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The proliferation of harmful and offensive content is a problem that many online platforms face today. One of the most common approaches for moderating offensive content online is via the identification and removal after it has been posted,…

社会与信息网络 · 计算机科学 2021-12-03 Matthew Katsaros , Kathy Yang , Lauren Fratamico

Warning users about misinformation on social media is not a simple usability task. Soft moderation has to balance between debunking falsehoods and avoiding moderation bias while preserving the social media consumption flow. Platforms thus…

计算机与社会 · 计算机科学 2022-05-04 Filipo Sharevski , Amy Devine , Emma Pieroni , Peter Jacnim

Social media platforms like Facebook and Reddit host thousands of user-governed online communities. These platforms sanction communities that frequently violate platform policies; however, public perceptions of such sanctions remain…

人机交互 · 计算机科学 2024-09-10 Shagun Jhaver

The proliferation of harmful content shared online poses a threat to online information integrity and the integrity of discussion across platforms. Despite various moderation interventions adopted by social media platforms, researchers and…

社会与信息网络 · 计算机科学 2023-04-07 Valerio La Gatta , Luca Luceri , Francesco Fabbri , Emilio Ferrara

Twitter, prompted by the rapid spread of alternative narratives, started actively warning users about the spread of COVID-19 misinformation. This form of soft moderation comes in two forms: as a warning cover before the Tweet is displayed…

社会与信息网络 · 计算机科学 2021-04-05 Filipo Sharevski , Raniem Alsaadi , Peter Jachim , Emma Pieroni

To curb the problem of false information, social media platforms like Twitter started adding warning labels to content discussing debunked narratives, with the goal of providing more context to their audiences. Unfortunately, these labels…

密码学与安全 · 计算机科学 2022-12-13 Pujan Paudel , Jeremy Blackburn , Emiliano De Cristofaro , Savvas Zannettou , Gianluca Stringhini

Polarization, declining trust, and wavering support for democratic norms are pressing threats to U.S. democracy. Exposure to verified and quality news may lower individual susceptibility to these threats and make citizens more resilient to…

社会与信息网络 · 计算机科学 2024-04-02 Hadi Askari , Anshuman Chhabra , Bernhard Clemm von Hohenberg , Michael Heseltine , Magdalena Wojcieszak

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

Social media provides a critical communication platform for political figures, but also makes them easy targets for harassment. In this paper, we characterize users who adversarially interact with political figures on Twitter using…

人机交互 · 计算机科学 2020-05-12 Yiqing Hua , Mor Naaman , Thomas Ristenpart

Recent research brought awareness of the issue of bots on social media and the significant risks of mass manipulation of public opinion in the context of political discussion. In this work, we leverage Twitter to study the discourse during…

社会与信息网络 · 计算机科学 2019-02-11 Luca Luceri , Ashok Deb , Adam Badawy , Emilio Ferrara

Online social media enables mass-level, transparent, and democratized discussion on numerous socio-political issues. Due to such openness, these platforms often endure manipulation and misinformation - leading to negative impacts. To…

社会与信息网络 · 计算机科学 2021-01-26 Farhan Asif Chowdhury , Dheeman Saha , Md Rashidul Hasan , Koustuv Saha , Abdullah Mueen

Internet users highly rely on and trust web search engines, such as Google, to find relevant information online. However, scholars have documented numerous biases and inaccuracies in search outputs. To improve the quality of search results,…

计算机与社会 · 计算机科学 2023-10-06 Aleksandra Urman , Aniko Hannak , Mykola Makhortykh

With fact-checking by professionals being difficult to scale on social media, algorithmic techniques have been considered. However, it is uncertain how the public may react to labels by automated fact-checkers. In this study, we investigate…

人机交互 · 计算机科学 2024-03-20 Gionnieve Lim , Simon T. Perrault

Social media platforms increasingly employ proactive moderation techniques, such as detecting and curbing toxic and uncivil comments, to prevent the spread of harmful content. Despite these efforts, such approaches are often criticized for…

人机交互 · 计算机科学 2025-07-30 Xiaotian Su , Naim Zierau , Soomin Kim , April Yi Wang , Thiemo Wambsganss

Online abuse is becoming an increasingly prevalent issue in modern-day society, with 41 percent of Americans having experienced online harassment in some capacity in 2021. People who identify as women, in particular, can be subjected to a…

人机交互 · 计算机科学 2023-01-19 Sarah Barrington

We investigate the impact of free speech and the relaxation of moderation on online social media platforms using Elon Musk's takeover of Twitter as a case study. By curating a dataset of over 10 million tweets, our study employs a novel…

社会与信息网络 · 计算机科学 2025-03-13 Arvindh Arun , Saurav Chhatani , Jisun An , Ponnurangam Kumaraguru

Trolling and social bots have been proven as powerful tactics for manipulating the public opinion and sowing discord among Twitter users. This effort requires substantial content fabrication and account coordination to evade Twitter's…

密码学与安全 · 计算机科学 2020-03-30 Filipo Sharevski , Peter Jachim , Kevin Florek

Until recently, social media was seen to promote democratic discourse on social and political issues. However, this powerful communication platform has come under scrutiny for allowing hostile actors to exploit online discussions in an…

社会与信息网络 · 计算机科学 2018-11-01 Adam Badawy , Emilio Ferrara , Kristina Lerman

Online social media platforms use automated moderation systems to remove or reduce the visibility of rule-breaking content. While previous work has documented the importance of manual content moderation, the effects of automated content…

计算机与社会 · 计算机科学 2023-02-17 Manoel Horta Ribeiro , Justin Cheng , Robert West

Social media platforms are increasingly deploying complex interventions to help users detect false news. Labeling false news using techniques that combine crowd-sourcing with artificial intelligence (AI) offers a promising way to inform…

人机交互 · 计算机科学 2021-12-08 Ziv Epstein , Nicolò Foppiani , Sophie Hilgard , Sanjana Sharma , Elena Glassman , David Rand
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