2021 Eighth International Conference on Social Network Analysis, Management and Security (SNAMS)

Michaela Lindenmayr; Ema Kusen; Mark Strembeck

2021 Eighth International Conference on Social Network Analysis, Management and Security (SNAMS)

Michaela Lindenmayr, Ema Kusen, Mark Strembeck

Complex Networks

Publikation: Beitrag in Buch/Konferenzband › Beitrag in Konferenzband

Abstract

In this paper, we present an analysis of 36,685 tweets related to the 2020 Vienna terror attack. We used a Convolutional Neural Network (CNN) approach to identify hateful and non-hateful tweets. Our findings indicate that users who post hateful content are predominantly anonymous. Moreover, we found that hateful messages can spread widely across the network and that hateful communication forms characteristic structural patterns.

Originalsprache	Englisch
Titel des Sammelwerks	“Stronger than Hate”: On the Dissemination of Hate Speech during the 2020 Vienna Terrorist Attack
Herausgeber*innen	Christian Guetl, Paolo Ceravolo, Yaser Jararweh, Elhadj Benkhelifa and Oluwasegun Adedugbe
Erscheinungsort	Gandia, Spain
Verlag	IEEE
Seiten	1 - 8
Publikationsstatus	Veröffentlicht - 2021

Verfügbarkeit prüfen

Katalog der Universitätsbibliothek

Andere Dateien und Links

http://xplorestaging.ieee.org/ielx7/9732060/9731845/09732081.pdf?arnumber=9732081

Zitat

Lindenmayr, M., Kusen, E., & Strembeck, M. (2021). 2021 Eighth International Conference on Social Network Analysis, Management and Security (SNAMS). in Christian Guetl, Paolo Ceravolo, Yaser Jararweh, Elhadj Benkhelifa and Oluwasegun Adedugbe (Hrsg.), “Stronger than Hate”: On the Dissemination of Hate Speech during the 2020 Vienna Terrorist Attack (S. 1 - 8). IEEE.

Lindenmayr, Michaela ; Kusen, Ema ; Strembeck, Mark. / 2021 Eighth International Conference on Social Network Analysis, Management and Security (SNAMS). “Stronger than Hate”: On the Dissemination of Hate Speech during the 2020 Vienna Terrorist Attack. Hrsg. / Christian Guetl, Paolo Ceravolo, Yaser Jararweh, Elhadj Benkhelifa and Oluwasegun Adedugbe. Gandia, Spain : IEEE, 2021. S. 1 - 8

@inproceedings{526f51a740d848dc8849ff46137f3554,

title = "2021 Eighth International Conference on Social Network Analysis, Management and Security (SNAMS)",

abstract = "In this paper, we present an analysis of 36,685 tweets related to the 2020 Vienna terror attack. We used a Convolutional Neural Network (CNN) approach to identify hateful and non-hateful tweets. Our findings indicate that users who post hateful content are predominantly anonymous. Moreover, we found that hateful messages can spread widely across the network and that hateful communication forms characteristic structural patterns.",

author = "Michaela Lindenmayr and Ema Kusen and Mark Strembeck",

year = "2021",

language = "English",

pages = "1 -- 8",

editor = "{Christian Guetl, Paolo Ceravolo, Yaser Jararweh, Elhadj Benkhelifa and Oluwasegun Adedugbe}",

booktitle = "“Stronger than Hate”: On the Dissemination of Hate Speech during the 2020 Vienna Terrorist Attack",

publisher = "IEEE",

}

Lindenmayr, M, Kusen, E & Strembeck, M 2021, 2021 Eighth International Conference on Social Network Analysis, Management and Security (SNAMS). in Christian Guetl, Paolo Ceravolo, Yaser Jararweh, Elhadj Benkhelifa and Oluwasegun Adedugbe (Hrsg.), “Stronger than Hate”: On the Dissemination of Hate Speech during the 2020 Vienna Terrorist Attack. IEEE, Gandia, Spain, S. 1 - 8.

2021 Eighth International Conference on Social Network Analysis, Management and Security (SNAMS). / Lindenmayr, Michaela; Kusen, Ema ; Strembeck, Mark.
“Stronger than Hate”: On the Dissemination of Hate Speech during the 2020 Vienna Terrorist Attack. Hrsg. / Christian Guetl, Paolo Ceravolo, Yaser Jararweh, Elhadj Benkhelifa and Oluwasegun Adedugbe. Gandia, Spain: IEEE, 2021. S. 1 - 8.

Publikation: Beitrag in Buch/Konferenzband › Beitrag in Konferenzband

TY - GEN

T1 - 2021 Eighth International Conference on Social Network Analysis, Management and Security (SNAMS)

AU - Lindenmayr, Michaela

AU - Kusen, Ema

AU - Strembeck, Mark

PY - 2021

Y1 - 2021

N2 - In this paper, we present an analysis of 36,685 tweets related to the 2020 Vienna terror attack. We used a Convolutional Neural Network (CNN) approach to identify hateful and non-hateful tweets. Our findings indicate that users who post hateful content are predominantly anonymous. Moreover, we found that hateful messages can spread widely across the network and that hateful communication forms characteristic structural patterns.

AB - In this paper, we present an analysis of 36,685 tweets related to the 2020 Vienna terror attack. We used a Convolutional Neural Network (CNN) approach to identify hateful and non-hateful tweets. Our findings indicate that users who post hateful content are predominantly anonymous. Moreover, we found that hateful messages can spread widely across the network and that hateful communication forms characteristic structural patterns.

UR - http://xplorestaging.ieee.org/ielx7/9732060/9731845/09732081.pdf?arnumber=9732081

M3 - Contribution to conference proceedings

SP - 1

EP - 8

BT - “Stronger than Hate”: On the Dissemination of Hate Speech during the 2020 Vienna Terrorist Attack

A2 - Christian Guetl, Paolo Ceravolo, Yaser Jararweh, Elhadj Benkhelifa and Oluwasegun Adedugbe, null

PB - IEEE

CY - Gandia, Spain

ER -

Lindenmayr M, Kusen E , Strembeck M. 2021 Eighth International Conference on Social Network Analysis, Management and Security (SNAMS). in Christian Guetl, Paolo Ceravolo, Yaser Jararweh, Elhadj Benkhelifa and Oluwasegun Adedugbe, Hrsg., “Stronger than Hate”: On the Dissemination of Hate Speech during the 2020 Vienna Terrorist Attack. Gandia, Spain: IEEE. 2021. S. 1 - 8