“How can data help against hate and disinformation on the net? And why is it important to join forces with civil society organizations? We talked about this with Hanna Gleiß,
Category: Algorithms
Defining and identifying hate motives: bias indicators for the Australian context (CRIS)Defining and identifying hate motives: bias indicators for the Australian context (CRIS)
“This report is structured in two parts: in Part 1, we introduce and discuss the concept of bias indicators, including their uses, benefits, and risks. In Part 2, we present
Detecting twitter hate speech in COVID-19 era using machine learning and ensemble learning techniques (International Journal of Information Management Data Insights)Detecting twitter hate speech in COVID-19 era using machine learning and ensemble learning techniques (International Journal of Information Management Data Insights)
“The COVID-19 pandemic has impacted every nation, and social isolation is the major protective method for the coronavirus. People express themselves via Facebook and Twitter. People disseminate disinformation and hate
Free speech or Free Hate Speech? Analyzing the Proliferation of Hate Speech in Parler (ACL Anothology)Free speech or Free Hate Speech? Analyzing the Proliferation of Hate Speech in Parler (ACL Anothology)
“Social platforms such as Gab and Parler, branded as ‘free-speech’ networks, have seen a significant growth of their user base in recent years. This popularity is mainly attributed to the
Hate Speech and Counter Speech Detection: Conversational Context Does Matter (ACL Anthology)Hate Speech and Counter Speech Detection: Conversational Context Does Matter (ACL Anthology)
“This paper investigates the role of context in the annotation and detection of online hate and counter speech, where context is defined as the preceding comment in a conversation thread.
The Role of Context in Detecting the Target of Hate Speech (ACL Anthology)The Role of Context in Detecting the Target of Hate Speech (ACL Anthology)
“In this paper, we focus on detecting the target of hate speech in Dutch social media: whether a hateful Facebook comment is directed against migrants or not (i.e., against someone
Hate-speech-CNERG / bert-base-uncased-hatexplain-rationale-two (huggingface.co)Hate-speech-CNERG / bert-base-uncased-hatexplain-rationale-two (huggingface.co)
“The model is used for classifying a text as Abusive (Hatespeech and Offensive) or Normal. The model is trained using data from Gab and Twitter and Human Rationales were included
Combating Hate Speech and Disinformation Against Social Polarization and How to be a Fact-Checking Influencer (Friedrich Naumann Foundation for Freedom)Combating Hate Speech and Disinformation Against Social Polarization and How to be a Fact-Checking Influencer (Friedrich Naumann Foundation for Freedom)
“Mahadevan stated that in the MediaWise, they aim to increase people’s awareness so they can fact-check the news examples they encounter with the media literacy method for the target group.
aiXplain at Arabic Hate Speech 2022: An Ensemble Based Approach to Detecting Offensive Tweets (ACL Anthology)aiXplain at Arabic Hate Speech 2022: An Ensemble Based Approach to Detecting Offensive Tweets (ACL Anthology)
“This paper outlines aiXplain Inc.’s ensemble based approach to detecting offensive speech in the Arabic language based on OSACT5’s shared sub-task A. Additionally, this paper highlights multiple challenges that may
Improving Generalization of Hate Speech Detection Systems to Novel Target Groups via Domain Adaptation (ACL Anthology)Improving Generalization of Hate Speech Detection Systems to Novel Target Groups via Domain Adaptation (ACL Anthology)
“In this paper, we investigate the generalization capabilities of deep learning models to different target groups of hate speech under clean experimental settings. Furthermore, we assess the efficacy of three