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Map** online hate: A scientometric analysis on research trends and hotspots in research on online hate
Internet and social media participation open doors to a plethora of positive opportunities for
the general public. However, in addition to these positive aspects, digital technology also …
the general public. However, in addition to these positive aspects, digital technology also …
Toward a perspectivist turn in ground truthing for predictive computing
Abstract Most current Artificial Intelligence applications are based on supervised Machine
Learning (ML), which ultimately grounds on data annotated by small teams of experts or …
Learning (ML), which ultimately grounds on data annotated by small teams of experts or …
DEPTWEET: A typology for social media texts to detect depression severities
Mental health research through data-driven methods has been hindered by a lack of
standard typology and scarcity of adequate data. In this study, we leverage the clinical …
standard typology and scarcity of adequate data. In this study, we leverage the clinical …
Detecting pain points from user-generated social media posts using machine learning
Artificial intelligence, particularly machine learning, carries high potential to automatically
detect customers' pain points, which is a particular concern the customer expresses that the …
detect customers' pain points, which is a particular concern the customer expresses that the …
Topic-driven toxicity: Exploring the relationship between online toxicity and news topics
Hateful commenting, also known as 'toxicity', frequently takes place within news stories in
social media. Yet, the relationship between toxicity and news topics is poorly understood. To …
social media. Yet, the relationship between toxicity and news topics is poorly understood. To …
Sentiment analysis on twitter for the major German parties during the 2021 German federal election
We present the results of a project performing sentiment analysis on tweets from German
politicians and party accounts for the 2021 German federal election. We collected over …
politicians and party accounts for the 2021 German federal election. We collected over …
Online hate ratings vary by extremes: A statistical analysis
Analyzing 5,665 crowd ratings on 1,133 social media comments, we find that individuals
tend to agree on the extremes of a hate rating scale more than in the middle when …
tend to agree on the extremes of a hate rating scale more than in the middle when …
[HTML][HTML] PROVOKE: Toxicity trigger detection in conversations from the top 100 subreddits
Promoting healthy discourse on community-based online platforms like Reddit can be
challenging, especially when conversations show ominous signs of toxicity. Therefore, in …
challenging, especially when conversations show ominous signs of toxicity. Therefore, in …
Four types of toxic people: Characterizing online users' toxicity over time
Identifying types of online users' toxic behavior reveals important insights from social media
interactions, including whether a user becomes “radicalized”(more toxic) or “pacified”(less …
interactions, including whether a user becomes “radicalized”(more toxic) or “pacified”(less …
Crowdsourcing subjective annotations using pairwise comparisons reduces bias and error compared to the majority-vote method
How to better reduce measurement variability and bias introduced by subjectivity in
crowdsourced labelling remains an open question. We introduce a theoretical framework for …
crowdsourced labelling remains an open question. We introduce a theoretical framework for …