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相关论文: Defining and Detecting Toxicity on Social Media: C…

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The rise of social media has been argued to intensify uncivil and hostile online political discourse. Yet, to date, there is a lack of clarity on what incivility means in the political sphere. In this work, we utilize a multidimensional…

计算与语言 · 计算机科学 2023-11-16 Sagi Pendzel , Nir Lotan , Alon Zoizner , Einat Minkov

Toxic Online Content (TOC) includes messages on digital platforms that are harmful, hostile, or damaging to constructive public discourse. Individuals, organizations, and LLMs respond to TOC through counterspeech or counternarrative…

计算机与社会 · 计算机科学 2025-10-15 Lisa Schirch , Kristina Radivojevic , Cathy Buerger

There is an ongoing debate about how to moderate toxic speech on social media and the impact of content moderation on online discourse. This paper proposes and validates a methodology for measuring the content-moderation-induced distortions…

社会与信息网络 · 计算机科学 2026-03-04 Mahyar Habibi , Dirk Hovy , Carlo Schwarz

The rapid growth of social media platforms has raised significant concerns regarding online content toxicity. When Large Language Models (LLMs) are used for toxicity detection, two key challenges emerge: 1) the absence of domain-specific…

计算与语言 · 计算机科学 2025-06-03 Yibo Zhao , Jiapeng Zhu , Can Xu , Yao Liu , Xiang Li

In recent years, offensive, abusive and hateful language, sexism, racism and other types of aggressive and cyberbullying behavior have been manifesting with increased frequency, and in many online social media platforms. In fact, past…

Cyberbullying is a disturbing online misbehaviour with troubling consequences. It appears in different forms, and in most of the social networks, it is in textual format. Automatic detection of such incidents requires intelligent systems.…

计算与语言 · 计算机科学 2018-12-20 Maral Dadvar , Kai Eckert

The ability to quantify incivility online, in news and in congressional debates, is of great interest to political scientists. Computational tools for detecting online incivility for English are now fairly accessible and potentially could…

计算与语言 · 计算机科学 2021-02-09 Anushree Hede , Oshin Agarwal , Linda Lu , Diana C. Mutz , Ani Nenkova

Due to the subtleness, implicity, and different possible interpretations perceived by different people, detecting undesirable content from text is a nuanced difficulty. It is a long-known risk that language models (LMs), once trained on…

计算与语言 · 计算机科学 2022-05-26 Yau-Shian Wang , Yingshan Chang

Sexism is very common in social media and makes the boundaries of freedom tighter for feminist and female users. There is still no comprehensive classification of sexism attracting natural language processing techniques. Categorizing sexism…

计算与语言 · 计算机科学 2019-02-28 Sima Sharifirad , Stan Matwin

Social media platforms enable instant and ubiquitous connectivity and are essential to social interaction and communication in our technological society. Apart from its advantages, these platforms have given rise to negative behaviors in…

社会与信息网络 · 计算机科学 2025-05-08 Silvia García-Méndez , Francisco De Arriba-Pérez

A lack of demographic context in existing toxic speech datasets limits our understanding of how different age groups communicate online. In collaboration with funk, a German public service content network, this research introduces the first…

计算与语言 · 计算机科学 2025-09-01 Jan Fillies , Michael Peter Hoffmann , Rebecca Reichel , Roman Salzwedel , Sven Bodemer , Adrian Paschke

Online media aim for reaching ever bigger audience and for attracting ever longer attention span. This competition creates an environment that rewards sensational, fake, and toxic news. To help limit their spread and impact, we propose and…

计算与语言 · 计算机科学 2019-08-27 Yoan Dinkov , Ivan Koychev , Preslav Nakov

Cyberbullying is a problem in today's ubiquitous online communities. Filtering it out of online conversations has proven a challenge, and efforts have led to the creation of many different datasets, all offered as resources to train…

计算与语言 · 计算机科学 2020-09-03 Khoury Richard , Larochelle Marc-André

Cyberbullying and cyberaggression are increasingly worrisome phenomena affecting people across all demographics. More than half of young social media users worldwide have been exposed to such prolonged and/or coordinated digital harassment.…

Social media is nearly ubiquitous in modern life, raising concerns about its societal impacts -- from mental health and polarization to violence and democratic disruption. Yet research on its causal effects is still inconclusive: Various…

社会与信息网络 · 计算机科学 2026-04-24 Joseph B. Bak-Coleman , Stephan Lewandowsky , Philipp Lorenz-Spreen , Arvind Narayanan , Amy Orben , Lisa Oswald

The increased use of online social networks for the dissemination of information comes with the misuse of the internet for cyberbullying, cybercrime, spam, vandalism, amongst other things. To proactively identify abuse in the networks, we…

社会与信息网络 · 计算机科学 2020-06-23 Abiola Osho , Ethan Tucker , George Amariucai

Faced with the scale and surge of misinformation on social media, many platforms and fact-checking organizations have turned to algorithms for automating key parts of misinformation detection pipelines. While offering a promising solution…

计算机与社会 · 计算机科学 2022-05-02 Terrence Neumann , Maria De-Arteaga , Sina Fazelpour

Social media platforms are often blamed for exacerbating political polarization and worsening public dialogue. Many claim that hyperpartisan users post pernicious content, slanted to their political views, inciting contentious and toxic…

社会与信息网络 · 计算机科学 2024-11-01 Hans W. A. Hanley , Zakir Durumeric

Social networks enable users to freely communicate with each other and share their recent news, ongoing activities or views about different topics. As a result, they can be seen as a potentially viable source of information to understand…

信息检索 · 计算机科学 2016-06-29 Fattane Zarrinkalam , Ebrahim Bagheri

In the current context where online platforms have been effectively weaponized in a variety of geo-political events and social issues, Internet memes make fair content moderation at scale even more difficult. Existing work on meme…