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Collectives adapt their network structure to the challenges they face. It has been hypothesized that collectives experiencing a real or imagined threat from an outgroup tend to consolidate behind a few influential group members, and that…

Social and Information Networks · Computer Science 2023-02-24 N. Gizem Bacaksizlar Turbic , Mirta Galesic

As online reviews increasingly drive consumer decisions, the impact of review interface design on rating authenticity remains under-explored. This research investigates how evaluation sequence ("Rating-First" vs. "Review-First") influences…

Information Retrieval · Computer Science 2026-03-12 He Wang , Yueheng Wang , Ziyu Zhou , Hanxiang Liu

Online marketplaces, search engines, and databases employ aggregated social information to rank their content for users. Two ranking heuristics commonly implemented to order the available options are the average review score and item…

Information Retrieval · Computer Science 2017-06-27 Pantelis P. Analytis , Alexia Delfino , Juliane Kämmer , Mehdi Moussaïd , Thorsten Joachims

Displaying community fact-checks is a promising approach to reduce engagement with misinformation on social media. However, how users respond to misleading content emotionally after community fact-checks are displayed on posts is unclear.…

Social and Information Networks · Computer Science 2025-01-28 Yuwei Chuai , Anastasia Sergeeva , Gabriele Lenzini , Nicolas Pröllochs

Online news outlets are grappling with the moderation of user-generated content within their comment section. We present a recommender system based on ranking class probabilities to support and empower the moderator in choosing featured…

Information Retrieval · Computer Science 2023-07-17 Cedric Waterschoot , Antal van den Bosch

Measuring the impact and success of human performance is common in various disciplines, including art, science, and sports. Quantifying impact also plays a key role on social media, where impact is usually defined as the reach of a user's…

Social and Information Networks · Computer Science 2019-04-09 Kiran Garimella , Robert West

Ranking algorithms play a crucial role in online platforms ranging from search engines to recommender systems. In this paper, we identify a surprising consequence of popularity-based rankings: the fewer the items reporting a given signal,…

Information Retrieval · Computer Science 2022-04-29 Fabrizio Germano , Vicenç Gómez , Gaël Le Mens

Since the Russian invasion of Ukraine, a large volume of biased and partisan news has been spread via social media platforms. As this may lead to wider societal issues, we argue that understanding how partisan news sharing impacts users'…

Social and Information Networks · Computer Science 2023-11-28 Yiming Zhu , Ehsan-Ul Haq , Gareth Tyson , Lik-Hang Lee , Yuyang Wang , Pan Hui

AI-generated content is rapidly becoming a salient component of online information ecosystems, yet its influence on public trust and epistemic judgments remains poorly understood. We present a large-scale mixed-design experiment (N = 1,000)…

Human-Computer Interaction · Computer Science 2025-11-05 Adnan Hoq , Matthew Facciani , Tim Weninger

How do humans respond to indirect social influence when making decisions? We analysed an experiment where subjects had to repeatedly guess the correct answer to factual questions, while having only aggregated information about the answers…

Physics and Society · Physics 2013-02-12 Pavlin Mavrodiev , Claudio J. Tessone , Frank Schweitzer

Social feedback has long been recognized as an important element of successful health-related behavior change. However, most of the existing studies look at the effect that offline social feedback has. This paper fills gaps in the…

Social and Information Networks · Computer Science 2017-01-20 Tiago O. Cunha , Ingmar Weber , Gisele L. Pappa

The ever-increasing amount of information flowing through Social Media forces the members of these networks to compete for attention and influence by relying on other people to spread their message. A large study of information propagation…

Computers and Society · Computer Science 2010-08-09 Daniel M. Romero , Wojciech Galuba , Sitaram Asur , Bernardo A. Huberman

As of February 2016 Facebook allows users to express their experienced emotions about a post by using five so-called `reactions'. This research paper proposes and evaluates alternative methods for predicting these reactions to user posts on…

Artificial Intelligence · Computer Science 2017-12-12 Florian Krebs , Bruno Lubascher , Tobias Moers , Pieter Schaap , Gerasimos Spanakis

Images are an indispensable part of the news content we consume. Highly emotional images from sources of misinformation can greatly influence our judgements. We present two studies on the effects of emotional facial images on users'…

Human-Computer Interaction · Computer Science 2022-05-06 Alireza Karduni , Ryan Wesslen , Douglas Markant , Wenwen Dou

We consider a discrete opinion formation problem in a setting where agents are influenced by both information diffused by their social relations and from recommendations received directly from the social media manager. We study how the…

Social and Information Networks · Computer Science 2022-04-28 Vincenzo Auletta , Antonio Coppola , Diodato Ferraioli

Modern technology has drastically changed the way we interact and consume information. For example, online social platforms allow for seamless communication exchanges at an unprecedented scale. However, we are still bounded by cognitive and…

Physics and Society · Physics 2018-11-09 Nicola Perra , Luis E C Rocha

Social media has enabled the spread of information at unprecedented speeds and scales, and with it the proliferation of high-engagement, low-quality content. *Friction* -- behavioral design measures that make the sharing of content more…

Social and Information Networks · Computer Science 2023-07-24 Laura Jahn , Rasmus K. Rendsvig , Alessandro Flammini , Filippo Menczer , Vincent F. Hendricks

This paper addresses the question of how language use affects community reaction to comments in online discussion forums, and the relative importance of the message vs. the messenger. A new comment ranking task is proposed based on…

Computation and Language · Computer Science 2015-08-18 Aaron Jaech , Victoria Zayats , Hao Fang , Mari Ostendorf , Hannaneh Hajishirzi

In social media platforms, user behavior is often influenced by interactions with other users, complicating the accurate estimation of causal effects in traditional A/B experiments. This study investigates situations where an individual's…

Social and Information Networks · Computer Science 2024-02-21 Lu Deng , Yilin Li , JingJing Zhang , Yong Wang , Chuan Chen

The fundamental building block of social influence is for one person to elicit a response in another. Researchers measuring a "response" in social media typically depend either on detailed models of human behavior or on platform-specific…

Social and Information Networks · Computer Science 2013-02-19 Greg Ver Steeg , Aram Galstyan
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