A survey on automatic detection of hate speech in text

P Fortuna, S Nunes - ACM Computing Surveys (CSUR), 2018 - dl.acm.org
The scientific study of hate speech, from a computer science point of view, is recent. This
survey organizes and describes the current state of the field, providing a structured overview …

Automatic detection of hate speech in text: an overview of the topic and dataset annotation with hierarchical classes

P Fortuna - PQDT-Global, 2017 - search.proquest.com
The use of the internet and social networks, in particular for communication, has significantly
increased in recent years. This growth has also resulted in the adoption of more aggressive …

[PDF][PDF] Taxonomía de la comunicación violenta y el discurso del odio en Internet

FM Llinares - IDP. Revista de internet, derecho y política, 2016 - redalyc.org
Aunque el Derecho siempre se ha ocupado de las palabras ofensivas, lesivas, de odio o
que incitan a la violencia, en los últimos años ha crecido la preocupación social relacionada …

[图书][B] Hybrid Media Events: The Charlie Hebdo Attacks and the Global Circulation of Terrorist Violence

J Sumiala, K Valaskivi, M Tikka, J Huhtamäki - 2018 - emerald.com
On 7 January 2015, Paris and the rest of the Western world was holding its breath, following
every movement in a manhunt launched after a terrorist attack on the French satirical …

A Hashtag Worth a Thousand Words: Discursive Strategies Around #JeNeSuisPasCharlie After the 2015 Charlie Hebdo Shooting

F Giglietto, Y Lee - Social Media+ Society, 2017 - journals.sagepub.com
Following a shooting attack by two self-proclaimed Islamist gunmen at the offices of French
satirical weekly Charlie Hebdo on 7 January 2015, there emerged the hashtag# …

Malevolent creativity and social media: Creating anti-immigration communities on Twitter

C de Saint Laurent, VP Glăveanu… - Creative Learning in …, 2020 - taylorfrancis.com
This chapter examines the role played by malevolent linguistic creativity in the generation
and maintenance of anti-immigration communities on Twitter. In order to understand this …

Automatic identification of harmful, aggressive, abusive, and offensive language on the web: A survey of technical biases informed by psychology literature

A Balayn, J Yang, Z Szlavik, A Bozzon - ACM Transactions on Social …, 2021 - dl.acm.org
The automatic detection of conflictual languages (harmful, aggressive, abusive, and
offensive languages) is essential to provide a healthy conversation environment on the Web …

Analysing Twitter semantic networks: the case of 2018 Italian elections

T Radicioni, F Saracco, E Pavan, T Squartini - Scientific Reports, 2021 - nature.com
Social media play a key role in shaping citizens' political opinion. According to the
Eurobarometer, the percentage of EU citizens employing online social networks on a daily …

Political agency, digital traces, and bottom-up data practices

S Milan - … Journal of Communication, Special Section'Digital …, 2018 - papers.ssrn.com
This theoretical article explores the bottom-up data practices enacted by individuals and
groups in the context of organized collective action. Conversing with critical media theory …

The Charlie Hebdo attacks on Twitter: A comparative analysis of a political controversy in English and French

N Smyrnaios, P Ratinaud - Social Media+ Society, 2017 - journals.sagepub.com
In this article, we propose an original method combining large-scale network and
lexicometric analysis to link identifiable communities of Twitter users with the main …