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With the spread of false and misleading information in current news, many algorithmic tools have been introduced with the aim of assessing bias and reliability in written content. However, there has been little work exploring how effective…

计算机与社会 · 计算机科学 2019-05-20 Benjamin D. Horne , Dorit Nevo , John O'Donovan , Jin-Hee Cho , Sibel Adali

User-generated content (UGC) on social media platforms is vulnerable to incitements and manipulations, necessitating effective regulations. To address these challenges, those platforms often deploy automated content moderators tasked with…

机器学习 · 计算机科学 2025-07-29 Saba Ahmadi , Avrim Blum , Haifeng Xu , Fan Yao

The proliferation of multimedia content on social media platforms has dramatically transformed how information is consumed and disseminated. While this shift enables real-time coverage of global events, it also facilitates the rapid spread…

The increasing popularity of social media has attracted a huge number of people to participate in numerous activities on a daily basis. This results in tremendous amounts of rich user-generated data. This data provides opportunities for…

密码学与安全 · 计算机科学 2018-08-08 Ghazaleh Beigi , Huan Liu

Generative Artificial Intelligence (AI) tools are increasingly deployed across social media platforms, yet their implications for user behavior and experience remain understudied, particularly regarding two critical dimensions: (1) how AI…

人机交互 · 计算机科学 2025-06-18 Anders Giovanni Møller , Daniel M. Romero , David Jurgens , Luca Maria Aiello

Journalists are key information workers who have specific requirements from information systems to support the verification and exploration of information. We overview the DMINR tool that has been designed and developed to meet the needs of…

This article considers the increasing use of algorithmic decision-support systems and synthetic media in the newsroom, and explores how generative models can help reporters and editors across a range of tasks from the conception of a news…

计算机与社会 · 计算机科学 2024-03-01 Sachita Nishal , Nicholas Diakopoulos

The global spread of misinformation and concerns about content trustworthiness have driven the development of automated fact-checking systems. Since false information often exploits social media dynamics such as "likes" and user networks to…

社会与信息网络 · 计算机科学 2026-02-03 Vítor N. Lourenço , Aline Paes , Tillman Weyde

Social media platforms enable the rapid dissemination and consumption of information. However, users instantly consume such content regardless of the reliability of the shared data. Consequently, the latter crowdsourcing model is exposed to…

Social media platforms, increasingly used as news sources for varied data analytics, have transformed how information is generated and disseminated. However, the unverified nature of this content raises concerns about trustworthiness and…

We describe the results of a qualitative study on journalists' information seeking behavior on social media. Based on interviews with eleven journalists along with a study of a set of university level journalism modules, we determined the…

信息检索 · 计算机科学 2020-01-23 Omid Aghili , Mark Sanderson

The pervasiveness of the dissemination of fake news through social media platforms poses critical risks to the trust of the general public, societal stability, and democratic institutions. This challenge calls for novel methodologies in…

计算与语言 · 计算机科学 2025-02-04 Jingyuan Yi , Zeqiu Xu , Tianyi Huang , Peiyang Yu

Disinformation and false content produced by generative AI pose a significant challenge for journalists and fact-checkers who must rapidly verify digital media information. While there is an abundance of NLP models for detecting credibility…

Although social media provides a vibrant platform to discuss real-world events, the quantity of information generated can overwhelm decision making based on that information. By better understanding who is participating in information…

社会与信息网络 · 计算机科学 2018-10-03 Rahul Pandey , Hemant Purohit , Jennifer Chan , Aditya Johri

Wikipedia and many User-Generated Content (UGC) communities are known for producing reliable, quality content, but also for being vulnerable to false or misleading information. Previous work has shown that many hoaxes on Wikipedia go…

计算机与社会 · 计算机科学 2023-02-20 Anis Elebiary , Giovanni Luca Ciampaglia

Social media comprises interactive applications and platforms for creating, sharing and exchange of user-generated contents. The past ten years have brought huge growth in social media, especially online social networking services, and it…

社会与信息网络 · 计算机科学 2012-03-09 Sheng Yu , Subhash Kak

The use of social media is ubiquitous and nowadays well-established in our everyday life, but increasingly also before, during or after emergencies. The produced data is spread across several types of social media and can be used by…

社会与信息网络 · 计算机科学 2019-07-19 Marc-André Kaufhold , Christian Reuter , Thomas Ludwig

Online users today are exposed to misleading and propagandistic news articles and media posts on a daily basis. To counter thus, a number of approaches have been designed aiming to achieve a healthier and safer online news and media…

计算与语言 · 计算机科学 2021-08-31 Seunghak Yu , Giovanni Da San Martino , Mitra Mohtarami , James Glass , Preslav Nakov

In this paper we analyze how user generated content (UGC) is created, challenging the well known {\it wisdom of crowds} concept. Although it is known that user activity in most settings follow a power law, that is, few people do a lot,…

计算机与社会 · 计算机科学 2016-04-12 Ricardo Baeza-Yates , Diego Saez-Trumper

Social media platforms offer flagging, a technical feature that empowers users to report inappropriate posts or bad actors to reduce online harm. The deceptively simple flagging interfaces on nearly all major social media platforms disguise…

人机交互 · 计算机科学 2024-12-12 Alice Qian Zhang , Kaitlin Montague , Shagun Jhaver