Tootfinder

Promoting Online Safety by Simulating Unsafe Conversations with LLMs
Owen Hoffman, Kangze Peng, Zehua You, Sajid Kamal, Sukrit Venkatagiri
https://arxiv.org/abs/2507.22267 https…

Promoting Online Safety by Simulating Unsafe Conversations with LLMs
Generative AI, including large language models (LLMs) have the potential -- and already are being used -- to increase the speed, scale, and types of unsafe conversations online. LLMs lower the barrier for entry for bad actors to create unsafe conversations in particular because of their ability to generate persuasive and human-like text. In our current work, we explore ways to promote online safety by teaching people about unsafe conversations that can occur online with and without LLMs. We bui…

#Amazon will künftig personalisierte #Werbung in Gespräche mit dem KI-Assistenten #AlexaPlus integrieren.
#CEO

Amazon CEO wants to put ads in your Alexa+ conversations | TechCrunch
Amazon is spending a fortune on AI infrastructure and CEO Andy Jassy sees a new way to pay for it with Alexa+.

The Diane Abbott row shows how impoverished Britain’s conversations about race have become | Jason Okundaye https://www.theguardian.com/commentisfree/2025/jul/18/diane-abbott-britain-race-conversations-minorities?CMP=share_…

Some Swiss-German speaking folks just don't realize how impolite and disrespectful it is to default to Swiss-German in the middle of conversations, Zoom calls, or similar professional situations where they know for a fact that there are non-Swiss-German speaking attendees (or from abroad!) in the meeting. Whatever the language chosen for a particular meeting, and for the sake of inclusivity and understanding, be respectful. Even native Germans and Austrians struggle with Swiss-German, p…

Queuing for Civility: Regulating Emotions and Reducing Toxicity in Digital Discourse
Akriti Verma, Shama Islam, Valeh Moghaddam, Adnan Anwar
https://arxiv.org/abs/2509.00696 htt…

Queuing for Civility: Regulating Emotions and Reducing Toxicity in Digital Discourse
The pervasiveness of online toxicity, including hate speech and trolling, disrupts digital interactions and online well-being. Previous research has mainly focused on post-hoc moderation, overlooking the real-time emotional dynamics of online conversations and the impact of users' emotions on others. This paper presents a graph-based framework to identify the need for emotion regulation within online conversations. This framework promotes self-reflection to manage emotional responses and encour…

A Decade of News Forum Interactions: Threaded Conversations, Signed Votes, and Topical Tags
Emma Fraxanet, Vicen\c{c} G\'omez, Andreas Kaltenbrunner, Max Pellert
https://arxiv.org/abs/2506.22224

A Decade of News Forum Interactions: Threaded Conversations, Signed Votes, and Topical Tags
We present a large-scale, longitudinal dataset capturing user activity on the online platform of DerStandard, a major Austrian newspaper. The dataset spans ten years (2013-2022) and includes over 75 million user comments, more than 400 million votes, and detailed metadata on articles and user interactions. It provides structured conversation threads, explicit up- and downvotes of user comments and editorial topic labels, enabling rich analyses of online discourse while preserving user privacy. …

Queueing for Civility: User Perspectives on Regulating Emotions in Online Conversations
Akriti Verma, Shama Islam, Valeh Moghaddam, Adnan Anwar
https://arxiv.org/abs/2507.11477

Queueing for Civility: User Perspectives on Regulating Emotions in Online Conversations
Online conversations are often interrupted by trolling, which causes emotional distress and conflict among users. Previous research has focused on moderating harmful content after it has been posted, but ways to manage emotions in real-time remain unexplored. This study suggests a comment queuing mechanism that delays comment publishing, encourages self-reflection, and reduces the impact of impulsive and toxic comments. To assess the efficacy of this approach, a mixed-method research design is …

Talking Surveys: How Photorealistic Embodied Conversational Agents Shape Response Quality, Engagement, and Satisfaction
Matus Krajcovic, Peter Demcak, Eduard Kuric
https://arxiv.org/abs/2508.02376

Talking Surveys: How Photorealistic Embodied Conversational Agents Shape Response Quality, Engagement, and Satisfaction
Embodied conversational agents (ECAs) are increasingly more realistic and capable of dynamic conversations. In online surveys, anthropomorphic agents could help address issues like careless responding and satisficing, which originate from the lack of personal engagement and perceived accountability. However, there is a lack of understanding of how ECAs in user experience research may affect participant engagement, satisfaction, and the quality of responses. As a proof of concept, we propose an …

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations
Wenlu Fan, Wentao Xu
https://arxiv.org/abs/2506.12077 https://

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations
As large language models (LLMs) become increasingly integrated into online platforms and digital communication spaces, their potential to influence public discourse - particularly in contentious areas like climate change - requires systematic investigation. This study examines how LLMs naturally moderate climate change conversations through their distinct communicative behaviors. We conduct a comparative analysis of conversations between LLMs and human users on social media platforms, using fiv…

The Chilling: Identifying Strategic Antisocial Behavior Online and Examining the Impact on Journalists
Yian Wang, Mukhilshankar Umashankar, Eshwar CHandrasekharan, Hari Sundaram
https://arxiv.org/abs/2508.15061

The Chilling: Identifying Strategic Antisocial Behavior Online and Examining the Impact on Journalists
On social platforms like Twitter, strategic targeted attacks are becoming increasingly common, especially against vulnerable groups such as female journalists. Two key challenges in identifying strategic online behavior are the complex structure of online conversations and the hidden nature of potential strategies that drive user behavior. To address these, we develop a new tree structured Transformer model that categorizes replies based on their hierarchical conversation structures. Extensive …