ADHOC

Analyzing Dangerous Speech, Hate Speech and Offensive Speech in Romanian and Hungarian Public Facebook Contexts using Computational Sociology Approaches

ADHOC is funded by UEFISCDI through the PN III P1-1.1-TE program
Project code: 2016-0892 | Contract number: 35/2018

Project Description

The ADHOC research project aims to use digital social research methodology to create an overview of the issue of hate speech on public Facebook contexts through a comparative analysis of Romanian and Hungarian Facebook Fan pages and associated comment threads. The proposal is anchored in computational sociology methodology to provide a large-scale data-driven analysis of contexts, emitters, contents and targets of dangerous speech, hate speech and offensive speech in social media with generalizable results and evidence that could drive policy in the matter. The analyzed samples include news outlets, satirical websites, social entertainment communities, political parties, governmental institutions and non-governmental organizations, activist groups. Data collection of a set estimated at 15-20 million posts and subsequent comments will be automated by using Facebook Open Graph API interrogation. The ADHOC mixed methods approach combines quantitative discourse analysis techniques, co-occurrence analysis with in-depth qualitative approaches to better understand multimodal content, tone and context of the prominent identified hate speech acts.

Objectives

The ADHOC research project aims to use digital social research methodology to create an overview of the issue of hate speech on public Facebook contexts through a comparative analysis of Romanian and Hungarian Facebook Fan pages. The specific objectives underpinning this goal are:

Context Identification

Identifying the most popular or most relevant Facebook Fan Pages in the Romanian and Hungarian linguistic contexts in different categories – entertainment, news media, politics (governmental, non-governmental, activist), brands, communities or sports.

Context Analysis

Analyzing the posts of each selected Facebook Fan Page in terms of type, time-frame, topic and engagement through comments, reactions and shares.

Term Classification

Identifying and classifying terms and phrases in Romanian and Hungarian that point towards antagonistic speech into dangerous speech, hate speech and offensive speech.

Target Classification

Identifying and classifying references to groups which are often targeted by dangerous speech, hate speech and offensive speech in messages or comments.

Co-occurrence Analysis

Analyzing the co-occurrence of references to target groups with different types of antagonistic speech in Facebook comments aiming to identify emitters, targets, content, context (including temporal).

Comparative Analysis

Comparing the findings for the Romanian and Hungarian linguistic contexts and putting them into perspective regarding previous findings in the region and in the respective countries.

Results

Conceptual framework

A working paper defining the conceptual framework for analyzing antagonistic speech - hate speech, offensive speech and dangerous speech will be published on the project web page during the first stage of the project.

State of the Art

Databases

Research Reports

Workshops and Conferences

Publications

Project Team

Grant Director
Associate Professor

Radu Meza

meza@fspac.ro

Experienced Researcher
Associate Professor

Andreea Mogoș

mogos@fspac.ro

Experienced Researcher
Associate Professor

Hanna Orsolya Vincze

vincze.orsolya@fspac.ro

Timeline

May 2018

Project Start

June 2018

CEECOM Conference

September 2018

Sampling

Contact

Departamentul de Jurnalism și Media digitală
Facultatea de Științe Politice, Administratice și ale Comunicării
Universitatea Babeș-Bolyai, Cluj-Napoca
Str. Traian Moșoiu, nr 71, cod poștal: 400132

Grant director:
Associate Professor Radu Meza, Ph.D.
meza@fspac.ro