Analyzing Dangerous Speech, Hate Speech and Offensive Speech in Romanian and Hungarian Public Facebook Contexts using Computational Sociology Approaches
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.
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.
Analyzing the posts of each selected Facebook Fan Page in terms of type, time-frame, topic and engagement through comments, reactions and shares.
Identifying and classifying terms and phrases in Romanian and Hungarian that point towards antagonistic speech into dangerous speech, hate speech and offensive speech.
Identifying and classifying references to groups which are often targeted by dangerous speech, hate speech and offensive speech in messages or comments.
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).
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.
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.
A state of the art working paper summarizing the most literature on the topic of online hate speech and information about the newest automated text analysis software tools (for Romanian and Hungarian) will be published on the project web page during the first stage of the project.
The corpus databases containing samples of antagonistic Facebook comments extracted from Romanian and Hungarian Public Facebook pages for the 2016-2017 time-frame will be published on the project website during the first and second stage of the project.
A preliminary research report summarizing studied Facebook pages activity, engagement and mentions of targets of antagonistic speech over time will be published on the project web page at the end of the first stage of the project.
A research workshop meant to present and discuss methodology and an overview the coding rules to check assumptions and receive input from peers in the field or related fields will be organized during the second stage of the project.
Research papers sent for publication in peer reviewed international research journals indexed in international research databases, including in Web of Science, during the second stage of the project.
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
Associate Professor Radu Meza, Ph.D.