Social Networking Sites are home to different forms of hate, including "Misogynoir", which specifically targets Black women through a combination of racism and sexism. Detecting misogynoir presents challenges due to its subjective nature and the varied interpretations of hate speech. Using annotator justifications from four distinct demographic groups; including Black women, Black men, White women and White men, we seek to gain a deeper understanding of the factors that influence annotators' reasoning process and labelling decisions for potential cases of Misogynoir and Allyship. Given the unique experiences of Black women who face both racism and sexism, the study sought to understand how their intersectional identities shape their perspe...
Studies and history have proven that Black women have experienced forms of hatred that are inhumane....
This paper proposes ‘sexist assemblages’ as a way of understanding how the human and mechanical elem...
In this paper we present a proposal to address the problem of the pricey and unreliable human annota...
Social Networking Sites are home to different forms of hate, including "Misogynoir", which specifica...
Social Networking Sites are home to different forms of hate, including "Misogynoir", which specifica...
"Misogynoir" is a term that refers to the anti-Black forms of misogyny that Black women experience....
Crowdsourced annotation is vital to both collecting labelled data to train and test automated conten...
The perceived toxicity of language can vary based on someone's identity and beliefs, but this variat...
Intersectional analysis of social media data is rare. Social media data is ripe for identity and int...
Researchers in computer science have spent considerable time developing methods to increase the accu...
Algorithms are widely applied to detect hate speech and abusive language in social media. We investi...
My research assesses textual information from four universities’ “crush pages” on Twitter, a widely ...
In this paper we present a proposal to address the problem of the pricey and unreliable human annota...
Human biases have found their way into our digital footprints. Human corpora and human forms of expr...
Human biases have found their way into our digital footprints. Human corpora and human forms of expr...
Studies and history have proven that Black women have experienced forms of hatred that are inhumane....
This paper proposes ‘sexist assemblages’ as a way of understanding how the human and mechanical elem...
In this paper we present a proposal to address the problem of the pricey and unreliable human annota...
Social Networking Sites are home to different forms of hate, including "Misogynoir", which specifica...
Social Networking Sites are home to different forms of hate, including "Misogynoir", which specifica...
"Misogynoir" is a term that refers to the anti-Black forms of misogyny that Black women experience....
Crowdsourced annotation is vital to both collecting labelled data to train and test automated conten...
The perceived toxicity of language can vary based on someone's identity and beliefs, but this variat...
Intersectional analysis of social media data is rare. Social media data is ripe for identity and int...
Researchers in computer science have spent considerable time developing methods to increase the accu...
Algorithms are widely applied to detect hate speech and abusive language in social media. We investi...
My research assesses textual information from four universities’ “crush pages” on Twitter, a widely ...
In this paper we present a proposal to address the problem of the pricey and unreliable human annota...
Human biases have found their way into our digital footprints. Human corpora and human forms of expr...
Human biases have found their way into our digital footprints. Human corpora and human forms of expr...
Studies and history have proven that Black women have experienced forms of hatred that are inhumane....
This paper proposes ‘sexist assemblages’ as a way of understanding how the human and mechanical elem...
In this paper we present a proposal to address the problem of the pricey and unreliable human annota...