our model, we created a dataset crawling images from Google search to query aggressive images. The validation shows promising results.",

keywords = "Augmentation, Convolutional Neural Network, Cyber-aggression, Cyberbullying, Online Social Networks",

author = "Kirti Kumari and Singh, \{Jyoti Prakash\} and Dwivedi, \{Yogesh K.\} and Rana, \{Nripendra P.\}",

note = "Publisher Copyright: {\textcopyright} 2019, IFIP International Federation for Information Processing.; 18th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2019 ; Conference date: 18-09-2019 Through 20-09-2019",

year = "2019",

doi = "10.1007/978-3-030-29374-1\_34",

language = "English",

isbn = "9783030293734",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "415--424",

editor = "Pappas, \{Ilias O.\} and Pappas, \{Ilias O.\} and John Krogstie and Letizia Jaccheri and Patrick Mikalef and Dwivedi, \{Yogesh K.\} and Matti M{\"a}ntym{\"a}ki",

booktitle = "Digital Transformation for a Sustainable Society in the 21st Century - 18th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2019, Proceedings",

address = "Germany",

}

Kumari, K, Singh, JP, Dwivedi, YK & Rana, NP 2019, Aggressive Social Media Post Detection System Containing Symbolic Images. in IO Pappas, IO Pappas, J Krogstie, L Jaccheri, P Mikalef, YK Dwivedi & M Mäntymäki (eds), Digital Transformation for a Sustainable Society in the 21st Century - 18th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11701 LNCS, Springer Verlag, pp. 415-424, 18th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2019, Trondheim, Norway, 18/09/19. https://doi.org/10.1007/978-3-030-29374-1_34

Aggressive Social Media Post Detection System Containing Symbolic Images. / Kumari, Kirti; Singh, Jyoti Prakash; Dwivedi, Yogesh K. et al.
Digital Transformation for a Sustainable Society in the 21st Century - 18th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2019, Proceedings. ed. / Ilias O. Pappas; Ilias O. Pappas; John Krogstie; Letizia Jaccheri; Patrick Mikalef; Yogesh K. Dwivedi; Matti Mäntymäki. Springer Verlag, 2019. p. 415-424 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11701 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Aggressive Social Media Post Detection System Containing Symbolic Images

AU - Kumari, Kirti

AU - Singh, Jyoti Prakash

AU - Dwivedi, Yogesh K.

AU - Rana, Nripendra P.

PY - 2019

Y1 - 2019

N2 - Social media platforms are an inexpensive communication medium help to reach other users very quickly. The same benefit is also utilized by some mischievous users to post objectionable images and symbols to certain groups of people. This types of posts include cyber-aggression, cyberbullying, offensive content, and hate speech. In this work, we analyze images posted on online social media sites to hurt online users. In this research, we designed a deep learning based system to classify aggressive post from a non-aggressive post containing symbolic images. To show the effectiveness of our model, we created a dataset crawling images from Google search to query aggressive images. The validation shows promising results.

AB - Social media platforms are an inexpensive communication medium help to reach other users very quickly. The same benefit is also utilized by some mischievous users to post objectionable images and symbols to certain groups of people. This types of posts include cyber-aggression, cyberbullying, offensive content, and hate speech. In this work, we analyze images posted on online social media sites to hurt online users. In this research, we designed a deep learning based system to classify aggressive post from a non-aggressive post containing symbolic images. To show the effectiveness of our model, we created a dataset crawling images from Google search to query aggressive images. The validation shows promising results.

KW - Augmentation

KW - Convolutional Neural Network

KW - Cyber-aggression

KW - Cyberbullying

KW - Online Social Networks

UR - https://www.scopus.com/pages/publications/85072881532

U2 - 10.1007/978-3-030-29374-1_34

DO - 10.1007/978-3-030-29374-1_34

M3 - Conference contribution

AN - SCOPUS:85072881532

SN - 9783030293734

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 415

EP - 424

BT - Digital Transformation for a Sustainable Society in the 21st Century - 18th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2019, Proceedings

A2 - Pappas, Ilias O.

A2 - Krogstie, John

A2 - Jaccheri, Letizia

A2 - Mikalef, Patrick

A2 - Dwivedi, Yogesh K.

A2 - Mäntymäki, Matti

PB - Springer Verlag

T2 - 18th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2019

Y2 - 18 September 2019 through 20 September 2019

ER -

Kumari K, Singh JP, Dwivedi YK, Rana NP. Aggressive Social Media Post Detection System Containing Symbolic Images. In Pappas IO, Pappas IO, Krogstie J, Jaccheri L, Mikalef P, Dwivedi YK, Mäntymäki M, editors, Digital Transformation for a Sustainable Society in the 21st Century - 18th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2019, Proceedings. Springer Verlag. 2019. p. 415-424. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-29374-1_34

Aggressive Social Media Post Detection System Containing Symbolic Images

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this