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Discussion forums are an important source of information. They are often used to answer specific questions a user might have and to discover more about a topic of interest. Discussions in these forums may evolve in intricate ways, making it…

Information Retrieval · Computer Science 2017-07-26 Dat Tien Nguyen , Shafiq Joty , Basma El Amel Boussaha , Maarten de Rijke

Readers' responses to literature have received scant attention in computational literary studies. The rise of social media offers an opportunity to capture a segment of these responses while data-driven analysis of these responses can…

Computation and Language · Computer Science 2021-05-10 Pavan Holur , Shadi Shahsavari , Ehsan Ebrahimzadeh , Timothy R. Tangherlini , Vwani Roychowdhury

High-centrality nodes have disproportionate influence on the behavior of a network; therefore controlling such nodes can efficiently steer the system to a desired state. Existing multiplex centrality measures typically rank nodes assuming…

Physics and Society · Physics 2019-06-10 Márton Pósfai , Niklas Braun , Brianne A. Beisner , Brenda McCowan , Raissa M. D'Souza

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

Large Language Models (LLMs) have emerged as promising zero-shot rankers, but their performance is highly sensitive to prompt formulation. In particular, role-play prompts, where the model is assigned a functional role or identity, often…

Information Retrieval · Computer Science 2026-01-14 Yumeng Wang , Jirui Qi , Catherine Chen , Panagiotis Eustratiadis , Suzan Verberne

Relevance plays a central role in information retrieval (IR), which has received extensive studies starting from the 20th century. The definition and the modeling of relevance has always been critical challenges in both information science…

Information Retrieval · Computer Science 2021-03-02 Yixing Fan , Jiafeng Guo , Xinyu Ma , Ruqing Zhang , Yanyan Lan , Xueqi Cheng

Increasingly people form opinions based on information they consume on online social media. As a result, it is crucial to understand what type of content attracts people's attention on social media and drive discussions. In this paper we…

Social and Information Networks · Computer Science 2017-05-09 Benjamin D. Horne , Sibel Adali , Sujoy Sikdar

Training and refreshing a web-scale Question Answering (QA) system for a multi-lingual commercial search engine often requires a huge amount of training examples. One principled idea is to mine implicit relevance feedback from user behavior…

Information Retrieval · Computer Science 2020-06-17 Linjun Shou , Shining Bo , Feixiang Cheng , Ming Gong , Jian Pei , Daxin Jiang

As breaking news unfolds people increasingly rely on social media to stay abreast of the latest updates. The use of social media in such situations comes with the caveat that new information being released piecemeal may encourage rumours,…

Social and Information Networks · Computer Science 2016-04-27 Arkaitz Zubiaga , Maria Liakata , Rob Procter , Geraldine Wong Sak Hoi , Peter Tolmie

Town hall-type debates are increasingly moving online, irrevocably transforming public discourse. Yet, we know relatively little about crucial social dynamics that determine which arguments are more likely to be successful. This study…

Social and Information Networks · Computer Science 2023-06-26 Henry K. Dambanemuya , Daniel Romero , Emőke-Ágnes Horvát

Many E-commerce sites now offer product-specific question answering platforms for users to communicate with each other by posting and answering questions during online shopping. However, the multiple answers provided by ordinary users…

Information Retrieval · Computer Science 2020-06-30 Wenxuan Zhang , Yang Deng , Wai Lam

Mechanistic interpretation has greatly contributed to a more detailed understanding of generative language models, enabling significant progress in identifying structures that implement key behaviors through interactions between internal…

Information Retrieval · Computer Science 2025-11-25 Meng Lu , Catherine Chen , Carsten Eickhoff

The overall objective of 'social' dialogue systems is to support engaging, entertaining, and lengthy conversations on a wide variety of topics, including social chit-chat. Apart from raw dialogue data, user-provided ratings are the most…

Computation and Language · Computer Science 2018-11-05 Igor Shalyminov , Ondřej Dušek , Oliver Lemon

Online consumer reviews play a crucial role in guiding purchase decisions by offering insights into product quality, usability, and performance. However, the increasing volume of user-generated reviews has led to information overload,…

Information Retrieval · Computer Science 2026-01-12 Muhammad Mufti , Omar Hammad , Mahfuzur Rahman

The evaluation of mathematical results plays a central role in assessing researchers' contributions and shaping the direction of the field. Currently, such evaluations rely primarily on human judgment, whether through journal peer review or…

Social and Information Networks · Computer Science 2026-03-31 Gergely Bérczi , Bin Dong , Haocheng Ju , Tianyi Xu

Roles are one of the most important concepts in understanding human sociocognitive behavior. During group interactions, members take on different roles within the discussion. Roles have distinct patterns of behavioral engagement (i.e.,…

Computation and Language · Computer Science 2018-08-22 Nia Dowell , Tristian Nixon , Arthur Graesser

This paper provides a simple theoretical framework to evaluate the effect of key parameters of ranking algorithms, namely popularity and personalization parameters, on measures of platform engagement, misinformation and polarization. The…

Social and Information Networks · Computer Science 2022-10-06 Fabrizio Germano , Vicenç Gómez , Francesco Sobbrio

While the body of research directed towards constructing and generating clarifying questions in mixed-initiative conversational search systems is vast, research aimed at processing and comprehending users' answers to such questions is…

Information Retrieval · Computer Science 2024-01-23 Ivan Sekulić , Weronika Łajewska , Krisztian Balog , Fabio Crestani

Online social networks are used to diffuse opinions and ideas among users, enabling a faster communication and a wider audience. The way in which opinions are conditioned by social interactions is usually called social influence. Social…

Social and Information Networks · Computer Science 2019-07-03 Federico Corò , Emilio Cruciani , Gianlorenzo D'Angelo , Stefano Ponziani

When developers investigate a new bug report, they search for similar previously fixed bug reports and discussion threads attached to them. These discussion threads convey important information about the behavior of the bug including…

Software Engineering · Computer Science 2021-05-26 Rrezarta Krasniqi