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Social media creates crucial mass changes, as popular posts and opinions cast a significant influence on users' decisions and thought processes. For example, the recent Reddit uprising inspired by r/wallstreetbets which had remarkable…

Machine Learning · Computer Science 2021-06-18 Juno Kim

This paper examines the shift in focus on content policies and user attitudes on the social media platform Reddit. We do this by focusing on comments from general Reddit users from five posts made by admins (moderators) on updates to Reddit…

Computation and Language · Computer Science 2022-03-21 Elissa Nakajima Wickham , Emily Öhman

Social media platforms provide millions of professional content creators with sustainable incomes. Their income is largely influenced by their number of views and followers, which in turn depends on the platform's recommender system (RS).…

Computers and Society · Computer Science 2025-10-24 Salima Jaoua , Nicolò Pagan , Anikó Hannák , Stefania Ionescu

Today, users are reading the news through social platforms. These platforms are built to facilitate crowd engagement, but not necessarily disseminate useful news to inform the masses. Hence, the news that is highly engaged with may not be…

Social and Information Networks · Computer Science 2017-11-07 Benjamin D. Horne , Sibel Adali

We introduce and make publicly available an entity linking dataset from Reddit that contains 17,316 linked entities, each annotated by three human annotators and then grouped into Gold, Silver, and Bronze to indicate inter-annotator…

Computation and Language · Computer Science 2021-02-26 Nicholas Botzer , Yifan Ding , Tim Weninger

This study proposes content and interaction analysis techniques for a large repository created from social media content. Though we have presented our study for a large platform dedicated to discussions around financial topics, the proposed…

Social and Information Networks · Computer Science 2024-03-13 Sachin Thukral , Suyash Sangwan , Arnab Chatterjee , Lipika Dey , Aaditya Agrawal , Pramit Kumar Chandra , Animesh Mukherjee

This research investigates how people engage with data visualizations when commenting on the social platform Reddit. There has been considerable research on collaborative sensemaking with visualizations and the personal relation of people…

Human-Computer Interaction · Computer Science 2021-03-18 Tobias Kauer , Arran Ridley , Marian Dörk , Benjamin Bach

Peer recommendation is a crowdsourcing task that leverages the opinions of many to identify interesting content online, such as news, images, or videos. Peer recommendation applications often use social signals, e.g., the number of prior…

Physics and Society · Physics 2016-01-28 Tad Hogg , Kristina Lerman

The primary goal in recommendation is to suggest relevant content to users, but optimizing for accuracy often results in recommendations that lack diversity. To remedy this, conventional approaches such as re-ranking improve diversity by…

Machine Learning · Computer Science 2023-06-12 Itay Eilat , Nir Rosenfeld

At a time when information seekers first turn to digital sources for news and opinion, it is critical that we understand the role that social media plays in human behavior. This is especially true when information consumers also act as…

Social and Information Networks · Computer Science 2015-06-08 Maria Glenski , Thomas J. Johnston , Tim Weninger

Social media is very popular for facilitating conversations about important topics and bringing forth insights and issues related to these topics. Reddit serves as a platform that fosters social interactions and hosts engaging discussions…

Social and Information Networks · Computer Science 2024-12-03 Smriti Janaswamy , Jeremy Blackburn

This article presents evidence of performance deterioration in online user sessions quantified by studying a massive dataset containing over 55 million comments posted on Reddit in April 2015. After segmenting the sessions (i.e., periods of…

Social and Information Networks · Computer Science 2017-03-07 Philipp Singer , Emilio Ferrara , Farshad Kooti , Markus Strohmaier , Kristina Lerman

As crowd-sourced curation of news and information become the norm, it is important to understand not only how individuals consume information through social news Web sites, but also how they contribute to their ranking systems. In the…

Social and Information Networks · Computer Science 2017-03-16 Maria Glenski , Corey Pennycuff , Tim Weninger

Millions of people use online social networks to reinforce their sense of belonging, for example by giving and asking for feedback as a form of social validation and self-recognition. It is common to observe disagreement among people…

Social and Information Networks · Computer Science 2024-09-09 Diletta Goglia , Davide Vega

The creation and sharing of memes is a common modality of online social interactions. The goal of the present work is to better understand the collective dynamics of memes in this accelerating and competitive environment. By taking an…

Social and Information Networks · Computer Science 2021-02-09 Trenton Ford , Rachel Krohn , Tim Weninger

It has been a widely shared concern that social media reinforces echo chambers of like-minded users and exacerbate political polarization. While fostering interactions across party lines is recognized as an important strategy to break echo…

Social and Information Networks · Computer Science 2024-10-08 Yan Xia , Corrado Monti , Barbara Keller , Mikko Kivelä

Recent works in recommendation systems have focused on diversity in recommendations as an important aspect of recommendation quality. In this work we argue that the post-processing algorithms aimed at only improving diversity among…

Computers and Society · Computer Science 2018-07-18 Jurek Leonhardt , Avishek Anand , Megha Khosla

Selective exposure is the main driver for the economy of attention when consuming online content. We select information adhering to our system of beliefs and ignore dissenting information. However, even personal interest is likely to play a…

Computers and Society · Computer Science 2019-12-20 Carlo Michele Valensise , Matteo Cinelli , Alessandro Galeazzi , Walter Quattrociocchi

We study the effect of the number of users on the activity of communities within the online content sharing and discussion platform Reddit, called subreddits. We found that comment activity on Reddit has a heavy-tailed distribution, where a…

Physics and Society · Physics 2025-03-05 Guilherme Machado , Diogo Pacheco , Ronaldo Menezes , Gareth Baxter

This paper presents the first empirical analysis of how diverse token-based reward mechanisms impact platform dynamics and user behaviors. For this, we gather a unique, large-scale dataset from Farcaster. This blockchain-based,…

Social and Information Networks · Computer Science 2025-11-06 Wen Yang , Qiming Ye , Onur Ascigil , Saidu Sokoto , Leonhard Balduf , Michał Król , Gareth Tyson