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Understanding environmental posts: Sentiment and emotion analysis of social media data
Social media is now the predominant source of information due to the availability of
immediate public response. As a result, social media data has become a valuable resource …
immediate public response. As a result, social media data has become a valuable resource …
A taxonomy of rater disagreements: Surveying challenges & opportunities from the perspective of annotating online toxicity
Toxicity is an increasingly common and severe issue in online spaces. Consequently, a rich
line of machine learning research over the past decade has focused on computationally …
line of machine learning research over the past decade has focused on computationally …
Bibliometric analysis of granger causality studies
Granger causality provides a framework that uses predictability to identify causation
between time series variables. This is important to policymakers for effective policy …
between time series variables. This is important to policymakers for effective policy …
A systematic review of toxicity in large language models: Definitions, datasets, detectors, detoxification methods and challenges
G Villate-Castillo, J Del Ser, BS Urquijo - 2024 - researchsquare.com
The emergence of the transformer architecture has ushered in a new era of possibilities,
showcasing remarkable capabilities in generative tasks exemplified by models like GPT4o …
showcasing remarkable capabilities in generative tasks exemplified by models like GPT4o …
Detection and analysis of stress-related posts in Reddit's acamedic communities
Nowadays, the significance of monitoring stress levels and recognizing early signs of mental
illness cannot be overstated. Automatic stress detection in text can proactively help manage …
illness cannot be overstated. Automatic stress detection in text can proactively help manage …
Toxicity prediction in reddit
TCC Falade, N Yousefi, N Agarwal - 2024 - aisel.aisnet.org
Toxic content, including abusive and hateful conversations, is a growing concern on social
media platforms. This paper proposed and evaluated a novel approach based on …
media platforms. This paper proposed and evaluated a novel approach based on …
Special issue on analysis and mining of social media data
Abstract This Editorial introduces the PeerJ Computer Science Special Issue on Analysis
and Mining of Social Media Data. The special issue called for submissions with a primary …
and Mining of Social Media Data. The special issue called for submissions with a primary …
Tracking Patterns in Toxicity and Antisocial Behavior Over User Lifetimes on Large Social Media Platforms
An increasing amount of attention has been devoted to the problem of" toxic" or antisocial
behavior on social media. In this paper we analyze such behavior at very large scales: we …
behavior on social media. In this paper we analyze such behavior at very large scales: we …
The medium is the message: toxicity declines in structured vs unstructured online deliberations
Humanity needs to deliberate effectively at scale about highly complex and contentious
problems. Current online deliberation tools—such as email, chatrooms, and forums—are …
problems. Current online deliberation tools—such as email, chatrooms, and forums—are …
Special issue on analysis and mining of social media data
[EN] This Editorial introduces the PeerJ Computer Science Special Issue on Analysis and
Mining of Social Media Data. The special issue called for submissions with a primary focus …
Mining of Social Media Data. The special issue called for submissions with a primary focus …