Creating a WhatsApp Dataset to Study Pre-teen Cyberbullying

Rachele Sprugnoli; Stefano Menini; Sara Tonelli; Filippo Oncini; Enrico Maria Piras

Creating a WhatsApp Dataset to Study Pre-teen Cyberbullying

Rachele Sprugnoli^*, Stefano Menini, Sara Tonelli, Filippo Oncini, Enrico Maria Piras

^*Corresponding author

Università Cattolica del Sacro Cuore

Fondazione Bruno Kessler

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

Abstract

Although WhatsApp is used by teenagers as one major channel of cyberbullying, such interactions remain invisible due to the app privacy policies that do not allow ex-post data collection. Indeed, most of the information on these phenomena rely on surveys regarding self-reported data. In order to overcome this limitation, we describe in this paper the activities that led to the creation of a WhatsApp dataset to study cyberbullying among Italian students aged 12-13. We present not only the collected chats with annotations about user role and type of offense, but also the living lab created in a collaboration between researchers and schools to monitor and analyse cyberbullying. Finally, we discuss some open issues, dealing with ethical, operational and epistemic aspects.

Original language	English
Title of host publication	Proceedings of the Second Workshop on Abusive Language Online (ALW2)
Pages	51-59
Number of pages	9
Publication status	Published - 2018
Event	Second Workshop on Abusive Language Online (ALW2) - Brussels, Belgium Duration: 31 Oct 2018 → 31 Oct 2018

Workshop

Workshop	Second Workshop on Abusive Language Online (ALW2)
City	Brussels, Belgium
Period	31/10/18 → 31/10/18

Keywords

cyberbullying detection, hate speech, annotation, whatsapp

Cite this

@inproceedings{a7e98df3703c4e86bf957a8cd2cd6f8f,

title = "Creating a WhatsApp Dataset to Study Pre-teen Cyberbullying",

abstract = "Although WhatsApp is used by teenagers as one major channel of cyberbullying, such interactions remain invisible due to the app privacy policies that do not allow ex-post data collection. Indeed, most of the information on these phenomena rely on surveys regarding self-reported data. In order to overcome this limitation, we describe in this paper the activities that led to the creation of a WhatsApp dataset to study cyberbullying among Italian students aged 12-13. We present not only the collected chats with annotations about user role and type of offense, but also the living lab created in a collaboration between researchers and schools to monitor and analyse cyberbullying. Finally, we discuss some open issues, dealing with ethical, operational and epistemic aspects.",

keywords = "cyberbullying detection, hate speech, annotation, whatsapp, cyberbullying detection, hate speech, annotation, whatsapp",

author = "Rachele Sprugnoli and Stefano Menini and Sara Tonelli and Filippo Oncini and Piras, {Enrico Maria}",

year = "2018",

language = "English",

isbn = "9781948087681",

pages = "51--59",

booktitle = "Proceedings of the Second Workshop on Abusive Language Online (ALW2)",

note = "Second Workshop on Abusive Language Online (ALW2) ; Conference date: 31-10-2018 Through 31-10-2018",

}

TY - GEN

T1 - Creating a WhatsApp Dataset to Study Pre-teen Cyberbullying

AU - Sprugnoli, Rachele

AU - Menini, Stefano

AU - Tonelli, Sara

AU - Oncini, Filippo

AU - Piras, Enrico Maria

PY - 2018

Y1 - 2018

N2 - Although WhatsApp is used by teenagers as one major channel of cyberbullying, such interactions remain invisible due to the app privacy policies that do not allow ex-post data collection. Indeed, most of the information on these phenomena rely on surveys regarding self-reported data. In order to overcome this limitation, we describe in this paper the activities that led to the creation of a WhatsApp dataset to study cyberbullying among Italian students aged 12-13. We present not only the collected chats with annotations about user role and type of offense, but also the living lab created in a collaboration between researchers and schools to monitor and analyse cyberbullying. Finally, we discuss some open issues, dealing with ethical, operational and epistemic aspects.

AB - Although WhatsApp is used by teenagers as one major channel of cyberbullying, such interactions remain invisible due to the app privacy policies that do not allow ex-post data collection. Indeed, most of the information on these phenomena rely on surveys regarding self-reported data. In order to overcome this limitation, we describe in this paper the activities that led to the creation of a WhatsApp dataset to study cyberbullying among Italian students aged 12-13. We present not only the collected chats with annotations about user role and type of offense, but also the living lab created in a collaboration between researchers and schools to monitor and analyse cyberbullying. Finally, we discuss some open issues, dealing with ethical, operational and epistemic aspects.

KW - cyberbullying detection, hate speech, annotation, whatsapp

UR - http://hdl.handle.net/10807/133027

UR - http://www.aclweb.org/anthology/w18-5107

M3 - Conference contribution

SN - 9781948087681

SP - 51

EP - 59

BT - Proceedings of the Second Workshop on Abusive Language Online (ALW2)

T2 - Second Workshop on Abusive Language Online (ALW2)

Y2 - 31 October 2018 through 31 October 2018

ER -

Creating a WhatsApp Dataset to Study Pre-teen Cyberbullying

Abstract

Workshop

Keywords

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