“We found no violation!”: Twitter's Violent Threats Policy and Toxicity in Online Discourse

Casula, Pooja; Anupam, Aditya; Parvin, Nassim

doi:10.1145/3461564.3461589

Cited by 3 publications

(2 citation statements)

References 13 publications

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“…Free speech : There is a lack of comparative analysis of samples of free speech text and hate speech. For instance, in a study performed in Casula et al (2021), the authors discussed the effects of the moderation policies to avoid a toxic online environment in free speech. The researchers affirmed that even though online social media platforms state that they have developed a more inclusive online discourse environment, the moderation policies on online social media platforms can inhibit free speech and precipitates self-censorship.…”

Section: Research Directions and Gaps For Hate Speech Detection On So...mentioning

confidence: 99%

Exploring Automatic Hate Speech Detection on Social Media: A Focus on Content-Based Analysis

2023

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Hate speech is a challenging problem, and its dissemination can cause potential harm to individuals and society by creating a sense of general unwelcoming to the marginalized groups, which usually are targeted. Therefore, it is essential to understand this issue and which techniques are useful for automatic detection. This paper presents a survey on automatic hate speech detection on social media, providing a structured overview of theoretical aspects and practical resources. Thus, we review different definitions of the term “hate speech” from social network platforms and the scientific community. We also present an overview of the methodologies used for hate speech detection, and we describe the main approaches currently explored in this context, including popular features, datasets, and algorithms. Furthermore, we discuss some challenges and opportunities for better solving this issue.

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Section: Research Directions and Gaps For Hate Speech Detection On So...mentioning

confidence: 99%

Exploring Automatic Hate Speech Detection on Social Media: A Focus on Content-Based Analysis

2023

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“…Whether the focused and decontextualised certainties of the activist justify such abuse of opponents is not a question usually addressed by those sympathetic to activism (Jane, 2014). A further physicalisation of abuse is the death (or rape) threat, an expression of the desire for an attack on the physical body (Casula et al, 2021;Hardaker and McGlashan, 2016;Jane, 2016).…”

Section: Progress and Disruptionmentioning

confidence: 99%

Digital Modernity

O’Hara

2022

FNT in Web Science

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Modernity" is a social, cultural or historical descriptor for a certain type of society or set of social arrangements. This monograph reviews narratives of digital modernity, without endorsing them; as narratives, they selectively discuss aspects of our sociotechnical context, descriptively, teleologically or normatively. Digital modernity narratives focus on the possibilities of the data gathered by an ambient data infrastructure, enabled by ubiquitous devices such as the smartphone, and activities such as social networking and e-commerce. Some emphasise continuities with 20th century modernity narratives, while others emphasise discontinuity, such as theories of the singularity. Digital modernity is characterised by: a subjunctive outlook where people's choices can be anticipated and improved upon; the valorisation of disruptive innovation on demand; and control provided by data analysis within a virtual realm (cyberspace or the metaverse) which can be extended and applied to the physical world (in such applications as the quantified self and the smart city). The synergies and tensions between these three aspects are explored, as are the opportunities for and dilemmas posed by misinformation. Five principles emerge from the study of relevant texts and business models: (1) the quantity of data being produced in the world has enabled, and been enabled by, technological, social, economic and

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