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As public discourse continues to move and grow online, conversations about divisive topics on social media platforms have also increased. These divisive topics prompt both contentious and non-contentious conversations. Although what…

Computation and Language · Computer Science 2022-04-07 Jacob Beel , Tong Xiang , Sandeep Soni , Diyi Yang

Online platforms have become an increasingly prominent means of communication. Despite the obvious benefits to the expanded distribution of content, the last decade has resulted in disturbing toxic communication, such as cyberbullying and…

Social and Information Networks · Computer Science 2023-09-04 Amit Sheth , Valerie L. Shalin , Ugur Kursuncu

The utilization of social media material in journalistic workflows is increasing, demanding automated methods for the identification of mis- and disinformation. Since textual contradiction across social media posts can be a signal of…

Computation and Language · Computer Science 2017-07-12 Piroska Lendvai , Uwe D. Reichel

A rapidly increasing amount of human conversation occurs online. But divisiveness and conflict can fester in text-based interactions on social media platforms, in messaging apps, and on other digital forums. Such toxicity increases…

Human-Computer Interaction · Computer Science 2023-10-24 Lisa P. Argyle , Ethan Busby , Joshua Gubler , Chris Bail , Thomas Howe , Christopher Rytting , David Wingate

Understanding toxicity in user conversations is undoubtedly an important problem. Addressing "covert" or implicit cases of toxicity is particularly hard and requires context. Very few previous studies have analysed the influence of…

Computation and Language · Computer Science 2022-10-19 Atijit Anuchitanukul , Julia Ive , Lucia Specia

Disagreements are pervasive in human communication. In this paper we investigate what makes disagreement constructive. To this end, we construct WikiDisputes, a corpus of 7 425 Wikipedia Talk page conversations that contain content…

Computation and Language · Computer Science 2021-01-27 Christine de Kock , Andreas Vlachos

Which topics spark the most heated debates on social media? Identifying those topics is not only interesting from a societal point of view, but also allows the filtering and aggregation of social media content for disseminating news…

Social and Information Networks · Computer Science 2017-09-21 Kiran Garimella , Gianmarco De Francisci Morales , Aristides Gionis , Michael Mathioudakis

The rapid development of online media has significantly facilitated the public's information consumption, knowledge acquisition, and opinion exchange. However, it has also led to more violent conflicts in online discussions. Therefore,…

Social and Information Networks · Computer Science 2025-06-02 Songtao Peng , Tao Jin , Kailun Zhu , Qi Xuan , Yong Min

Online social media has become increasingly popular in recent years due to its ease of access and ability to connect with others. One of social media's main draws is its anonymity, allowing users to share their thoughts and opinions without…

Computation and Language · Computer Science 2024-04-12 Vigneshwaran Shankaran , Rajesh Sharma

In health-related topics, user toxicity in online discussions frequently becomes a source of social conflict or promotion of dangerous, unscientific behaviour; common approaches for battling it include different forms of detection, flagging…

Computation and Language · Computer Science 2025-05-26 Jorge Paz-Ruza , Amparo Alonso-Betanzos , Bertha Guijarro-Berdiñas , Carlos Eiras-Franco

Tackling toxic behavior in digital communication continues to be a pressing concern for both academics and industry professionals. While significant research has explored toxicity on platforms like social networks and discussion boards,…

Computation and Language · Computer Science 2025-09-01 Naquee Rizwan , Nayandeep Deb , Sarthak Roy , Vishwajeet Singh Solanki , Kiran Garimella , Animesh Mukherjee

The detection of controversial content in political discussions on the Internet is a critical challenge in maintaining healthy digital discourse. Unlike much of the existing literature that relies on synthetically balanced data, our work…

Social and Information Networks · Computer Science 2025-03-06 Arvindh Arun , Karuna K Chandra , Akshit Sinha , Balakumar Velayutham , Jashn Arora , Manish Jain , Ponnurangam Kumaraguru

Social media platforms promise to enable rich and vibrant conversations online; however, their potential is often hindered by antisocial behaviors. In this paper, we study the relationship between structure and toxicity in conversations on…

Social and Information Networks · Computer Science 2021-10-13 Martin Saveski , Brandon Roy , Deb Roy

Identifying controversial topics is not only interesting from a social point of view, it also enables the application of methods to avoid the information segregation, creating better discussion contexts and reaching agreements in the best…

Information Retrieval · Computer Science 2020-01-28 Juan Manuel Ortiz de Zarate , Esteban Feuerstein

Among the topics discussed in Social Media, some lead to controversy. A number of recent studies have focused on the problem of identifying controversy in social media mostly based on the analysis of textual content or rely on global…

Social and Information Networks · Computer Science 2017-03-16 Mauro Coletto , Kiran Garimella , Aristides Gionis , Claudio Lucchese

Controversial posts are those that split the preferences of a community, receiving both significant positive and significant negative feedback. Our inclusion of the word "community" here is deliberate: what is controversial to some…

Computation and Language · Computer Science 2019-04-17 Jack Hessel , Lillian Lee

User posts whose perceived toxicity depends on the conversational context are rare in current toxicity detection datasets. Hence, toxicity detectors trained on existing datasets will also tend to disregard context, making the detection of…

Computation and Language · Computer Science 2021-11-22 Alexandros Xenos , John Pavlopoulos , Ion Androutsopoulos , Lucas Dixon , Jeffrey Sorensen , Leo Laugier

The abstract outlines the problem of toxic comments on social media platforms, where individuals use disrespectful, abusive, and unreasonable language that can drive users away from discussions. This behavior is referred to as anti-social…

Machine Learning · Computer Science 2023-04-17 K. Poojitha , A. Sai Charish , M. Arun Kuamr Reddy , S. Ayyasamy

Twitter is one of the most popular online micro-blogging and social networking platforms. This platform allows individuals to freely express opinions and interact with others regardless of geographic barriers. However, with the good that…

Social and Information Networks · Computer Science 2022-11-09 Nazanin Salehabadi , Anne Groggel , Mohit Singhal , Sayak Saha Roy , Shirin Nilizadeh

Agonism plays a vital role in democratic dialogue by fostering diverse perspectives and robust discussions. Within the realm of online conflict there is another type: hateful antagonism, which undermines constructive dialogue. Detecting…

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