Namespotting: Username toxicity and actual toxic behavior on Reddit

Urbaniak, Rafal; Tempska, Patrycja; Dowgiałło, Maria; Ptaszyński, Michał; Fortuna, Marcin; Marcińczuk, Michał; Piesiewicz, Jan; Leliwa, Gniewosz; Soliwoda, Kamil; Dziublewska, Ida; Sulzhytskaya, Nataliya; Karnicka, Aleksandra; Skrzek, Paweł; Karbowska, Paula; Brochocki, Maciej; Wroczyński, Michał

doi:10.1016/j.chb.2022.107371

Cited by 9 publications

(3 citation statements)

References 42 publications

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“…We used Bayesian parameter estimation (for benefits on the Bayesian approach in HCI, see [1,35,47,96]) to quantify effects, using brms [17], a STAN-sampler wrapper [18] in R [92]. We computed 4 Hamilton-Monte-Carlo chains, each with 40000 iterations and a 20% warm-up.…”

Section: Bayesian Data Analysismentioning

confidence: 99%

Navigating the Virtual Gaze: Social Anxiety’s Role in VR proxemics

Mello,

Welsch,

Verbokkem

et al. 2024

Preprint

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For individuals with Social Anxiety (SA), interacting with others can be a challenging experience, a concern that extends into the virtual world. While technology has made significant strides in creating more realistic virtual human agents (VHA), the interplay of gaze and interpersonal distance when interacting with VHAs is often neglected. This paper investigates the effect of dynamic and static gaze animations in VHAs on interpersonal distance and their relation to SA. A Bayesian analysis shows that static centered and dynamic centering gaze led participants to stand closer to VHAs than static averted and dynamic averting gaze, respectively. In the static gaze conditions, this pattern was found to be reversed in SA: participants with SA traits kept larger distances for static-centered gaze than for averted gaze VHAs. These findings update theory, elucidate how nuanced interactions with VHAs must be designed, and offer renewed guidelines for pleasant VHA interaction design.

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Section: Bayesian Data Analysismentioning

confidence: 99%

Navigating the Virtual Gaze: Social Anxiety’s Role in VR proxemics

Mello,

Welsch,

Verbokkem

et al. 2024

Preprint

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show abstract

“…They found that news sources associated with highly toxic content were more likely to be shared across political subreddits, suggesting that social media platforms should promote neutral and scientific news sources to reduce toxic discussions. Instead, the authors of [26] analyzed the correlation between username toxicity and toxic behavior on Reddit. They found that users with toxic usernames tend to produce more toxic content and engage in more toxic behavior, indicating that username toxicity can predict toxic behavior and enhance online safety.…”

Section: Literature Reviewmentioning

confidence: 99%

The Dark Threads That Weave the Web of Shame: A Network Science-Inspired Analysis of Body Shaming on Reddit

Corradini

2023

Information

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Deep within online forums, we often stumble across body shaming. Words like “fat” and “ugly” are tossed around, hurting those they target. But can we peel back the layers of these online communities? In this study, social network analysis is used to shine a light on body shaming on Reddit, a well-known online platform. This paper presents a comprehensive social network analysis of body shaming on Reddit, one of the largest online platforms. The research delves into the intricacies of body shaming by identifying key actors, communities, and patterns of behavior and communication related to body shaming. The results show how behavior and communication differ across Reddit’s various subgroups, and how user activity and the length of comments can vary. Through the application of topic modeling, the main subjects discussed in each subgroup were identified. This enables an understanding of what drives discussions about body shaming. The findings provide valuable insights into the spread and normalization of harmful behaviors and attitudes related to body shaming, which can inform the development of targeted interventions aimed at reducing this harmful behavior and promoting more positive and inclusive attitudes towards body image and weight.

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“…In other research, Urbaniak et al (2022) extracted the relationships between the usernames and users' behavior on Reddit and analyzed the relationships; they found that toxic usernames (those containing toxic words) tend to create more toxic content (posts and comments) and are more likely to be suspended. Ravazzi et al (2022) suggested that malicious accounts from fringe social networks such as Parler penetrate the mainstream social networks such as Twitter after becoming popular.…”

Section: Literature Reviewmentioning

confidence: 99%

Behaviour and Bot Analysis on Online Social Networks

Alipour,

Orji,

Zincir-Heywood

2023

International Journal of Technology and Human Interaction

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The internet is home to a multitude of social networks that provide users with a sense of community and connection across the world. Among these, Twitter and Reddit are two of the most popular. While Twitter users follow and interact with other users (tweets), Reddit users follow and interact with communities known as subreddits. In addition to mainstream social networks, alternative platforms such as Parler exist for users who prefer less moderated online environments. However, there are also malicious users, such as bots and trolls, who exploit social networks for malicious purposes. Therefore, separating malicious behaviors from legitimate ones is crucial. This research aims to evaluate Botometer and RepScope systems to analyze the temporal posting behaviors of Twitter, Reddit, and Parler users and to identify bots, trolls, and malicious behaviors.

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Namespotting: Username toxicity and actual toxic behavior on Reddit

Cited by 9 publications

References 42 publications

Navigating the Virtual Gaze: Social Anxiety’s Role in VR proxemics

Navigating the Virtual Gaze: Social Anxiety’s Role in VR proxemics

The Dark Threads That Weave the Web of Shame: A Network Science-Inspired Analysis of Body Shaming on Reddit

Behaviour and Bot Analysis on Online Social Networks

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