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Research on online political communication has primarily focused on content in explicitly political spaces. In this work, we set out to determine the amount of political talk missed using this approach. Focusing on Reddit, we estimate that…

Social and Information Networks · Computer Science 2021-04-21 Ashwin Rajadesingan , Ceren Budak , Paul Resnick

The rapid growth of social media in recent years has fed into some highly undesirable phenomena such as proliferation of abusive and offensive language on the Internet. Previous research suggests that such hateful content tends to come from…

Computation and Language · Computer Science 2019-02-19 Pushkar Mishra , Marco Del Tredici , Helen Yannakoudakis , Ekaterina Shutova

The online hate speech is proliferating with several organization and countries implementing laws to ban such harmful speech. While these restrictions might reduce the amount of such hateful content, it does so by restricting freedom of…

Social and Information Networks · Computer Science 2018-12-07 Binny Mathew , Navish Kumar , Ravina , Pawan Goyal , Animesh Mukherjee

Generic `toxicity' classifiers continue to be used for evaluating the potential for harm in natural language generation, despite mounting evidence of their shortcomings. We consider the challenge of measuring misogyny in natural language…

Computation and Language · Computer Science 2023-12-07 Aaron J. Snoswell , Lucinda Nelson , Hao Xue , Flora D. Salim , Nicolas Suzor , Jean Burgess

Now-a-days, derogatory comments are often made by one another, not only in offline environment but also immensely in online environments like social networking websites and online communities. So, an Identification combined with Prevention…

Computation and Language · Computer Science 2019-03-19 Navoneel Chakrabarty

Previous research has documented the existence of both online echo chambers and hostile intergroup interactions. In this paper, we explore the relationship between these two phenomena by studying the activity of 5.97M Reddit users and 421M…

Offensive and abusive language is a pressing problem on social media platforms. In this work, we propose a method for transforming offensive comments, statements containing profanity or offensive language, into non-offensive ones. We design…

Computation and Language · Computer Science 2020-11-03 Minh Tran , Yipeng Zhang , Mohammad Soleymani

Deepfakes are synthetic content generated using advanced deep learning and AI technologies. The advancement of technology has created opportunities for anyone to create and share deepfakes much easier. This may lead to societal concerns…

Human-Computer Interaction · Computer Science 2022-03-30 Dilrukshi Gamage , Piyush Ghasiya , Vamshi Krishna Bonagiri , Mark E Whiting , Kazutoshi Sasahara

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…

Computation and Language · Computer Science 2025-09-01 Jan Fillies , Michael Peter Hoffmann , Rebecca Reichel , Roman Salzwedel , Sven Bodemer , Adrian Paschke

With the rapid growth of social media usage, a common trend has emerged where users often make sarcastic comments on posts. While sarcasm can sometimes be harmless, it can blur the line with cyberbullying, especially when used in negative…

Social and Information Networks · Computer Science 2024-11-01 Pinky Pamecha , Chaitya Shah , Divyam Jain , Kashish Gandhi , Kiran Bhowmick , Meera Narvekar

We investigate the task of modeling open-domain, multi-turn, unstructured, multi-participant, conversational dialogue. We specifically study the effect of incorporating different elements of the conversation. Unlike previous efforts, which…

Computation and Language · Computer Science 2016-06-02 Rami Al-Rfou , Marc Pickett , Javier Snaider , Yun-hsuan Sung , Brian Strope , Ray Kurzweil

Toxic language, such as hate speech, can deter users from participating in online communities and enjoying popular platforms. Previous approaches to detecting toxic language and norm violations have been primarily concerned with…

Computation and Language · Computer Science 2023-10-10 Jihyung Moon , Dong-Ho Lee , Hyundong Cho , Woojeong Jin , Chan Young Park , Minwoo Kim , Jonathan May , Jay Pujara , Sungjoon Park

Recently, social media platforms are heavily moderated to prevent the spread of online hate speech, which is usually fertile in toxic words and is directed toward an individual or a community. Owing to such heavy moderation, newer and more…

Social and Information Networks · Computer Science 2023-03-21 Punyajoy Saha , Kiran Garimella , Narla Komal Kalyan , Saurabh Kumar Pandey , Pauras Mangesh Meher , Binny Mathew , Animesh Mukherjee

Suicide remains a critical global public health issue. While previous studies have provided valuable insights into detecting suicidal expressions in individual social media posts, limited attention has been paid to the analysis of…

Computation and Language · Computer Science 2025-10-17 Jun Li , Qun Zhao

Efforts by content creators and social networks to enforce legal and policy-based norms, e.g. blocking hate speech and users, has driven the rise of unrestricted communication platforms. One such recent effort is Dissenter, a browser and…

Computers and Society · Computer Science 2021-12-21 Erik Rye , Jeremy Blackburn , Robert Beverly

When discussing difficult topics online, is it common to meaningfully engage with people from diverse perspectives? Why or why not? Could features of the online environment be redesigned to encourage civil conversation across difference? In…

Social and Information Networks · Computer Science 2024-09-09 Rijul Magu , Nivedhitha Mathan Kumar , Yihe Liu , Xander Koo , Diyi Yang , Amy Bruckman

To identify and classify toxic online commentary, the modern tools of data science transform raw text into key features from which either thresholding or learning algorithms can make predictions for monitoring offensive conversations. We…

Machine Learning · Computer Science 2018-10-05 David Noever

Flood of information is produced in a daily basis through the global Internet usage arising from the on-line interactive communications among users. While this situation contributes significantly to the quality of human life, unfortunately…

Computation and Language · Computer Science 2024-06-04 Spiros V. Georgakopoulos , Sotiris K. Tasoulis , Aristidis G. Vrahatis , Vassilis P. Plagianakos

The advent of social media has led to an increased concern over its potential to propagate hate speech and misinformation, which, in addition to contributing to prejudice and discrimination, has been suspected of playing a role in…

Machine Learning · Computer Science 2023-09-26 Andrew Alexander , Hongbin Wang

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