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Even though the Internet and social media have increased the amount of news and information people can consume, most users are only exposed to content that reinforces their positions and isolates them from other ideological communities.…

Social and Information Networks · Computer Science 2021-12-21 Federico Albanese , Leandro Lombardi , Esteban Feuerstein , Pablo Balenzuela

YouTube, a world-famous video sharing website, maintains a list of the top trending videos on the platform. Due to its huge amount of users, it enables researchers to understand people's preference by analyzing the trending videos. Trending…

Social and Information Networks · Computer Science 2020-02-04 Songyang Zhang , Tolga Aktas , Jiebo Luo

Data generated by audits of social media websites have formed the basis of our understanding of the biases presented in algorithmic content recommendation systems. As legislators around the world are beginning to consider regulating the…

Information Retrieval · Computer Science 2026-03-10 Sarmad Chandio , Daniyal Pirwani Dar , Rishab Nithyanand

Automated social media accounts, known as bots, are increasingly recognized as key tools for manipulative online activities. These activities can stem from coordination among several accounts and these automated campaigns can manipulate…

Social and Information Networks · Computer Science 2023-11-01 Yasser Zouzou , Onur Varol

Influencer marketing involves a wide range of strategies in which brands collaborate with popular content creators (i.e., influencers) to leverage their reach, trust, and impact on their audience to promote and endorse products or services.…

Computation and Language · Computer Science 2023-09-07 Danae Sánchez Villegas , Catalina Goanta , Nikolaos Aletras

With the advancement of web technology and its growth, there is a huge volume of data present in the web for internet users and a lot of data is generated too. Internet has become a platform for online learning, exchanging ideas and sharing…

Computation and Language · Computer Science 2016-11-04 Vishal. A. Kharde , Prof. Sheetal. Sonawane

The daily exposure of social media users to propaganda and disinformation campaigns has reinvigorated the need to investigate the local and global patterns of diffusion of different (mis)information content on social media. Echo chambers…

Social and Information Networks · Computer Science 2020-09-24 Stefano Guarino , Noemi Trino , Alessandro Celestini , Alessandro Chessa , Gianni Riotta

In Twitter, there is a rising trend in abusive behavior which often leads to incivility. This trend is affecting users mentally and as a result they tend to leave Twitter and other such social networking sites thus depleting the active user…

Social and Information Networks · Computer Science 2018-09-05 Suman Kalyan Maity , Aishik Chakraborty , Pawan Goyal , Animesh Mukherjee

Social networking and micro-blogging services, such as Twitter, play an important role in sharing digital information. Despite the popularity and usefulness of social media, they are regularly abused by corrupt users. One of these nefarious…

Social and Information Networks · Computer Science 2022-10-28 Tanveer Khan , Antonis Michalas

Growing evidence suggests that YouTube's recommendation algorithm plays a role in online radicalization via surfacing extreme content. Radical Islamist groups, in particular, have been profiting from the global appeal of YouTube to…

Social and Information Networks · Computer Science 2022-08-17 Nuha Albadi , Maram Kurdi , Shivakant Mishra

Social media is interactive, and interaction brings misinformation. With the growing amount of user-generated data, fake news on online platforms has become much frequent since the arrival of social networks. Now and then, an event occurs…

Social and Information Networks · Computer Science 2021-11-24 Chahat Raj , Priyanka Meel

Sarcasm is a peculiar form of sentiment expression, where the surface sentiment differs from the implied sentiment. The detection of sarcasm in social media platforms has been applied in the past mainly to textual utterances where lexical…

Computer Vision and Pattern Recognition · Computer Science 2016-08-09 Rossano Schifanella , Paloma de Juan , Joel Tetreault , Liangliang Cao

With the ever-increasing spread of misinformation on online social networks, it has become very important to identify the spreaders of misinformation (unintentional), disinformation (intentional), and misinformation refutation. It can help…

Social and Information Networks · Computer Science 2023-05-02 Euna Mehnaz Khan , Ayush Ram , Bhavtosh Rath , Emily Vraga , Jaideep Srivastava

This study presents a data-driven analysis of COVID-19 discourse on YouTube, examining the sentiment, toxicity, and thematic patterns of video content published between January 2023 and October 2024. The analysis involved applying advanced…

Social and Information Networks · Computer Science 2024-12-24 Vanessa Su , Nirmalya Thakur

In this paper, we introduce YTCommentVerse, a large-scale multilingual and multi-category dataset of YouTube comments. It contains over 32 million comments from 178,000 videos contributed by more than 20 million unique users spanning 15…

Social and Information Networks · Computer Science 2025-09-16 Hridoy Sankar Dutta , Biswadeep Khan

User contributions in the form of posts, comments, and votes are essential to the success of online communities. However, allowing user participation also invites undesirable behavior such as trolling. In this paper, we characterize…

Social and Information Networks · Computer Science 2016-05-17 Justin Cheng , Cristian Danescu-Niculescu-Mizil , Jure Leskovec

Unscrupulous content creators on YouTube employ deceptive techniques such as spam and clickbait to reach a broad audience and trick users into clicking on their videos to increase their advertisement revenue. Clickbait detection on YouTube…

Social and Information Networks · Computer Science 2021-12-17 Peya Mowar , Mini Jain , Ruchika Goel , Dinesh Kumar Vishwakarma

In January 2019, YouTube announced it would exclude potentially harmful content from video recommendations but allow such videos to remain on the platform. While this step intends to reduce YouTube's role in propagating such content,…

Social and Information Networks · Computer Science 2021-04-26 Cody Buntain , Richard Bonneau , Jonathan Nagler , Joshua A. Tucker

Detecting and characterizing emerging topics of discussion and consumer trends through analysis of Internet data is of great interest to businesses. This paper considers the problem of monitoring the Web to spot emerging memes - distinctive…

Social and Information Networks · Computer Science 2010-12-30 Kristin Glass , Richard Colbaugh

Depression is one of the most prevalent mental health issues around the world, proving to be one of the leading causes of suicide and placing large economic burdens on families and society. In this paper, we develop and test the efficacy of…

Computers and Society · Computer Science 2020-08-18 Shanya Sharma , Manan Dey